Most-cited articles · 2022

The 100 most-cited articles in Frontiers in Psychology, 2022

Ranked by OpenAlex citation count on 29 October 2026, out of 8,110 eligible articles Frontiers in Psychology published in 2022. Ranks are frozen; this page will not change. Number one, with 567 citations: The metaverse in education: Definition, framework, features, potential applications, challenges, and future research topics.

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8,110 articles
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Top 100 (1.2%)
Open access
100 of 100
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2026-10-29

The top of the 2022 list is led by the metaverse in education, with 567 citations, followed by academic stress and mental well-being in college students, and the intention-behavior gap. Other highly cited work clusters around technology in teaching, eco-anxiety and climate-related distress, and social media or consumer behavior, including studies of TikTok use, online reviews, and social media marketing.

For readers, the ranking offers a snapshot of which 2022 articles in Frontiers in Psychology attracted the most citation attention, drawn from 8110 eligible articles and measured by OpenAlex counts. The titles and abstracts indicate the themes and questions that circulated most widely, while the ordering reflects citation activity rather than a judgment of quality or importance.

Introduction written from the titles and abstracts on this list. Every figure below is the source.

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  1. 1
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    The metaverse in education: Definition, framework, features, potential applications, challenges, and future research topics

    Xinli Zhang, Yuchen Chen, Lailin Hu, Youmei Wang

    567 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.1016300OpenAlex

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    The declaration of the COVID-19 pandemic forced humanity to rethink how we teach and learn. The metaverse, a 3D digital space mixed with the real world and the virtual world, has been heralded as a trend of future education with great potential. However, as an emerging item, rarely did the existing study discuss the metaverse from the perspective of education. In this paper, we first introduce the visions of the metaverse, including its origin, definitions, and shared features. Then, the metaverse in education is clearly defined, and a detailed framework of the metaverse in education is proposed, along with in-depth discussions of its features. In addition, four potential applications of the metaverse in education are described with reasons and cases: blended learning, language learning, competence-based education, and inclusive education. Moreover, challenges of the metaverse for educational purposes are also presented. Finally, a range of research topics related to the metaverse in education is proposed for future studies. We hope that, via this research paper, researchers with…

  2. 2
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    Academic Stress and Mental Well-Being in College Students: Correlations, Affected Groups, and COVID-19

    Georgia Barbayannis, Mahindra Bandari, Xiang Zheng, Humberto Baquerizo, Keith W. Pecor and 1 more

    562 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.886344OpenAlex

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    Academic stress may be the single most dominant stress factor that affects the mental well-being of college students. Some groups of students may experience more stress than others, and the coronavirus disease 19 (COVID-19) pandemic could further complicate the stress response. We surveyed 843 college students and evaluated whether academic stress levels affected their mental health, and if so, whether there were specific vulnerable groups by gender, race/ethnicity, year of study, and reaction to the pandemic. Using a combination of scores from the Perception of Academic Stress Scale (PAS) and the Short Warwick-Edinburgh Mental Well-Being Scale (SWEMWBS), we found a significant correlation between worse academic stress and poor mental well-being in all the students, who also reported an exacerbation of stress in response to the pandemic. In addition, SWEMWBS scores revealed the lowest mental health and highest academic stress in non-binary individuals, and the opposite trend was observed for both the measures in men. Furthermore, women and non-binary students reported higher…

  3. 3
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    Understanding the intention-behavior gap: The role of intention strength

    Mark T. Conner, Paul E Norman

    509 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.923464OpenAlex

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    This manuscript overviews recent research on the intention-behavior gap, focusing on moderators of the intention-behavior relationship. The manuscript draws on the concept of intention strength to make two important points. First, strong intentions provide better predictions of behavior, thereby reducing the intention-behavior gap. However, strong intentions have the additional features of being more stable over time, less pliable in the face of interventions to change them, and more likely to bias information processing about engaging in the behavior. These four features of intention strength are not independent. For example, stable intentions are likely to provide better predictions of behavior. Second, various predictors of strength (e.g., importance, certainty, extremity) may also constitute important, but little studied, moderators of the intention-behavior relationship. Moreover, the effects of these moderators of the intention-behavior relationship may be mediated through intention stability (and perhaps other features of intention strength). Future research on the…

  4. 4
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    Teachers’ Perceptions of Technology Integration in Teaching-Learning Practices: A Systematic Review

    Huma Akram, Abbas Hussein Abdelrady, Ahmad Samed Al‐Adwan, Muhammad Asif Ramzan

    358 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.920317OpenAlex

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    The rapid expansion of the Information and Communication Technologies (ICTs) has transformed learners into digital learners, requiring teachers to integrate technology into their pedagogical approaches, where teachers' attitudes, technological knowledge, and skills play a significant role in its effective integration. From this perspective, the current study presents teachers' perceptions regarding technology integration in their teaching-learning practices at all educational levels in light of the previous studies performed in the last 5 years in Pakistan. The findings reveal that teachers exhibit positive perceptions regarding technology integration in teaching-learning practices. They believe that technology-incorporated teaching assists them in enhancing their instructional practices effectively, making the learning process exciting and interactive, and keeping learners motivated. Regarding barriers, the slow speed of the internet, load shedding, lack of infrastructure, online teaching experience, and training were reported as the main obstacles that hinder teachers from…

  5. 5
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    Eco-anxiety in children: A scoping review of the mental health impacts of the awareness of climate change

    Terra Léger‐Goodes, Catherine Malboeuf‐Hurtubise, Trinity Mastine, Mélissa Généreux, Pier-Olivier Paradis and 1 more

    303 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.872544OpenAlex

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    Background: Youth are increasingly aware of the negative effects of climate change on the planet and human health, but this knowledge can often come with significant affective responses, such as psychological distress, anger, or despair. Experiencing major "negative" emotions, like worry, guilt, and hopelessness in anticipation of climate change has been identified with the term eco-anxiety. Emerging literature focuses on adults' experience; however, little is known about the ways in which children and youth experience eco-anxiety. Objectives: The aim of this review was to: (1) identify the available evidence on the topic of eco-anxiety in children, (2) clarify the mental health consequences brought by the awareness of climate change in this population, and (3) identify knowledge gaps in the literature and considerations for future research. Methods: Given that the research on the topic of eco-anxiety in children is limited, that there are very few randomized controlled trials, and that the goal is not to analyze individual studies in-depth, a scoping review was used. Keywords…

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    Eco-anxiety: What it is and why it matters

    Charlie Kurth, Panu Pihkala

    291 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.981814OpenAlex

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    Researchers are increasingly trying to understand both the emotions that we experience in response to ecological crises like climate change and the ways in which these emotions might be valuable for our (psychical, psychological, and moral) wellbeing. However, much of the existing work on these issues has been hampered by conceptual and methodological difficulties. As a first step toward addressing these challenges, this review focuses on eco-anxiety. Analyzing a broad range of studies through the use of methods from philosophy, emotion theory, and interdisciplinary environmental studies, the authors show how looking to work on anxiety in general can help researchers build better models of eco-anxiety in particular. The results of this work suggest that the label "eco-anxiety" may be best understood as referring to a family of distinct, but related, ecological emotions. The authors also find that a specific form of eco-anxiety, "practical eco-anxiety," can be a deeply valuable emotional response to threats like climate change: when experienced at the right time and to the right…

  7. 7
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    Phenomenological Qualitative Methods Applied to the Analysis of Cross-Cultural Experience in Novel Educational Social Contexts

    Ahmed Ali Alhazmi, Angelica Kaufmann

    291 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.785134OpenAlex

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    The qualitative method of phenomenology provides a theoretical tool for educational research as it allows researchers to engage in flexible activities that can describe and help to understand complex phenomena, such as various aspects of human social experience. This article explains how to apply the framework of phenomenological qualitative analysis to educational research. The discussion within this article is relevant to those researchers interested in doing cross-cultural qualitative research and in adapting phenomenological investigations to understand students' cross-cultural lived experiences in different social educational contexts.

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    “Autism research is in crisis”: A mixed method study of researcher’s constructions of autistic people and autism research

    Monique Botha, Eilidh Cage

    270 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.1050897OpenAlex

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    Autism researchers can be ableist, including by talking about autistic people in sub-human terms (dehumanisation), treating autistic people like objects (objectification), and making othering statements which set autistic people apart from non-autistic people, and below in status (stigmatisation). This mixed-method study aimed to investigate how autism researchers construct autistic people and autism research, and to investigate whether including autistic people more in research relates to lower ableism in narratives about autistic people. We used a survey with autism researchers (N =195) asking five open-ended questions about autism and autism research, as well as demographics, career length, contact with autistic people (familial and non-familial) and degree to which researchers involve autistic people in their research. We used content analysis to categorize narratives used by autism researchers and cues for ableism (dehumanization, objectification, and stigmatisation). We then used binary-logistic regression to identify whether narrative or higher inclusion of autistic people…

  9. 9
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    Unraveling Negative Expectations and Nocebo-Related Effects in Musculoskeletal Pain

    Giacomo Rossettini, Andrea Colombi, Elisa Carlino, Mattia Manoni, Mattia Mirandola and 3 more

    270 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.789377OpenAlex

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    This Perspective adapts the ViolEx Model, a framework validated in several clinical conditions, to better understand the role of expectations in the recovery and/or maintenance of musculoskeletal (MSK) pain. Here, particular attention is given to the condition in which dysfunctional expectations are maintained despite no longer being supported by confirmatory evidence (i.e., belief-lifting the arm leads to permanent tendon damage; evidence-after the patient lifts the arm no tendon damage occurs). While the ViolEx Model suggests that cognitive immunization strategies are responsible for the maintenance of dysfunctional expectations, we suggest that such phenomenon can also be understood from a Bayesian Brain perspective, according to which the level of precision of the priors (i.e., expectations) is the determinant factor accounting for the extent of priors' updating (i.e., we merge the two frameworks, suggesting that highly precise prior can lead to cognitive immunization responses). Importantly, this Perspective translates the theory behind these two frameworks into clinical…

  10. 10
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    Role of Social Media Marketing Activities in Influencing Customer Intentions: A Perspective of a New Emerging Era

    Khalid Jamil, Liu Dunnan, Rana Faizan Gul, Muhammad Usman Shehzad, Syed Hussain Mustafa Gillani and 1 more

    261 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2021.808525OpenAlex

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    The aim of this study is to explore social media marketing activities (SMMAs) and their impact on consumer intentions (continuance, participate, and purchase). This study also analyzes the mediating roles of social identification and satisfaction. The participants in this study were experienced users of two social media platforms Facebook and Instagram in Pakistan. A self-administered questionnaire was used to collect data from respondents. We used an online community to invite Facebook and Instagram users to complete the questionnaire in the designated online questionnaire system. Data were collected from 353 respondents, and structural equation modeling (SEM) was used to analyze the data. Results show that SMMAs have a significant impact on the intentions of users. Furthermore, social identification mediates the relationship between social media activities and satisfaction, and satisfaction mediates the relationship between social media activities and the intentions of users. This will help marketers how to attract customers to develop their intentions. This is the first novel…

  11. 11
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    The Impact of Online Reviews on Consumers’ Purchasing Decisions: Evidence From an Eye-Tracking Study

    Tao Chen, Premaratne Samaranayake, XiongYing Cen, Meng Qi, Yi-chen Lan

    243 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.865702OpenAlex

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    This study investigated the impact of online product reviews on consumers purchasing decisions by using eye-tracking. The research methodology involved (i) development of a conceptual framework of online product review and purchasing intention through the moderation role of gender and visual attention in comments, and (ii) empirical investigation into the region of interest (ROI) analysis of consumers fixation during the purchase decision process and behavioral analysis. The results showed that consumers' attention to negative comments was significantly greater than that to positive comments, especially for female consumers. Furthermore, the study identified a significant correlation between the visual browsing behavior of consumers and their purchase intention. It also found that consumers were not able to identify false comments. The current study provides a deep understanding of the underlying mechanism of how online reviews influence shopping behavior, reveals the effect of gender on this effect for the first time and explains it from the perspective of attentional bias, which…

  12. 12
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    The addiction behavior of short-form video app TikTok: The information quality and system quality perspective

    Yao Qin, Bahiyah Omar, Alessandro Musetti

    236 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.932805OpenAlex

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    TikTok has one of the most advanced algorithm systems and is the most addictive as compared to other social media platforms. While research on social media addiction is abundant, we know much less about how the TikTok information system environment affects users' internal states of enjoyment, concentration, and time distortion (which scholars define as the flow experience), which in turn influences their addiction behavior. To fill this gap, this study collects responses from 659 adolescents in China aged between 10 and 19 years old, and the data is then analyzed using Partial Least Square (PLS). We find that the system quality has a stronger influence than information quality in determining adolescents' experience with TikTok and that the flow experience has significant direct and indirect effects on TikTok addiction behavior. Notably, this study finds that TikTok addiction is determined by users' mental concentration on the medium and its content. Several theoretical insights from the stimulus-organism-response (S-O-R) model and the flow theory are used to explain the findings.

  13. 13
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    Lessons Learned and Future Directions of MetaTutor: Leveraging Multichannel Data to Scaffold Self-Regulated Learning With an Intelligent Tutoring System

    Roger Azevedo, François Bouchet, Melissa C. Duffy, Jason M. Harley, Roger Azevedo and 6 more

    230 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.813632OpenAlex

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    Self-regulated learning (SRL) is critical for learning across tasks, domains, and contexts. Despite its importance, research shows that not all learners are equally skilled at accurately and dynamically monitoring and regulating their self-regulatory processes. Therefore, learning technologies, such as intelligent tutoring systems (ITSs), have been designed to measure and foster SRL. This paper presents an overview of over 10 years of research on SRL with MetaTutor, a hypermedia-based ITS designed to scaffold college students' SRL while they learn about the human circulatory system. MetaTutor's architecture and instructional features are designed based on models of SRL, empirical evidence on human and computerized tutoring principles of multimedia learning, Artificial Intelligence (AI) in educational systems for metacognition and SRL, and research on SRL from our team and that of other researchers. We present MetaTutor followed by a synthesis of key research findings on the effectiveness of various versions of the system (e.g., adaptive scaffolding vs. no scaffolding of…

  14. 14
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    Metacognitive Strategies and Development of Critical Thinking in Higher Education

    Silvia F. Rivas, Carlos Saiz, Carlos Ossa Cornejo

    226 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.913219OpenAlex

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    More and more often, we hear that higher education should foment critical thinking. The new skills focus for university teaching grants a central role to critical thinking in new study plans; however, using these skills well requires a certain degree of conscientiousness and its regulation. Metacognition therefore plays a crucial role in developing critical thinking and consists of a person being aware of their own thinking processes in order to improve them for better knowledge acquisition. Critical thinking depends on these metacognitive mechanisms functioning well, being conscious of the processes, actions, and emotions in play, and thereby having the chance to understand what has not been done well and correcting it. Even when there is evidence of the relation between metacognitive processes and critical thinking, there are still few initiatives which seek to clarify which process determines which other one, or whether there is interdependence between both. What we present in this study is therefore an intervention proposal to develop critical thinking and meta knowledge skills.…

  15. 15
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    Human Mental Workload: A Survey and a Novel Inclusive Definition

    Luca Longo, Christopher D. Wickens, Gabriella M. Hancock, Peter A. Hancock

    221 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.883321OpenAlex

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    Human mental workload is arguably the most invoked multidimensional construct in Human Factors and Ergonomics, getting momentum also in Neuroscience and Neuroergonomics. Uncertainties exist in its characterization, motivating the design and development of computational models, thus recently and actively receiving support from the discipline of Computer Science. However, its role in human performance prediction is assured. This work is aimed at providing a synthesis of the current state of the art in human mental workload assessment through considerations, definitions, measurement techniques as well as applications, Findings suggest that, despite an increasing number of associated research works, a single, reliable and generally applicable framework for mental workload research does not yet appear fully established. One reason for this gap is the existence of a wide swath of operational definitions, built upon different theoretical assumptions which are rarely examined collectively. A second reason is that the three main classes of measures, which are self-report, task performance,…

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    Women’s Entrepreneurial Contribution to Family Income: Innovative Technologies Promote Females’ Entrepreneurship Amid COVID-19 Crisis

    Taoan Ge, Jaffar Abbas, Raza Ullah, Azhar Abbas, Iqra Sadiq and 1 more

    212 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.828040OpenAlex

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    Women entrepreneurs innovate, initiate, engage, and run business enterprises to contribute the domestic development. Women entrepreneurs think and start taking risks of operating enterprises and combine various factors involved in production to deal with the uncertain business environment. Entrepreneurship and technological innovation play a crucial role in developing the economy by creating job opportunities, improving skills, and executing new ideas. It has a significant impact on the income of the household. The study focused on investigating the role of women's entrepreneurship and innovation technologies in contributing to household income in the challenging situation of the pandemic COVID-19. The paper emphasized identifying the determinants of female entrepreneurial contribution toward household income. This study collected data from selected rural and urban areas of district Faisalabad through a self-administered questionnaire. Investigators interviewed female entrepreneurs and chose them through the snowball sampling technique from a population of purposively selected…

  17. 17
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    Generation Z Within the Workforce and in the Workplace: A Bibliometric Analysis

    María Dolores Benítez-Márquez, Eva María Sánchez-Teba, Guillermo José Bermúdez González, Emma Sofía Núñez-Rydman

    212 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2021.736820OpenAlex

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    This article aims to improve the knowledge on Generation Z as employees within workforce and in the workplace, as well as on the main thematic trends that drive the research on the topic. To this end, and using bibliometric techniques, a sample of 102 publications on this subject from Web of Science between 2009 and 2020 is analyzed. Research discusses the most published and most cited authors and journals to have a broad view of the context of the subject. Later, through a longitudinal view, the study mainly focuses on analyzing the evolution of thematic clusters, to assess the progress of the themes, as well as the network around the principal motor cluster of each period. The obtained results suggest a hardly developed topic, which started to draw attention in 2018, while still having a wide margin for growth. The core of research on the topic has evolved around "Generation-Z" "generations," "workplace," "management" and "attitudes," "leadership," "career," or "learning-teaching-education," although a low keyword stability among periods was noted. There is a need for further…

  18. 18
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    The Impact of Artificial Intelligence on Firm Performance: An Application of the Resource-Based View to e-Commerce Firms

    Donghua Chen, José Paulo Esperança, Shaofeng Wang

    197 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.884830OpenAlex

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    The application of artificial intelligence (AI) technology has evolved into an influential endeavor to improve firm performance, but little research considers the relationship among artificial intelligence capability (AIC), management (AIM), driven decision making (AIDDM), and firm performance. Based on the resource-based view (RBV) and existing findings, this paper constructs a higher-order model of AIC and suggests a research model of e-commerce firm AIC and firm performance. We collected 394 valid questionnaires and conducted data analysis using partial least squares structural equation modeling (PLS-SEM). As a second-order variable, AIC was formed by three first-order variables: basic, proclivity, and skills. AIC indirectly affects firm performance through creativity, AIM, and AI-driven decision making. Firm creativity, AIM, and AIDDM are essential variables between AIC and firm performance. Innovation culture (IC) positive moderates the relationship between firm creativity and AIDDM as well as the relationship between AIDDM and firm performance. Environmental dynamism (ED)…

  19. 19
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    The Impact of Cognitive Biases on Professionals’ Decision-Making: A Review of Four Occupational Areas

    Vincent Berthet

    191 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2021.802439OpenAlex

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    The author reviewed the research on the impact of cognitive biases on professionals' decision-making in four occupational areas (management, finance, medicine, and law). Two main findings emerged. First, the literature reviewed shows that a dozen of cognitive biases has an impact on professionals' decisions in these four areas, overconfidence being the most recurrent bias. Second, the level of evidence supporting the claim that cognitive biases impact professional decision-making differs across the areas covered. Research in finance relied primarily upon secondary data while research in medicine and law relied mainly upon primary data from vignette studies (both levels of evidence are found in management). Two research gaps are highlighted. The first one is a potential lack of ecological validity of the findings from vignette studies, which are numerous. The second is the neglect of individual differences in cognitive biases, which might lead to the false idea that all professionals are susceptible to biases, to the same extent. To address that issue, we suggest that reliable,…

  20. 20
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    Participative Leadership: A Literature Review and Prospects for Future Research

    Qiang Wang, Hong Hou, Zhibin Li

    188 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.924357OpenAlex

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    Changes in the external market environment put forward objective requirements for the formulation of organizational strategic plans, making it difficult for the organization's leaders to make the right and effective decisions quickly on their own. As a result, participative leadership, which encourages and supports employees to participate in the decision-making process of organizations, has received increasing attention in both theory and practice. We searched the literature related to participative leadership in databases such as Web of Science, EBSCO, ProQuest, and China National Knowledge Infrastructure (CNKI). Based on this, we clarify the concept of participative leadership, propose a definition of participative leadership, summarize measurement scales for this type of leadership, and compare participative leadership with other leadership styles (empowering leadership and directive leadership). We also present a research framework for participative leadership that demonstrates its antecedents; the mechanisms for its development based on social exchange theory, conservation of…

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    How does artificial intelligence empower EFL teaching and learning nowadays? A review on artificial intelligence in the EFL context

    Ruihong Jiang

    181 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.1049401OpenAlex

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    The booming Artificial Intelligence (AI) provides fertile ground for AI in education. So far, few reviews have been deployed to explore how AI empowers English as Foreign Language (EFL) teaching and learning. This study attempts to give a brief yet profound overview of AI in the EFL context by summarizing and delineating six dominant forms of AI application, including Automatic Evaluation Systems, Neural Machine Translation Tools, Intelligent Tutoring Systems (ITSs), AI Chatting Robots, Intelligent Virtual Environment, and Affective Computing (AC) in ITSs. The review furthermore uncovers a current paucity of research on applying AC in the EFL context and exploring pedagogical and ethical implications of AI in the EFL context. Ultimately, challenges from technical and teachers' perspectives, as well as future research directions, are illuminated, hopefully proffering new insights for the future study.

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    Do Access to Finance, Technical Know-How, and Financial Literacy Offer Women Empowerment Through Women’s Entrepreneurial Development?

    Anselme Andriamahery, Md. Qamruzzaman

    180 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2021.776844OpenAlex

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    The motivation of the study is to gauge the effects of access to finance, technical know-how, and financial literacy on women's empowerment through establishing women's entrepreneurial development. A sample of 950 women-owned SMEs was considered, and structured questionnaires were sent from getting target responses. After careful assessment through the data cleansing procedure, it was found that only 795 responses are suitable for further investigation, implying the sample response rate for the study is 74.71%. The study implemented structural equation modeling and multivariate regression analysis for gauging the causal association that is direct and indirect effects of target variables. According to findings, a positive statistically significant linkage was revealed with women's entrepreneurship sustainability and women empowerment. Furthermore, the mediating effects were also established for women's empowerment. According to the study findings, it is suggested that for women entrepreneurship sustainability, effective policies surrounding financing accessibility, technical…

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    A Meta-Analysis of Emotional Evidence for the Biophilia Hypothesis and Implications for Biophilic Design

    Jason S. Gaekwad, Anahita Sal Moslehian, Phillip B. Roös, Arlene Walker

    179 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.750245OpenAlex

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    The biophilia hypothesis posits an innate biological and genetic connection between human and nature, including an emotional dimension to this connection. Biophilic design builds on this hypothesis in an attempt to design human-nature connections into the built environment. This article builds on this theoretical framework through a meta-analysis of experimental studies on the emotional impacts of human exposure to natural and urban environments. A total of 49 studies were identified, with a combined sample size of 3,201 participants. The primary findings indicated that exposure to natural environments had a medium to large effect on both increasing positive affect and decreasing negative affect. This finding supported the anticipated emotional dimension of the biophilia hypothesis and lends credibility to biophilic design theory. Evidence was revealed in support of the affective/arousal response model. Immersion in environments indicated a larger effect size than laboratory simulation of environments. Methodological recommendations for future experimental research were few, however…

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    Work-Life Balance, Job Satisfaction, and Job Performance of SMEs Employees: The Moderating Role of Family-Supportive Supervisor Behaviors

    Perengki Susanto, Mohammad Enamul Hoque, Taslima Jannat, Bamy Emely, Mega Asri Zona and 1 more

    177 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.906876OpenAlex

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    Even though studies on work-life balance and family-supportive supervisor behaviors are prevalent, there are few studies in the SME setting, and the implications are yet unexplained. Thus, the study examines the effect of work-life balance on the performance of employees in SMEs, along with the mediating role of job satisfaction and the moderating role of family-supportive supervisor behaviors. We have developed a conceptually mediated-moderated model for the nexus of work-life balance and job performance. We collected data from SMEs and employed SEM-PLS to test the research hypothesis and model. Empirical results demonstrate that work-life balance positively influences job satisfaction and performance. Our empirical findings also revealed that job satisfaction partially mediates the relationship between work-life balance and job performance. We also found that when FSSB interacts with work-life balance and job satisfaction, it moderates the relationship between work-life balance and job performance and job satisfaction and job performance. Hence, our findings provide exciting and…

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    Psychedelic integration: An analysis of the concept and its practice

    Geoff J. Bathje, Eric Majeski, Mesphina Kudowor

    174 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.824077OpenAlex

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    The concept of integration has garnered increased attention in the past few years, despite a long history of only brief mention. Integration services are offered by therapists, coaches, and other practitioners, or may be self-guided. There are many definitions of psychedelic integration, and the term encompasses a range of practices and techniques. This seems to have led to confusion about what integration is and how it is best practiced. The primary focus of this manuscript is the presentation of the first extensive review and concept analysis of definitions, practices, and models of psychedelic integration. We provide a synthesized definition of integration, synthesized model of integration, and comprehensive summary of integration practices to bring clarity to the subject.

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    Exploring Factors of the Willingness to Accept AI-Assisted Learning Environments: An Empirical Investigation Based on the UTAUT Model and Perceived Risk Theory

    Wentao Wu, Ben Zhang, Shuting Li, Hehai Liu

    171 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.870777OpenAlex

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    Artificial intelligence (AI) technology has been widely applied in many fields. AI-assisted learning environments have been implemented in classrooms to facilitate the innovation of pedagogical models. However, college students' willingness to accept (WTA) AI-assisted learning environments has been ignored. Exploring the factors that influence college students' willingness to use AI can promote AI technology application in higher education. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and the theory of perceived risk, this study identified six factors that influence students' willingness to use AI to analyze their relationships with WTA AI-assisted learning environments. A model including six hypotheses was constructed to test the factors affecting students' WTA. The results indicated that college students showed "weak rejection" of the construction of AI-assisted learning environments. Effort expectancy (EE), performance expectancy (PE), and social influence (SI) were all positively related to college students' WTA AI-assisted learning environments.…

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    Psychedelic-Assisted Psychotherapy—A Systematic Review of Associated Psychological Interventions

    Mauro Cavarra, Alessandra Falzone, Johannes Gerardus Ramaekers, Kim P. C. Kuypers, Carmela Mento

    171 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.887255OpenAlex

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    Modern clinical research on psychedelics is generating interesting outcomes in a wide array of clinical conditions when psychedelic-assisted psychotherapy is delivered to appropriately screened participants and in controlled settings. Still, a number of patients relapse or are less responsive to such treatments. Individual and contextual factors (i.e., set and setting) seem to play a role in shaping the psychedelic experience and in determining clinical outcomes. These findings, coupled with data from literature on the effectiveness of psychotherapy, frame the therapeutic context as a potential moderator of clinical efficacy, highlighting the need to investigate how to functionally employ environmental and relational factors. In this review, we performed a structured search through two databases (i.e., PubMed/Medline and Scopus) to identify records of clinical studies on psychedelics which used and described a structured associated psychotherapeutic intervention. The aim is to construct a picture of what models of psychedelic-assisted psychotherapy are currently adopted in clinical…

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    Entrepreneurship Education and Entrepreneurial Intentions of College Students: The Mediating Role of Entrepreneurial Self-Efficacy and the Moderating Role of Entrepreneurial Competition Experience

    Lihao Wu, Suo Jiang, Xiaomin Wang, Linwei Yu, Yansu Wang and 1 more

    170 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2021.727826OpenAlex

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    This study aims to explore effective ways to improve college students' entrepreneurial self-efficacy and intentions through entrepreneurship education. The survey used a random sample of 804 college students in Zhejiang Province, China. The results show that: (1) In terms of the characteristics of entrepreneurial intention, there are significant differences in gender, entrepreneurial experience, entrepreneurial competition experience, and family background of self-employment. (2) There are significant differences in the characteristics of entrepreneurship education in gender, entrepreneurial competition experience, and the family background of self-employment. (3) In the relationship among entrepreneurship education, entrepreneurial self-efficacy, and entrepreneurial intention, entrepreneurship education is significantly and positively related to entrepreneurial self-efficacy and entrepreneurial intention. Entrepreneurial self-efficacy is significantly and positively associated with entrepreneurial intention. Entrepreneurial self-efficacy plays a complete mediating role between…

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    PERMA+4: A Framework for Work-Related Wellbeing, Performance and Positive Organizational Psychology 2.0

    Stewart I. Donaldson, Llewellyn Ellardus van Zyl, Scott I. Donaldson

    169 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2021.817244OpenAlex

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    A growing body of empirical evidence suggests that positive emotions, engagement, relationships, meaning, and accomplishments (PERMA) may be a robust framework for the measurement, management and development of wellbeing. While the original PERMA framework made great headway in the past decade, its empirical and theoretical limitations were recently identified and critiqued. In response, Seligman clarified the value of PERMA as a framework for and not a theory of wellbeing and called for further research to expand the construct. To expand the framework into organizational contexts, recent meta-analyses and systematic literature reviews showed that physical health, mindset, physical work environments and economic security could be seen as essential contextually relevant building blocks for work-related wellbeing and are therefore prime candidates to expand the PERMA framework for use within organizational contexts. Through expanding the original PERMA framework with these four factors, a new holistic approach to work-related wellbeing and work performance was born: the PERMA+4. As…

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    Fostering Students’ Well-Being: The Mediating Role of Teacher Interpersonal Behavior and Student-Teacher Relationships

    Zheng Fang

    168 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2021.796728OpenAlex

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    Well-being has become extensively viewed as apprehension for administrations in the last decades and schools have been progressively realized as locations for encouraging well-being which is a considerable development in inquiries on mediations connected to learner well-being. In this way, the function of teachers has got specific consideration regarding students' well-being, given the merits of teacher-student interactions. High-quality educator-learner relationships offer a support base for long-term learners' education. Educator interpersonal behavior that makes learners feel supported and cared for is known as emotional support. These behaviors can help learners' emotional and social needs; meet learners' families, and being available when learners need additional help. This review attempts to consider the eminence of teacher interpersonal behavior and learner-teacher relations in the classroom and indeed illustrate their relationship and influence on students' well-being. As a final point, this review can provide suggestions and recommendations for teaching participants in the…

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    Sustainable leadership: A literature review and prospects for future research

    Yaohua Liao

    165 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.1045570OpenAlex

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    The various social issues that accompany economic development pose new challenges for leaders to integrate economic benefits, social responsibility, and environmental protection. In this context, various new leadership styles have emerged. Among them, sustainable leadership reveals the key role of leaders in balancing the triple goals of economy, society and environment, and has become an important part of leadership theory research in recent years. We searched the literature related to sustainable leadership in databases such as Web of Science, EBSCO and CNKI. Based on the existing literature, we systematically review the origins, connotations, analytical perspectives, measurement methods, and conceptual comparisons of sustainable leadership. And we also construct an integrated analytical framework of sustainable leadership on the premise of sorting out and summarizing the antecedents and consequences of sustainable leadership. Finally, we provide an outlook on the future research areas of sustainable leadership in order to further promote research of sustainable leadership.

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    Positioning an Agenda on a Loving Pedagogy in Second Language Acquisition: Conceptualization, Practice, and Research

    Yongliang Wang, Ali Derakhshan, Ziwen Pan

    163 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.894190OpenAlex

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    Second/foreign language teaching has been found as one of the most emotional professions worldwide. To generate optimal academic outcomes and run an effective education, teachers and students' emotions and feelings must be positively cared for. Given the significance of emotions in L2 education, many studies have followed positive psychology (PP) and examined various positive constructs. Nevertheless, love, as a PP variable, has been ignored in education due to its cultural/religious sensitivities. Trying to dispel the myths, recently, a new trend called a "loving pedagogy" has started to find itself a place in second language acquisition (SLA) research and practice. Yet, proposing a model of its application and an agenda for its research has been overlooked by scholars in this domain. Motivated by this lacuna, this research article provided the conceptualization, definitions, research bases, practical models, and implications of a loving pedagogy for SLA practitioners and future researchers.

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    Social Media Application as a New Paradigm for Business Communication: The Role of COVID-19 Knowledge, Social Distancing, and Preventive Attitudes

    Songbo Yu, Jaffar Abbas, Anca Drăghici, Oriana Helena NEGULESCU, Noor ul Ain

    162 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.903082OpenAlex

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    Business firms and the public have encountered massive consequences of the COVID-19 pandemic. This pandemic has become the most significant challenge and influenced all communities. This research study focuses on exploring the relationship between COVID-19 knowledge, social distancing, individuals' attitudes toward social media use, and practices of using social media amid the COVID-19 crisis. This study examines how attitudes toward social media use mediate the linkage between COVID-19 knowledge, social distancing, and practices for social media use. This survey uses a non-probability convenience sampling approach to collect samples and recruit willing respondents with their consent for data collection. This study recorded the feedback from 348 participants who encountered the indirect/direct effects of nationwide lockdowns, restrictions on social gatherings, and COVID-19 infection. The findings validate the proposed hypotheses for their direct effects and indicate significant β-values, t-statistics, and the p-values at p <0.001. The results validate a relationship between the…

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    Green technology innovation and carbon emissions nexus in China: Does industrial structure upgrading matter?

    Pengfei Gao, Yadong Wang, Yi Zou, Xufeng Su, Xinghui Che and 1 more

    156 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.951172OpenAlex

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    Compared with traditional technological innovation modes, green technology innovation is more targeted for low carbon development and critical support for countries worldwide to combat climate change. The impact of green technology innovation on carbon emissions is considered in terms of fixed effect and mediating effect models through industrial structure upgrading. For this purpose, the sample dataset of 30 provincial administrative areas in China from 2008 to 2020 is employed. The results demonstrate that green technology innovation exerts significantly inhibitory effects on carbon emissions, whose conclusion still holds after removing municipalities and replacing the dependent variable. Industrial structure upgrading is vital for green technology innovation to diminish carbon emissions. There is significant regional heterogeneity in the effects of green technology innovation on carbon emissions, i.e., the direct and indirect impact of green technology innovation on carbon emission reduction is significant in the eastern-central area, but its effect is insignificant in the…

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    An Evidence-Informed Framework to Promote Mental Wellbeing in Elite Sport

    Rosemary Purcell, Vita Pilkington, Sandra Carberry, David Reid, Kate Gwyther and 5 more

    156 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.780359OpenAlex

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    Elite athletes, coaches and high-performance staff are exposed to a range of stressors that have been shown to increase their susceptibility to experiencing mental ill-health. Despite this, athletes may be less inclined than the general population to seek support for their mental health due to stigma, perceptions of limited psychological safety within sport to disclose mental health difficulties (e.g., selection concerns) and/or fears of help-seeking signifying weakness in the context of high performance sport. Guidance on the best ways to promote mental health within sporting environments is increasing, though current frameworks and position statements require greater focus on a whole of system approach, in which the needs of athlete, coaches and high-performance staff are considered within the context of the broader ecological system in which they operate and perform. This paper synthesizes existing research, reviewed for translatability by mental health professionals working in elite sport, to provide an evidence-informed framework with real world utility to promote mentally…

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    Digital leadership and exploratory innovation: From the dual perspectives of strategic orientation and organizational culture

    Tiandong Wang, Xiaoyue Lin, Fan Sheng

    153 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.902693OpenAlex

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    The literature on leadership is increasingly supporting the power of digital leadership in promoting corporate innovation. In spite of this, digital leadership is a noticeable omission from the literature. As such, in this study, we developed a model based on a resource-based view and social information processing theory to examine the roles of digital entrepreneurial orientation and digital organizational culture in the relationship between digital leadership and exploratory innovation. We examined the moderating role of big data analytics capabilities according to a resource-based view and dynamic capability theory. Using a time-lagged survey data of 401 followers and 88 leaders, the results show that (a) digital leadership has a positive impact on exploratory innovation; (b) digital entrepreneurial orientation and digital organizational culture mediate the positive relationship between digital leadership and exploratory innovation; and (c) and mediating effect is positive moderated by big data analytics capabilities. Thus, in this study we are not only responding to the call to…

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    Dynamic Capabilities and an ESG Strategy for Sustainable Management Performance

    Yi Liang, Min‐Jae Lee, Jin-Sup Jung

    151 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.887776OpenAlex

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    This research explores the dynamic capabilities required for firms to implement environmental, social, and governance (ESG) strategies, and investigates sustainable management performance that can be created based on them. By using dynamic capabilities theory, we integrate sustainable management and the ESG literature to suggest a research model and identify the factors that act as the catalysts achieving sustainability. The data used for the analysis were collected from 78 firms listed on the Korea Exchange (KRX) with assets totaling more than 2 trillion Korean won. In this study, the partial least squares structural equation model (PLS-SEM) is applied. We found that absorptive capability and adaptive capability significantly affect sustainable management performance through implementation of the ESG strategy as a mediating variable. In particular, a firm's implementation of an ESG strategy is a significant determinant that impacts sustainable management performance. We also believe our model contributes to the current knowledge by filling several research gaps, and our findings…

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    Correcting the Bias Correction for the Bootstrap Confidence Interval in Mediation Analysis

    Tristan D. Tibbe, Amanda Kay Montoya

    150 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.810258OpenAlex

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    The bias-corrected bootstrap confidence interval (BCBCI) was once the method of choice for conducting inference on the indirect effect in mediation analysis due to its high power in small samples, but now it is criticized by methodologists for its inflated type I error rates. In its place, the percentile bootstrap confidence interval (PBCI), which does not adjust for bias, is currently the recommended inferential method for indirect effects. This study proposes two alternative bias-corrected bootstrap methods for creating confidence intervals around the indirect effect: one originally used by Stine (1989) with the correlation coefficient, and a novel method that implements a reduced version of the BCBCI's bias correction. Using a Monte Carlo simulation, these methods were compared to the BCBCI, PBCI, and Chen and Fritz (2021)'s 30% Winsorized BCBCI. The results showed that the methods perform on a continuum, where the BCBCI has the best balance (i.e., having closest to an equal proportion of CIs falling above and below the true effect), highest power, and highest type I error rate;…

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    The effects of tourism e-commerce live streaming features on consumer purchase intention: The mediating roles of flow experience and trust

    Xiaoli Liu, Lei Zhang, Qian Chen

    149 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.995129OpenAlex

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    Given that tourism e-commerce live streaming has become an important driver of tourism development after the outbreak of Covid-19 but limited attention has been paid to this area, this study examines the impacts of tourism e-commerce live streaming features (interactivity, authenticity, and entertainment) on the consumers' purchase intention from the perspectives of consumers' flow experience and trust based on the SOR theory. The authors collected survey data from 357 tourism e-commerce live streaming consumers and used the structural equation model to test the research model. The results reveal that interactivity and authenticity positively affect tourism e-commerce live streaming consumers' purchase intention, but entertainment does not influence purchase intention positively; interactivity, authenticity, and entertainment each positively affects tourism e-commerce live streaming consumers' flow experience and trust; both flow experience and trust positively affect tourism e-commerce live streaming consumers' purchase intention; both flow experience and trust have mediating…

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    Application and extension of the UTAUT2 model for determining behavioral intention factors in use of the artificial intelligence virtual assistants

    María García de Blanes Sebastián, José Ramón Sarmiento Guede, Arta Antonovica

    148 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.993935OpenAlex

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    Virtual Assistants, also known as conversational artificial intelligence, are transforming the reality around us. These virtual assistants have challenged our daily lives by assisting us in the different dimensions of our lives, such as health, entertainment, home, and education, among others. The main purpose of this study is to develop and empirically test a model to predict factors that affect users' behavioral intentions when they use intelligent virtual assistants. As a theoretical basis for investigating behavioral intention of using virtual assistants from the consumers' perspective, researchers employed the extended Unified Theory of Acceptance and Use of Technology (UTAUT2). For this research paper, seven variables were analyzed: performance expectancy, effort expectancy, facilitating conditions, social influence, hedonic motivation, habit, and price/value. In order to improve consumer behavior prediction, three additional factors were included in the study: perceived privacy risk, trust, and personal innovativeness. Researchers carried out an online survey with 304…

  41. 41
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    Impact of Green HRM Practices on Environmental Performance: The Mediating Role of Green Innovation

    Yen‐Ku Kuo, Tariq Iqbal Khan, Shuja Ul Islam, Fakhrul Zaman Abdullah, Mahir Pradana and 1 more

    147 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.916723OpenAlex

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    Numerous organizations have faced substantial environmental performance challenges resulting from more than a half-century of worldwide industrialization. Grounded in social learning theory and recourse-based view theory, this study explores environmental performance and its impact on employees and industry outcomes. Drawing on a cross-sectional online survey of 500 full-time employees working in the chemical industry in Lahore, Pakistan. The results revealed a significant positive influence of Green HRM practices on employees' Green innovation as well as on environmental performance. Additionally, significant influences of study variables were recorded on outcomes such as green compensation and reward, green performance management and appraisal, green training and development, and green recruitment and selection. Several key policy insights related to consumer resistance to innovation in low income societies and future research directions are suggested, along with theoretical and practical implications.

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    The Impact of Transformational Leadership on Affective Organizational Commitment and Job Performance: The Mediating Role of Employee Engagement

    Wang Jiatong, Zheng Wang, Mehboob Alam, Majid Murad, Fozia Gul and 1 more

    147 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.831060OpenAlex

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    This study investigated the impact of transformational leadership on affective organizational commitment and job performance with the mediating role of employee engagement. This study gathered data from 845 hotel employees in China and the structural equation modeling technique was used to verify the results. The findings indicated that transformational leadership has a positive effect on affective organizational commitment and job performance. Meanwhile, results showed that employee engagement partially mediates in the relationship between transformational leadership, affective organizational commitment, and job performance. This study contributes to the research on transformational leadership in the Chinese hospitality sector and analyzes its effects on work performance metrics. Furthermore, theoretical and practical implications were also discussed in this article.

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    Metaverse-Powered Experiential Situational English-Teaching Design: An Emotion-Based Analysis Method

    Hongyu Guo, Wurong Gao

    146 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.859159OpenAlex

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    Metaverse is to build a virtual world that is both mapped and independent of the real world in cyberspace by using the improvement in the maturity of various digital technologies, such as virtual reality (VR), augmented reality (AR), big data, and 5G, which is important for the future development of a wide variety of professions, including education. The metaverse represents the latest stage of the development of visual immersion technology. Its essence is an online digital space parallel to the real world, which is becoming a practical field for the innovation and development of human society. The most prominent advantage of the English-teaching metaverse is that it can provide an immersive and interactive teaching field for teachers and students, simultaneously meeting the teaching and learning needs of teachers and students in both the physical world and virtual world. This study constructs experiential situational English-teaching scenario and convolutional neural networks (CNNs)-recurrent neural networks (RNNs) fusion models are proposed to recognize students' emotion…

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    The Importance of Social Support, Optimism and Resilience on the Quality of Life of Cancer Patients

    Iván Ruiz-Rodríguez, Isabel Hombrados‐Mendieta, Anabel Melguizo-Garín, María José Martos-Méndez

    146 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.833176OpenAlex

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    Introduction: The aim of the present study is to carry out a multidimensional analysis on the relation between satisfaction with social support received, resilience and optimism in cancer patients and their quality of life. Materials and Methods: Data were gathered through questionnaires fulfilled by 142 cancer patients. Data relate to sociodemographic, health, quality of life, social support, resilience and optimism. Results: Satisfaction with the sources and types of support, resilience and optimism relates positively with quality of life. Predictive models show that informational support from friends is the variable that most increases patients' general health, while emotional support from the partner is the one that best improves how patients cope with the disease. In the same line, emotional support from the partner, together with informational support from family are the ones that most contribute to reduce patients' symptoms. Resilience improves general health and functioning, and reduces symptoms. Patients' optimism and resilience also reduce symptoms. Gender differences were…

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    Service Quality and Customer Satisfaction in the Post Pandemic World: A Study of Saudi Auto Care Industry

    Sotirios Zygiaris, Zahid Hameed, Mubarak Ayidh Alsubaie, Shafiq Ur Rehman

    141 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.842141OpenAlex

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    The aim of this research is to examine the impact of service quality on customer satisfaction in the post pandemic world in auto care industry. The car care vendor in the study made effective use of social media to provide responsive updates to the customers in the post pandemic world; such use of social media provides bases for service quality and customer satisfaction. The study examined the relationship between service quality and customer satisfaction using the SERVQUAL framework. According to the findings, empathy, reliability, assurance, responsiveness, and tangibles have a significant positive relationship with customer satisfaction. Our findings suggest that it is critical for workshops to recognize the service quality factors that contribute to customer satisfaction. Findings also suggest that empathy, assurance, reliability, responsiveness, and tangibles contribute to customer satisfaction. Auto repair industry must regularly provide personal attention, greet customers in a friendly manner, deliver cars after services, notify customers when additional repairs are required,…

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    An Extended Model of the Theory of Planned Behavior: An Empirical Study of Entrepreneurial Intention and Entrepreneurial Behavior in College Students

    Duan Lihua

    141 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.627818OpenAlex

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    Currently, there are two bottleneck problems in the research of college students' entrepreneurial intention and entrepreneurial behavior: lack of comprehensive and systematic theoretical framework and empirical analysis to reveal the role path that affects entrepreneurial intention, and most studies ignore the gap between entrepreneurial intention and behavior. Based on the literature review, this study adopted the Theory of Planned Behavior as the theoretical framework introduced entrepreneurial situational factors and entrepreneurial implementation intention, and constructed a two-step extended entrepreneurial intention-behavior model. The structural equation was constructed using AMOS24.0 to empirically analyze the antecedent variables of college students' entrepreneurial intention and the factors influencing entrepreneurial behavior. The empirical results showed that expected material possessions, expected social reputation, expected self-evaluation, mission and responsibility, and career development are the antecedent variables of entrepreneurial attitude. Support from families…

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    From Cultural Tourism to Social Entrepreneurship: Role of Social Value Creation for Environmental Sustainability

    Xiaofeng Li, Jaffar Abbas, Wang Dongling, Noor Ul Ain Baig, Ruilian Zhang

    139 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.925768OpenAlex

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    Cross-cultural exchanges among the locals and the tourists have been beneficial in terms of social value creation and sustainability. The present study has examined the role of cultural tourism and social entrepreneurship on social value creation and environmental sustainability. The study has drawn a sample through a non-probabilistic convenience sampling method for desired data collection, as investigators approached tourists visiting the tourism destinations. The study reports data received with the help of tourists visiting cultural heritage in the Gilgit-Baltistan region of Pakistan. The study has employed the PLS_SEM approach for analysis purposes to draw the results. The findings showed a significant relationship between cultural tourism, environmental sustainability, and social value creation that significantly predicts environmental sustainability. The results revealed a significant positive association between social entrepreneurship, social value creation, and environmental sustainability. Besides, results showed that social value creation mediates the relationship…

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    Strengthening the Bridge Between Academic and the Industry Through the Academia-Industry Collaboration Plan Design Model

    Farah Ahmed, Muhammad Tahir, Syed Rizwan Ali, Rabia Noor Enam

    139 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.875940OpenAlex

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    The study has been undertaken to integrate two different aspects of the triple helix model: universities and the industry. Special attention has been paid to the prevailing difference between the two, hampering their working as a coherent unit. Integrating the existing knowledge in the study, we proposed the Academia-Industry Collaboration Plan (AICP) design model. The model comprises processes, methods or approaches, and tools. Processes serve as a road map to third parties for establishing collaboration between academia and the industry. It has all the essential process models and a series of steps that help minimize the organizational complexity of the collaboration process between academia and the industry. Methods or approaches serve the purpose of implementing those processes effectively. Finally, appropriate tools are selected to integrate possible collaboration improvements that lead to innovation.

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    Tourists’ Health Risk Threats Amid COVID-19 Era: Role of Technology Innovation, Transformation, and Recovery Implications for Sustainable Tourism

    Zhenhuan Li, Dake Wang, Jaffar Abbas, Saad S. M. Hassan, Riaqa Mubeen

    139 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2021.769175OpenAlex

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    Technology innovation has changed the patterns with its advanced features for travel and tourism industry during the outbreak of COVID-19 pandemic, which massively hit tourism and travel worldwide. The profound adverse effects of the coronavirus disease resulted in a steep decline in the demand for travel and tourism activities worldwide. This study focused on the literature based on travel and tourism in the wake global crisis due to infectious virus. The study aims to review the emerging literature critically to help researchers better understand the situation. It valorizes transformational affordance, tourism, and travel industries impacts posed by the virus COVID-19. The study proposed a research model on reviving the international tourism activities post COVID-19 pandemic to gain sustainable development and recovery. The scholars have debated seeking the best possible ways to predict a sustainable recovery of travel, tourism, and leisure sectors from the devastating consequences of coronavirus COVID-19. In the first phase, the study describes how the current pandemic can become…

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    A practical introduction to using the drift diffusion model of decision-making in cognitive psychology, neuroscience, and health sciences

    Catherine E. Myers, Alejandro Interian, Ahmed A. Moustafa

    138 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.1039172OpenAlex

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    Recent years have seen a rapid increase in the number of studies using evidence-accumulation models (such as the drift diffusion model, DDM) in the fields of psychology and neuroscience. These models go beyond observed behavior to extract descriptions of latent cognitive processes that have been linked to different brain substrates. Accordingly, it is important for psychology and neuroscience researchers to be able to understand published findings based on these models. However, many articles using (and explaining) these models assume that the reader already has a fairly deep understanding of (and interest in) the computational and mathematical underpinnings, which may limit many readers' ability to understand the results and appreciate the implications. The goal of this article is therefore to provide a practical introduction to the DDM and its application to behavioral data - without requiring a deep background in mathematics or computational modeling. The article discusses the basic ideas underpinning the DDM, and explains the way that DDM results are normally presented and…

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    English as a foreign language teachers’ professional success in the Chinese context: The effects of well-being and emotion regulation

    Fan Jian, Yongliang Wang

    138 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.952503OpenAlex

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    Given the significance of teachers' professional success in the adequacy of education, exploring the determinants of this variable appears crucial. To address this need, this inquiry inspected the role of well-being and emotion regulation in Chinese EFL teachers' professional success. For this purpose, 357 Chinese EFL teachers were selected to answer three pre-designed questionnaires. Structural equation modeling (SEM) using Smart-PLS was implemented to analyze teacher participants' responses. The structural model revealed a strong, favorable connection between well-being, emotion regulation, and professional success. The model also demonstrated that both well-being and emotion regulation were highly influential in Chinese EFL teachers' professional success. The potential implications for EFL teachers, teacher educators, and educational authorities are further discussed.

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    Prevalence of Workplace Violence Against Healthcare Workers During the COVID-19 Pandemic: A Systematic Review and Meta-Analysis

    Zhian Salah Ramzi, Proosha Warzer Fatah, Asghar Dalvandi

    138 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.896156OpenAlex

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    Background: A large number of anxious and concerned people refer to health centers during the COVID-19 pandemic, increasing the workload of healthcare workers (HCWs) and violence against these professionals. The present study aimed to estimate the prevalence of workplace violence (WPV) against HCWs during the COVID-19 pandemic. Methods: This systematic review and meta-analysis was conducted via searching in databases such as Scopus, PubMed, and Web of Science, and observational articles reporting the prevalence of WPV against HCWs were selected. Heterogeneity between the studies was assessed using Cochran's Q test. A random-effects model was used to estimate the prevalence of WPV. Data analysis was performed in the Stata software version 16. Results: In the initial search, 680 articles were identified and screened based on the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) steps. In total, 17 studies with a sample size of 17,207 HCWs were analyzed. The total prevalence of violence was estimated at 47% (95% CI: 34-61%). In addition, the prevalence of…

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    A Scoping Review of Flow Research

    Corinna Peifer, Gina Wolters, László Harmat, Jean Heutte, Jasmine S. Tan and 9 more

    137 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.815665OpenAlex

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    Flow is a gratifying state of deep involvement and absorption that individuals report when facing a challenging activity and they perceive adequate abilities to cope with it (EFRN, 2014). The flow concept was introduced by Csikszentmihalyi in 1975, and interest in flow research is growing. However, to our best knowledge, no scoping review exists that takes a systematic look at studies on flow which were published between the years 2000 and 2016. Overall, 252 studies have been included in this review. Our review (1) provides a framework to cluster flow research, (2) gives a systematic overview about existing studies and their findings, and (3) provides an overview about implications for future research. The provided framework consists of three levels of flow research. In the first "Individual" level are the categories for personality, motivation, physiology, emotion, cognition, and behavior. The second "Contextual" level contains the categories for contextual and interindividual factors and the third "Cultural" level contains cultural factors that relate to flow. Using our framework,…

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    Influence of Streamer's Social Capital on Purchase Intention in Live Streaming E-Commerce

    Xu Ping, Bang-jun Cui, Bei Lyu

    137 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2021.748172OpenAlex

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    The virtual display of products in e-commerce brings new problems of information asymmetry, and the overload of digital information also increases the difficulty of consumers' purchasing decisions. The real-time interaction between the streamer and the consumer during live streaming e-commerce will promote consumers' understanding of the product, reduce information asymmetry, and increase consumers' purchase intention. However, why do people trust the untouchable and unfamiliar streamers from live streaming e-commerce to purchase online? To understand this phenomenon, based on the perspective of the information asymmetry theory and parasocial relationship theory, this research identified how social capital affected purchase intention in live streaming e-commerce. Through a questionnaire survey of live viewers, the purchase intention model constructed by empirical testing was used. The findings showed that the streamer's professionalism, the reciprocal expectation of live streaming, and the viewer's parasocial relationship could effectively increase the viewer's purchase intention.…

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    Positive psychology in the working environment. Job demands-resources theory, work engagement and burnout: A systematic literature review

    Michael D. Galanakis, Elli Tsitouri

    136 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.1022102OpenAlex

    Show abstract

    The purpose of the present systematic review is to examine the Job Demands-Resources (JD-R) model in order to pinpoint how applicable and relevant is the present theoretical framework in the 21st Century workplace environment. Initially, there will be an examination of the key concepts of the theory, followed by a brief investigation of the empirical validity and importance of the theory in the workplace environment. Then, there will be an empirical investigation of various studies of both cross-sectional and longitudinal nature in the form of a methodology, offering substantial empirical evidence that attests to the validity and effectiveness of the JD-R model in predicting work engagement and burnout-two independent and contrasting states of employee wellbeing, covering the entire spectrum from employee wellness to employee ill-health. We hope this review contributes to the advancement of the JD-R model, aiding researchers and practitioners to obtain a better understanding of the current state of the JD-R model, whilst also offering avenues for future development of the theory,…

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    Integrating artificial intelligence into a talent management model to increase the work engagement and performance of enterprises

    Maja Rožman, Dijana Oreški, Polona Tominc

    133 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.1014434OpenAlex

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    The purpose of the paper is to create a multidimensional talent management model with embedded aspects of artificial intelligence in the human resource processes to increase employees' engagement and performance of the enterprise. The research was implemented on a sample of 317 managers/owners in Slovenian enterprises. Multidimensional constructs of the model include several aspects of artificial intelligence implementation in the organization's activities related to human resource management in the field of talent management, especially in the process of acquiring and retaining talented employees, appropriate training and development of employees, organizational culture, leadership, and reducing the workload of employees, employee engagement and performance of the enterprise. The results show that AI supported acquiring and retaining a talented employees, AI supported appropriate training and development of employees, appropriate teams, AI supported organizational culture, AI supported leadership, reducing the workload of employees with AI have a positive effect on performance of…

  57. 57
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    Cognitive Resilience to Psychological Stress in Military Personnel

    Andrew P. Flood, Richard James Keegan

    133 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.809003OpenAlex

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    Military personnel often perform complex cognitive operations under unique conditions of intense stress. This requirement to perform diverse physical and mental tasks under stress, often with high stakes, has led to recognition of the term 'tactical athlete' for these performers. Impaired cognitive performance as a result of this stress may have serious implications for the success of military operations and the well-being of military service men and women, particularly in combat scenarios. Therefore, understanding the nature of the stress experienced by military personnel and the resilience of cognitive functioning to this stress is of great importance. This review synthesises the current state of the literature regarding cognitive resilience to psychological stress in tactical athletes. The experience of psychological stress in military personnel is considered through the lens of the Transactional Theory of stress, while offering contemporary updates and new insights. Models of the effects of stress on cognitive performance are then reviewed to highlight the complexity of this…

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    The Effects of Chatbot Service Recovery With Emotion Words on Customer Satisfaction, Repurchase Intention, and Positive Word-Of-Mouth

    Jeewoo Yun, Jungkun Park

    130 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.922503OpenAlex

    Show abstract

    This study sought to examine the effect of the quality of chatbot services on customer satisfaction, repurchase intention, and positive word-of-mouth by comparing two groups, namely chatbots with and without emotion words. An online survey was conducted for 2 weeks in May 2021. A total of 380 responses were collected and analyzed using structural equation modeling to test the hypothesis. The theoretical basis of the study was the SERVQUAL theory, which is widely used in measuring and managing service quality in various industries. The results showed that the assurance and reliability of chatbots positively impact customer satisfaction for both groups. However, empathy and interactivity positively affect customer satisfaction only for chatbots with emotion words. Responsiveness did not have an impact on customer satisfaction for both groups. Customer satisfaction positively impacts repurchase intention and positive word-of-mouth for both groups. The findings of this study can serve as a priori research to empirically prove the effectiveness of chatbots with emotion words.

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    Antecedents of Viewers’ Live Streaming Watching: A Perspective of Social Presence Theory

    Jiada Chen, Junyun Liao

    125 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.839629OpenAlex

    Show abstract

    Live streaming commerce as a popular marketing method has attracted wide attention, but little is known about why consumers continue to watch live streaming. To fill this research gap, this study draws on social presence theory to examine the impact of sense of community, emotional support, and interactivity on viewers' social presence, which, in turn, influences their live streaming watching. Furthermore, the moderating role of streamer attractiveness is also investigated. The authors collected survey data from 386 live streaming viewers and used the structural equation model to test the research model. The results reveal that sense of community, interactivity, and emotional support positively affects viewers' social presence, leading to viewers' watching live streaming. Furthermore, streamer attractiveness plays a significant moderating role between social presence and live streaming watching. This study provides a unified theoretical framework to explain the intention to watch live streaming based on social presence theory.

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    The association between peer relationship and learning engagement among adolescents: The chain mediating roles of self-efficacy and academic resilience

    Yanhong Shao, Shumin Kang

    124 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.938756OpenAlex

    Show abstract

    Previous studies have shown that peer relationship affects learning engagement. And learning engagement plays a vital role in promoting knowledge acquisition and production, enhancing adolescents’ academic success. However, few studies have focused on the mechanism between peer relationship and learning engagement. As such, based on Social Cognitive Theory, this study attempts to explore how peer relationship of adolescents is linked to learning engagement through the chain mediating roles of self-efficacy and academic resilience. The participants were 250 students who were selected via random sampling in a public middle school, in Eastern China, in June 2021. All the participants filled in the structured self-report questionnaires on peer relationship, self-efficacy, academic resilience, and learning engagement. The data were analyzed with structural equation modeling (SEM) in SPSS 24.0 and AMOS 24.0. Results indicated that peer relationship was directly and positively associated with learning engagement. Results also indicated that peer relationship was indirectly and positively…

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    Digital Leadership and Employee Creativity: The Role of Employee Job Crafting and Person-Organization Fit

    Jian Zhu, Bin Zhang, Mingxing Xie, Qiuju Cao

    124 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.827057OpenAlex

    Show abstract

    Industry 4.0 has changed the paradigm in the business practice and business model, and digital technology has brought radical transformations to enterprises. To support this transformation, digital leaders are required to help enterprises transform and lead them to a more promising future. Based on job demands-resources model and person-organization fit theory, this study examines the relationship between digital leadership and employee creativity. Based on a sample of 357 employees from various Chinese companies, this study used SPSS 22.0 and MPLUS 7.0 to examine the hypotheses. The findings indicate the following (a) digital leadership has a positive effect on employee creativity. (b) employee job crafting mediate the relationship between digital leadership and employee creativity. (c) person-organization fit positively moderates the relationship between digital leadership and employee job crafting. (d) person-organization fit positively moderates the indirect effect of digital leadership on employee creativity via employee job crafting. The findings reveal the effect mechanism of…

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    Development and Psychometric Properties of the DASS-Youth (DASS-Y): An Extension of the Depression Anxiety Stress Scales (DASS) to Adolescents and Children

    Marianna Szabó, Peter F. Lovibond

    123 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.766890OpenAlex

    Show abstract

    The Depression Anxiety Stress Scales (DASS; Lovibond and Lovibond, 1995b ) is a set of psychometrically sound scales that is widely used to assess negative emotional states in adults. In this project, we developed the Depression Anxiety Stress Scales for Youth (DASS-Y) and tested its psychometric properties. Data were collected from 2,121 Australian children and adolescents aged 7–18 (61% female). This sample was split randomly into a calibration group (n = 1075, 61% female) and a cross-validation group (n = 1046, 60% female). First, we used Confirmatory Factor Analysis on the calibration group to test the 3-factor DASS model on 40 items we had developed in previous exploratory studies. We then selected the best-performing 21 items based on both statistical and theoretical considerations, guided by the structure and item content of the adult DASS. We cross-validated this new 21-item model in the second half of the sample. Results indicated good fit for the final 21-item 3-factor DASS model in both groups of children and adolescents. Multiple regression analyses showed that when…

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    Effects of social media tourism information quality on destination travel intention: Mediation effect of self-congruity and trust

    Huimin Wang, Jinzhe Yan

    122 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.1049149OpenAlex

    Show abstract

    The asymmetry of tourism information makes social media an important information source. Previous research has been conducted on the influence of tourist-generated content on tourism consumption behavior, but few studies have concentrated on the mechanism of tourism information quality on consumers' travel intention in the social media environment. Adopting the Elaboration Likelihood Model, this paper aims to investigate how the information quality of social media affects consumers' travel intention rationally and emotionally and the moderation effect of tourists' prior knowledge. The empirical results indicate that the quality of social media information positively affects travel intention and self-congruity and trust mediates the relationship between the quality of social media information and travel intention. Moreover, this study identified that tourists' prior knowledge negatively modifies the relationship between information quality and self-congruity in line with the proposed hypotheses. The research explores the influence mechanism of tourist-generated content quality on…

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    How to facilitate employees’ green behavior? The joint role of green human resource management practice and green transformational leadership

    Tingting Chen, Zhanyong Wu

    122 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.906869OpenAlex

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    Given the severity of today's environmental issues, companies are increasingly making green concepts a key component of their operational strategies. As an essential complement to corporate environmental strategy, employees' green behavior has received attention from all sectors of society. Based on resource conservation theory, this study explores the formation mechanism of employees' green behaviors in enterprises starting from two green management tools: green human resource management (HRM) practices and green transformational leadership. Through two-stage questionnaire research, 296 sample data points were obtained, and the research hypotheses were tested by using linear regression analysis. The results showed that green HRM practices in enterprises enhance employees' green mindfulness and thus stimulate their green behaviors and that green transformational leadership and green self-efficacy play a positive moderating role in the above relationship. These results support the applicability of resource conservation theory in green management and suggest that green HRM practices…

  65. 66
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    The Depression Anxiety Stress Scale 8-Items Expresses Robust Psychometric Properties as an Ideal Shorter Version of the Depression Anxiety Stress Scale 21 Among Healthy Respondents From Three Continents

    Amira Mohammed Ali, Hiroaki Hori, Yoshiharu Kim, Hiroshi Kunugi

    122 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.799769OpenAlex

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    To examine the cultural limitations and implications in the applicability of the Depression Anxiety Stress Scale 8-items (DASS-8)—a shortened version of the DASS-21 recently introduced in an Arab sample—this study evaluated its psychometric properties, including measurement invariance, among healthy subjects from the United States, Australia, and Ghana. Confirmatory factor analysis revealed good fit of the DASS-8 relative to a 12-item version (DASS-12). Both the DASS-8 and the DASS-12 were invariant at all levels across genders, employment status, and students vs. non-students. The DASS-8/DASS-12 also expressed invariance at the configural and metric levels across all countries, albeit scalar invariance was not maintained due to misspecification of the factor loadings in the Ghanian sample. Mann–Whitney U test revealed significantly lower levels of mental symptomatology on the DASS measures among Ghanian students than in English-speaking respondents (both students and non-students). The DASS-8 expressed excellent internal consistency (coefficient alpha = 0.89), good convergent…

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    Exploring the Relationship Among Teacher Emotional Intelligence, Work Engagement, Teacher Self-Efficacy, and Student Academic Achievement: A Moderated Mediation Model

    Li Wang

    118 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2021.810559OpenAlex

    Show abstract

    In recent years, many studies have been done to identify the factors that affect teacher emotions at schools. However, the empirical evidence on how teachers' emotions influence students' outcomes and performance is not extensive. Against this background, this study explored the correlation between teacher EI and student academic achievement and possible mechanisms may lie in this relationship. A sample of 365 Chinese teachers from 25 public middle schools participated in this study by completing measurements of teacher EI, teacher work engagement, and teacher self-efficacy. The student academic achievement was assessed by the grades of the previous term (February to June 2020) reported by the students. The results indicated that teacher work engagement partially mediated the path from teacher EI and student academic achievement. Moderated mediation further showed that teachers with high self-efficacy had a more significant positive impact on the relationship between teacher work engagement and student academic achievement than teachers with low self-efficacy. The limitations of…

  67. 68
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    Cronbach’s alpha in mathematics education research: Its appropriateness, overuse, and alternatives in estimating scale reliability

    Yusuf Feyisara Zakariya

    117 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.1074430OpenAlex

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    Critiques of coefficient alpha as an estimate of scale reliability are widespread in the literature. However, the continuous overuse of this statistic in mathematics education research suggests a disconnection between theory and practice. As such, this article argues, in a non-technical way, for the limited usefulness of coefficient alpha, its overuse, and its alternatives in estimating scale reliability. Coefficient alpha gives information only about the degree of the interrelatedness of a set of items that measures a construct. Contrary to the widely circulated misconceptions in mathematics education research, a high coefficient alpha value does not mean the instrument is reliable, and it does not imply the instrument measures a single construct. Coefficient alpha can only be dependable as an estimate of reliability under verifiable and restrictive conditions. I expose these conditions and present steps for their verification in empirical studies. I discuss some alternatives to coefficient alpha with references to non-technical articles where worked examples and programming codes…

  68. 69
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    Improving students' mathematics self-efficacy: A systematic review of intervention studies

    Yusuf Feyisara Zakariya

    116 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.986622OpenAlex

    Show abstract

    Self-efficacy is an integral part of personal factors that contributes substantially to students' success in mathematics. This review draws on previous intervention studies to identify, describe, and expose underlying mechanisms of interventions that foster mathematics self-efficacy. The findings show that effective mathematics self-efficacy interventions can be categorized into three categories using their underlying mechanisms: those that directly manipulate sources of self-efficacy to foster the construct, and those that either embed self-efficacy features in teaching methods or in learning strategies. Specific examples of interventions that fall in each of these three categories are described including their features and the underlying mechanisms that improve students' mathematics self-efficacy. I argue for the two "most effective" interventions that foster mathematics self-efficacy and their relevance to either pre-university or university students with implications for teaching and learning of mathematics.

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    The Relationship Between Teacher Job Stress and Burnout: A Moderated Mediation Model

    Weiguo Zhao, Xiangrui Liao, Qingtian Li, Wenning Jiang, Wen Ding

    116 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2021.784243OpenAlex

    Show abstract

    This study explored the relationship between teacher job stress and job burnout using a sample of 558 primary and secondary school teachers, who were administered with a teacher job stress scale, teacher job burnout scale, work-family conflict questionnaire, and general self-efficacy scale. The results showed that: (1) job stress had a significant predictive effect on work-family conflict and job burnout; (2) work-family conflict played a mediating role in the relationship between job stress and job burnout; (3) self-efficacy was found to play a moderating role in work-family conflict and job burnout. However, this indirect effect was stronger for teachers with high self-efficacy, which means that the protective effects of self-efficacy were limited. These findings add to research on the relationship between teacher job stress and job burnout, and provide ideas for teachers to balance work-family relationships and reduce job burnout.

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    Cyber security threats: A never-ending challenge for e-commerce

    Xiang Liu, Sayed Fayaz Ahmad, Muhammad Khalid Anser, Jingying Ke, Muhammad Irshad and 2 more

    115 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.927398OpenAlex

    Show abstract

    This study explores the challenge of cyber security threats that e-commerce technology and business are facing. Technology applications for e-commerce are attracting attention from both academia and industry. It has made what was not possible before for the business community and consumers. But it did not come all alone but has brought some challenges, and cyber security challenge is one of them. Cyber security concerns have many forms, but this study focuses on social engineering, denial of services, malware, and attacks on personal data. Firms worldwide spend a lot on addressing cybersecurity issues, which grow each year. However, it seems complicated to overcome the challenge because the attackers continuously search for new vulnerabilities in humans, organizations, and technology. This paper is based on the conceptual analysis of social engineering, denial of services, malware, and attacks on personal data. We argue that implementing modern technology for e-commerce and cybersecurity issues is a never-ending game of cat and mouse. To reduce risks, reliable technology is needed,…

  71. 72
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    Art in an age of artificial intelligence

    Anjan Kumar Chatterjee

    114 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.1024449OpenAlex

    Show abstract

    Artificial intelligence (AI) will affect almost every aspect of our lives and replace many of our jobs. On one view, machines are well suited to take over automated tasks and humans would remain important to creative endeavors. In this essay, I examine this view critically and consider the possibility that AI will play a significant role in a quintessential creative activity, the appreciation and production of visual art. This possibility is likely even though attributes typically important to viewers-the agency of the artist, the uniqueness of the art and its purpose might not be relevant to AI art. Additionally, despite the fact that art at its most powerful communicates abstract ideas and nuanced emotions, I argue that AI need not understand ideas or experience emotions to produce meaningful and evocative art. AI is and will increasingly be a powerful tool for artists. The continuing development of aesthetically sensitive machines will challenge our notions of beauty, creativity, and the nature of art.

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    The influence of academic pressure on adolescents’ problem behavior: Chain mediating effects of self-control, parent–child conflict, and subjective well-being

    Maomin Jiang, Kai Gao, Zhengyu Wu, Pei-pei Guo

    114 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.954330OpenAlex

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    As a negative social issue, teenagers' problem behavior not only affects individuals' physical and mental health and social function development but is also not conducive to social harmony and stability. This study mainly discusses the influence of academic pressure on adolescents' problem behavior, and the potential relationship between these and academic pressure, examining issues such as self-control, parent-child conflict, and subjective well-being. The data were collected from the fifth wave of the China Family Panel Studies (2017-2018). The data of 2,465 teenagers aged 10-15 were analyzed by LISREL8.8 software. The results show that academic pressure positively affects adolescents' deviant behavior. The mediation model finds that parent-child conflict and self-control play a direct mediating role between academic pressure and adolescents' behavioral problems. Parent-child conflict, self-control, and subjective well-being have important chain mediation effects between academic pressure and adolescents' problem behavior. Therefore, in order to reduce the risk of such problems,…

  73. 74
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    Quantitative ESG disclosure and divergence of ESG ratings

    Min Liu

    114 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.936798OpenAlex

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    Over the past decade, sustainable finance has been a topic of burgeoning significance for investors, and ESG ratings have become commonly used to implement ESG investment strategies in practice. Strikingly, it is widely documented in both academic literature and investment practices that ESG ratings of a given firm can be extremely different across rating providers. However, despite the disagreement in ESG ratings being subject to a lot of criticism, only few studies have examined the sources and determinants of rating divergence. This study examines whether quantitative ESG disclosure is conducive to rating convergence among agencies. Based on ESG rating data of Chinese A-share listed companies, the author finds that greater quantitative ESG disclosure, especially disclosure on environmental and social pillars, results in greater divergence of ESG ratings. When employing a difference-in-differences design with a quasi-experiment of disclosure guidance introduced by Hong Kong Exchange, the results show that if ESG disclosure is standardized and comparable, more numerical information…

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    A Structural Model of Teacher Self-Efficacy, Emotion Regulation, and Psychological Wellbeing Among English Teachers

    Shen Xi-yun, Jalil Fathi, Naser Shirbagi, Farnoosh Mohammaddokht

    114 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.904151OpenAlex

    Show abstract

    Because of the exacting nature of teaching, identifying factors affecting teachers' mental health and psychological wellbeing are of paramount importance. Parallel with this line of inquiry, the goal of this project was to test a model of psychological wellbeing based on teacher self-efficacy and emotion regulation in an EFL context. To this end, 276 Iranian English teachers participated in this survey. First, the measurement models for the three latent constructs were verified through performing Confirmatory Factor Analysis (CFA). Then Structural Equation Modeling (SEM) was used to test the hypothesized model. SEM outcomes evince that both teacher self-efficacy and emotion regulation were the significant predictors of teachers' psychological wellbeing, with teacher self-efficacy being a stronger correlate than emotion regulation. The findings offer significant implications for English as a Foreign Language (EFL) teachers.

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    Adoption of AI-Enabled Tools in Social Development Organizations in India: An Extension of UTAUT Model

    Ruchika Jain, Naval Garg, Shikha N. Khera

    114 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.893691OpenAlex

    Show abstract

    Social development organizations increasingly employ artificial intelligence (AI)-enabled tools to help team members collaborate effectively and efficiently. These tools are used in various team management tasks and activities. Based on the unified theory of acceptance and use of technology (UTAUT), this study explores various factors influencing employees' use of AI-enabled tools. The study extends the model in two ways: a) by evaluating the impact of these tools on the employees' collaboration and b) by exploring the moderating role of AI aversion. Data were collected through an online survey of employees working with AI-enabled tools. The analysis of the research model was conducted using partial least squares (PLS), with a two-step model - measurement and structural models of assessment. The results revealed that the antecedent variables, such as effort expectancy, performance expectancy, social influence, and facilitating conditions, are positively associated with using AI-enabled tools, which have a positive relationship with collaboration. It also concluded a significant…

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    Motor skills and cognitive benefits in children and adolescents: Relationship, mechanism and perspectives

    Peng Shi, Xiaosu Feng

    113 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.1017825OpenAlex

    Show abstract

    Objective: There is a strong interaction between motor skills and cognitive benefits for children and young people. The aim of this paper is to explore the relationship between motor skill types and their development and the cognitive benefits of children and adolescents. In turn, on this basis, it proposes pathways and mechanisms by which motor skills improve cognition, and provide a basis for subsequent teaching of skills that follow the laws of brain cognitive development. Methods: This paper summarizes the research on the relationship between different types of motor skills and their development and cognitive benefits of children and adolescents. Based on these relationships, pathways, and mechanisms for motor skills to improve cognition are tentatively proposed. Results: There is an overall pattern of "open > closed, strategy > interception, sequence > continuous" between motor skill types and the cognitive benefits of children and adolescents. Long-term motor skill learning practice is accompanied by increased cognitive benefits as skill proficiency increases. The dynamic…

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    Work stress, mental health, and employee performance

    Biao Chen, Lu Wang, Biao Li, Weixing Liu

    113 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.1006580OpenAlex

    Show abstract

    The COVID-19 pandemic outbreak-as a typical emergency event-significantly has impacted employees' psychological status and thus has negatively affected their performance. Hence, along with focusing on the mechanisms and solutions to alleviate the impact of work stress on employee performance, we also examine the relationship between work stress, mental health, and employee performance. Furthermore, we analyzed the moderating role of servant leadership in the relationship between work stress and mental health, but the result was not significant. The results contribute to providing practical guidance for enterprises to improve employee performance in the context of major emergencies.

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    Augmented Reality Marketing: A Systematic Literature Review and an Agenda for Future Inquiry

    Zhao Du, Jun Liu, Tianjiao Wang

    112 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.925963OpenAlex

    Show abstract

    Augmented reality (AR) is a potentially disruptive technology that enriches the consumer experience and transforms marketing. With the surging popularity of AR in marketing practice, academic efforts to investigate its effects on consumer experience, response, and behavior have increased significantly. To obtain an integrated and comprehensive view of the front-line in AR marketing research and identify the gaps for future research, we analyze the existing AR marketing literature through a systematic literature review. Using 99 journal articles selected from the Web of Science core collections, this research sheds light on the general characteristics such as publication year, publication outlet, research design, and research method. Moreover, this research also gains insight into the AR marketing relevant factors such as application area, application context, AR type, and theoretical lenses. The findings of the analyses reveal the state-of-the-art of scholarly publications on AR marketing research. First, the number of journal articles on AR marketing increased rapidly in the past…

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    The Effect of University Students’ Emotional Intelligence, Learning Motivation and Self-Efficacy on Their Academic Achievement—Online English Courses

    Yuan‐Cheng Chang, Yu-Ting Tsai

    112 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.818929OpenAlex

    Show abstract

    The COVID-19 pandemic has had a significant impact on education worldwide. The disease first hit China and numerous Chinese cities then started to conduct online courses. Therefore, this study aims to explore the effect of the Shanghai students' emotional intelligence, learning motivation, and self-efficacy on their academic achievement when they participated in online English classes during the latter phase of the pandemic in China. Furthermore, the research also examines whether the students' emotional intelligence can influence their academic achievement through the mediation effect of their learning motivation and self-efficacy. Social Cognitive Theory (SCT) and the social cognitive Expectancy-Value Model were employed to build the research framework, and the method of structural equation modeling (SEM) was utilized to conduct the model verification. Ten universities in Shanghai, China were selected for sampling. In total, 450 students were surveyed of which 404 questionnaires were valid. The results show that the students' emotional intelligence did not directly affect their…

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    Impact of Parenting Style on Early Childhood Learning: Mediating Role of Parental Self-Efficacy

    CHUIBIN KONG, Fakhra Yasmin

    111 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.928629OpenAlex

    Show abstract

    The current study examined the impact of parental style on early childhood learning, as well as the role of parental self-efficacy (PSE) as a mediating factor. In the domains of education and psychology, it is increasingly recognized that parents have a considerable impact on their children's learning and development. Purposive sampling was used and data was gathered over 3 months from school children's parents. Hypotheses were tested using smart partial least squares-structural equation modeling (PLS-SEM v3.2.8) software. The findings of the present study reveal that an authoritative parenting style is positively associated with learning outcomes among Chinese students. Moreover, the mediating role of parental self-efficacy has been tested and proved to be a potential mediator between parental style and children's learning outcomes. High PSE is linked to parents' adoption of a variety of optimum parenting practices throughout childhood, including maternal sensitivity and responsiveness to children's needs, warm and affectionate parental behavior, and monitoring. Hence, low PSE has…

  81. 82
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    Purchase Intention for Green Cars Among Chinese Millennials: Merging the Value–Attitude–Behavior Theory and Theory of Planned Behavior

    Lei Wang, Qi Zhang, Philip Pong Weng Wong

    111 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.786292OpenAlex

    Show abstract

    The value-attitude-behavior and the theory of planned behavior (TPB) appear to provide limited explanation for consumer green purchase behavior. This study aims to examine the relationship between pro-environmental value, consumption value, and TPB toward green car purchasing intention among the young Chinese generation. A total of 541 student responses were collected, and the results showed that altruistic value positively influenced subjective norm (SN) and perceived behavioral control (PBC), but negatively influenced green purchase attitude (GPA). Biospheric value positively influenced GPA and PBC. Function value and emotional value positively influenced GPA, respectively, and emotional value fully mediated the relationship between function value and GPA. Furthermore, GPA, SN, PBC positively influenced intention toward green car purchasing behavior, respectively, and SN mediated the relationship between GPA and intention. This study shows how pro-environmental value and consumption value can influence components of TPB in green car purchase intention.

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    Psychedelics and Psychotherapy: Cognitive-Behavioral Approaches as Default

    David B. Yaden, Dylan Earp, Marianna Graziosi, Dara G. Friedman‐Wheeler, Jason B. Luoma and 1 more

    110 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.873279OpenAlex

    Show abstract

    The acute subjective effects of psychedelics are responsive to users' expectations and surroundings (i.e., "set and setting"). Accordingly, a great deal of thought has gone into designing the psychosocial context of psychedelic administration in clinical settings. But what theoretical paradigms inform these considerations about set and setting? Here, we describe several historical, sociological influences on current psychedelic administration in mainstream European and American clinical research settings, including: indigenous practices, new age spirituality from the 1960s, psychodynamic/psychoanalytic approaches, and cognitive-behavioral approaches. We consider each of these paradigms and determine that cognitive-behavioral therapies, including newer branches such as acceptance and commitment therapy (ACT), have the strongest rationale for psychedelic-assisted psychotherapy going forward. Our primary reasons for advocating for cognitive-behavioral approaches include, (1) they avoid issues of cultural insensitivity, (2) they make minimal speculative assumptions about the nature of…

  83. 84
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    Study of Virtual Reality Immersive Technology Enhanced Mathematics Geometry Learning

    Yu-Sheng Su, Hung‐Wei Cheng, Chin‐Feng Lai

    109 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.760418OpenAlex

    Show abstract

    Mathematics is an important foundation for the development of science education. In the past, when instructors taught mathematical concepts of geometry shapes, they usually used traditional textbooks and aids to conduct teaching activities, which resulted in students not being able to understand the principles completely. Nowadays, it has become a trend to integrate emerging technologies into mathematics courses and to use digital instructional aids. Emerging technologies can effectively enhance students' sensory experience while strengthening their impressions and understandings of subject concepts. In this paper, we apply virtual reality immersive technologies to develop a "virtual reality immersive learning mathematics geometry system," which is used to teach mathematical geometry concepts. Teachers use the system to develop three basic mathematical geometry learning materials: "Triangular pyramid volume = 1/3 prism volume," "Cone volume calculation," and "Triangle center of gravity derivation." In the experimental activity, the teacher uses virtual reality teaching aids to guide…

  84. 85
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    Digital literacy in the university setting: A literature review of empirical studies between 2010 and 2021

    Nieves Gutiérrez Ángel, Jesús Nicasio García Sánchez, Isabel Mercader Rubio, Judit García‐Martín, Sónia Brito‐Costa

    108 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.896800OpenAlex

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    The impact of digital devices and the Internet has generated various changes at social, political, and economic levels, the repercussion of which is a great challenge characterized by the changing and globalized nature of today's society. This demands the development of new skills and new learning models in relation to information and communication technologies. Universities must respond to these social demands in the training of their future professionals. This paper aims to analyze the empirical evidence provided by international studies in the last eleven years, related to the digital literacy of university students, including those pursuing degrees related to the field of education. Our findings highlight the fact that the digital literacy that is offered in universities to graduate/postgraduate students, in addition to treating digital literacy as a central theme, also focuses on perceived and developed self-efficacy. This is done by strengthening competencies related to digital writing and reading, the use of databases, the digital design of content and materials, and the…

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    Family functioning and adolescent depression: A moderated mediation model of self-esteem and peer relationships

    Xinquan Huang, Ningning Hu, Zhengdong Yao, Biao Peng

    108 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.962147OpenAlex

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    In consideration of family system theory, the vulnerability model of depression, and the stress buffering model of social support, the current study examined the effect of family functioning on adolescent depression, the mediating effect of self-esteem, and the moderating effect of peer relationships. A sample of Chinese adolescents ( n = 562, 47.15% male, 52.85% female, mean age 14.33 years, SD = 1.81 years) completed questionnaires regarding family functioning, depression, self-esteem, and peer relationships. The results showed that: (1) family functioning had a significant negative predictive effect on adolescent depression; (2) self-esteem plays a mediating role between family functioning and adolescent depression; and (3) peer relationships have a moderating effect on the relationship between self-esteem and adolescent depression, supporting the moderated mediation model. These results reveal the influence mechanism of family functioning on adolescent depression and have implications for adolescent depression intervention.

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    The application of artificial intelligence assistant to deep learning in teachers' teaching and students' learning processes

    Yi Liu, Lei Chen, Zerui Yao

    107 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.929175OpenAlex

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    With the emergence of big data, cloud computing, and other technologies, artificial intelligence (AI) technology has set off a new wave in the field of education. The application of AI technology to deep learning in university teachers' teaching and students' learning processes is an innovative way to promote the quality of teaching and learning. This study proposed the deep learning-based assessment to measure whether students experienced an improvement in terms of their mastery of knowledge, development of abilities, and emotional experiences. It also used comparative analysis of pre-tests and post-tests through online questionnaires to test the results. The impact of technology on teachers' teaching and students' learning processes, identified the problems in the teaching and learning processes in the context of the application of AI technology, and proposed strategies for reforming and optimizing teaching and learning. It recommends the application of software and platforms, such as Waston and Knewton, under the orientation of AI technology to improve efficiency in teaching and…

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    The Influence of Teacher–Student Interaction on the Effects of Online Learning: Based on a Serial Mediating Model

    Hailong Sun, Ting Sun, Feng-Yi Sha, Xiao-Yu Gu, Xin-Ru Hou and 2 more

    107 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.779217OpenAlex

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    During the COVID-19 pandemic, online education has become an important approach to learning in the information era and an important research topic in the field of educational technology as well as that of education in general. Teacher–student interaction in online education is an important factor affecting students’ learning performance. This study employed a questionnaire survey to explore the influence of teacher–student interaction on learning effects in online education as well as the mediating role of psychological atmosphere and learning engagement. The study involved 398 college students studying at Chinese universities as the research object. Participants filled out a self-report questionnaire. The study found that (1) the level of teacher–student interaction positively affected students’ learning effects ( r = 0.649, p < 0.01). (2) The psychological atmosphere mediated the positive effect of the level of teacher–student interaction on learning effects with mediating effect value of 0.1248. (3) Learning engagement mediated the positive effect of teacher–student interaction…

  88. 89
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    Higher Education Students’ Reflective Journal Writing and Lifelong Learning Skills: Insights From an Exploratory Sequential Study

    Dorit Alt, Nirit Raichel, Lior Naamati-Schneider

    107 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2021.707168OpenAlex

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    Reflective journal (RJ) writing has been recognized as an effective pedagogical tool for nurturing students' lifelong learning skills. With the paucity of empirical work on the dimensionality of reflective writing, this research sought to qualitatively analyze students' RJ writing and design a generic reflection scheme for identifying dimensions of reflective thinking. Drawing on the theoretical scheme, another aim was to design and validate a questionnaire to measure students' perceptions of their reflective writing experiences. The last aim was to quantitatively measure the link between perceived reflective writing and students' tendency to use RJs in their future careers and personal lives. This exploratory sequential research included the following steps: First, experts' review and analysis of 1312 RJ entries were attained. This step led to the design of a theoretical scheme of reflective writing and a 31-item questionnaire, used to gather data from 171 students (second-year pre-service teachers and third-year health managers). Partial Least Squares analysis corroborated the…

  89. 90
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    Learning behavior, digital platforms for learning and its impact on university student’s motivations and knowledge development

    Uzma Noor, Muhammad Younas, Hessah Saleh Aldayel, Rashid Menhas, Xu Qingyu

    106 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.933974OpenAlex

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    Background: Learning digital technologies in higher education is a process of knowledge generation, and the rapid growth of technology in education has a significant impact on students' learning behaviors, motivation, and knowledge development. Pakistan's remarkable technological breakthrough has increased in the education field. Study objectives: The study focuses on estimating students' learning behaviors, identifying the positive influence of educational apps on digital learning platforms, and analyzing their impact on students' motivation and knowledge development. Materials and methods: = 300, carefully chosen using the purposive sampling technique. Of the respondents, there were 146 male and 154 female students, and the sample consisted of individuals aged 25-35 years. Smart-PLS-Bootstrapping, T-Values (PLS) 3.2.9 and the structural equation model (SEM) were applied to get the appropriate outcomes from the proposed study framework. Results: SEM analysis results shows that all proposed hypotheses [Animated Movies (AM) -> Student Motivation (SM), Educational Apps (EA) ->…

  90. 91
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    Corporate Business Strategy and Tax Avoidance Culture: Moderating Role of Gender Diversity in an Emerging Economy

    Xiaochen Zhang, Muhammad Husnain, Hailan Yang, Saif Ullah, Jaffar Abbas and 1 more

    106 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.827553OpenAlex

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    Tax payments stimulate business enterprises to choose tax management through tax avoidance activities, which is the legal practice to reduce the amount of tax payable. In developing economies, taxation is considered more critical for budget and revenues of a country. This paper investigates whether various business strategies influence corporate tax avoidance decisions of firms by adopting business strategies. Besides, it explores how gender diversity can ease this relationship. This study has chosen a sample of organizations from non-financial sector in Pakistan. The time frame is 5 years, including once a year. The present model employed a generalized moment method (GMM) and tested the proposed hypothesis to draw the results. The study has taken the size, leverage, and business profitability as control variables of firms. The study outcomes by using the GMM method demonstrate that the presence of female directors reduces tax avoidance behavior in prospector companies. This study provides insight into future research for stakeholders, government officials, tax authorities, and…

  91. 92
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    A Hierarchical Integrated Model of Self-Regulation

    Clancy Blair, Seulki Ku

    106 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.725828OpenAlex

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    We present a hierarchical integrated model of self-regulation in which executive function is the cognitive component of the model, together with emotional, behavioral, physiological, and genetic components. These five components in the model are reciprocally and recursively related. The model is supported by empirical evidence, primarily from a single longitudinal study with good measurement at each level of the model. We also find that the model is consistent with current thinking on related topics such as cybernetic theory, the theory of allostasis and allostatic load, and the theory of skill development in harsh and unpredictable environments, referred to as "hidden talents." Next, we present literature that the integrative processes are susceptible to environmental adversity, poverty-related risk in particular, while positive social interactions with caregivers (e.g., maternal sensitivity) would promote self-regulatory processes or mitigate the adverse effect of early risk on the processes. A hierarchical integrative model of self-regulation advances our understanding of…

  92. 93
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    The Impact of Cooperative Learning on University Students’ Academic Goals

    Santiago Mendo-Lázaro, Benito León del Barco, María-Isabel Polo-del-Río, Víctor-María López-Ramos

    106 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2021.787210OpenAlex

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    Cooperative learning encourages the development of interpersonal skills and motivates students to participate more actively in the teaching and learning process. This study explores the impact of cooperative learning on the academic goals influencing university students’ behavior and leading to the attainment of a series of academic objectives. To this end, a quasi-experimental pretest-posttest control group design was used, with a sample of 509 university students from Preschool, Primary and Social Education undergraduate degree courses. Using the Academic Goals Questionnaire (AGQ), pretest and posttest measures were taken via self-reports to evaluate three types of academic goals: learning goals, social reinforcement goals and achievement goals. The results show that cooperative learning is an effective tool for encouraging university students to develop academic goals that motivate them to fully engage with the tasks they are set in order to acquire knowledge and skills (learning goals). In addition, when students are asked to work as part of a team on an autonomous basis without…

  93. 94
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    Enjoyment as a Predictor of Exercise Habit, Intention to Continue Exercising, and Exercise Frequency: The Intensity Traits Discrepancy Moderation Role

    Diogo Teixeira, Filipe Fernandes Rodrigues, Luí­s Cid, Diogo Monteiro

    105 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.780059OpenAlex

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    Given the need to explore the factors that can account for a better understanding of the intention-behavior gap in exercise practice in health club settings, and considering the emergence of hedonic assumptions related to exercise adherence, this cross-sectional study aimed to test the moderation effect of the intensity traits agreement/disagreement in three relevant outcomes of exercise enjoyment: exercise habit, intention to continue exercising, and exercise frequency. A sample consisted of 273 exercisers (male = 127; M age = 36.21; SD = 11.29) enrolled in nine health clubs who voluntarily fulfilled a battery of questionnaires. All analyses were performed using SPSS v. 23.0/PROCESS v. 3.5. The results of the study presented a moderation effect of exercise intensity traits agreement on three relevant enjoyment outcomes: exercise habit, intention to continue exercising, and exercise frequency. No relevant results emerged from intensity traits disagreement. The results suggest that assessing and tailoring exercise prescription and supervision in order to customize exercise intensity…

  94. 95
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    Understanding the Influence of Consumers’ Perceived Value on Energy-Saving Products Purchase Intention

    Biao Luo, Liru Li, Sun Ying

    105 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2021.640376OpenAlex

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    Since rapid economic growth has led to the overuse of natural resources and environmental degradation, increasing attention has been paid to environmental problems. This study aims to explore the relationship between consumers' perceived value and satisfaction, and energy-saving products purchase intention was investigated using appraisal-emotional response-coping theory. Moreover, this study further investigates these relationships in different consumer groups. In total, 399 questionnaires were collected online and offline, and results though structural equation modeling analysis show that functional, emotional, conditional, and green value have a positive effect on consumer satisfaction and thereby promote the intention to purchase energy-saving products. However, social value is not significant for consumer satisfaction. Perceived value influences consumer satisfaction and varies among different consumers according to the results of multigroup structural equation modeling analysis. These results have practical significance for the design and marketing of energy-saving products.

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    Teachers’ Commitment and Self-Efficacy as Predictors of Work Engagement and Well-Being

    Kunyao Shu

    104 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.850204OpenAlex

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    In the field of language-education psychology, the psychology of educators was not at the center of attention to some extent, despite the immense attention given to the psychology of students. Recently, positive psychology has become very important as it puts more emphasis on the constructive dimensions of life and it regards individual well-being as a major problem for individuals' achievement. Since the core of an instructing institution is the educators, their well-being must be prioritized in the academic circumstances to both improve students' skills and to motivate and inspire participation and involvement in the class. Moreover, teacher engagement is viewed as another significant factor in this realm that refers to people's outlook toward their job, impacting their emotional attendance and engagement during their presentation. Also, there is an inner force that pushes educators to put more time and strength in maintaining participation in the school that is called educator commitment that is determined on evolving the school builds an emotive connection between educators and…

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    Students’ online interaction, self-regulation, and learning engagement in higher education: The importance of social presence to online learning

    Jia Miao, Li Ma

    103 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.815220OpenAlex

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    Online learning have played a very significant role for achieving professional and academic qualifications in higher education. There have been more and more researches that explore the issues of learning activities, satisfaction, engagement, and interactions between instructors and students. To promote learning engagement in online learning environments in higher education, this study collected data from 334 full-time undergraduate students in a large public Chinese university and explored the correlation of online interaction, self-regulation learning and social presence on learning engagement in online environments. The research findings indicated that online interaction affected social presence and indirectly affected learning engagement through social presence. In addition, social presence affected learning engagement, self-regulation affected social presence, and social presence also mediated the relationship between self-regulation and learning engagement. This study reported that self-regulation learning and social presence had positive correlation with on students' learning…

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    K−12 teachers' stress and burnout during the COVID-19 pandemic: A systematic review

    Andrea Westphal, Eva Kalinowski, Clara Josepha Hoferichter, Miriam Vock

    103 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.920326OpenAlex

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    We present the first systematic literature review on stress and burnout in K-12 teachers during the COVID-19 pandemic. Based on a systematic literature search, we identified 17 studies that included 9,874 K-12 teachers from around the world. These studies showed some indication that burnout did increase during the COVID-19 pandemic. There were, however, almost no differences in the levels of stress and burnout experienced by K-12 teachers compared to individuals employed in other occupational fields. School principals' leadership styles emerged as an organizational characteristic that is highly relevant for K-12 teachers' levels of stress and burnout. Individual teacher characteristics associated with burnout were K-12 teachers' personality, self-efficacy in online teaching, and perceived vulnerability to COVID-19. In order to reduce stress, there was an indication that stress-management training in combination with training in technology use for teaching may be superior to stress-management training alone. Future research needs to adopt more longitudinal designs and examine the…

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    Factors influencing the adoption of internet banking: An integration of ISSM and UTAUT with price value and perceived risk

    Mohammed Amin Almaiah, Ali Mugahed Al-Rahmi, Fahad Alturise, Mahmaod Alrawad, Salem Alkhalaf and 3 more

    103 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.919198OpenAlex

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    The investigation of users' satisfactions and intentions in using the services provided by commercial banks needs to be focused on internet banking, since this is the widely used banking service. This paper analyzed the satisfactions and behavioral intentions of Malaysian customers in using Internet Banking, applying the Information System Success Model (ISSM) by the integration of adoption and application technology (UTAUT) theory. Some criteria, which were taken into consideration, are as follows: perceived Risk (PR), facilitating Conditions (FC), Price (PV), Performance expectancy (PE), Information Quality (IQ), Service Quality (SEQ), and System Quality (SQ). These aspects are important to measure customers' satisfaction and behavior toward Internet and Online Banking. A sample of 362 valid responses, consisting of Malaysian customers who used E-Banking, was used for the purpose of data collection. The relationship between customers' satisfaction and factors influencing their contentment in using Online Banking was investigated. In order to evaluate this, a model called…

  99. 100
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    Effects of screen exposure on young children’s cognitive development: A review

    Bahia Guellaï, Eszter Somogyi, Rana Esseily, Adrien Chopin

    103 citationsOpen access (CC-BY)doi:10.3389/fpsyg.2022.923370OpenAlex

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    The past decade has witnessed a rapid increase in the use of screen media in families, and infants are exposed to screens at younger ages than ever before. The objective of this review is twofold: (1) to understand the correlates and demographic factors determining exposure to screens, including interactive screens, when available, and (2) to study the effects of watching screens and using touchscreens on cognitive development, during the first 3 years of life. We argue that the effects of screen viewing depend mostly on contextual aspects of the viewing rather than on the quantity of viewing. That context includes the behavior of adult caregivers during viewing, the watched content in relation to the child's age, the interactivity of the screen and whether the screen is in the background or not. Depending on the context, screen viewing can have positive, neutral or negative effects on infants' cognition.

How to read this list

The cohort is every article, review and book chapter OpenAlex attributes to Frontiers in Psychology with publication year 2022, excluding retracted works and paratext such as editorials and errata. The top 100 by citation count are listed; the percentile is the rank divided by the cohort size. 99 of the 100 entries have an abstract in OpenAlex. Counts were read on 29 October 2026 and will not be updated on this page, so a quoted rank stays verifiable. Full rules on the methodology page.

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