What exists in academia on work stress in accounting professionals: a bibliometric analysis

Rodrigues, Margarida; Oliveira, Cidália; Borges, Ana Pinto; Franco, Mário; Silva, Rui

doi:10.1007/s12144-022-03301-w

Cited by 5 publications

(4 citation statements)

References 122 publications

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“…The bibliometrics research follows a mixed methodology, as it provides an assessment of the qualitative and quantitative scope of each research subject which allows mapping a large volume of information contained in databases (Pritchard 1969). The bibliometrics is extremely useful for identifying the publication trends in topics/emergence terms and become dominant and influential in defining future research (Rodrigues et al 2022).…”

Section: Methodsmentioning

confidence: 99%

“…This study will use this bibliometric database's quantitative and qualitative approach. Some authors have developed bibliometric studies of the associated concepts at the level of scientific papers published in a particular journal (Rodrigues et al 2022;Bandara et al 2011;Briner and Denyer 2012), or the analysis of research in a specific country (Weerasinghe 2017;Geissdoerfer et al 2017).…”

Section: Methodsmentioning

confidence: 99%

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University-Industry Cooperation: A Peer-Reviewed Bibliometric Analysis

et al. 2022

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University-industry cooperation is associated with the transfer of knowledge and technology. This collaboration is an extremely important field of study for the world’s economies, helping companies to become more competitive. The present research aims to explore and analyze the literature related to university-industry cooperation, using a bibliometric analysis as a methodology. This study intends to use an unlike approach to conduct the literature review and map the most relevant research studies, using a rigorous research protocol based on scientific documents published in the Web of Science database, using the keyword “University-Industry Cooperation”. The 256 articles collected are situated in a time base between 1970 and 2020 and were submitted to content analysis in R Bibliometrix. This systematic literature review revealed that companies are increasingly focusing on cooperation with universities. The research of these publications points to a growing trend in publications of articles with the topic “University-Industry Cooperation”. From the bibliometric analysis of the global research results, we highlight the most cited authors and the authors’ publications over time, and we also highlight the main research topics and countries where studies were conducted. On the other hand, we also highlight the collaboration network between institutions, authors, and countries over time. The University-Industry cooperation is explored here as an added value for advancing scientific knowledge on the relationship between these two important stakeholders, opening the way for future research in this area. With this article, we hope to contribute to the evolution of scientific knowledge in this area, providing future researchers with a detailed radiography overview of the literature related to University-Industry cooperation, contributing to filling an existing gap related to the scarcity of SLR studies that focus on this scientific theme.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

University-Industry Cooperation: A Peer-Reviewed Bibliometric Analysis

et al. 2022

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“…students find this tool attractive because it helps them in the process of developing academic work. Numerous research has already been conducted on this subject, that have concluded the plagiarism issues in using generative AI tools (Rodrigues et al, 2024) [24] . The researchers also assess the experiences of the respondents if their utilization of AI made them more interested in the lessons of the teacher.…”

Section: Moderatementioning

confidence: 99%

The Use of Generative AI in Learning and Its Influence on Students’ Academic Engagement in Noveleta Senior High School

Aieron A,

Rowel Louie,

Laika

et al. 2024

IJAMRS

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The conducted study entitled The Use of Generative AI in Learning and Its Influence on Students’ Academic Engagement in Noveleta Senior High School seeks to provide insights on the relationship between the use of generative AI in learning and students’ academic engagement. A sequential-explanatory mixed-method research design is applied in the study to supply in-depth enlightenment, discussion, and investigation of the evaluated and correlated variables. Eighty-seven (87) respondents served as participants for the quantitative phase of the study, and ten (10) interviewees for the qualitative phase. The respondents were selected using Convenience Sampling, a non-probability sampling technique. Findings showed that use of generative AI has positively affected students' academic engagement and it improved their learning environment. On the other hand, generative AI has been a great aid in enhancing students' learning and engagement. Using Pearson R- Correlation, the researcher found that there is a significant high positive correlation between use of generative AI and students' academic engagement (r (87) = .765, p < 0.00001), while it has a good effect on their academic engagement. Generative AI has also made students lazier and more reliant on it which bears a lot of risk especially in academics. The duality of generative AI has been evident to the respondents of the study.

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“…In contemporary times, bibliometric analysis has gained significant traction within the realm of business research (Donthu et al, 2020;Donthu et al, 2021;Khan et al, 2021). Previously, research has taken place on understanding the academic patterns and aspects of occupational stress through bibliometric review (Rodrigues et al, 2022;Sidhu et al, 2020;Zhang et al, 2021) in various sectors such as healthcare (Costin et al, 2023) and finance (Rodrigues et al, 2022). Georgi et al, (2017) conducted a systematic literature review to examine the factors contributing to work-related stress by adhering to the principles set by the "Meta-analyses of Observational Studies in Epidemiology" (MOOSE) group and included a review of 20 papers; the authors of these respective papers have investigated various parameters to assess the work-related stress in banks.…”

Section: Introductionmentioning

confidence: 99%

Work-related stress among bank employees: A bibliometric analysis of research trends and patterns

Kaur,

Singh,

Madaan

2024

The Scientific Temper

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Purpose: This study aims to identify significant sources, uncover thematic trends, and explore emerging research fields by comprehensively examining work-related stress in the banking sector.Design/Methodology/Approach: A bibliometric analysis was done on a portfolio consisting of 175 articles obtained from the Scopus database. The methodology used in this study involves a chronological examination of the historical development of research, identification of significant sources and documents using citation analysis and emerging trends and themes within the field using bibliographic coupling and co-occurrence analysis.Findings: The study reveals extensive research on work-related stress in the banking sector, indicating its enduring relevance. The recent years, i.e., 2020, 2023 and 2022 observed a surge in research output due to a better understanding of employee well-being and industry dynamics. Authors from Asian countries such as China, India and Pakistan have been found productive in publishing research in this field. Emerging areas in this direction include job stress and turnover intention of employees, employee mental health and workplace effects.Practical Implications: The findings can be applied by regulators, policymakers and human resource managers to develop and implement interventions to alleviate stress among employees. Interdisciplinary collaborations among psychologists, economists, organizational behavior specialists, and healthcare professionals can result in holistic approaches to address psychological and structural stress determinants.Originality/Value: This study enhances the literature on work-related stress by conducting bibliometric analysis and developing a comprehensive understanding of the research area.

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What exists in academia on work stress in accounting professionals: a bibliometric analysis

Cited by 5 publications

References 122 publications

University-Industry Cooperation: A Peer-Reviewed Bibliometric Analysis

University-Industry Cooperation: A Peer-Reviewed Bibliometric Analysis

The Use of Generative AI in Learning and Its Influence on Students’ Academic Engagement in Noveleta Senior High School

Work-related stress among bank employees: A bibliometric analysis of research trends and patterns

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