Topics and trajectories of research on workplace learning
Bibliometrics and topic modelling
Dados Bibliográficos
| ID | 21458693 |
|---|---|
| Autores | Myunghyun Yoo (Hanyang University), Jaehyun Kim (0009-0001-4857-085X, Korea Productivity Center), Junghwan Kim (0000-0002-7275-769X, Texas A&M University), Chang Sung Jang (0000-0003-1013-1672, Korea Research Institute for Vocational Education and Training, autor correspondente) |
| Ano | 2026 |
| Volume | 48 |
| Fascículo | 1 |
| Páginas | 5-34 |
| Data de publicação | 2026-01-02 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Studies in Continuing Education (JOURNAL) |
| Identificadores do periódico | ISSN: 0158-037X • E-ISSN: 1470-126X |
| Editora | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/0158037x.2025.2581569 |
| OpenAlex | W4415775710 |
| Idioma | EN |
| Referências citadas | 81 |
This study provides a comprehensive analysis of the research landscape in workplace learning (WL) using bibliometric analysis and topic modelling techniques. A total of 932 peer-reviewed articles published between 1994 and 2023 were examined to identify the intellectual structure, thematic landscape, and emerging trends in the field. The bibliometric analysis revealed key findings, including annual production trends, influential authors, sources, collaborations, and the relationships between cited references, authors, and frequently occurring keywords. The topic modelling analysis uncovered 17 distinct topics, encompassing various aspects of learning in the workplace. A time-series analysis identified ‘Hot’ topics with increasing relevance, such as qualitative research methods, organisational change, and employee motivation, while traditional learning paradigms were classified as ‘Cold’ topics. The synthesis of the analyses highlights the multidisciplinary nature of WL research and the growing emphasis on the social and contextual dimensions of learning. Based on the findings, we also discussed suggestions for future research endeavours to capture the complexity of learning in diverse work settings. This study contributes to the advancement of WL research by providing valuable insights for researchers, practitioners, and policymakers, guiding the design and implementation of effective WL interventions, and fostering a culture of continuous learning in organisations
Bibliometrics · Content analysis · Higher education · Research methodology · Topic model · Computational and Text Analysis Methods · Qualitative Research Methods and Applications · scientometrics and bibliometrics research
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| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |