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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.
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Stored only when both papers are in the corpus — 2 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.