Promoting sustainable and human-centric industry 5.0: a thematic analysis of emerging research topics and opportunities
Sivarajah Rajumesh
Journal of Business and Socio-economic Development, 2023, vol. 4, issue 2, 111-126
Abstract:
Purpose - The study aims to explore the overall growth trend, top publishing countries, co-authorship and author keywords in the field of Industry 5.0. Design/methodology/approach - This study presents the outcomes of a bibliometric analysis conducted using VOSviewer software. The analysis retrieved data from the Scopus database, including citations, co-authors, keywords, bibliometric coupling and co-occurrence. Findings - The findings reveal a significant increase in publications and citations related to Industry 5.0 in recent years. China, the USA and India emerge as the leading countries driving research in this field. The co-authorship analysis indicates limited collaboration among authors, with only 48 out of 354 authors being linked through co-authorship. Through co-occurrence analysis, the investigation identifies the most frequently occurring keywords in the research, with “Industry 5.0” and “Industry 4.0” being the most frequently co-occurring keywords. The bibliographic coupling analysis identifies six clusters of research themes. Research limitations/implications - The study solely relies on data gathered from the Scopus database for analysis on a specific date. Therefore, data from other databases collected at different times may yield different observations and findings. Practical implications - This study enhances the knowledge of professionals and academia in Industry 5.0, enabling the professionals to efficiently and sustainably manage the sector. Originality/value - The bibliometric analysis presented in this study provides valuable insights into the contributions made by authors, keywords and co-authors to the field of Industry 5.0. Additionally, the thematic analysis summarized in this study is a novel contribution to the field.
Keywords: Industry 5.0; Bibliometric analysis; Sustainability; Human-centric; Artificial intelligence (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eme:jbsedp:jbsed-10-2022-0116
DOI: 10.1108/JBSED-10-2022-0116
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