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Workforce management in operations: what enterprising communities can learn from this?

Title
Workforce management in operations: what enterprising communities can learn from this?
Type
Article in International Scientific Journal
Year
2023-11-23
Authors
Fernandes, CI
(Author)
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Ferreira, J
(Author)
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Veiga, PM
(Author)
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Journal
Vol. 17
Pages: 1467-1494
ISSN: 1750-6204
Indexing
Publicação em ISI Web of Knowledge ISI Web of Knowledge - 0 Citations
Publicação em Scopus Scopus - 0 Citations
Other information
Authenticus ID: P-00Y-08M
Abstract (EN): Purpose The purpose of this study is use a bibliometric analysis to explore the relational nature of knowledge creation in WFM in operations. Companies live under constant pressure to find the best ways to plan their workforce, and the workforce emangement (WFM) is one of the biggest challenges faced by managers. Relevant research on WFM in operations has been published in a several range of journals that vary in their scope and readership, and thus the academic contribution to the topic remains largely fragmented.Design/methodology/approach To address this gap, this review aims to map research on WFM in operations to understand where it comes from and where it is going and, therefore, provides opportunities for future work. This study combined two bibliometric approaches with manual document coding to examine the literature corpus of WFM in operations to draw a holistic picture of its different aspects.Findings Content and thematic analysis of the seminal studies resulted in the extraction of three key research themes: workforce cross-training, planning workforce mixed methods and individual workforce characteristics. The findings of this study further highlight the gaps in the WFM in operations literature and raise some research questions that warrant further academic investigation in the future.Originality/value Likewise, this study has important implications for practitioners who are likely to benefit from a holistic understanding of the different aspects of WFM in operations.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 28
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