Artificial Intelligence-Driven HR Practices in SMEs: A PRISMA-Compliant Scoping Literature Review
Date Issued
2023-12-07
Author(s)
DOI
10.31410/LIMEN.S.P.2023.13
Abstract
Artificial intelligence (AI) is rapidly reshaping human resource
management (HRM) practices, extending its reach even to small and medium-sized enterprises (SMEs). Despite the prevalence of AI in HRM, its integration into the practices of SMEs, traditionally characterized by limited HR resources, remains an understudied area in scientific literature. A knowledge
gap was identified through a Scopus database search, revealing a lack of
comprehensive exploration into emerging trends related to AI’s impact on
hiring, skill assessment, bias mitigation, and time constraints in SMEs. This
study aims to address this gap by conducting a methodical analysis and
synthesis of existing scientific contributions on the adoption of AI in SMEs
for HR purposes. Employing a rigorous scoping literature review grounded
in the PRISMA protocol, the investigation focuses on peer-reviewed publications in English, indexed in the Scopus database. The findings, encompassing emerging publications, authors, key concepts, and avenues for future research, offer valuable insights for HR professionals, entrepreneurs, and the
scientific community. This study not only contributes to the understanding
of AI’s impact on grassroots HR processes in small organizations but also
provides practical guidance and recommendations for optimization and
enhancement.
management (HRM) practices, extending its reach even to small and medium-sized enterprises (SMEs). Despite the prevalence of AI in HRM, its integration into the practices of SMEs, traditionally characterized by limited HR resources, remains an understudied area in scientific literature. A knowledge
gap was identified through a Scopus database search, revealing a lack of
comprehensive exploration into emerging trends related to AI’s impact on
hiring, skill assessment, bias mitigation, and time constraints in SMEs. This
study aims to address this gap by conducting a methodical analysis and
synthesis of existing scientific contributions on the adoption of AI in SMEs
for HR purposes. Employing a rigorous scoping literature review grounded
in the PRISMA protocol, the investigation focuses on peer-reviewed publications in English, indexed in the Scopus database. The findings, encompassing emerging publications, authors, key concepts, and avenues for future research, offer valuable insights for HR professionals, entrepreneurs, and the
scientific community. This study not only contributes to the understanding
of AI’s impact on grassroots HR processes in small organizations but also
provides practical guidance and recommendations for optimization and
enhancement.
Subjects
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