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Human resource analytics adoption: a framework-based analysis, fuzzy Delphi method and fuzzy SWARA

Mona Kardani malekinezhad et al.

Journal of Advances in Management Research2025https://doi.org/10.1108/jamr-05-2024-0181article
AJG 1
Weight
0.52

What the paper says

Purpose Human resource analytics (HRA) has recently received attention. However, its literature remains unknown and scattered due to both limited conceptual lenses and limited classification. So, this study is conducted to provide a comprehensive research analysis in this field. Design/methodology/approach Accordingly, 107 HRA studies, which were collected according to the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) in the last 14 years (2010–2023), were analyzed in the first using the theory-context-characteristics-methods step to examine the evolution of HRA research. The study also develops a conceptual framework based on socio-technical system theory that shows the antecedents and outcomes of HRA adoption. In the second step, fuzzy Delphi and fuzzy step-wise weight assessment ratio analysis techniques were used to validate and refine the antecedents and outcomes obtained from the first step in such a way that experts’ opinions can be used and the existing knowledge body can be expanded. Findings In total, 30 antecedents and outcomes were confirmed based on the consensus of experts. Senior management support was identified as the most important antecedent and achieving organizational strategic outcomes as the most important outcomes of HRA adoption. Originality/value The study maps the current state of HRA studies, identifies directions for future studies by providing a state-of-the-art review of theories, antecedents, outcomes, contexts and methodologies and proposes a framework for HR managers and professionals to apply.

7 citations

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https://doi.org/https://doi.org/10.1108/jamr-05-2024-0181

Or copy a formatted citation

@article{mona2025,
  title        = {{Human resource analytics adoption: a framework-based analysis, fuzzy Delphi method and fuzzy SWARA}},
  author       = {Mona Kardani malekinezhad et al.},
  journal      = {Journal of Advances in Management Research},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1108/jamr-05-2024-0181},
}

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Human resource analytics adoption: a framework-based analysis, fuzzy Delphi method and fuzzy SWARA

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Evidence weight

0.52

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.47 × 0.4 = 0.19
M · momentum0.68 × 0.15 = 0.10
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.