HRA adoption via organizational analytics maturity: examining the role of institutional theory, resource-based view and diffusion of innovation

Despoina Ioakeimidou, Dimitrios Chatzoudes, Symeon Symeonidis and Prodromos Chatzoglou

International Journal of Manpower, 2023, vol. 45, issue 5, 958-983

Abstract: Purpose - This study aims to develop and test an original conceptual framework that examines the role of various factors borrowed from three theories (i.e. Institutional Theory, Resource-Based View and Diffusion of Innovation) in adopting Human Resource Analytics (HRA). Design/methodology/approach - A new conceptual framework (research model) is developed based on previous research and coherent theoretical arguments. Its factors are classified using the Technology–Organization–Environment (TOE) framework. Research hypotheses are tested using primary data collected from 152 managers of Greek organizations. Empirical data are analyzed using the “Structural Equation Modelling” (SEM) technique. Findings - The technological and organizational context proved extremely important in enhancing Organizational Analytics Maturity (OAM) and HRA adoption, while the environmental context did not. Relative advantage and top management support were found to significantly impact the adoption of HRA, while Information Technology (IT) infrastructure, human resource capabilities and top management support are crucial for increasing OAM. Overall, the latter is the most important factor in enhancing HRA adoption. Originality/value - This study contributes to the limited published research on HRA adoption while at the same time it can be used as a guideline for future research. The novel findings offer insights into the factors impacting OAM and HRA adoption.

Keywords: Human resource analytics (HRA); Big data; Institutional theory (INT); Resource based view (RBV); Diffusion of innovation (DOI); Organizational analytics maturity (OAM) (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ijmpps:ijm-10-2022-0496

DOI: 10.1108/IJM-10-2022-0496

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