TY - JOUR
T1 - Understanding the adoption and institutionalization of workforce analytics
T2 - A systematic literature review and research agenda
AU - Coolen, P.
AU - van den Heuvel, S.
AU - van de Voorde, K.
AU - Paauwe, J.
PY - 2023
Y1 - 2023
N2 - Data analytics plays a crucial role in enhancing organizational decision-making. Various organizational disciplines have already embraced data analytics. However, human resources management is lagging in data-driven decision-making and, specifically, workforce analytics. Although an increasing number of studies explore the diffusion of workforce analytics, our understanding of why organizations decide to adopt workforce analytics and how organizations further institutionalize workforce analytics remains limited. Taking an HRM innovation and contextualized perspective, this systematic literature review aims to provide in-depth knowledge on factors driving workforce analytics adoption and institutionalization. The results, including relevant learnings from business analytics research, show the importance of competitive, institutional, heritage mechanisms, key decision-makers and actors, and HRM fit-related factors in the diffusion process. Based on the results of this review, various avenues for future research are presented. Additionally, insights from this literature review can help decision-makers allocate their scarce resources effectively and efficiently to cultivate workforce analytics as an organizational practice.
AB - Data analytics plays a crucial role in enhancing organizational decision-making. Various organizational disciplines have already embraced data analytics. However, human resources management is lagging in data-driven decision-making and, specifically, workforce analytics. Although an increasing number of studies explore the diffusion of workforce analytics, our understanding of why organizations decide to adopt workforce analytics and how organizations further institutionalize workforce analytics remains limited. Taking an HRM innovation and contextualized perspective, this systematic literature review aims to provide in-depth knowledge on factors driving workforce analytics adoption and institutionalization. The results, including relevant learnings from business analytics research, show the importance of competitive, institutional, heritage mechanisms, key decision-makers and actors, and HRM fit-related factors in the diffusion process. Based on the results of this review, various avenues for future research are presented. Additionally, insights from this literature review can help decision-makers allocate their scarce resources effectively and efficiently to cultivate workforce analytics as an organizational practice.
U2 - 10.1016/j.hrmr.2023.100985
DO - 10.1016/j.hrmr.2023.100985
M3 - Article
SN - 0954-5395
VL - 33
JO - Human Resource Management Journal
JF - Human Resource Management Journal
IS - 4
M1 - 100985
ER -