Patrick Coolen , Sjoerd van den Heuvel , Karina Van De Voorde , Jaap Paauwe
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Understanding the adoption and institutionalization of workforce analytics: A systematic literature review and research agenda
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.
期刊介绍：
The Human Resource Management Review (HRMR) is a quarterly academic journal dedicated to publishing scholarly conceptual and theoretical articles in the field of human resource management and related disciplines such as industrial/organizational psychology, human capital, labor relations, and organizational behavior. HRMR encourages manuscripts that address micro-, macro-, or multi-level phenomena concerning the function and processes of human resource management. The journal publishes articles that offer fresh insights to inspire future theory development and empirical research. Critical evaluations of existing concepts, theories, models, and frameworks are also encouraged, as well as quantitative meta-analytical reviews that contribute to conceptual and theoretical understanding.
Subject areas appropriate for HRMR include (but are not limited to) Strategic Human Resource Management, International Human Resource Management, the nature and role of the human resource function in organizations, any specific Human Resource function or activity (e.g., Job Analysis, Job Design, Workforce Planning, Recruitment, Selection and Placement, Performance and Talent Management, Reward Systems, Training, Development, Careers, Safety and Health, Diversity, Fairness, Discrimination, Employment Law, Employee Relations, Labor Relations, Workforce Metrics, HR Analytics, HRM and Technology, Social issues and HRM, Separation and Retention), topics that influence or are influenced by human resource management activities (e.g., Climate, Culture, Change, Leadership and Power, Groups and Teams, Employee Attitudes and Behavior, Individual, team, and/or Organizational Performance), and HRM Research Methods.
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