The Transformation of Human Resource Management and Its Impact on Overall Business Performance: Big Data Analytics and AI Technologies in Strategic HRM

Big data and artificial intelligence (AI) have become quite compelling—and relevant, ideally—to organizations and the consulting services that help manage them. Researchers and practitioners in industrial-organizational psychology (IOP) and human resource management (HRM) can add significant value to big data and AI by offering their substantive expertise in how workforce-relevant data are measured and analyzed and how big data results are professionally, legally, and ethically interpreted and implemented by organizational decision makers, employees, policymakers, and other stakeholders in the employment arena. This article provides a perspective and framework for big data relevant to IOP and HRM that include both micro issues (e.g., linking data sources, decisions about which data to include, big data analytics) and macro issues (e.g., changing nature of big data, developing big data teams, educating professionals and graduate students, ethical and legal considerations). Ultimately, we strongly believe that IOP and HRM researchers and practitioners will become increasingly valuable for their contributions to the substance, technologies, algorithms, and communities that address big data, AI, and machine learning problems and applications in organizations relevant to their expertise.

Download Full-text

Big Data Analytics in Human Resource Management: Automated Decision-Making Processes, Predictive Hiring Algorithms, and Cutting-Edge Workplace Surveillance Technologies Social Sciences, Sociology, Management and complex organizations

Psychosociological Issues in Human Resource Management ◽

10.22381/pihrm7120196 ◽

2019 ◽

Vol 7 (2) ◽

pp. 37

Keyword(s):

Social Sciences ◽

Decision Making ◽

Big Data ◽

Human Resource Management ◽

Human Resource ◽

Data Analytics ◽

Big Data Analytics ◽

Decision Making Processes ◽

Automated Decision Making ◽

Workplace Surveillance

Download Full-text

Intrapreneurship in the digital era: driven by big data and human resource management?

Chinese Management Studies ◽

10.1108/cms-07-2020-0282 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Wenhai Wan ◽

Longjun Liu

Keyword(s):

Big Data ◽

Resource Management ◽

Human Resource Management ◽

Human Resource ◽

Business Performance ◽

Senior Managers ◽

Content Type ◽

Mediating Role ◽

Digital Era ◽

And Performance

Purpose This study aims to investigate whether big data enabling (BDE) and empowerment-focused human resource management (EHRM) can effectively promote employee intrapreneurship and their effects on platform enterprises’ innovation performance. The paper also examines the contexts under which employee intrapreneurship may affect business performance. Design/methodology/approach Data were collected from 155 platform enterprises in China in the form of questionnaires. Participants were mainly middle and senior managers with a comprehensive grasp of the enterprises’ information. Findings The results indicated that BDE, EHRM and their synergy positively influenced employee intrapreneurship, which could potentially extend to enterprise performance. Specifically, employee intrapreneurship played a partial mediating role between BDE, EHRM and performance, and a whole mediating role between synergy and performance. Finally, platform strategic flexibility played a positive moderating role between employee intrapreneurship and performance. Practical implications Platform enterprises should focus on the construction and utilization of big data and EHRM to stimulate organizational vitality. They also need to encourage employees to start businesses and build more flexible strategies to adapt to the dynamic economic environment. Originality/value This is an empirical study on the effect mechanism of big data and HRM on employee intrapreneurship and platform enterprises’ performance in China. The paper combined big data, HRM and employee intrapreneurship, which broke through the previous research on enterprise entrepreneurship and social entrepreneurship. The findings guide platform enterprises to stimulate organizational vitality and achieve better performance in the digital era.

Download Full-text