| Big Data Approach and Human Resource Management Research: An Integrative Review and New Directions for Future Research |
Received:October 15, 2017 Revised:October 15, 2017 |
Key Words: human resource management research, big data, review and provocation |
| Author Name | Affiliation | | Yucheng Zhang | School of Economics and Management, Hebei University of Technology | | Shan Xu | Postdoctoral Research Station, Southwestern University of Finance and Economics | | Long Zhang* | School of Business Administration, Hunan University | | Mengxi Yang | Department of Leadership and Organization Management, School of Economics and Management, Tsinghua University | | Miles M. Yang | Macquarie University | | Jie Feng | School of Management and Labor Relations, Rutgers University |
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Abstract: |
| In a recent provocation series paper of Human Resource Management Journal, Angrave, Charlwood, Kirkpatrick, Lawrence, and Stuart (2016) have criticized that a lack of sufficient big data-based practices and research in human resource management (HRM) area has limited its advancement. Although Angrave et al. (2016) emphasized the importance of applying big data approach in HRM research, a clear guidance about how to integrate big data approach in HRM is absent. This review, therefore, examines the development, benefits, and characteristics of big data and how to apply big data approach in HRM research. In addition, it summarizes the definition and application of big data as well as a general procedure of conducting HRM research based on big data. It then discusses six methods and four platforms of conducting big data HRM research. Finally, it identifies eight potential topics ranging from micro, meso and macro levels of HRM research that can be studied through using big data approach. |
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