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Developing human resource data risk management in the age of big data

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  • Calvard, Thomas Stephen
  • Jeske, Debora

Abstract

In recent years, a great deal of attention has been devoted to trying to understand the risk challenges that arise in information management, and most recently, challenges that arise due to big data. In this article, the complexities of big data for employers are explored, drawing on a risk management on Human Resources (HR) perspective and normal accident theory (NAT) to illustrate the evolving characteristics of these complexities. The paper concludes with a series of recommendations that focus on education, design in data collection, and risk management, in the hope that these recommendations enable employers to better anticipate and address emerging big data challenges.

Suggested Citation

  • Calvard, Thomas Stephen & Jeske, Debora, 2018. "Developing human resource data risk management in the age of big data," International Journal of Information Management, Elsevier, vol. 43(C), pages 159-164.
    • Handle: RePEc:eee:ininma:v:43:y:2018:i:c:p:159-164
    DOI: 10.1016/j.ijinfomgt.2018.07.011
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    Cited by:

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    2. Lanlan Wei & Peng Wang, 2022. "Risk management of data flow under cross-cultural english language understanding," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 1196-1204, December.
    3. Wang, Lijun & Zhou, Yu & Sanders, Karin & Marler, Janet H. & Zou, Yunqing, 2024. "Determinants of effective HR analytics Implementation: An In-Depth review and a dynamic framework for future research," Journal of Business Research, Elsevier, vol. 170(C).
    4. Na Li & Xiaohong Wang & Shaopeng Zhang, 2023. "Effects of digitization on enterprise growth performance: Mediating role of strategic change and moderating role of dynamic capability," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 1040-1053, March.
    5. Clotilde Coron, 2021. "Quantifying Human Resource Management: A Literature Review," Post-Print halshs-03212718, HAL.
    6. Magdalena Graczyk-Kucharska & Robert Olszewski & Gerhard-Wilhelm Weber, 2023. "The use of spatial data mining methods for modeling HR challenges of generation Z in greater Poland Region," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(1), pages 205-237, March.

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