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The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources

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  • Hamilton, R.H.
  • Sodeman, William A.

Abstract

Big data analytics have transformed research in many fields, including the business areas of marketing, accounting and finance, and supply chain management. Yet, the discussion surrounding big data analytics in human resource management has primarily focused on job candidate screenings. In this article, we consider how significant strategic human capital questions can be addressed with big data analytics, enabling HR to enhance overall firm performance. We also examine how new data sources that help assess workforce performance in real time can assist in the identification and development of the knowledge stars that contribute to firm performance disproportionately as well as help reinforce firm capabilities. But in order for big data analytics to be successful in the HR field, regulatory and ethical challenges must also be addressed; these include privacy concerns and, in Europe, the General Data Protection Regulation (GDPR). We conclude by discussing how big data analytics can facilitate strategic change within HR and the organization as a whole.

Suggested Citation

  • Hamilton, R.H. & Sodeman, William A., 2020. "The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources," Business Horizons, Elsevier, vol. 63(1), pages 85-95.
    • Handle: RePEc:eee:bushor:v:63:y:2020:i:1:p:85-95
    DOI: 10.1016/j.bushor.2019.10.001
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    References listed on IDEAS

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    Cited by:

    1. Holwerda, Jacob A., 2021. "Big data? Big deal: Searching for big data’s performance effects in HR," Business Horizons, Elsevier, vol. 64(4), pages 391-399.
    2. Miglena Stoyanova, 2024. "Data Analysis To Improve Employee Productivity And Engagement," INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE "HUMAN RESOURCE MANAGEMENT", University of Economics - Varna, issue 1, pages 234-241.
    3. Sudhanshu Joshi & Manu Sharma, 2022. "Sustainable Performance through Digital Supply Chains in Industry 4.0 Era: Amidst the Pandemic Experience," Sustainability, MDPI, vol. 14(24), pages 1-25, December.
    4. Shet, Sateesh.V. & Poddar, Tanuj & Wamba Samuel, Fosso & Dwivedi, Yogesh K., 2021. "Examining the determinants of successful adoption of data analytics in human resource management – A framework for implications," Journal of Business Research, Elsevier, vol. 131(C), pages 311-326.
    5. 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).
    6. Ayan Chatterjee & Debmallya Chatterjee, 2024. "A Journey of Business Analytics in Improving Supply Chain Performance: A Systematic Review of Literature," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 49(2), pages 337-361, May.
    7. Li-Lun & Liu & Yao-Jen & Su, 2022. "Digital Transformation and Strategic Analysis of Human Resource Value," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(6), pages 1-6.
    8. Clotilde Coron, 2021. "Quantifying Human Resource Management: A Literature Review," Post-Print halshs-03212718, HAL.
    9. Maryia Zaitsava & Elona Marku & Maria Chiara Guardo & Azar Shahgholian, 2023. "A fine-grained perspective on big data knowledge creation: dimensions, insights, and mechanism from a pilot study," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(2), pages 547-573, June.
    10. Guangya Zhou & Helian Xu & Chuanzeng Jiang & Shiqi Deng & Liming Chen & Zhi Zhang, 2024. "Has the Digital Economy Improved the Urban Land Green Use Efficiency? Evidence from the National Big Data Comprehensive Pilot Zone Policy," Land, MDPI, vol. 13(7), pages 1-25, June.

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