Human Resource Analytics and Evidence-Based Workforce Planning

Authors

  • Nazhira Nindya Padma Hanuun Yayasan Kreatif Indonesia Emas Author
  • Anggun Yolistina Universitas Sangga Buana YPKP Author

Keywords:

human, resource, analytics, evidence-based, workforce, planning, management, integrative review

Abstract

This integrative evidence review examines human resource analytics and evidence-based workforce planning by asking how human resource analytics is connected to evidence-based workforce planning and which conditions determine whether that connection becomes operationally meaningful. The article synthesizes peer-reviewed and institutional literature relevant to people, leadership, work-design, and organizational change systems, emphasizing mechanisms, boundary conditions, and measurement choices rather than a universal average effect. Evidence associated with Edmondson et al., 2014 and Marler et al., 2017 is read with the wider source set to distinguish formal adoption from effective use, short-term response from durable capability, and observed association from causal interpretation. The synthesis identifies complementary roles for work design and autonomy, workforce diversity, and governance or coordination routines. No survey, interview, experiment, proprietary dataset, or regression estimate is represented as having been collected for this conceptual review.

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References

Edmondson, A. C., & Lei, Z. (2014). Psychological safety: The history, renaissance, and future of an interpersonal construct. Annual Review of Organizational Psychology and Organizational Behavior, 1, 23-43. https://doi.org/10.1146/annurev-orgpsych-031413-091305

Marler, J. H., & Boudreau, J. W. (2017). An evidence-based review of HR Analytics. The International Journal of Human Resource Management, 28(1), 3-26. https://doi.org/10.1080/09585192.2016.1244699

Doz, Y. L., & Kosonen, M. (2010). Embedding strategic agility: A leadership agenda for accelerating business model renewal. Long Range Planning, 43(2-3), 370-382. https://doi.org/10.1016/j.lrp.2009.07.006

Kraus, S., Durst, S., Ferreira, J. J., Veiga, P., Kailer, N., & Weinmann, A. (2022). Digital transformation in business and management research: An overview of the current status quo. International Journal of Information Management, 63, 102466. https://doi.org/10.1016/j.ijinfomgt.2021.102466

Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889-901. https://doi.org/10.1016/j.jbusres.2019.09.022

World Economic Forum. (2023). The Future of Jobs Report 2023. https://www.weforum.org/publications/the-future-of-jobs-report-2023/

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Published

2026-09-29

How to Cite

Human Resource Analytics and Evidence-Based Workforce Planning. (2026). Journal of Economics, Accounting, Business, Management, Engineering and Society, 2(6). https://kisainstitute.com/index.php/kisainstitute/article/view/134

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