DRIVERS & OUTCOMES OF HUMAN CAPITAL ANALYTICS

Authors

  • Misbah Faiz NUST Business School (NBS), National University of Science and Technology (NUST), Islamabad, Pakistan

DOI:

https://doi.org/10.20319/icssh.2024.302

Abstract

The current article analyzes human capital analytics and develops a model for the drivers and outcomes of human capital analytics. A total of 81 articles have been analyzed using content analysis and a model has been developed using systematic literature review. The model identifies four drivers and seven outcomes of human capital analytics. The drivers include organizational culture, employee hard & soft skills, employee competencies and skilled workforce. The outcomes include stronger inter-departmental relationships, improved employee experience and behaviour, knowledge-based decisions, improved company performance, provision of competitive edge, risk reduction and enhancement of strategic organizational capability. We see that human capital analytics is an emerging phenomenon and yet much literature does not exist on the phenomenon. Considering minimal exploration of HR data analytics and its hidden role in the company's performance, the area has been less approached. Our review addresses the mentioned shortcoming and provides a roadmap for the future research.

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Published

2024-03-15

How to Cite

Faiz, M. (2024). DRIVERS & OUTCOMES OF HUMAN CAPITAL ANALYTICS. PEOPLE: International Journal of Social Sciences, 302. https://doi.org/10.20319/icssh.2024.302