Theoretical Review of Drivers of Sustainable Corporations: The Function of Human Resource Analytics and Big Data Analytics

Authors

  • Kanwal Bilal Research Scholar, Faculty of Business and Management Sciences, The Superior University, Lahore, Punjab, Pakistan
  • Nadia Nasir Professor, Faculty of Business and Management Sciences, The Superior University, Lahore, Punjab, Pakistan

DOI:

https://doi.org/10.35484/pssr.2024(8-IV)50

Keywords:

Big Data Analytics, Human Resource Analytics, Organizational Performance, Sustainability

Abstract

This work is exploring the theoretical review on drivers of sustainable corporations. Organizations are being urged more and more to embrace methods that support prospective economic and social viability in addition to achieving ecological conservation as the world moves towards a more sustainable future. Human resource (HR) development is one crucial area where sustainable practices may become established. The integration of big data as well as personnel analytics in HR ventureshelp enhances the sustainability of an organization, employee well-being, and workforce performance. This is a conceptual paper that explains the role these analytical tools can play in enabling business sustainable practices. The application of such methods of analysis to promote ethical company behaviors is explored in this theoretical work. The primary considerations that assume real-world occupation choices, the contribution of information based on data to better making choices, and the more general outcomes for the viability of a company are all highlighted. Management professionals can use these technologies for predicting future trends, enhance employee well-being, optimization of workforce management, and data-driven decisions aligned to sustainability goals.

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Published

2024-12-21

Details

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How to Cite

Bilal, K., & Nasir, N. (2024). Theoretical Review of Drivers of Sustainable Corporations: The Function of Human Resource Analytics and Big Data Analytics. Pakistan Social Sciences Review, 8(4), 536–547. https://doi.org/10.35484/pssr.2024(8-IV)50