Modeling challenges to implement HR analytics in IT sector using ISM


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Authors

DOI:

https://doi.org/10.15637/jlecon.2407

Keywords:

Human Resources Management, Information Technology,, Interpretive Structural Modeling

Abstract

This research paper delves into the intricate landscape of modeling challenges that hinder the integration of Human Resources (HR) analytics within the Information Technology (IT) sector. Employing a qualitative research methodology, the study conducts structured interviews to unravel the nuanced layers of impediments faced by organizations aspiring to harness the power of HR analytics. The research primarily employs Interpretive Structural Modeling (ISM) to map the interdependencies among these challenges, offering a comprehensive understanding of their hierarchical nature.

The findings of this study contribute significantly to the existing body of knowledge by identifying key challenges ranging from data privacy concerns to the integration of analytics into HR decision-making processes. By illuminating the intricacies of these challenges, the research aims to guide the creation of strategic frameworks capable of overcoming them. Ultimately, this study seeks to pave the way for the effective implementation of HR analytics in the IT sector, fostering a culture where data-driven insights drive organizational decisions and enhance workforce management. Keywords: HR Analytics, Challenges of Implementing HR analytics, HR in IT sector, ISM technique.

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References

ANGRAVE, D., CHARLWOOD, A., KIRKPATRICK, I., LAWRENCE, M. AND STUART, M. (2016), HR and analytics: why HR is set to fail the big data challenge, Human Resource Management Journal, Vol. 26, pp. 1-11.

FALLETTA, S. V., & COMBS, W. L. (2021). The HR analytics cycle: a seven-step process for building evidence-based and ethical HR analytics capabilities. Journal of Work-Applied Management, 13(1), 51-68.

KAKKAR, H & KAUSHIK, S, (2019), Barriers in Implementing HR Analytics – A Study of IT/ ITES Companies in India, International Journal of Economic Research, Vol 16, No. 1

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.

TOMAR, S., & GAUR, M. (2020). HR analytics in Business: Role, Opportunities, and Challenges of Using It. Journal of Xi’an University of Architecture & Technology, 12(7), 1299-1306.

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Published

2024-06-11

How to Cite

Zubair, A., & Erdoğdu, A. (2024). Modeling challenges to implement HR analytics in IT sector using ISM. JOURNAL OF LIFE ECONOMICS, 11(2), 49–60. https://doi.org/10.15637/jlecon.2407

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Section

Research Articles