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The Willingness and Challenges to Adopt HR Analytics among Small and Medium –Sized Enterprises

Vol 9 , Issue 1 , January - June 2023 | Pages: 26-36 | Research Paper  

https://doi.org/10.58419/gbs.v9i1.912303


Author Details ( * ) denotes Corresponding author

1. Uttam Kinange, Professor, Kousali Institute of Management Studies, Karnatak University Dharwad, Dharwad, Karnataka, India (uttam2020@gmail.com)
2. * Steffi Bhasme, Research Scholar, Kousali Institute of Management Studies, Karnatak University Dharwad, Dharwad, Karnataka, India (steffibphd22@gmail.com)
3. Arthur Fernandes, Professor, Kirloskar Institute of Management Studies, Harihar, All India Council of Technical Education (AICTE), New Delhi., Harihar, Karnataka, India (arthur.fernandes@kiams.ac.in)
4. Azhar Shaikh, Associate Professor, Kirloskar Institute of Management Studies, Pune, All India Council of Technical Education (AICTE), New Delhi., Pune, Maharashtra, India (azharshaheen@live.com)

The emergence of data-driven HR has been one of the largest business trends in recent years. HR has just started leveraging data and analytics, but the majority of other functions have been doing so, for some time. Large and high performing organizations are using HR Analytics for evidence-based decision-making. However, the MSMEs have been slow to adopt this innovation. Our nation's socioeconomic development relies heavily on MSMEs. MSMEs contribute 37.54 percent of the GDP in total. Hence it is important to know how the productivity may increase using data available. This study aims at understanding the willingness of small, and medium enterprises in adopting and applying HR analytics in their businesses. It attempts to examine the challenges faced by the SMEs to adopting data analytics for better decision making. This research is based on an empirical study on SMEs in the Hubli-Dharwad region. The application and use of HR analytics offers several substantial problems for small companies. The results of this study highlight the challenges SMEs have in adopting and utilising the benefits of HR Analytics.

Keywords

Human resources analytics, SME, Data, Innovation Adoption

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