Human Capital Analytics
by Deepa Gupta, Mukul Gupta, Pawan Budhwar, Jim Westerman, Rajesh Kumar Dhanaraj, Balamurugan Balusamy
6Investigating the Transformative Effects of AI, Machine Learning, and Robotics on Human Capital Analytics - An Empirical Study
Gagandeep1*, Jyoti Verma1 and Deepa Gupta2
1Chitkara Business School, Chitkara University, Rajpura, Punjab, India
2GL Bajaj Institute of Management, Greater Noida, Uttar Pradesh, India
Abstract
A statistical approach referred to as structural equation modeling (SEM) is green for reading component relationships. SEM is used in human aid analytics to explore how AI, device mastering, and robotics affect a group of workers’ dynamics. This observation makes use of SEM to have a look at how the era is progressing and the way it can gain personnel control. This equation modeling has a look at examining the direct and indirect results of robotics, AI, and systems gaining knowledge of human resource analytics in expertise recruiting, improvement, and retention. SEM is used to explore the complicated relationship between generation and human useful resource evaluation. The upward thrust of robotics, AI, and systems has altered human capital control. However, more empirical investigations are needed to determine how technologies affect HR analytics. SEM may drive this research to find relationships and help firms optimize their workforce initiatives. This study analyzes data using SEM. The survey included 470 managers and HR experts. Information was collected using surveys. Resource analysis and staff performance data were used for technology adoption research. ...
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