NAVIGATING HR ANALYTICS DRIVEN BY AI FOR JOB ENRICHMENT AND WORKPLACE PRODUCTIVITY IN INDIAN MNCS

Authors

  • DR. SANSKRUTI KADAM

Abstract

The Artificial Intelligence-based HR analytics can be used in Indian multinationals for the better utilisation of time and job enrichment, which can be derived from primary data inferences from the primary information collected at the end of last year (2021). This paper focused on the influence of the application of AI among line managers, data analysts, and HR managers by using the data collected from 65 HR managers of five MNCs of Maharashtra, India, and subjected them to regression and correlation under various scenarios. The study confirms that utilising AI is still pertinent to enhancing an HR's capability and making their role more efficient and automated and effectively improving job performance. In addition, it also discusses that the job performance can be made more efficient and effective by facilitating faster recruiting and better performance of the team, which will enhance organisational efficiency. With a strong positive connection between job enrichment and productivity, workplaces may be entering a job enrichment–productivity cycle, with increased autonomy through the use of AI resulting in tangible productivity improvements for the organisation. The results reveal that HR analytics with AI is a strategic necessity but a crucial need for Indian MNCs in the post-pandemic era to become resilient and agile. By providing empirical proof of AI's revolutionary influence in HR and articulating useful suggestions and future research areas, this study adds to the expanding body of literature.

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How to Cite

DR. SANSKRUTI KADAM. (2022). NAVIGATING HR ANALYTICS DRIVEN BY AI FOR JOB ENRICHMENT AND WORKPLACE PRODUCTIVITY IN INDIAN MNCS. TPM – Testing, Psychometrics, Methodology in Applied Psychology, 29(S2), 18–22. Retrieved from https://tpmap.org/submission/index.php/tpm/article/view/4540

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