Evaluating Influence of Artificial Intelligence on Human Resource Management Using PLS-SEM (Partial Least Squares-Structural Equation Modeling)

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dc.contributor.author Chakraborty, Smita
dc.contributor.author Giri, Arunangshu
dc.contributor.author Aich, Abanti
dc.contributor.author Biswas, Swatee
dc.date.accessioned 2025-02-20T09:30:12Z
dc.date.available 2025-02-20T09:30:12Z
dc.date.issued 2020-03
dc.identifier.issn 2277-8616
dc.identifier.uri http://digitalrepository.cipmlk.org/handle/1/651
dc.description.abstract In this competitive world, every kind of business requires Human Resource Management (HRM). It is an asset for improving the organizational performance. An organization becomes successful when it can meet the needs and demands of a consumer and to do so, organizations will have to adopt innovative HR practices. Soon, HRM will be moving away from its traditional administrative functions like recruitment, selection, appraisal to more advanced processes like Automation, Augmented Intelligence, Robotics and Artificial Intelligence (AI). These processes will completely reshape and redefine the work of HRM in various organizations. At present AI is the buzz word as it is completely transforming HRM, providing millions of jobs, producing easy method of hiring, providing innovative applications and advanced solutions to various problems. This paper helps to study the influence of artificial intelligence (AI) on Human Resource Management (HRM) using PLS-SEM in various sectors of West Bengal. en_US
dc.language.iso en en_US
dc.relation.ispartofseries INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH;6(30)
dc.subject Artificial Intelligence, Human Resource Management, Organizational Performance, PLS-SEM en_US
dc.title Evaluating Influence of Artificial Intelligence on Human Resource Management Using PLS-SEM (Partial Least Squares-Structural Equation Modeling) en_US
dc.type Article en_US


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