Integrating artificial intelligence into a talent management model to increase the work engagement and performance of enterprises

The purpose of the paper is to create a multidimensional talent management model with embedded aspects of artificial intelligence in the human resource processes to increase employees' engagement and performance of the enterprise. The research was implemented on a sample of 317 managers/owners...

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Main Authors: Maja Rožman, Dijana Oreški, Polona Tominc
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1014434/full
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author Maja Rožman
Dijana Oreški
Polona Tominc
author_facet Maja Rožman
Dijana Oreški
Polona Tominc
author_sort Maja Rožman
collection DOAJ
description The purpose of the paper is to create a multidimensional talent management model with embedded aspects of artificial intelligence in the human resource processes to increase employees' engagement and performance of the enterprise. The research was implemented on a sample of 317 managers/owners in Slovenian enterprises. Multidimensional constructs of the model include several aspects of artificial intelligence implementation in the organization's activities related to human resource management in the field of talent management, especially in the process of acquiring and retaining talented employees, appropriate training and development of employees, organizational culture, leadership, and reducing the workload of employees, employee engagement and performance of the enterprise. The results show that AI supported acquiring and retaining a talented employees, AI supported appropriate training and development of employees, appropriate teams, AI supported organizational culture, AI supported leadership, reducing the workload of employees with AI have a positive effect on performance of the enterprise and employee engagement. The results will help managers or owners create a successful work environment by implementing artificial intelligence in the enterprise, leading to increased employee engagement and performance of the enterprise. Namely, our results contribute to the efficient implementation of artificial intelligence into an enterprise and give owners or top managers a broad insight into the various aspects that must be taken into account in business management in order to increase employee engagement and enterprise’s competitive advantage.
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spelling doaj.art-84f6b8d42a324f38a97990c4a2f0dac72022-12-22T03:46:13ZengFrontiers Media S.A.Frontiers in Psychology1664-10782022-11-011310.3389/fpsyg.2022.10144341014434Integrating artificial intelligence into a talent management model to increase the work engagement and performance of enterprisesMaja Rožman0Dijana Oreški1Polona Tominc2Faculty of Economics and Business, University of Maribor, Maribor, SloveniaFaculty of Organization and Informatics, University of Zagreb, Zagreb, CroatiaFaculty of Economics and Business, University of Maribor, Maribor, SloveniaThe purpose of the paper is to create a multidimensional talent management model with embedded aspects of artificial intelligence in the human resource processes to increase employees' engagement and performance of the enterprise. The research was implemented on a sample of 317 managers/owners in Slovenian enterprises. Multidimensional constructs of the model include several aspects of artificial intelligence implementation in the organization's activities related to human resource management in the field of talent management, especially in the process of acquiring and retaining talented employees, appropriate training and development of employees, organizational culture, leadership, and reducing the workload of employees, employee engagement and performance of the enterprise. The results show that AI supported acquiring and retaining a talented employees, AI supported appropriate training and development of employees, appropriate teams, AI supported organizational culture, AI supported leadership, reducing the workload of employees with AI have a positive effect on performance of the enterprise and employee engagement. The results will help managers or owners create a successful work environment by implementing artificial intelligence in the enterprise, leading to increased employee engagement and performance of the enterprise. Namely, our results contribute to the efficient implementation of artificial intelligence into an enterprise and give owners or top managers a broad insight into the various aspects that must be taken into account in business management in order to increase employee engagement and enterprise’s competitive advantage.https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1014434/fullartificial intelligencetalent managementemployeesemployee engagementperformance of the company
spellingShingle Maja Rožman
Dijana Oreški
Polona Tominc
Integrating artificial intelligence into a talent management model to increase the work engagement and performance of enterprises
Frontiers in Psychology
artificial intelligence
talent management
employees
employee engagement
performance of the company
title Integrating artificial intelligence into a talent management model to increase the work engagement and performance of enterprises
title_full Integrating artificial intelligence into a talent management model to increase the work engagement and performance of enterprises
title_fullStr Integrating artificial intelligence into a talent management model to increase the work engagement and performance of enterprises
title_full_unstemmed Integrating artificial intelligence into a talent management model to increase the work engagement and performance of enterprises
title_short Integrating artificial intelligence into a talent management model to increase the work engagement and performance of enterprises
title_sort integrating artificial intelligence into a talent management model to increase the work engagement and performance of enterprises
topic artificial intelligence
talent management
employees
employee engagement
performance of the company
url https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1014434/full
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