AI-Powered HR: Enhancing Employee Experience and Engagement
Keywords:
Artificial Intelligence, HR Technology, Employee Experience, Employee Engagement, Systematic Analysis, Bibliometric Analysis, Workplace InnovationAbstract
Human Resources (HR) to optimize employee experience (EX) and engagement within organizations. Leveraging implications systematic analysis and bibliometric methodologies, this research aims to elucidate the current landscape, trends, and of AI-driven HR interventions on employee-centric outcomes.
The systematic analysis delves into the existing literature, identifying and synthesizing studies that highlight the multifaceted roles of AI in reshaping HR functions to foster enriched employee experiences. Furthermore, the bibliometric analysis offers a quantitative assessment of the scholarly publications, revealing patterns, key thematic clusters, and influential works in the domain of AI-powered HR and its impact on employee engagement.
Findings from this study demonstrate the evolving landscape of AI applications within HR, emphasizing its potential to revolutionize talent acquisition, performance management, learning and development, and overall workplace culture. Insights gleaned from the systematic review and bibliometric analysis offer a nuanced understanding of the prevalent trends, emergent themes, and future directions for research and practical implementation.
In conclusion, this research underscores the transformative capacity of AI-driven HR initiatives in cultivating a more engaging and fulfilling work environment for employees, providing valuable insights for HR professionals, researchers, and organizational leaders seeking to leverage technological advancements to enhance the employee experience.
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Alsaif, A., & Aksoy, M. S. (2023). AI-HRM: Artificial Intelligence in Human Resource Management: A Literature Review. Journal of Computing and Communication. https://doi.org/10.21608/jocc.2023.307053
Baldegger, R., Caon, M., Caon, M., & Sadiku, K. (2020). Correlation between Entrepreneurship Orientation and Implementation of AI in Human Resources Management (HRM). Technology Innovation Management Review. https://doi.org/10.22215/timreview/1348
Baldegger, R. J., Caon, M., Sadiku, K., & Spira, A. (2020). Correlation between Entrepreneurial Orientation and implementation of AI in Human Resource Management (HRM). Null. https://doi.org/null
Bankins, S., Formosa, P., Griep, Y., & Richards, D. (2022). AI Decision Making with Dignity? Contrasting Workers’ Justice Perceptions of Human and AI Decision Making in a Human Resource Management Context. Information Systems Frontiers. https://doi.org/10.1007/s10796-021-10223-8
Bettayeb, A., & Balbaa, M. (2023). Success Factors in Adopting AI in Human Resource Management in UAE Firms: Neutrosophic Analysis. International Journal of Neutrosophic Science. https://doi.org/10.54216/ijns.210315
Böhmer, N., & Schinnenburg, H. (2023). Critical exploration of AI-driven HRM to build up organizational capabilities. Employee Relations: The International Journal. https://doi.org/10.1108/er-04-2022-0202
Goswami, M., Jain, S., Alam, T., Deifalla, A., Ragab, A., & Khargotra, R. (2023). Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector. Frontiers in Pharmacology. https://doi.org/10.3389/fphar.2023.1215706
Park, H., Ahn, D., Hosanagar, K., & Lee, J. (2022). Designing Fair AI in Human Resource Management: Understanding Tensions Surrounding Algorithmic Evaluation and Envisioning Stakeholder-Centered Solutions. International Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3491102.3517672
Prikshat, V., Malik, A., & Budhwar, P. (2021). AI-augmented HRM: Antecedents, assimilation and multilevel consequences. Human Resource Management Review. https://doi.org/10.1016/j.hrmr.2021.100860
Rathore, S. P. S. (2023). The Impact of AI on Recruitment and Selection Processes: Analysing the role of AI in automating and enhancing recruitment and selection procedures. International Journal for Global Academic & Scientific Research. https://doi.org/10.55938/ijgasr.v2i2.50
Raharjo, T. J., Raharjo, T. J., & Harianingsih. (2019). The Effect of Motivation and Team Dynamic on Entrepreneurial Learning Success. KnE Social Sciences. https://doi.org/10.18502/kss.v3i18.4758
Renkema, M. (2021). AI, Digitalisation, and HRM: Foundations, Extensions, and New Directions on AI, Digitalisation, and HRM. New Directions in the Future of Work. https://doi.org/10.1108/978-1-80071-298-020211011
Sabil, S., Bangkara, B. A., Mogea, T., Niswan, E., & Timotius, E. (2023). Identification of HRM Improvement Strategy Using Artificial Intelligence in Modern Economic Development. International Journal of Professional Business Review. https://doi.org/10.26668/businessreview/2023.v8i6.1835
Saini, H., & Tarkar, P. (2022). Artificial Intelligence in Human Resource Practices With Challenges and Future Directions. Handbook of Research on Innovative Management Using AI in Industry 5.0. https://doi.org/10.4018/978-1-7998-8497-2.ch015
`Salunkhe, H. H., & Boralkar, M. (n.d.). Artificial Intelligence (AI) in Hrm (Human Resources Management): A Sentiment Analysis Approach. Null. https://doi.org/null
Saukkonen, J., Kreus, P., Obermayer, N., Ruíz, O. R., & Haaranen, M. (2019). AI, RPA, ML and other emerging technologies : anticipating adoption in the HRM field. Null. https://doi.org/null
Thakur, A., Hinge, P., & Adhegaonkar, V. (2023). Use of Artificial Intelligence (AI) in Recruitment and Selection. Social Science Research Network. https://doi.org/10.2139/ssrn.4452924
Upadhyay, A. K., Khandelwal, K., & Iyengar, J. (n.d.). AI Revolution in HRM: The New Scorecard. Null. https://doi.org/10.4135/9789354792861
Wang, L., & Zhou, Y. (2021). The Dark Side of AI-HRM on Employees Based on Algorithmic Features. Academy of Management Proceedings. https://doi.org/10.5465/ambpp.2021.14948abstract
Wang, T., & Lin, J. (2020). Research and application of practice teaching reform of HRM major under the background of AI. 2020 International Conference on Big Data and Informatization Education (ICBDIE). https://doi.org/10.1109/icbdie50010.2020.00079
Xiao, Q., Yan, J., & Bamber, G. J. (2023). How does AI-enabled HR analytics influence employee resilience: job crafting as a mediator and HRM system strength as a moderator. Person-Centered Review. https://doi.org/10.1108/pr-03-2023-0198
Yadav, P., Kollimath, U. S., Giramkar, S., Pisal, D., Badave, S., & Swamy, S. M. (2023a). HR 4.0: Role of AI in transforming HRM. 2023 3rd International Conference on Emerging Smart Technologies and Applications (ESmarTA). https://doi.org/10.1109/esmarta59349.2023.10293704
Yadav, P., Kollimath, U. S., Giramkar, S., Pisal, D., Badave, S., & Swamy, S. M. (2023b). Impact of Artificial Intelligence (AI) on Various Aspects of Human Resources Management (HRM) in India. 2023 3rd International Conference on Emerging Smart Technologies and Applications (ESmarTA). https://doi.org/10.1109/esmarta59349.2023.10293625
Zehir, C., Karaboga, T., & Başar, D. (2020). The Transformation of Human Resource Management and Its Impact on Overall Business Performance: Big Data Analytics and AI Technologies in Strategic HRM. Contributions to Management Science.https://doi.org/10.1007/978-3-030-
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