AI's Input to Employee Motivation Particularly in the Framework of Ornamental Employee Rendezvous and General Organizational Performance

Artificial Intelligence (AI) is empowering businesses with a range of new capabilities to create autonomous systems that essentially deal directly with end users and make independent decisions without human intervention. In doing so, AI and autonomous systems aim to simulate human intelligence, and incorporate human-like traits such as reasoning, perception, problem solving and planning into machines (Kaftzan, 2017). Artificial intelligence technologies have been around for more than three decades, but their true potential is being seen only now due to the availability of other ecosystem parameters like high-speed telecommunication, enhanced computing power and availability of a large amount of data. This study examines the transformative impact of artificial intelligence (AI) integration in e-HRM (eHRM) on improving employee performance and organizational productivity. The study explores the innovative applications of artificial intelligence in e-HRM and its profound impact on HR practices and employee development. The main goal is to find out how artificial intelligence-based e-HRM change traditional HR processes, focusing mainly on their impact on employee performance indicators and overall organizational efficiency. By analyzing the integration of AI and HR, this study illuminates the complexity of this technological fusion and its impact on modern workplaces. The descriptive analytical strategy was employed in the study to attain the research objectives by utilizing primary and secondary data. A structured questionnaire was prepared and disseminated on employees of the study organization, and then analysed using SPSS techniques such as Pearson Correlation, Cronbach Alpha coefficient, simple and multiple regressions to assess the study hypotheses. The study created a literature review that addressed the main subtopics linked with computerised HRM and its relationship to employee performance. Finally, the study's major findings demonstrated that the AI-Driven e-HRM system components had a considerable positive effect on improving various HRM practises, and that AI-Driven e-HRM helps organisations achieve their goals and develop their employees.

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Publication Details

Journal
International Journal of Drug Delivery Technology
Published
2026-11-03
DOI
https://doi.org/10.25258/ijddt.16.86s.159
Primary Topic
AI and HR Technologies
Type
article
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article

AI's Input to Employee Motivation Particularly in the Framework of Ornamental Employee Rendezvous and General Organizational Performance

Andrews N, A. Vinayagam
International Journal of Drug Delivery Technology
AI and HR Technologies
article

AI's Input to Employee Motivation Particularly in the Framework of Ornamental Employee Rendezvous and General Organizational Performance

Andrews N, A. Vinayagam
article en

Abstract

Artificial Intelligence (AI) is empowering businesses with a range of new capabilities to create autonomous systems that essentially deal directly with end users and make independent decisions without human intervention. In doing so, AI and autonomous systems aim to simulate human intelligence, and incorporate human-like traits such as reasoning, perception, problem solving and planning into machines (Kaftzan, 2017). Artificial intelligence technologies have been around for more than three decades, but their true potential is being seen only now due to the availability of other ecosystem parameters like high-speed telecommunication, enhanced computing power and availability of a large amount of data. This study examines the transformative impact of artificial intelligence (AI) integration in e-HRM (eHRM) on improving employee performance and organizational productivity. The study explores the innovative applications of artificial intelligence in e-HRM and its profound impact on HR practices and employee development. The main goal is to find out how artificial intelligence-based e-HRM change traditional HR processes, focusing mainly on their impact on employee performance indicators and overall organizational efficiency. By analyzing the integration of AI and HR, this study illuminates the complexity of this technological fusion and its impact on modern workplaces. The descriptive analytical strategy was employed in the study to attain the research objectives by utilizing primary and secondary data. A structured questionnaire was prepared and disseminated on employees of the study organization, and then analysed using SPSS techniques such as Pearson Correlation, Cronbach Alpha coefficient, simple and multiple regressions to assess the study hypotheses. The study created a literature review that addressed the main subtopics linked with computerised HRM and its relationship to employee performance. Finally, the study's major findings demonstrated that the AI-Driven e-HRM system components had a considerable positive effect on improving various HRM practises, and that AI-Driven e-HRM helps organisations achieve their goals and develop their employees.

International Journal of Drug Delivery TechnologyVol. 16(86s)
Vels University (IN)
Openalex Percentile: Top 9%
AI and HR Technologies
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