Leveraging Technology and AI in Talent Acquisition: Analysing their Impact on Employee Engagement and Satisfaction in Leading IT Firms in Cochin
Abstract: Integration of advanced technologies and artificial intelligence has turned recruitment into an effortless process. Modern talent acquisition which is done with the help of technology has revolutionized the impacts of organizational effectiveness when compared to traditional recruitment methods. Various processes including hiring, improving candidate-job matching, and enabling data-driven decision-making help in attracting top talents to the organisation. Impact of technology in the talent acquisition process and its effect on employee engagement and satisfaction is studied here. The study is focused on TCS, Wipro, and CTS. This research investigates how integrating Artificial Intelligence and Human Resource Information Systems (HRIS) along with other technology has an impact of effectiveness of talent management. Effectiveness of various technologies in reducing hiring time, increasing recruitment accuracy and fostering employee satisfaction is also examined. A mixed-methods approach includes quantitative data collected from surveys on employee satisfaction and insights from HR professionals is taken for the study. These findings provides insights into the use of HRIS and AI-driven analytics. The recruitment using digital platforms helps improving HR practices in the organization. The study focuses on role of HR strategies that are enhanced with technology in creating a competitive edge for an organization. It focuses on practices and space for improvement to maximize employee engagement and organizational success mainly in IT organisations. Keywords: Artificial Intelligence, Recruitment, Talent Acquisition, Employee Engagement, Employee Satisfaction. JEL Classification Number: M1
Institutions
- Tamil Nadu Agricultural University (IN)
- Orthopaedic Research Group (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-25
- DOI
- https://doi.org/10.5281/zenodo.15283954
- Primary Topic
- Adipokines, Inflammation, and Metabolic Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00