Effectiveness Of Hris Practices In It Sector – A Study

Abstract

The study titled "Effectiveness of HRIS Practices in the IT Sector" conducted in Hyderabad district, Telangana State, aimed to investigate and identify key measures for enhancing the implementation of Human Resource Information Systems (HRIS) in the Information Technology (IT) industry. The primary objective was to assess how HRIS practices impact HR operations within the IT sector and discover ways to optimize their effectiveness. To achieve the study's objectives, primary data was collected and analyzed. The research employed both Neural analysis and Exploratory Factor Analysis (EFA) techniques. These methods were chosen to identify and prioritize critical factors influencing HRIS implementation in the IT sector within the specific context of Hyderabad, Telangana. The research findings revealed several crucial factors that significantly influence the effectiveness of HRIS practices in the IT industry. Two main factors stood out: "Generate performance reports" and "Centralize employee documents." These findings underscored the pivotal roles these factors play in improving HRIS effectiveness within the IT sector. Furthermore, the exploratory factor analysis highlighted additional important aspects, including the significance of maintaining accurate data, leveraging HRIS for employee feedback, and emphasizing electronic document management. These factors contribute to the establishment of a robust HRIS framework that aims to enhance employee performance. In conclusion, the study identified essential measures to enhance HRIS implementation within the IT sector. These measures include tailoring learning paths for employees, integrating real-time data analytics, and implementing effective feedback mechanisms. By adopting these strategies, HRIS in the IT sector can be optimized to provide personalized skill development opportunities, resource efficiency, and timely feedback to employees. Ultimately, this leads to improved overall performance within technology-driven organizations.