Factors Influencing E-HRM Practices and Organisational Performance in it and it Es Industries
M. M. Shanmugapriya1, D. Venkatramaraju2

1M. M. Shanmugapriya, Research Scholar, Department of Management studies, Bharath Institute of Higher Education and Research, Selaiyur, Chennai (Tamil Nadu), India.

2Dr. D. Venkatramaraju, Research Guide, Department of Management Studies, Bharath Institute of Higher Education and Research, Selaiyur, Chennai (Tamil Nadu), India. 

Manuscript received on 03 October 2023 | Revised Manuscript received on 08 December 2023 | Manuscript Accepted on 15 December 2023 | Manuscript published on 30 December 2023 | PP: 1-12 | Volume-10 Issue-12, December 2023 | Retrieval Number: 100.1/ijies.D79331112423 | DOI: 10.35940/ijies.D7933.12101223

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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The purpose of this study was to assess the effectiveness of electronic H RM practices (E-H RM) in IT and IT ES companies from a multifaceted perspective Global worker are increasingly looking for things like excellent working conditions, sufficient opportunity for training and growth, and effective PERFMGMT systems. The long-term objectives of the company and employee expectations are balanced by human resource management… This study’s importance lies in the IT/IT ES sector’s necessity to implement E-H RM practices, specifically focusing on aspects such as payroll processing, employee self-service, recruitment, PERFMGMT, rewards, and L&D, as these significantly influence organizational performance. E-H RM practices have become preferable to manual HR processes due to their time efficiency, reduced storage and manpower demands, and improved process consistency. The IT sector has reaped numerous benefits from various applications, including HR practices, driving the adoption of E-H RM practices. These practices are simpler, cost-effective, and require fewer resources and time, offering advantages like accuracy, consistency, and centralized information storage. Both employers and employees have found E-H RM practices beneficial, and the quick accessibility of data and documents from remote locations further facilitates swift decision-making in business operations.

Keywords: E-H RM, Employees, Organisational Performance, Exploratory ‘FACTOR ANALYSIS’, Confirmatory ‘FACTOR ANALYSIS’
Scope of the Article: Machine Learning