Evaluating the Impact of Remote Work Benefits on Employee Performance and Retention in IT Companies

D, Anitha Kumari and Purohit, Tanushri and Venkareddy, Chitkala and Giri, Pratibha and Gayathri, R and Babu, M. Dinesh (2026) Evaluating the Impact of Remote Work Benefits on Employee Performance and Retention in IT Companies. In: Advances in Computation, Communication and Information Technology (ICAICCIT), 31 October 2025 - 01 November 2025.

[thumbnail of Evaluating_the_Impact_of_Remote_Work_Benefits_on_Employee_Performance_and_Retention_in_IT_Companies (1).pdf] Text
Evaluating_the_Impact_of_Remote_Work_Benefits_on_Employee_Performance_and_Retention_in_IT_Companies (1).pdf

Download (533kB)

Abstract

The COVID-19 pandemic and other global events that changed the way people work have made remote work more common, especially in IT companies. More and more businesses are using remote employee benefits (REB) to keep good workers, boost productivity, and make people happier at work. Wellness programs, technology allowances, and the option to work flexible hours are all part of this group of benefits. There isn't much real-world proof of how certain REBs affect employee outcomes in IT companies, such as performance, engagement, and turnover rates, even though they are widely used. This study uses a combination of MultiCriteria Decision-Making (MCDM) and other methods to find out how a number of REB affect things. To be more specific, the Analytic Hierarchy Process (AHP) and Fuzzy Logic are used together. The survey had 250 workers from five different multinational information technology companies. The hybrid AHP-Fuzzy model found that the best things for employees to do their jobs better and stay with the company the longest were flexible work hours (0.35), mental health support (0.27), and remote infrastructure allowances (0.21). In comparison, traditional benefits like travel allowances and perks for physical workspaces didn't have as big of an effect. The proposed method was much better than the standard Likert scale and linear regression analysis at giving results that were both accurate and easy to understand.

Item Type: Conference or Workshop Item (Paper)
Subjects: Management Studies > Management
Management Studies > Organizational Behavior
Domains: Management Studies
Depositing User: Mr IR Admin
Date Deposited: 10 May 2026 11:44
Last Modified: 10 May 2026 11:44
URI: https://ir.vistas.ac.in/id/eprint/14982

Actions (login required)

View Item
View Item