Fuzzy Based Model for Mitigating Employee Attrition

Nida Hasib, Syed Wajahat Abbas Rizvi, Vinodani Katiyar

2025

Abstract

Employee attrition is a major concern for IT firms in today's corporate environment. Aside from the loss of human resources, employee turnover also diminishes the organization's ability to use the expertise and revenue-generating potential of those individuals. This study proposes a fuzzy logic-based phase-wise Model for Mitigating Employee Attrition (MMEA) that evaluates employee attrition at each stage of the software development life cycle using the most pertinent risk measures. The research has made use of the fuzzy inference process power in creating a model based on the anticipated and reduced staff attrition. Using data from sixteen actual software projects, the suggested model's predictive accuracy is confirmed. The MMEA model developed as per the guidelines of the proposed framework may help software professionals to take appropriate corrective measures to predict and reduce employee attrition during software development life cycle for efficient and accurate software development process in IT sector. By giving management of the organization the ability to proactively address attrition-related issues and make long-term strategic decisions that benefit the company, the model effectively maximizes staff retention, according to the research. Our results produced proof that the alternate strategy was valid. As a result, managers and companies may find a more practical tool in the used method for evaluating employee decline.

Paper Citation

in Harvard Style

Hasib N., Rizvi S. and Katiyar V. (2025). Fuzzy Based Model for Mitigating Employee Attrition. In Proceedings of the 7th International Conference on Finance, Economics, Management and IT Business - Volume 1: FEMIB; ISBN 978-989-758-748-1, SciTePress, pages 105-117. DOI: 10.5220/0013460500003956

in Bibtex Style

@conference{femib25,
author={Nida Hasib and Syed Wajahat Rizvi and Vinodani Katiyar},
title={Fuzzy Based Model for Mitigating Employee Attrition},
booktitle={Proceedings of the 7th International Conference on Finance, Economics, Management and IT Business - Volume 1: FEMIB},
year={2025},
pages={105-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013460500003956},
isbn={978-989-758-748-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Finance, Economics, Management and IT Business - Volume 1: FEMIB
TI - Fuzzy Based Model for Mitigating Employee Attrition
SN - 978-989-758-748-1
AU - Hasib N.
AU - Rizvi S.
AU - Katiyar V.
PY - 2025
SP - 105
EP - 117
DO - 10.5220/0013460500003956
PB - SciTePress