Abstract
The current research focuses on the study of stress in software employees using multi-grade fuzzy (MGF) approach and importance-performance analysis (IPA). Stress is a common factor in most of the IT sector employees. A model for assessing the stress was developed by applying MGF. A software company has been selected as a model to perform employee stress assessment by applying MGF to obtain the stress index. The result of the application had indicated significant employee stress in the case study. The areas which need immediate attention to alleviate employee stress had been identified and suggested using the IPA analysis. The current framework developed would help to measure the stress in other software organizations and help them to provide attention to their weaker attributes to overcome employee stress.
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Sreedharshini, S., Suresh, M., Lakshmi Priyadarsini, S. (2021). Workplace Stress Assessment of Software Employees Using Multi-grade Fuzzy and Importance Performance Analysis. In: Jeena Jacob, I., Kolandapalayam Shanmugam, S., Piramuthu, S., Falkowski-Gilski, P. (eds) Data Intelligence and Cognitive Informatics. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-8530-2_35
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DOI: https://doi.org/10.1007/978-981-15-8530-2_35
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