Multi-grade fuzzy assessment framework for software professionals in work-from-home mode during and post-COVID-19 era

Abstract

The pandemic novel Coronavirus disease and the resulting lockdowns have contributed to major economic disturbances around the world, forcing organisations to extend the work-from-home (WFH) option to their employees wherever feasible. The current major challenge of this option is maintaining the efficiency and productivity of the employees across the organisations. It is therefore important to understand the impact of this make-shift arrangement of WFH policy and their underlying effects that may affect the efficiency of employees and hence their output levels. This is a distinctive approach to develop a unique framework for efficiency index computation by evaluating the efficiency levels of WFH mode in software organisations using multi-grade fuzzy approach and importance–performance analysis. In turn, this would help to determine the crucial attributes that require improvement to increase the efficiency levels of employees concerned. In this study, a case project has been assessed and it was observed that the efficiency index of WFH accounts to 4.92, which is in between the range of (4.01–6) specified as ‘Efficient’. The framework can be used on a periodic basis to help software organisations to continuously improve their WFH efficiency level.

Validez de contenidos por expertos en gestión del talento humano: Estrategias frente a la pandemia

“…Las estrategias con mayor aceptación fueron la implementación de un programa de reducción de estrés laboral y el desarrollo de un programa de compensación no económica, apoyando lo manifestado por Rahm et al (como se citó en Moscoso y Salgado, 2021), Lorenzo y Díaz (como se citó en Herrera y Antúnez, 2021), Raza et al (2017) y Salvador et al (2021. Esta situación congrue con los problemas que ha potenciado la COVID-19 ligados a la generación de estrés, traumas y otras patologías emocionales que se originan por el cambio drástico de la forma de trabajo y el propio contexto de la pandemia (Abdelghani et al, 2020;Kumar et al, 2021;Martí et al, 2021;Suresh y Gopakumar, 2021;Thron et al, 2021).…”

Assessment of COVID-19 prevention and protection measures in hospitals

“…This paper develops Covid-19 preventive and safety measures assessment framework using multi-grade fuzzy. This methodology is well known and simple to compute index value, and it's extensively applied in the service sector ( Suresh and Gopakumar, 2021 ; Ranjitha et al, 2022 ). Multi Grade Fuzzy approach has been increasingly popular in the field of operations management ( Subramanian and Suresh, 2022 ).…”

Navigating Uncharted Waters: Exploring Leaders’ Challenges in the Era of COVID-19 and the Rise of Telework

“…The study also found that having the appropriate tools or technologies at home boosted workers' productivity. Suresh & Gopakumar [90] conducted research on how the IT sector transitioned to telework without sacrificing productivity or efficiency in support of that. They concluded that offering the right chances for training and development not only increased productivity but also fostered both personal and professional development.…”