The Impact of Automation on Gendered Differentiations in Job Insecurity: A Case Study of an Indian KPO

Authors : Abhishek Tiwary; Ajay Singh; Rajdeep Dey

Volume/Issue : Volume 8 - 2023, Issue 9 - September

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This paper delves into the intricate web of gendered differences in the perception of job insecurity within knowledge process organizations, with a specific focus on the disruptive influence of Robotic Process Automation (RPA). The digital transformation era has seen a surge in automation technologies, and RPA, in particular, has had a significant impact on the workforce landscape. This study aims to shed light on how this transformation is experienced differently by male and female employees. Using a robust linear regression analysis, this research examines the data collected from a substantial sample size of 1034 employees across various knowledge process organizations. The analysis encompassed multiple facets of job insecurity, including the fear of job displacement, career stagnation, and overall job satisfaction, as affected by the integration of RPA into their work environment. Our findings reveal intriguing gender disparities in the perception of job insecurity. Male employees tend to exhibit higher levels of job satisfaction in the face of RPA adoption, possibly due to perceived opportunities for up skilling and career growth. Furthermore, the study opens up opportunities to study potential factors contributing to these disparities, such as the gender composition of job roles, access to training opportunities, and management support. Understanding these nuances is crucial for organizations seeking to address gender-related challenges in the wake of automation. In conclusion, this research contributes to the growing body of literature on the impact of automation on the workforce and extends it by highlighting the gendered dimensions of job insecurity. It underscores the importance of implementing gender-sensitive policies and support mechanisms to ensure an inclusive and equitable transition in knowledge process organizations facing the automation wave. This paper invites further discussions and empirical investigations to foster a more comprehensive understanding of the gendered dynamics in the age of automation and, consequently, promote fairer and more adaptive workplaces for all employees.


Paper Submission Last Date
31 - December - 2023

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