Women Workforce Attrition Dynamics in Indian IT/ ITES sector

Singh, Sharda and Ganguli, Shirshendu and David, Rajasekhar (2017) Women Workforce Attrition Dynamics in Indian IT/ ITES sector. Women Workforce Attrition Dynamics in Indian IT/ ITES Sector, 22 (5). pp. 1211-1226.

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The objective of the study is to identify various factors responsible for women's workforce attrition in Indian IT/ITES sector. Thematic analysis was used to generate the factors affecting women's workforce attrition. For the purpose of the study, semi-structured in depth interviews were conducted with some of the women employees of different IT companies. Interviews can be broadly classified into four sections. The first section dealt with personal profiles; second part contained a discussion on the benefits provided by organizations; third part elaborates on factors responsible for women's workforce attrition; and the last part dealt with suggestions on reducing attrition rate among women's workforce in India IT/ITES industry. Thematic analysis of the interview scripts provided two broad themes, namely intrinsic factors and extrinsic factors. Intrinsic factors consist of work life balance and motherhood whereas extrinsic factors include work pressure, long working hour, faulty appraisal practices, forceful transfers, and less cooperative colleagues. The will help the IT/ITES companies to understand the factors responsible for high attrition rate among women workforce. It helps in understanding the psyche of women workforce, which in turn can help the managers to build and retain their talent pool. The study also provides a holistic view to human resource strategies and policies that accommodate the work life need of the diverse women workforce in the current business environment

Item Type: Article
Uncontrolled Keywords: Attrition; Women Workforce; Indian Software Industry; Thematic Analysis
Subjects: Human Resource Management
Divisions: Human Resource Management
Depositing User: Ms. Sachitha R
Date Deposited: 21 Sep 2018 10:17
Last Modified: 21 Sep 2018 10:17
URI: http://tapmi.informaticsglobal.com/id/eprint/122

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