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Onward and Upward? An Empirical Investigation of Gender and Promotions in Information Technology Services

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  • Nishtha Langer

    (Lally School of Management, Rensselaer Polytechnic Institute, Troy, New York 12180;)

  • Ram D. Gopal

    (Business School, Southern University of Science and Technology, Shenzhen 518055, P. R. China;)

  • Ravi Bapna

    (Carlson School of Management, University of Minnesota, Minneapolis, Minnesota 55455)

Abstract

The shaky ascent of women up the organizational ladder is a critical factor that may contribute to the lack of women in information technology (IT). In this study, we examine the effect of gender on the likelihood of employee promotions. We further examine whether women get an equal lift in promotion likelihood from performance improvements, work experience, and training as men. We analyze archival promotion data, as well as demographic, human capital, and administrative data for 7,004 employees at a leading IT services firm located in India for the years 2002–2007 and for multiple levels of promotion. We develop robust econometric models that consider employee heterogeneity to identify the differential effect of gender and performance on promotions. We find that, contrary to expectations, women are more likely to be promoted, on average. However, looking deeper into the heterogeneous main effects using hierarchical Bayesian modeling reveals more nuanced insights. We find that, ceteris paribus, women realize less benefit from performance gains than men, less benefit from tenure within the focal firm, but more benefit from training than men. These results suggest that despite the disparity in returns to performance and experience improvements, women can rely on signaling mechanisms such as training to restore parity in promotions. We find that the effects of gender and performance vary with the level of employee promotion; although not as much as men, women benefit more from performance gains at higher organizational levels. Our findings suggest several actionable managerial insights that can potentially make IT firms more inclusive and attractive to women.

Suggested Citation

  • Nishtha Langer & Ram D. Gopal & Ravi Bapna, 2020. "Onward and Upward? An Empirical Investigation of Gender and Promotions in Information Technology Services," Information Systems Research, INFORMS, vol. 31(2), pages 383-398, June.
  • Handle: RePEc:inm:orisre:v:31:y:2020:i:2:p:383-398
    DOI: 10.1287/isre.2019.0892
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    1. Zhang Yu & Gros Tristen & Mao En, 2021. "Gender Disparity in Students’ Choices of Information Technology Majors," Business Systems Research, Sciendo, vol. 12(1), pages 80-95, May.
    2. Hilal Atasoy & Rajiv D. Banker & Paul A. Pavlou, 2021. "Information Technology Skills and Labor Market Outcomes for Workers," Information Systems Research, INFORMS, vol. 32(2), pages 437-461, June.
    3. Dong, Lingfeng & Wu, Zhenwei & Ji, Ting & Tu, Yu, 2024. "Informing or persuading? Unveiling the complex dynamics of live chat in online labor markets," Journal of Retailing and Consumer Services, Elsevier, vol. 80(C).
    4. Amalia R. Miller & Kamalini Ramdas & Alp Sungu, 2023. "Browsers Don’t Lie? Gender Differences in the Effects of the Indian COVID-19 Lockdown on Digital Activity and Time Use," NBER Working Papers 31919, National Bureau of Economic Research, Inc.
    5. Nishtha Langer & Tarun Jain, 2024. "Peer Influence and IT Career Choice," Information Systems Research, INFORMS, vol. 35(2), pages 642-656, June.

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