IDEAS home Printed from https://ideas.repec.org/p/awe/wpaper/426.html
   My bibliography  Save this paper

Gender and workplace interactions: who is likely to lose?

Author

Listed:
  • Swati Sharma

    (Institute of Economic Growth, Delhi)

Abstract

Workplace interactions have been identified as a valuable source of information and career advancement. This study examines workplace interaction by looking at personal ties of 1744 blue-collar workers in 2 garment manufacturing units in the National Capital Region (NCR) of Delhi, India. Data analysis shows that men have a more expansive set of personal ties, even after controlling for variation in interpersonal and workplace-related characteristics. Women’s personal networks are smaller, clustered within their functional units and more homogeneous. While supervisors do not figure in personal networks of either gender, women are significantly less likely to mobilize interactions with supervisors for professional or personal purposes. Thus, women’s personal ties at the workplace exhibit patterns that are opposite of those identified by existing literature as instrumental for career advancement.

Suggested Citation

  • Swati Sharma, 2021. "Gender and workplace interactions: who is likely to lose?," IEG Working Papers 426, Institute of Economic Growth.
  • Handle: RePEc:awe:wpaper:426
    as

    Download full text from publisher

    File URL: https://iegindia.org/upload/publication/Workpap/wp426.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lori Beaman & Niall Keleher & Jeremy Magruder, 2018. "Do Job Networks Disadvantage Women? Evidence from a Recruitment Experiment in Malawi," Journal of Labor Economics, University of Chicago Press, vol. 36(1), pages 121-157.
    2. Lori Beaman & Jeremy Magruder, 2012. "Who Gets the Job Referral? Evidence from a Social Networks Experiment," American Economic Review, American Economic Association, vol. 102(7), pages 3574-3593, December.
    3. Afridi, Farzana & Dhillon, Amrita & Sharma, Swati, 2015. "Social Networks and Labour Productivity: A Survey of Recent Theory and Evidence," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 50(1), pages 25-42.
    4. Beaman, Lori & Dillon, Andrew, 2018. "Diffusion of agricultural information within social networks: Evidence on gender inequalities from Mali," Journal of Development Economics, Elsevier, vol. 133(C), pages 147-161.
    5. Rotemberg, Julio J, 1994. "Human Relations in the Workplace," Journal of Political Economy, University of Chicago Press, vol. 102(4), pages 684-717, August.
    6. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    7. BenYishay, Ariel & Jones, Maria & Kondylis, Florence & Mobarak, Ahmed Mushfiq, 2020. "Gender gaps in technology diffusion," Journal of Development Economics, Elsevier, vol. 143(C).
    8. Ranganathan, Aruna & Shivaram, Ranjitha, 2017. "Leading by Doing: How Female Supervisors Motivate Worker Productivity through Subordinate Scut Work," Research Papers repec:ecl:stabus:3366, Stanford University, Graduate School of Business.
    9. Yannis M. Ioannides & Linda Datcher Loury, 2004. "Job Information Networks, Neighborhood Effects, and Inequality," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1056-1093, December.
    10. Heath, Rachel & Mushfiq Mobarak, A., 2015. "Manufacturing growth and the lives of Bangladeshi women," Journal of Development Economics, Elsevier, vol. 115(C), pages 1-15.
    11. Erica Field & Seema Jayachandran & Rohini Pande & Natalia Rigol, 2016. "Friendship at Work: Can Peer Effects Catalyze Female Entrepreneurship?," American Economic Journal: Economic Policy, American Economic Association, vol. 8(2), pages 125-153, May.
    12. Rachel Heath, 2018. "Why Do Firms Hire Using Referrals? Evidence from Bangladeshi Garment Factories," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1691-1746.
    13. Lalanne, Marie & Seabright, Paul, 2016. "The old boy network: The impact of professional networks on remuneration in top executive jobs," SAFE Working Paper Series 123, Leibniz Institute for Financial Research SAFE.
    14. Scott A. Boorman, 1975. "A Combinatorial Optimization Model for Transmission of Job Information through Contact Networks," Bell Journal of Economics, The RAND Corporation, vol. 6(1), pages 216-249, Spring.
    15. Horvath, Gergely & Zhang, Rui, 2018. "Social network formation and labor market inequality," Economics Letters, Elsevier, vol. 166(C), pages 45-49.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Afridi, Farzana & Dhillon, Amrita, 2022. "Social Networks and the Labour Market," IZA Discussion Papers 15774, Institute of Labor Economics (IZA).
    2. Dariel, Aurelie & Riedl, Arno & Siegenthaler, Simon, 2021. "Referral hiring and wage formation in a market with adverse selection," Games and Economic Behavior, Elsevier, vol. 130(C), pages 109-130.
    3. Dariel, Aurelie & Riedl, Arno & Siegenthaler, Simon, 2019. "Hiring through Referrals in a Labor Market with Adverse Selection," IZA Discussion Papers 12287, Institute of Labor Economics (IZA).
    4. Osman, Adam & Speer, Jamin D. & Weaver, Andrew, 2022. "Connections, Referrals, and Hiring Outcomes: Evidence from an Egyptian Establishment Survey," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 342-355.
    5. Nicoletta Berardi & Marie Lalanne & Paul Seabright, 2019. "Professional Networks and their Coevolution with Executive Careers," Working papers 723, Banque de France.
    6. Moon, Ji-Woong, 2023. "Strategic referrals and on-the-job search equilibrium," Journal of Monetary Economics, Elsevier, vol. 134(C), pages 135-151.
    7. Anandi Mani & Emma Riley, 2019. "Social networks, role models, peer effects, and aspirations," WIDER Working Paper Series wp-2019-120, World Institute for Development Economic Research (UNU-WIDER).
    8. Lukas Bolte & Nicole Immorlica & Matthew O. Jackson, 2020. "The Role of Referrals in Immobility, Inequality, and Inefficiency in Labor Markets," Papers 2012.15753, arXiv.org.
    9. Berardi, Nicoletta & Lalanne, Marie & Seabright, Paul, 2018. "Professional networks and their coevolution with executive careers: Evidence from North America and Europe," SAFE Working Paper Series 243, Leibniz Institute for Financial Research SAFE.
    10. María Paz Espinosa & Jaromír Kovárík & Sofía Ruíz-Palazuelos, 2021. "Are close-knit networks good for employment?," Working Papers 21.06, Universidad Pablo de Olavide, Department of Economics.
    11. Laurel Wheeler & Robert Garlick & Eric Johnson & Patrick Shaw & Marissa Gargano, 2022. "LinkedIn(to) Job Opportunities: Experimental Evidence from Job Readiness Training," American Economic Journal: Applied Economics, American Economic Association, vol. 14(2), pages 101-125, April.
    12. Deguilhem, Thibaud & Berrou, Jean-Philippe & Combarnous, François, 2017. "Using your ties to get a worse job? The differential effects of social networks on quality of employment: Evidence from Colombia," MPRA Paper 78628, University Library of Munich, Germany.
    13. Emma Lappi, 2023. "Help from the past—coworker ties and entry wages after self-employment," Small Business Economics, Springer, vol. 60(3), pages 1171-1196, March.
    14. S Anukriti & Catalina Herrera‐Almanza & Praveen K. Pathak & Mahesh Karra, 2020. "Curse of the Mummy‐ji: The Influence of Mothers‐in‐Law on Women in India†," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(5), pages 1328-1351, October.
    15. Fafchamps, Marcel & Islam, Asad & Malek, Mohammad Abdul & Pakrashi, Debayan, 2020. "Can referral improve targeting? Evidence from an agricultural training experiment," Journal of Development Economics, Elsevier, vol. 144(C).
    16. Leif Brandes & Marc Brechot & Egon Franck, 2011. "The Temptation of Social Ties: When Interpersonal Network Transactions Hurt Firm Performance," Working Papers 00159, University of Zurich, Institute for Strategy and Business Economics (ISU), revised 2012.
    17. Martin Abel & Rulof Burger & Patrizio Piraino, 2017. "The value of reference letters," Working Papers 06/2017, Stellenbosch University, Department of Economics.
    18. Martin Chegere & Paolo Falco & Andreas Menzel, 2023. "Social Ties at Work and Effort Choice: Experimental Evidence from Tanzania," CERGE-EI Working Papers wp763, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    19. Benjamin Lester & David A. Rivers & Giorgio Topa, 2021. "The Heterogeneous Impact of Referrals on Labor Market Outcomes," Staff Reports 987, Federal Reserve Bank of New York.
    20. Matthew O. Jackson & Brian W. Rogers & Yves Zenou, 2017. "The Economic Consequences of Social-Network Structure," Journal of Economic Literature, American Economic Association, vol. 55(1), pages 49-95, March.

    More about this item

    Keywords

    gender; workplace ties; social networks; garment manufacturing; India;
    All these keywords.

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • J40 - Labor and Demographic Economics - - Particular Labor Markets - - - General
    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:awe:wpaper:426. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/iegggin.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.