Gender Bias in the Recruitment Process of IT Startups in the Netherlands

Tea Šinik, Joeri Snippert*, Slinger Jansen*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Abstract

    In today’s fast-changing and innovative world, startups must compete amongst themselves and other well-established companies to hire the best talent in order to succeed. Diversity within the recruitment process is typically not a priority, even though it is well known that a diverse team is beneficial for (business) outcomes. Through a multiple case study performed at 5 IT startups based in the Netherlands, we observed that gender bias is introduced from the first moment that the need for an employee has been identified until candidate hiring. This is a direct result from (1) a lack of resources (e.g., time and money), (2) urgency to find the first and best candidate, or (3) the awareness of the startup founders.

    Original languageEnglish
    Title of host publicationSoftware Business
    Subtitle of host publication13th International Conference, ICSOB 2022, Bolzano, Italy, November 8–11, 2022, Proceedings
    EditorsNoel Carroll, Anh Nguyen-Duc, Xiaofeng Wang, Viktoria Stray
    PublisherSpringer
    Pages328-334
    Number of pages7
    VolumeCham
    Edition1
    ISBN (Electronic)978-3-031-20706-8
    ISBN (Print)978-3-031-20705-1
    DOIs
    Publication statusPublished - 29 Oct 2022
    Event13th International Conference on Software Business, ICSOB 2022 - Bolzano, Italy
    Duration: 8 Nov 202211 Nov 2022

    Publication series

    NameLecture Notes in Business Information Processing
    PublisherSpringer
    Volume463
    ISSN (Print)1865-1348
    ISSN (Electronic)1865-1356

    Conference

    Conference13th International Conference on Software Business, ICSOB 2022
    Country/TerritoryItaly
    CityBolzano
    Period8/11/2211/11/22

    Bibliographical note

    Publisher Copyright:
    © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

    Keywords

    • Diversity & Inclusion
    • Gender bias
    • IT Startup(s)

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