The insider’s dilemma: employed open source developers’ identification imbalance and intentions to leave

Simple item page
dc.contributor.authorSchaarschmidt, Marioen
dc.contributor.authorStol, Klaas-Janen
dc.contributor.authorFitzgerald, Brianen
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2025-02-21T15:15:09Z
dc.date.available2025-02-21T15:15:09Z
dc.date.issued2025en
dc.description.abstractIn corporate-sponsored open source software development, company-employed developersbecome “insiders” to the OSS community, and therefore have two roles: they serve asa representative of their employing company, but may also identify as a member of theopen source community. This study investigates what happens when identification with thecompany exceeds identification with the community (and vice versa), and also focuses onconsequences when these insider roles come in conflict. Informed by social identity theory andorganization-profession conflict theory, we report on two studies that predict identificationimbalance to affect company turnover intention. Our first study is based on a survey ofemployed Linux kernel developers and uses polynomial regression to assess the effect ofidentification imbalance (and congruence) on company turnover intention. The second studyextends our investigation beyond Linux and demonstrates that the effect of identificationimbalance on turnover intention is mediated by role conflict. The findings suggest that turn-over intention is lowest, when company and community identification match at high ratherthan low levels. We also find developers’ company career ambition influences how role conflictrelates to company turnover intention. This study holds implications for theory and formanagers in companies who engage with OSS communities.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationSchaarschmidt, M., Stol, K.-J. and Fitzgerald, B. (2025) ‘The insider’s dilemma: employed open source developers’ identification imbalance and intentions to leave’, European Journal of Information Systems, pp. 1–20. https://doi.org/10.1080/0960085X.2025.2463984en
dc.identifier.doihttps://doi.org/10.1080/0960085X.2025.2463984en
dc.identifier.eissn1476-9344en
dc.identifier.endpage20en
dc.identifier.issn0960-085Xen
dc.identifier.journaltitleJournal of Information Systemsen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/17102
dc.language.isoenen
dc.publisherTaylor & Francisen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2094/IE/Lero - the Irish Software Research Centre/en
dc.rights© 2025, the Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, orbuilt upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consenten
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectOpen source softwareen
dc.subjectOrganizational identificationen
dc.subjectTurnover intentionen
dc.subjectResponsesurface methoden
dc.titleThe insider’s dilemma: employed open source developers’ identification imbalance and intentions to leaveen
dc.typeArticle (peer-reviewed)en
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
The Insider s Dilemma Employed Open Source Developers Identification Imbalance and Intentions to Leave.pdf
Size:
1.71 MB
Format:
Adobe Portable Document Format
Description:
Published Version
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Computer Science - Journal Articles