Understanding organization and open source community relations through the attraction-selection-attrition model

  • Georg J.P. Link
  • , Debora Jeske

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

Organizations increasingly engage with open source communities. Extant research identified the benefits to organizations for engaging with open source and documented how open source communities operate to accommodate organizational engagement. The complexities involved in what attracts organizations to specific communities, how they choose to engage, and how subsequently the organizational-communal engagement shapes the community and organization are not yet well understood. In this paper, we explore how the Attraction-Selection-Attrition Model supports the study of how communities attract, retain, and lose members, and how these aspects relate to organizational-communal engagement between organizations and open source communities. This conceptual paper provides an introduction to the ASA model, having briefly outlined the lack of research connecting ASA and open source communities. Following this, the paper outlines how existing research related to the ASA model may be effectively related to existing open source research, resulting in several questions for future research.

Original languageEnglish
Title of host publicationProceedings of the 13th International Symposium on Open Collaboration, OpenSym 2017
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450351874
DOIs
Publication statusPublished - 23 Aug 2017
Event13th International Symposium on Open Collaboration, OpenSym 2017 - Galway, Ireland
Duration: 23 Aug 201725 Aug 2017

Publication series

NameProceedings of the 13th International Symposium on Open Collaboration, OpenSym 2017

Conference

Conference13th International Symposium on Open Collaboration, OpenSym 2017
Country/TerritoryIreland
CityGalway
Period23/08/1725/08/17

Keywords

  • Attraction-Selection-Attrition model.
  • Open Collaboration Research
  • Open Source Community
  • Organizational-Communal Engagement

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