Understanding organization and open source community relations through the Attraction-Selection-Attrition model

Loading...
Thumbnail Image
Files
4174.pdf(632.98 KB)
Accepted Version
Date
2017
Authors
Link, Georg J. P.
Jeske, Debora
Journal Title
Journal ISSN
Volume Title
Publisher
Association for Computing Machinery
Published Version
Research Projects
Organizational Units
Journal Issue
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.
Description
Keywords
Open source , Attraction-Selection-Attrition model
Citation
Link, G. J. P. and Jeske, D. (2017) ‘Understanding organization and open source community relations through the Attraction-Selection-Attrition model’, Proceedings of the 13th International Symposium on Open Collaboration. Galway, Ireland, 23-25 August. doi:10.1145/3125433.3125472
Copyright
© 2017, the Authors. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org.