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Impact of social features implemented in open collaboration platforms on volunteer self-organization: case study of open source software development

Published:05 August 2013Publication History

ABSTRACT

The promise of collective intelligence emerging from voluntary participation, contribution and knowledge sharing brought about by ubiquitous information and communication technologies has recently attracted the attention of academics and practitioners alike. Of many related phenomena, open source software (OSS) development has been touted as one of the leading examples that speak to the potential of collective intelligence. Recently, the advent of novel open collaboration platforms for open source software development, such as Github, has prompted researchers to examine the impact of increased work transparency induced by the introduction of social features on voluntary self-organization and allocation of resources to projects. We present both qualitative and quantitative analyses from which we derive some initial propositions regarding the impact of transparency on voluntary self-organization processes and decision mechanisms.

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  1. Impact of social features implemented in open collaboration platforms on volunteer self-organization: case study of open source software development

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    • Published in

      cover image ACM Other conferences
      WikiSym '13: Proceedings of the 9th International Symposium on Open Collaboration
      August 2013
      248 pages
      ISBN:9781450318525
      DOI:10.1145/2491055

      Copyright © 2013 Copyright is held by the owner/author(s)

      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 5 August 2013

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      • research-article

      Acceptance Rates

      WikiSym '13 Paper Acceptance Rate22of43submissions,51%Overall Acceptance Rate69of145submissions,48%

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