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Measuring knowledge sharing in open source software development teams

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

The study provides an approach to measure the extent of knowledge sharing in Open Source Software (OSS) development in terms of two aspects: the quality of knowledge sharing which is indicated by the helpfulness of the messages, and the quantity of knowledge sharing which is indicated by the volume of the messages. The study developed a computer-aided content analysis program to assess the helpfulness of the messages based on a set of keywords and the length of the messages. The approach was applied to measure the extent of knowledge sharing of 150 OSS projects. The results further confirmed that the two measures (i.e., helpfulness of messages and volume of messages) assess different aspects of knowledge sharing. Another contribution of this research is the computer-aided content analysis program, which has been shown to be effective and reliable and can be applied in future research.
Original languageEnglish
Title of host publicationAssociation for Information Systems - 13th Americas Conference on Information Systems, AMCIS 2007: Reaching New Heights
Pages3429-3440
Volume5
Publication statusPublished - 2007
Event13th Americas Conference on Information Systems (AMCIS 2007): Reaching New Heights - Keystone, United States
Duration: 10 Aug 200712 Aug 2007

Publication series

NameAssociation for Information Systems - 13th Americas Conference on Information Systems, AMCIS 2007: Reaching New Heights
Volume5

Conference

Conference13th Americas Conference on Information Systems (AMCIS 2007)
PlaceUnited States
CityKeystone
Period10/08/0712/08/07

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Content analysis
  • Knowledge sharing
  • Open source software (OSS) development

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