Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
8-2007
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.
Keywords
Knowledge sharing, content analysis, Open Source Software (OSS) development
Discipline
Databases and Information Systems | Software Engineering
Areas of Excellence
Digital transformation
Publication
Proceedings of the 13th Americas Conference on Information Systems (AMCIS 2007), Keystone, Colorado, USA, August 9-12
First Page
1
Last Page
12
Publisher
AMCIS
City or Country
Colorado, USA
Citation
LONG, Y.; SIAU, Keng; and HOWELL, K..
Measuring knowledge sharing in open source software development teams. (2007). Proceedings of the 13th Americas Conference on Information Systems (AMCIS 2007), Keystone, Colorado, USA, August 9-12. 1-12.
Available at: https://ink.library.smu.edu.sg/sis_research/9419
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://aisel.aisnet.org/amcis2007/298/