DocumentCode
2030260
Title
Successful or unsuccessful open source software projects: What is the key?
Author
Xiaohong Chen ; Probert, David ; Yuan Zhou ; Jun Su
Author_Institution
Sch. of Public Policy & Manage., Tsinghua Univ., Beijing, China
fYear
2015
fDate
28-30 July 2015
Firstpage
277
Lastpage
282
Abstract
This paper aims to analyse the key factors influencing knowledge sharing in open source software projects. Four deep cases are analyzed to develop a conceptual framework based on within-case and cross-case analysis. In terms of data collection, online (including skype meeting, email, email-list, IRC, forum, group meeting, etc) and offline (mainly with face-to-face discussion) activities are two major platforms. The research framework is that distributed innovation (independent variable) will influence shared knowledge (medium variable) and continue to affect the performance of OSS projects (dependent variable). During distributed innovation, developers located on the supply side will affect the shared knowledge from the aspects of Participative Motivation, Social Network and Organizational Culture. Meanwhile, users situated on the demand side will function from the view of user innovation.
Keywords
distributed processing; organisational aspects; public domain software; social networking (online); cross-case analysis; data collection; distributed innovation; influence shared knowledge; knowledge sharing; open source software projects; organizational culture; participative motivation; social network; user innovation; within-case analysis; Collaboration; Computers; Knowledge engineering; Open source software; Social network services; Technological innovation; Influencing Factors; Open Source Software Projects; User Innovation; knowledge Sharing;
fLanguage
English
Publisher
ieee
Conference_Titel
Science and Information Conference (SAI), 2015
Conference_Location
London
Type
conf
DOI
10.1109/SAI.2015.7237155
Filename
7237155
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