Measuring open source software success

Sang Yong Tom Lee, Hee Woong Kim, Sumeet Gupta

Research output: Contribution to journalArticlepeer-review

136 Citations (Scopus)


Since the mid-1990s, there has been a surge of interest among academics and practitioners in open source software (OSS). While there is an abundance of literature on OSS, most studies on OSS success are either qualitative or exploratory in nature. To identify the factors that influence OSS success and establish generalizability, an empirical study measuring OSS success would enable OSS developers and users to improve OSS usage. In this study, we develop an OSS success model from a previous Information Systems success model incorporating the characteristics of OSS. Using the proposed model, we identify five determinants for OSS success as well as a number of significant relationships among these determinants. Our findings demonstrate that software quality and community service quality have significant effects on user satisfaction. Software quality and user satisfaction, in turn, have significant effects on OSS use. Additionally, OSS use and user satisfaction have significant effects on individual net benefits. This research contributes towards advancing theoretical understanding of OSS success as well as offering OSS practitioners for enhancing OSS success.

Original languageEnglish
Pages (from-to)426-438
Number of pages13
Issue number2
Publication statusPublished - 2009 Apr

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Information Systems and Management


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