Date of Award


Degree Name

Doctor of Philosophy


Business Administration

First Advisor

Pearson, John


An organizational strategy to develop software has appeared in the market. Organizations release software source code open and hope to attract volunteers to improve their software, forming what we call an open source project. Examples of organizations that have used this strategy include IBM (Eclipse), SAP (Netweaver) and Mozilla (Thunderbird). Moreover, thousands of these projects have been created as a consequence of the growing amount of software source code released by individuals. This expressive phenomenon deserves attention for its sudden appearance, newness and usefulness to public and private organizations. To explain the dynamics of open source projects, this research theoretically identified and empirically analyzed a construct – attractiveness – found crucial to them due to its influence on how they are populated and operate, subsequently impacting the qualities of the software produced and of the support provided. Both attractiveness' causes and consequences were put under scrutiny, as well as its indicators. On the side of the consequences, it was theoretically proposed and empirically tested whether the attractiveness of these projects affects their levels of activeness, efficiency, likelihood of task completion, and time for task completion, though not linearly, as task complexity could moderate the relationships between them. Also, it was argued at the theoretical level that activeness, efficiency, likelihood of task completion, and time for task completion mediate the relationship between attractiveness and software/support quality. On the side of attractiveness' causes, it was proposed and tested that five open software projects' characteristics (license type, intended audience, type of project and project’s life-cycle stage) impact attractiveness directly. Additionally, these projects' characteristics were argued to influence projects' levels of activeness, efficiency, likelihood of task completion, and time for task completion (and so an empirical evaluation of their associations was performed). The empirical tests of all these relationships between constructs were carried out using Structural Equation Modeling with Maximum Likelihood on three samples of over 4,600 projects each, collected from the largest repository of open source software, (a repeated cross-sectional approach). The results confirmed the importance of attractiveness, suggesting a direct influence on projects' dynamics, as opposed to the moderated-by-task complexity indirect paths first proposed. Furthermore, all four projects' characteristics studied were found to significantly influence projects' attractiveness, activeness, efficiency, likelihood of task completion, and time for task completion (with the exception of license type and time for task completion). Besides providing a statistical test of these propositions, this study discovered the direction of the influence of each project characteristic on projects' attractiveness, activeness, efficiency, likelihood of task completion and time for task completion. Lastly, conclusions, limitations, and future directions are discussed based on these findings.


I wish to thank CAPES and Fulbright for the financial support, SIUC for the structure provided, and Drs. John Pearson and Peter Mykytyn for the always-open door and stable willingness to help me. Also, I would like to thank Dr. Robert Ping for the valuable insights on statistically testing the ideas here developed and the University of Notre Dame for the prompt access granted to the database.




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