Online open collaboration efforts, such as Wikipedia articles and open source software development, often involve a large crowd with diverse experiences and interests. Diversity, on the one hand, facilitates the access to and integration of a wide variety of information; on the other hand, it may cause conflict and hurt group performance. Although diversity's effects have been the subject of many studies in offline work groups (with the results remaining inconclusive), its effects in online self-organizing groups are underexplored. In this paper, we examine 648 WikiProjects to understand (1) how tenure disparity and interest variety affect group productivity and member withdrawal and (2) how the two types of diversity evolve over time. Our results show a curvilinear effect of tenure disparity, which increases productivity and decreases member withdrawal, up to a point. Beyond that point, productivity slightly decreases, and members are more likely to withdraw. In comparison, our results show a positive effect of interest variety on productivity and no significant effects on withdrawal. We also find that, over a project's life cycle, tenure disparity decreases and interest variety increases, with both converging toward the level that is optimal for group performance. Overall, our study highlights the importance of having diverse experiences and perspectives in online open collaboration and the power of self-organizing that helps groups evolve toward their high-performing zones. It also has practical implications on the design of collaboration tools and new forms of organizing work in traditional organizations.
Bibliographical noteFunding Information:
The authors thank participants at the Organizational Behavioral Research Group and the Strategic Management and Entrepreneurship research seminar at the Carlson School of Management and the GroupLens Research Lab, both at the University of Minnesota; and the Computer Information Systems research colloquium at Georgia State University, for their feedback and support. The authors also thank Shawn Curley and Robert E. Kraut for helpful comments on the paper and Myles Shaver for valuable statistical advice. Finally, the authors thank the Wikimedia Foundation for providing the data. This work is supported by the National Science Foundation [Grants IIS-0808692, IIS 0729344, and IIS 0534939], Carlson School Dean's Small Grant, and a 3M Foundation nontenured faculty grant.
© 2016 INFORMS.
- Group performance
- Online open collaboration
- Self-organizing groups