全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Sustainability of Open Collaborative Communities: Analyzing Recruitment Efficiency

Keywords: DEA modeling , efficiency , recruitment , Wikipedia

Full-Text   Cite this paper   Add to My Lib

Abstract:

Extensive research has been conducted over the past years to improve our understanding of sustainability conditions for large-scale collaborative projects, especially from an economic and governance perspective. However, the influence of recruitment and retention of participants in these projects has received comparatively less attention from researchers. Nevertheless, these concerns are significant for practitioners, especially regarding the apparently decreasing ability of the main open online projects to attract and retain new contributors. A possible explanation for this decrease is that those projects have simply reached a mature state of development. Marwell and Oliver (1993) and Oliver, Marwell, and Teixeira (1985) note that, at the initial stage in collective projects, participants are few and efforts are costly; in the diffusion phase, the number of participants grows, as their efforts are rewarding; and in the mature phase, some inefficiency may appear as the number of contributors is greater than required for the work. In this article, we examine this possibility. We use original data from 36 Wikipedias in different languages to compare their efficiency in recruiting participants. We chose Wikipedia because the different language projects are at different states of development, but are quite comparable on the other aspects, providing a test of the impact of development on efficiency. Results confirm that most of the largest Wikipedias seem to be characterized by a reduced return to scale. As a result, we can draw interesting conclusions that can be useful for practitioners, facilitators, and managers of collaborative projects in order to identify key factors potentially influencing the adequate development of their communities over the medium-to-long term.

Full-Text

Contact Us

[email protected]

QQ:3279437679

WhatsApp +8615387084133