In many online communities, users reveal innovative and potentially valuable intellectual property (IP) under conditions that entail the risk of theft and imitation. When there is rivalry and formal IP law is not effective, this could lead to underinvestment or withholding of IP, unless user-organized norms compensate for these shortcomings. This study is the first to explore the characteristics and functioning of such a norms-based IP system in the setting of anonymous, large-scale, and loose-knit online communities. To do so, we use data on the Threadless crowdsourcing community obtained through netnography, a survey, and a field experiment. On this basis, we identify an integrated system of well-established norms that regulate the use of IP within this community. We analyze the system's characteristics and functioning, and we find that the Òlegal certaintyÓ it provides is conducive to cooperation, cumulative effects, and innovation. We generalize our findings from the case by developing propositions aimed to spark further research. These propositions focus on similarities and differences between norms-based IP systems in online and off-line settings, and the conditions that determine the existence of norms-based IP systems as well as their form and effectiveness in online communities. In this way, we contribute to the literatures on norms-based IP systems and online communities and offer advice for the management of crowdsourcing communities.
Interest in the area of virtual work continues to increase with articles being written from different disciplinary perspectives-e.g., information systems (IS), management, psychology, and transportation. In this paper, we map research on virtual work to (a) understand the intellectual base from which this field has emerged, (b) explore how this field has evolved over time, and (c) identify clusters of research themes that have emerged over time and the relationships between them. Specifically, we use cocitation analysis of research published in all social science disciplines to map the field at three points in time-1995, 2000, and 2006. Our results show that the field has grown from 9 research clusters in 1995 to 16 in 2006. A comparison across these maps suggests that research in the cluster of "virtual teams" has gained significance even as research in some earlier clusters such as "urban planning and transportation" has lost ground. Our longitudinal analysis identifies relevant concepts, theories, and methodologies that have emerged in the field of virtual work. This analysis can help interested researchers identify how they may want to contribute to the field of virtual work-by adding to popular clusters, by enriching emerging smaller clusters, or by acting as bridges across clusters.