this paper has been provided by the Social Science and Humanities Research Council of Canada (General and Strategic grants), Bell Canada, the Ontario Ministry of Science and Technology, and the Information Technology Research Centre. We dedicate this chapter to science-fiction personage Judith Merril who net surfed for fifty years until her death in Sept., 1997.

Research into free and open source software development projects has so far largely focused on how the major tasks of software development are organized and motivated. But a complete project requires the execution of “mundane but necessary” tasks as well. In this paper, we explore how the mundane but necessary task of field support is organized in the case of Apache web server software, and why some project participants are motivated to provide this service gratis to others. We find that the Apache field support system functions effectively. We also find that, when we partition the help system into its component tasks, 98 % of the effort expended by information providers in fact returns direct learning benefits to those providers. This finding considerably reduces the puzzle of why information providers are willing to perform this task “for free. ” Implications are discussed.

As the basis of value creation increasingly depends on the leverage of the intangible assets of firms, Knowledge Management Systems (KMS) are emerging as powerful sources of competitive advantage. However, the general recognition of the importance of such systems seems to be accompanied by a technology-induced drive to implement systems with inadequate consideration of the fundamental knowledge problems that the KMS are likely to solve. This paper contributes to the stream of research on Knowledge Management Systems by proposing an inductively developed framework for this important class of information systems, classifying KMS based on the locus of the knowledge and the a-priori structuring of contents. This framework provides a means to explore issues related to KMS and unifying dimensions underlying different types of KMS. The contingencies that we discuss: the size and diversity of networks, the maintenance of knowledge flows and the long term effects of the use of KMS provide a window into work in a number of reference disciplines that would enrich the utility of KMS and also open up fruitful areas for future research.

Organizations are attempting to leverage their knowledge resources by employing knowledge management (KM) systems, a key form of which are electronic knowledge repositories (EKRs). A large number of KM initiatives fail due to reluctance of employees to share knowledge through these systems. Motivated by such concerns, this study formulates and tests a theoretical model to explain EKR usage by knowledge contributors. The model employs social exchange theory to identify cost and benefit factors affecting EKR usage, and social capital theory to account for the moderating influence of contextual factors. The model is validated through a large-scale survey of public sector organizations. The results reveal that knowledge self-efficacy and enjoyment in helping others significantly impact EKR usage by knowledge contributors. Contextual factors (generalized trust, pro-sharing norms, and identification) moderate the impact of codification effort, reciprocity, and organizational reward on EKR usage, respectively. It can be seen that extrinsic benefits (reciprocity and organizational reward) impact EKR usage contingent on particular contextual factors whereas the effects of intrinsic benefits (knowledge self-efficacy and enjoyment in helping others) on EKR usage are not moderated by contextual factors. The loss of knowledge power and image do not appear to impact EKR usage by knowledge contributors. Besides contributing to theory building in KM, the results of this study inform KM practice.

Recent research suggests that people obtain useful knowledge from others with whom they work closely and frequently (i.e., strong ties). Yet there has been limited empirical work examining why this is so. Moreover, other research suggests that weak ties provide useful knowledge. To help integrate these multiple findings, we propose and test a model of two-party (dyadic) knowledge exchange, with strong support in each of the three companies surveyed. First, the link between strong ties and receipt of useful knowledge (as reported by the knowledge seeker) was mediated by competence- and benevolence-based trust. Second, once we controlled for these two trust dimensions, the structural benefit of weak ties became visible. This latter finding is consistent with prior research suggesting that weak ties provide access to non-redundant information. Third, we found that competence-based trust was especially important for the receipt of tacit knowledge. We discuss implications for theory and practice. 2

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Technology can play an important role in enabling people to interact with each other. The Web is one such technology with the affordances for sharing information and for connecting people to people. In this paper, we describe the design of two social interaction Web sites for two different social groups. We review several related efforts to provide principles for creating social interaction environments and describe the specific principles that guided our design. To examine the effectiveness of the two sites, we analyze the usage data. Finally, we discuss approaches for encouraging participation and lessons learned.

Peer-to-peer (P2P) file sharing networks are an important medium for the distribution of information goods. However, there is little empirical research into the optimal design of these networks under real-world conditions. Early speculation about the behavior of P2P networks has focused on the role that positive network externalities play in improving performance as the network grows. However, negative network externalities also arise in P2P networks because of the consumption of scarce network resources or an increased propensity of users to free ride in larger networks, and the impact of these negative network externalities—while potentially important—has received far less attention. Our research addresses this gap in understanding by measuring the impact of both positive and negative network externalities on the optimal size of P2P networks. Our research uses a unique dataset collected from the six most popular OpenNap P2P networks between December 19, 2000, and April 22, 2001. We find that users contribute additional value to the network at a decreasing rate and impose costs on the network at an increasing rate, while the network increases in size. Our results also suggest that users are less likely to contribute resources to the network as the network size increases. Together, these results suggest that the optimal size of these centralized P2P networks is bounded—At some point the costs that a marginal user imposes on the network will exceed the value they provide to the network. This finding is in contrast to early predictions that larger

Social scientists are increasingly interested in the new organizational forms known as epistemic communities, knowledge networks, or communities of practice, depending on the discipline. These forms are made possible by new communication technologies, but they can be difficult to study qualitatively, often because their human, social, cultural, or symbolic capital is transmitted over significant distances with technologies that do not carry the full range of human expressions that a researcher using participant observation or ethnography hopes to experience. Qualitative methods are desirable for rendering rich data on human interaction but alone are ill equipped for studying community life conducted in diverse formal and informal organizations and over many new media. Social network analysis is desirable for rendering an overarching sketch of social interaction but alone is ill equipped for giving detail on incommensurate yet meaningful relationships. I propose `network ethnography' as a synergistic research design that synthesizes these two methods, using the strengths of each to make up for the weaknesses of the other. Network ethnography uses social network analysis to justify case selection for ethnography, facilitating the qualitative study of the varied organizational forms of knowledge networks.

. Workplace training is most effective when the training happens just in time as part of a worker's regular job activities. We are developing a just-in-time training system called PHelpS (Peer Help System) which can select peer helpers with whom the worker can interact. User modelling is central in the PHelpS system. For each worker, a user model is kept containing several kinds of information about the worker, in particular a knowledge profile of how well they can carry out various specific tasks. These user models permit the system to select a knowledgeable, available, and appropriate set of helpers if a worker signals that he or she needs help in carrying out a particular task. Many interesting user modelling issues arise in this work, most importantly employing the same user model in multiple ways, making the user models inspectable by a variety of users, doing knowledgebased matching and retrieval, and maintaining the accuracy of the user model over time. There are several social ...