Collective Action and Knowledge Contribution in Electronic Networks of Practice

Although there has been a significant increase in networked communication and a growing interest in virtual organizing, to date researchers have yet to establish consistent terminology and have paid little attention to how specific characteristics of the electronic network influence social dynamics such as knowledge contribution. To address this gap, we develop a theoretical model and a set of propositions that explain knowledge contribution in voluntary, computer-mediated, very large and open networks focused on knowledge exchange around a specific practice. We base our model on theories of social networks and collective action to explain how a social network of volunteers sustains productive exchanges between individuals, such as the exchange of knowledge. We utilize the concept of a network of practice to illustrate how the macrostructural properties of the communication media, network size, access to the network, and mode of participation affect network dynamics and knowledge contribution. We then develop a model and a set of propositions to suggest that knowledge contribution within an electronic network of practice is dependent upon 1) the macrostructural properties of the network, 2) the structure of ties that create the network, 3) the relational quality of ties that develop between individuals and the network as a whole, 4) the use of social controls, and 5) the distribution of individual motivations and resources in the network. We further predict that knowledge contribution influences the distribution of individual motivations and resources, as well as serves to create and recreate network structure over time. We conclude with a discussion of the implications of our theory for current and future research

e-Governance: Supporting pragmatic direct deliberative action through online communities of interest

Authors often report on the limited success of e-Government initiatives in developing nations. Top down, national strategies are developed to target improved government services, but maintain hierarchical, citizen-state conceptions of governance through representative democracy. An alternative conception, direct deliberative democracy, frames the potential role of the internet in governance differently. Web based platforms might support locally animated deliberations, which target pragmatic outcomes, while the resulting social networks afford collective learning through connections across traditional boundaries. This paper presents an investigation of direct deliberative governance as it occurs in online 'communities of interest', and is based on research with such a community in southern Africa. We investigate contributions to the online governance process and develop an action typology distinguishing between degrees of 'agency freedom'. Network analytic techniques are then used to understand how acts of varying degree are expressed in terms of the structure of a social network. The aim, more broadly, is to understand how the environment shapes acts of direct deliberative governance, and, in turn, how the acts shape the evolution and effectiveness of the community. The preliminary results suggest design considerations for online governance communities, and highlight their role to not only provide deliberative space, but to mediate social network connections

Proceedings of the Conference on Human and Economic Resources

The aim of this study is to develop an understanding of the factors influencing participants’ knowledge-sharing in an electronic network of practice. The study builds on a theoretical framework derived from the theory of reasoned action and theories of social capital and social exchange. A model of knowledge sharing in an electronic network of practice has been developed based on this framework, which attempts to integrate factors validated through recent empirical studies (Kankanhalli et al., 2005; Wasko and Faraj, 2005; Bock et al., 2005). The model that considers the factors influencing the knowledge contributor and the knowledge seeker has been empirically tested using a survey in the Financial Management Community of Practice (COP) in the USAF Portal. Figure 1 shows the research model adopted for the study, which incorporates constructs from social exchange theory and social capital theory. Data were collected from members of the Financial Management (FM) Communities of Practice (COP) on the AF portal. Partial least squares (PLS) was chosen as the structural equation analysis method to the test the hypotheses. The study demonstrated that experience in the profession influenced the amount of contribution, but that self-rated expertise did not. The findings indicate that relational capital may not be as important to usage, but it is strongly related to the intention to share knowledge. The study also indicated that commitment to the community of practice was not a factor in knowledge contribution. Concerning anticipated extrinsic benefits, the results show that individuals are not motivated by these types of rewards whether monetary in nature or reputation-based. The hypothesis regarding the sense of self-worth through the intention to share knowledge was not supported. Secondly, the results showed that the anticipated loss of knowledge power that occurs when an individual shares personal knowledge, did not influence an individual’s intention to share knowledge in the COP. Finally, an individual’s codification effort indicated only a relationship with number of messages posted. The results provide some evidence that cognitive social capital influences intention to share knowledge.knowledge-sharing, cognitive social capital

Exploiting tacit knowledge through knowledge management technologies

The purpose of this paper is to examine the contributions and suitability of the available knowledge management (KM) technologies, including the Web 2.0 for exploiting tacit knowledge. It proposes an integrated framework for extracting tacit knowledge in organisations, which includes Web 2.0 technologies, KM tools, organisational learning (OL) and Community of Practice (CoP). It reviews a comprehensive literature covering overview of KM theories, KM technologies and OL and identifies the current state of knowledge relating to tacit knowledge exploitation. The outcomes of the paper indicate that Internet and Web 2.0 technologies have stunning prospects for creating learning communities where tacit knowledge can be extracted from people. The author recommends that organisations should design procedures and embed them in their Web 2.0 collaborative platforms persuading employees to record their ideas and share them with other members. It is also recommended that no idea should be taken for granted in a learning community where tacit knowledge exploitation is pursued. It is envisaged that future research should adopt empirical approach involving Complex Adaptive Model for Tacit Knowledge Exploitation (CAMTaKE) and the Theory of Deferred Action in examining the effectiveness of KM technologies including Web 2.0 tools for tacit knowledge exploitation

Social Interactions vs Revisions, What is important for Promotion in Wikipedia?

In epistemic community, people are said to be selected on their knowledge contribution to the project (articles, codes, etc.) However, the socialization process is an important factor for inclusion, sustainability as a contributor, and promotion. Finally, what does matter to be promoted? being a good contributor? being a good animator? knowing the boss? We explore this question looking at the process of election for administrator in the English Wikipedia community. We modeled the candidates according to their revisions and/or social attributes. These attributes are used to construct a predictive model of promotion success, based on the candidates's past behavior, computed thanks to a random forest algorithm. Our model combining knowledge contribution variables and social networking variables successfully explain 78% of the results which is better than the former models. It also helps to refine the criterion for election. If the number of knowledge contributions is the most important element, social interactions come close second to explain the election. But being connected with the future peers (the admins) can make the difference between success and failure, making this epistemic community a very social community too

Can knowledge management save regional development?

Australia needs to create innovative regions to sustain economic prosperity and regional development. In order to do this, regions will need to systematically address their knowledge needs and identify tools that are appropriate in maximising their effectiveness. Many initiatives have focused on information and communication technology (ICT) to enable knowledge exchange and stimulate knowledge generation, but active knowledge management (KM) strategies are required if ICTs are to be used effectively. These strategies must respond to the regional economic and social environments which incorporate small and medium enterprises (SMEs). This paper outlines the importance of KM for supporting regional cluster development and the key ways in which communities of practice (CoPs), a KM technique, have been used to add value in similar contexts. How CoPs and their online counterpart, virtual communities of practice (VCoPs), can be used and developed in regional areas of Australia is considered along with a program for further research.<br /

What do networks do to work: the agential role of network

The article draws on an ongoing study of interorganisational learning in project based organisations and how organisations learn through network settings. The article aimed at drawing theoretical explanations of network learning especially after learning moved from interorganisational learning to inter-networked learning. The article employs the structure agency relationship by Dave Elder-Vass as theoretical lens to draw conclusions that provides fresh explanations of how network are helpful in fostering learning activities. The research method included interviews, observation and archives. Data were analysed using thematic analysis which generated codes and then conclusion were drawn. The main contributions of this article are (1) to portray agency as another face of structure, (2) stress the agential role of networks, and (3) looking at networks as agents provides fresh understanding of benefits of networks

Research Agenda for Studying Open Source II: View Through the Lens of Referent Discipline Theories

In a companion paper [Niederman et al., 2006] we presented a multi-level research agenda for studying information systems using open source software. This paper examines open source in terms of MIS and referent discipline theories that are the base needed for rigorous study of the research agenda

Adapting structuration theory to understand the role of reflexivity: Problematization, clinical audit and information systems

This paper is an exploratory account of the further development and application of a hybrid framework, StructurANTion, that is based on Structuration Theory and Actor Network Theory (ANT). The use of social theories in general and their use in information systems (IS) research in particular is explored leading to the use of the framework to examine the concept of what are termed humanchine networks in the context of clinical audit, within a healthcare Primary Care Trust (PCT). A particular focus is on the manner in which information systems-based reflexivity contributes to both entrenching a networks’ structurated order as well as contributing to its emancipatory change. The case study compares clinic-centric and patientcentric audit and seeks to further extend the understanding of the role of information and information systems within structurated humanchine activity systems. Conclusions indicate that the use of more socially informed IS methods and approaches can incorporate more emancipatory ideals and lead to greater adoption and usage of more relevant and useful clinical information systems and practices