How does radical collocation help a team succeed?
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Pair Programming Illuminated
Knowledge Networks: Explaining Effective Knowledge Sharing in Multiunit Companies
Organization Science
A Relational View of Information Seeking and Learning in Social Networks
Management Science
European Journal of Information Systems - Special issue: From technical to socio-technical change: Tackling the human and organizational aspects of systems development projects
IT skills in a tough job market
Communications of the ACM - The digital society
Discovering Social Networks from Event Logs
Computer Supported Cooperative Work
Knowledge flow network planning and simulation
Decision Support Systems
Market Segmentation Within Consolidated E-Markets: A Generalized Combinatorial Auction Approach
Journal of Management Information Systems
Harvesting with SONAR: the value of aggregating social network information
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Understanding the Value of Countermeasure Portfolios in Information Systems Security
Journal of Management Information Systems
AWSM: Allocation of workflows utilizing social network metrics
Decision Support Systems
A Benchmarking Model for Management of Knowledge-Intensive Service Delivery Networks
Journal of Management Information Systems
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There is an increasing recognition that knowledge can be an organization's source of competitive advantage. Hence, knowledge management (KM) has been extensively researched. Prior knowledge management research has recognized the importance of making individual knowledge available throughout the organization. Most KM research, however, has thus far focused on a technology-based KM strategy with relatively little discussion on how knowledge can be effectively shared using organizational social relationships. This paper focuses on how knowledge-intensive organizations can design and use ''knowledge flow networks (KFNs)'' in order to facilitate knowledge sharing. Designing and using KFNs to maximize knowledge sharing is a complex problem. We formulate a mixed integer programming model (MIP), and present a heuristic in order to facilitate systematic analysis and understanding of effective KFNs. We consider organizations that support multiple skills and have workers with varying levels of competence who are connected through IT-facilitated organizational social relationships. Our results, based on computational experiments, provide several interesting insights and intelligence into the design of an effective KFN. First, our results highlight that average workers play a vital bridging role in knowledge sharing. Second, social networking concepts of ties and cohesiveness are used to better understand the dynamics of knowledge sharing. The importance of indirect relationships between expert workers and the network effects due to indirect relationships are illustrated. For effective KM, we also illustrate how organizations can reduce the total number of ties required in a multi-skill environment. In our model extensions, we study the impact of worker turnover and knowledge depreciation on the design and use of effective KFNs. Managerial implications of these results are discussed. The model and solution procedure proposed in this paper can serve as a managerial benchmarking framework for effective management of KFNs.