CURE: an efficient clustering algorithm for large databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
With agility and adequate partnership strategies towards effective logistics networks
Computers in Industry
Information and Management
Automated cross-organisational trust establishment on extranets
ITVE '01 Proceedings of the workshop on Information technology for virtual enterprises
Design, Analogy, and Creativity
IEEE Expert: Intelligent Systems and Their Applications
The researcher's dilemma: evaluating trust in computer-mediated communication
International Journal of Human-Computer Studies - Special issue: Trust and technology
The impact of IS sourcing type on service quality and maintenance efforts
Information and Management
Fuzzy nature of trust and dynamic trust modeling in service oriented environments
Proceedings of the 2005 workshop on Secure web services
Process and technology challenges in swift-starting virtual teams
Information and Management
Knowledge sharing in virtual enterprises via an ontology-based access control approach
Computers in Industry
A fuzzy trust evaluation method for knowledge sharing in virtual enterprises
Computers and Industrial Engineering
Probabilistic latent semantic analysis
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
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Virtual research and development (R&D) is inevitable to reduce the product life cycle. Enterprises tend to rely on their foreign partners for supporting technology and knowledge acquisition to conduct and improve firms' product development with low R&D risk. R&D is a highly creative and knowledge-intensive activity, Therefore, efficient knowledge flow, which transmits the right knowledge to the right people at the right time, is key to improving efficiency of the R&D process. Kanban supports visual production control using the card of providing information to regulate the flow of inventory and materials. To enhance the knowledge flow efficiency in the virtual R&D process, this study proposes a knowledge kanban system utilizing the philosophy of kanban management and knowledge engineering techniques. Employees can quickly, easily, and exactly determine what knowledge they need to learn, create, share, and maintain by the knowledge kanban system. This system assists employees to do the right thing, to reduce the cycle time of R&D processes, and to enhance the reuse of knowledge, to create new knowledge. To achieve this objective, this study first proposes a knowledge flow model in virtual R&D based on the analysis result of knowledge in virtual enterprises (VEs), and then designs the knowledge kanban model according to the knowledge flow model in virtual R&D and proposes the knowledge kanban functional framework based on the knowledge kanban model. Finally, this study develops the related technologies to implement the knowledge kanban system. The knowledge kanban system is an effective tool to facilitate knowledge creation, storage, transmission and sharing for R&D engineers to develop knowledge in problem solving and product development, to improve enterprise competitiveness.