Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Decision Support Systems - Knowledge management support of decision making
Web Services and Service-Oriented Architecture: The Savvy Manager's Guide
Web Services and Service-Oriented Architecture: The Savvy Manager's Guide
Service-Oriented Architecture Compass: Business Value, Planning, and Enterprise Roadmap
Service-Oriented Architecture Compass: Business Value, Planning, and Enterprise Roadmap
Towards Defining Knowledge Management Success
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
eGovernment Front-End Services: Administrative and Citizen Cost-Benefits
EGOV '08 Proceedings of the 7th international conference on Electronic Government
Citizen Participation and Involvement in eGovernment Projects: An Emergent Framework
EGOV '08 Proceedings of the 7th international conference on Electronic Government
Engineering User Requirements for e-Government Services: A Dutch Case Study
EGOV '08 Proceedings of the 7th international conference on Electronic Government
Driver or Passenger? An Analysis of Citizen-Driven eGovernment
EGOV '08 Proceedings of the 7th international conference on Electronic Government
EGOV'06 Proceedings of the 5th international conference on Electronic Government
Talking to, not about, citizens: experiences of focus groups in public e-service development
EGOV'07 Proceedings of the 6th international conference on Electronic Government
Supporting Knowledge Evaluation to Increase Quality in Electronic Knowledge Repositories
International Journal of Knowledge Management
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In this paper, the authors examine whether the union of Knowledge Management with e-services development would be successful in performing as a collaborative functioning unit. The focus of this research is examining the potential for using Knowledge Management as a means for improving research and practice in e-services development. The authors analyze a real-life case against the Knowledge Capture model and its associated knowledge loss. The results show that KM theory has definite potential to elevate e-services research and practice, for example, by adding analysis and decision points concerning what knowledge to use and how to collect it. This is particularly relevant when collecting requirements, information, and desires from potential users of an e-service at the start of a development project.