An innovative approach to identifying knowledge management problems

The promised benefits from implementing knowledge management (KM) attract an increasing number of organizations. However, many organizations, face several difficulties when designing a KM system or implementing its initiatives. These difficulties, along with some unsuccessful KM initiatives worry ma...

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Published inEngineering, construction, and architectural management Vol. 11; no. 5; pp. 349 - 357
Main Authors Al-Ghassani, A.M., Kamara, J.M., Anumba, C.J., Carrillo, P.M.
Format Journal Article
LanguageEnglish
Published Bradford Emerald Group Publishing Limited 01.10.2004
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Abstract The promised benefits from implementing knowledge management (KM) attract an increasing number of organizations. However, many organizations, face several difficulties when designing a KM system or implementing its initiatives. These difficulties, along with some unsuccessful KM initiatives worry many organizations interested in the concept. This paper investigates the reasons for these difficulties and discusses the issues that need to be addressed to develop robust KM systems. It then introduces a systematic approach for addressing these issues at the early stages of designing a KM system. This approach was developed within the cross-sectoral learning in the virtual enterprise (CLEVER) project and supports the definition of KM problems within a business context. The approach has been encapsulated into a prototype software system to make it easier to use. The paper describes in detail the operational level of the prototype. It also discusses the potential of the developed prototype, and concludes that it represents an innovative tool for improved KM.
AbstractList The promised benefits from implementing knowledge management (KM) attract an increasing number of organizations. However, many organizations, face several difficulties when designing a KM system or implementing its initiatives. These difficulties, along with some unsuccessful KM initiatives worry many organizations interested in the concept. This paper investigates the reasons for these difficulties and discusses the issues that need to be addressed to develop robust KM systems. It then introduces a systematic approach for addressing these issues at the early stages of designing a KM system. This approach was developed within the cross-sectoral learning in the virtual enterprise (CLEVER) project and supports the definition of KM problems within a business context. The approach has been encapsulated into a prototype software system to make it easier to use. The paper describes in detail the operational level of the prototype. It also discusses the potential of the developed prototype, and concludes that it represents an innovative tool for improved KM. [PUBLICATION ABSTRACT]
The promised benefits from implementing knowledge management (KM) attract an increasing number of organizations. However, many organizations, face several difficulties when designing a KM system or implementing its initiatives. These difficulties, along with some unsuccessful KM initiatives worry many organizations interested in the concept. This paper investigates the reasons for these difficulties and discusses the issues that need to be addressed to develop robust KM systems. It then introduces a systematic approach for addressing these issues at the early stages of designing a KM system. This approach was developed within the cross-sectoral learning in the virtual enterprise (CLEVER) project and supports the definition of KM problems within a business context. The approach has been encapsulated into a prototype software system to make it easier to use. The paper describes in detail the operational level of the prototype. It also discusses the potential of the developed prototype, and concludes that it represents an innovative tool for improved KM.
The promised benefits from implementing knowledge management KM attract an increasing number of organizations. However, many organizations, face several difficulties when designing a KM system or implementing its initiatives. These difficulties, along with some unsuccessful KM initiatives worry many organizations interested in the concept. This paper investigates the reasons for these difficulties and discusses the issues that need to be addressed to develop robust KM systems. It then introduces a systematic approach for addressing these issues at the early stages of designing a KM system. This approach was developed within the crosssectoral learning in the virtual enterprise CLEVER project and supports the definition of KM problems within a business context. The approach has been encapsulated into a prototype software system to make it easier to use. The paper describes in detail the operational level of the prototype. It also discusses the potential of the developed prototype, and concludes that it represents an innovative tool for improved KM.
Author Al-Ghassani, A.M.
Kamara, J.M.
Carrillo, P.M.
Anumba, C.J.
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10.1108/13673270010372279
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StartPage 349
SubjectTerms Competition
Competitive advantage
Culture
Decision making
Explicit knowledge
Knowledge management
Organizations
Prototypes
Software
Software prototyping
Studies
Systems development
Tacit knowledge
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