System dynamics model of the knowledge management process

Alkaabi, Saif Ali, Chen, Le, & Mohamed, Sherif (2008) System dynamics model of the knowledge management process. In Proceedings of CIB W055 - W065 Joint International Symposium: "Transformation Through Construction", Dubai, United Arab Emirates.

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To effectively manage the challenges being faced by construction organisations in a fast changing business environment, many organisations are attempting to integrate knowledge management (KM) into their business operations. KM activities interact with each other and form a process which receives input from its internal business environment and produces outputs that should be justified by its business performance. This paper aims to provide further understanding on the dynamic nature of the KM process. Through a combination of path analysis and system dynamic simulation, this study found that: 1) an improved business performance enables active KM activities and provide feedback and guidance for formulating learning-based policies; and 2) effective human resource recruitment policies can enlarge the pool of individual knowledge, which lead to a more conducive internal business environment, as well as a higher KM activity level. Consequently, the desired business performance level can be reached within a shorter time frame.

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ID Code: 78886
Item Type: Conference Paper
Refereed: Yes
Keywords: knowledge management, business performance, individual knowledge, system dynamics
Subjects: Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > BUILDING (120200) > Building Construction Management and Project Planning (120201)
Australian and New Zealand Standard Research Classification > COMMERCE MANAGEMENT TOURISM AND SERVICES (150000) > BUSINESS AND MANAGEMENT (150300) > Business Information Management (incl. Records Knowledge and Information Management and Intelligence) (150301)
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2008 [please consult the author]
Deposited On: 23 Nov 2014 23:22
Last Modified: 29 Nov 2014 00:11

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