An Adaptive ICT-Enabled Model for Knowledge Identification and Management for Enterprise Development

Agnes Mindila, Anthony Rodrigues, Dorothy McCormick and Ronald Mwangi
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Agnes Mindila: Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
Anthony Rodrigues: Jaramogi Oginga Odinga University of Science and Technology, Nairobi, Kenya
Dorothy McCormick: University of Nairobi, Nairobi, Kenya
Ronald Mwangi: Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya

International Journal of System Dynamics Applications (IJSDA), 2014, vol. 3, issue 1, 71-89

Abstract: Knowledge is vital in achieving enterprise growth and development. This paper argues that treating knowledge management as a Complex Adaptive System (CAS) presents an alternative lens within which processes within knowledge management can be better understood and hence allows scholars in enterprise development design successful intervention programs. The paper presents a conceptual and system dynamic model that reveals the structural underpinnings of knowledge identification and management and in so doing makes clear influence points where interventions can be made. The paper presents a systematic strategy of employing Information and Communication Technologies (ICTs) as interventions in the structural underpinnings of knowledge identification and management and models them within the system dynamic model. The system dynamic model developed is presented as a learning tool for researchers who can further modify it and apply in different scenarios. The validation of a section of the system dynamic model is done on a Micro and Small Enterprises (MSEs) association. The validation reveals conformity to the structural representation of the developed model in a real life scenario. However, differences are noticed in the ICT interventions that are employed. The paper also presents researchers and practitioners in enterprise development with a model that they can use to design intervention programs in knowledge management.

Date: 2014
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