A Gestalt Evaluative Framework for Modelling Systemic Knowledge Management

International Journal of Applied Knowledge Management (ISSN: 1746-8167) Volume 1 Issue 2

Andrew L S Goh
Division of Business
University of South Australia


A review of extant knowledge management (KM) literature has revealed a gap in KM models. Despite a plethora of KM models proposed by researchers, most of these models tend to be primarily concentrated on either descriptive or prescriptive approaches. Very few researchers have developed KM models that adopt a systems approach in terms of KM implementation. To bridge this gap, a new model comprising four “KM components” that better reflect systemic KM implementation is thus proposed – centred on a gestalt evaluative framework of knowledge inputs and outcomes. The proposed model not only provides a strategic tool to offer insights into why KM implementation should be approached systemically, but also sheds light on how knowledge inputs and outcomes are inter-related for different KM components. The case of IBM, using the gestalt evaluative framework, is used to illustrate the applicability of the systemic KM model by analysing the implementation of the company’s Intellectual Capital Management (ICM) programme. In conclusion, the challenges facing the developments of better KM models are outlined. Future research directions in the field of KM modelling are also recommended.


Knowledge management (KM), KM implementation, information management, KM models, KM components, descriptive and prescriptive approaches, systemic approach, systemic model, gestalt evaluative framework.

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