Quantitative analysis of knowledge management CSFs: A system dynamics approach

Asish Mathew, Lewlyn Rodrigues

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The purpose of this research is to use systems approach to develop a System Dynamic (SD) model for analysing the Critical Success Factors (CSFs) of Knowledge Management (KM) which are qualitative in nature. A literature survey is conducted to identify the CSFs of KM. Amongst the five generic critical success factors identified, viz. Organization culture, Top management commitment & support, KM tools & technology, KM organization & process and KM measurement & incentives, the research focuses on the 'technology' dimension of the KM initiative and explains how the associated variables affect Knowledge Management System (KMS) performance. The SD model is developed through a five stage process of Problem identification, System conceptualization, Model formulation, Simulation & validation, and Policy analysis & improvement. The model developed uses systems approach to identify the interdependence between CSFs, and the influence of the variables belonging to the technology dimension of KM are varied dynamically, to study their impact on KMS performance, in conjunction with the other CSFs. The model behaviour with reference to the technology dimension is analysed by simulating the model for different possible scenarios. The simulation results emphasize on the need for timely adoption of technology, reduction of the delay in usage of technology so as to gain the competitive advantage. The role played by technology obsolescence on KMS performance is also depicted. The results gives insights to the managers on how to handle the technology dimension of a KMS in concurrence with the other enabling factors of KM. Also, the model demonstrates the use of SD models in evaluating qualitative constructs using quantitative simulation models. There was lack of literature evidence on the study of critical success factors of KMS using an SD model. Hence this paper tries to fill this gap by developing an SD model which can be used to analyse each of the critical success factors in detail, but in concurrence with each other. The use of the model is demonstrated by analysing the technology dimension of the KMS and the results and implications are reported. A clear scope for future research is also provided at the end of the study.

Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Intellectual Capital Knowledge Management and Organisational Learning, ICICKM 2015
PublisherAcademic Conferences and Publishing International Limited
Pages159-168
Number of pages10
Volume2015-January
ISBN (Electronic)9781910810736
Publication statusPublished - 01-01-2015
Event12th International Conference on Intellectual Capital Knowledge Management and Organisational Learning, ICICKM 2015 - Bangkok, Thailand
Duration: 05-11-201506-11-2015

Conference

Conference12th International Conference on Intellectual Capital Knowledge Management and Organisational Learning, ICICKM 2015
CountryThailand
CityBangkok
Period05-11-1506-11-15

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Management of Technology and Innovation
  • Computer Science Applications
  • Information Systems and Management

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  • Cite this

    Mathew, A., & Rodrigues, L. (2015). Quantitative analysis of knowledge management CSFs: A system dynamics approach. In Proceedings of the 12th International Conference on Intellectual Capital Knowledge Management and Organisational Learning, ICICKM 2015 (Vol. 2015-January, pp. 159-168). Academic Conferences and Publishing International Limited.