TY - GEN
T1 - Quantitative analysis of knowledge management CSFs
T2 - 12th International Conference on Intellectual Capital Knowledge Management and Organisational Learning, ICICKM 2015
AU - Mathew, Asish
AU - Rodrigues, Lewlyn
PY - 2015/1/1
Y1 - 2015/1/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84994285779
UR - https://www.scopus.com/pages/publications/84994285779#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:84994285779
VL - 2015-January
T3 - Proceedings of the International Conference on Intellectual Capital, Knowledge Management and Organisational Learning, ICICKM
SP - 159
EP - 168
BT - Proceedings of the 12th International Conference on Intellectual Capital Knowledge Management and Organisational Learning, ICICKM 2015
A2 - Ribiere, Vincent
A2 - Worasinchai, Lugkana
PB - Academic Conferences and Publishing International Limited
Y2 - 5 November 2015 through 6 November 2015
ER -