Total interpretive structural modelling (TISM) and MICMAC approach in analysing knowledge risks in ICT-supported collaborative project

Abstract

PurposeAs emphasised by the theory of knowledge-based view, knowledge constitutes the basic element for a firm’s competitive advantage. Consequently, a firm’s knowledge at risk could have an adverse effect on its performance. In this regard, this paper aims to investigate potential knowledge risks present in an (ICT)-supported collaborative project and establishes inter- and multi-relationships among these risks.Design/methodology/approachIn this paper, an integrated approach using the total interpretive structural modelling (TISM) technique and MICMAC analysis is implemented to determine the hierarchical inter-relationships among knowledge risks and classify them according to their driving and dependence power.FindingsThe result reveals seven knowledge risks. The analysis establishes cybercrime and espionage as high drivers of knowledge risks in an ICT-supported collaborative project. Further, a comprehensive model is developed showing the hierarchical structure and multi- and inter-relationships among the analysed risks.Practical implicationsFrom a practical viewpoint, the proposed model in this study will be of great importance to practitioners because it highlights the most prominent knowledge risks in an ICT-supported collaborative project. Additionally, it will provide a clue for effective knowledge risk management in a systematic approach.Originality/valueTo the best of the author’s knowledge, this is one of the first studies to use both the TISM technique and MICMAC analysis to identify and classify knowledge risks in an ICT-supported collaborative project.