Modelling the interactions among enablers of technology entrepreneurship : an ISM and Fuzzy-MICMAC approach

Objective: The objective of the article is to explore the enablers for technology entrepreneurship and model them into a contextual relationship through a qualitative approach. Moreover, the article presents a guiding framework for adopting technology startup by budding entrepreneurs through modelling the enablers. Research Design & Methods: Factor analysis was applied to identify the significant factors, and Interpretive Structural Modelling (ISM) and Fuzzy-Matriced’ Impacts Croises-Multiplication Applique’ and Classment (MICMAC) were used to model the factors. Findings: It was found that "supportive government policies," "more funding options," and "intellectual property benefits" are the three significant driving factors. These factors impact ‘personal interest’ of entrepreneurs through linkage factors and "attraction for financers" as enablers for adopting technology startup by entrepreneurs. Implications & Recommendations: This research highlights government and policy initiatives’ established role in harnessing innovation and technology growth in any ecosystem. It further propagates that the individual attitude of an entrepreneur towards accepting new ideas for startup based on technology makes a huge difference to the industry. The role of quality investors in promoting technology startup is highlighted. Contribution & Value Added: This research suggests the roadmap for market players and policymakers to shape the policies and resources so that the budding entrepreneurs get sufficient support and motivation to pursue technology-based startup. The study is unique because it adopts ISM and fuzzy-MICMAC for modelling the factors into a meaningful contextual framework.