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.



Technology Entrepreneurs, Factor Analysis, Interpretive Structural Modelling (ISM), Fuzzy-MICMAC, Enablers

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Published : 2022-06-17

SindhuS., & MorR. (2022). Modelling the interactions among enablers of technology entrepreneurship: An ISM and Fuzzy-MICMAC approach. Entrepreneurial Business and Economics Review, 10(2), 97-111.

Shilpa Sindhu 
School of Management, The NorthCap University, Gurugram, Haryana, India  India

Dr. Shilpa Sindhu is an Assistant Professor of Entrepreneurship and Marketing at the School of Management and Liberal Studies, The NorthCap University, Gurugram, India. She has more than 14 years of experience: five years in marketing and research of agri-products and 9 years in academia. She holds PhD in Business Administration and is ASRB-NET qualified. Her areas of specialization is Marketing with interest in E-commerce, Consumer Behavior, Retail Marketing, Services Marketing and Entrepreneurship. She has to her credit around 25+ research papers published in various peer reviewed national and international journals. She has three book chapters published and a book published with an International Publisher. She has supervised one doctoral research (awarded) and guiding three research scholars in the area of Marketing/Advertising. She has been the key resource person for various sessions in seminars and conferences.

Rahul S Mor
Department of Food Engineering, National Institute of Food Technology Entrepreneurship and Manage-ment, Kundli, Sonepat – 131028, India  India

Dr. Rahul S Mor is a researcher of operational design & development, food supply chain, global manufacturing strategies, etc., and currently works as Assistant Professor at the Dept. of Food Engineering, National Institute of Food Technology Entrepreneurship and Management, Sonepat, India. He holds a Ph.D. in Industrial and Production Engineering, specializing in Operations & Supply Chain Analytics. He has authored/co-authored over 50 publications in international refereed SCI, ABDC, ABS ranked journals of high impact factor and Chapters & Conference papers with Elsevier, Springer, Taylor & Francis, IGI Global, etc. His recent research focuses on ‘Supply chain disruptions due to COVID-19, Benchmarking, Performance measurement in food industry, Developing frameworks for food supply chains’, etc.

Dr. Mor is the Area Editor and Managing Guest Editor: Operations Management Research (Springer Nature), Int. J. Logistics Research & Applications (Taylor & Francis); Guest Editor: IEEE Trans. on Engg. Mgmt. (IEEE), Int. J. Transp. Eco.; Associate Editor: Supply Chain Forum: An Int. J. (Taylor & Francis); Editor: Int. J. Supply & Opr. Mgmt. (KU); Editorial Board: J. Dairy Science (Elsevier), Int. J. Cir. Eco. & Waste Mgmt. (IGI), Int. J. Lean Thinking (SU), etc., and a reviewer of many international journals. He is also editing books on ‘Agri-Food Supply Chains’, ‘Industry 4.0’, ‘Circular Economy’, 'Agri-Food 4.0' with Springer Nature, Emerald, etc.

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