Investigating the Factors Affecting the Success of SME'S Innovation Ecosystem Using Fuzzy AHP

Subject Areas : Computational economics

هنگامه معینی پور ¹ , مریم مصلح ² , ماه منیر بیاناتی ³

1 - دانشجوی کارشناسی ارشد/ دانشکده مدیریت/دانشگاه آزاد تهران غرب/ تهران/ ایران
2 - دانشیار گروه پایه/ دانشگاه آزاد اسلامی واحد تهران غرب/ تهران / ایران
3 - عضو هیات علمی/گروه مدیریت کسب وکار/دانشکده مدیریت/دانشگاه آزاد اسلامی واحد تهران غرب/تهران/ایران

Received: 2022-02-12 Accepted : 2022-03-07 Published : 2022-02-20

Keywords: innovation, Open innovation, Innovation ecosystem, Small and mid-size enterprises, Fuzzy Multiple Criteria Decision Making (Fuzzy MCDM),

Abstract :

In severe market conditions, innovation is the creation, development, andimplementation of new ideas or improvement in current products, processes, andstrategies, consequently leading to successful trading and market leadership,providing values for beneficiaries, bringing economic growth, and improving theliving standards. An innovation ecosystem is described as a physical environmentthat refers to a network or cluster of entrepreneurs, inventors, enterprises,universities, research laboratories, governmental agencies, and other institutions andresources aiming at achieving a new process or product development. Therefore, thisresearch mainly aims to identify and prioritize the factors affecting the success of theinnovation ecosystem in enhancing small businesses. In this research, afteridentifying the effective factors using library study and interviews with managers atscience and technology parks, a Delphi survey was applied to recognize main factorsfor the statistical population, including companies located in Tehran, Pardis, andQom Science and Technology Parks. Then, the AHP questionnaire was used toprioritize the factors. The results can be helpful to innovation ecosystems to find andapply their critical success factors, foster small businesses and startups, and survivein the competition ground.