Innovation Ecosystem

Purpose: Considering the quantitative growth of university growth and technology centers in the country and the need for solutions to facilitate the success of these companies in global competition, this study identifies the indicators of innovation ecosystem of university growth and technology centers with the knowledge-based economy approach with data foundation approach. Methodology: This research was based on empirical philosophy and has been done with a deductive-inductive approach. From the perspective of the goal, it was a fundamental research that has been done with a mixed research method. The study population of this study includes entrepreneurship professors and managers who have work experience in knowledge-based companies. Sampling was done by non-probabilistic and purposeful sampling method. Data collection tools are interviews and questionnaires. In the analysis of the interviews, the data theory of the foundation (selective, open and pivotal) was used. Also, the identified indicators have been validated by fuzzy Delphi method. Finally, the final model of the research is presented. Research data analysis was performed in the qualitative phase with MAXQDA software and in the quantitative phase with Matlab software. Findings: To achieve the objectives of the research, by analyzing interviews with experts, a set of practical indicators of the innovation ecosystem were identified. In the open coding stage, 517 codes were identified, which with the observed observations, 9 main categories and 41 sub-categories were obtained. Conclusion: Based on the achievements of this study, issues such as organizational management, growth center rules and regulations, innovation ecosystem infrastructure, knowledge ecosystem, innovation ecosystem, ecosystem capital, economic ecosystem, innovation ecosystem challenges and key players are key elements in the success of these universities in knowledge-based economy was considered. These cases also interact with each other in 41 minor areas.

The innovation ecosystem plays a valuable role in the development of innovation and entrepreneurship. The emergence of an innovation-based economy requires the development of an innovation ecosystem in the context of the region. In most countries, especially less developed countries, the ecosystem is not properly formed and the first step to its formation is the theoretical and experimental knowledge of this area. Therefore, this study aims to investigate the dimensions and components of the innovation ecosystem. We applied bibliometric method, citation analysis, applied evaluation techniques and content analysis of documents in this research. The purpose of this research is to review studies in this field and to present a conceptual and integrated model using content analysis of documents by organizing previous research. The statistical population of this research includes all the documents presented in the Web of Science database with 438 documents related to the innovation ecosystem until 2020 and has been evaluated and illustrated using VOS viewer software. Based on the content analysis of the documents, research on the "innovation ecosystem" is divided into five sections. The first part of the research is related to the structural factors. The second part is related to the type of the relationships and interactions, and the third part is related to the results. The fourth part is about the actors and the fifth part is about how they have performed. Finally, the conceptual framework of the research is presented based on the content analysis of the documents

Information and communication technology (ICT) has provided a platform for the supply of innovative products and services. Therefore, the innovation ecosystem of communication technology (CT) has more searchable aspects separated from information technology (IT). This research aimed to provide insights into the state-of-the-art innovation ecosystem of the communication technology industry and suggests attitudes for future research. In this article, by review of more than 40 articles and chapters about the innovation ecosystem, the analysis has utilized data-driven tools, 173 questionnaires, and 20 specialized interviews with experts. The extracted factors of the research were analyzed using SPSS and AMOS software, and the research model was analyzed using the Adaptive Neuro-Fuzzy Inference System (ANFIS) in MATLAB software. The results show that the financial and economic factor has the most impact and the national and regional factor has the least importance in the innovation ecosystem model. The financial and economic factor is significantly different from other factors in terms of degree of importance.

The purpose of this research is to design a framework for strategic innovation in sports businesses based on Grounded theory. Data was collected using interviews, which involved 19 participants including sports management professors, sports business owners, as well as sports managers. Based on Grounded theory, 156 open codes, 18 substantive codes, and 6 theoretical codes were identified. The factors affecting strategic innovation in sports businesses included institutional factors (culture, institutions, and laws), innovative human resources (providing innovative ideas, recognizing innovative opportunities, and strategic thinking), knowledge of the team and business environment (team, market, and macroeconomics), infrastructure (education, technology, and university-industry connection), and management of innovative business processes (marketing research, branding, empowerment, and human resource capability). The development of strategic innovation in sports businesses is a topic that has received less attention, and understanding the factors affecting it can provide the basis for promoting and developing the innovation ecosystem in sports.