Modeling the Communication Technology Industry's Innovation Ecosystem using an Adaptive Neuro Fuzzy Inference System

Document Type : Research Paper

Authors

1 Department of Technology Management, Faculty of Management & Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Department of Corporate Entrepreneurship, Faculty of Entrepreneurship, University of Tehran, Tehran, Iran

Abstract

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.

Keywords


 

COPYRIGHTS

©2021 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers.

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