Document Type : Research Paper

Authors

• mojtaba mohamadjkhani ¹
• Reza Radfar ²
• nazanin Pilevarisalmasi ¹
• mohamadali afsharkazemi ¹

¹ n

² 2 Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract

In the past, companies relied only on internal intellectual resources and tried to develop and commercialize ideas within the organization. The open innovation approach leads companies to make more use of external technologies in their activities and allows other companies to use their innovations. Open innovation methods have a high diversity, but each economic enterprise should use one or more methods compatible with the company's situation according to its conditions. In the current research, a network-based fuzzy inference system has been used as one of the methods of artificial intelligence and MATLAB software to choose the appropriate method of open innovation in the automotive industry. For this purpose, 2 inputs under the title of company's technical knowledge level and the complexity of parts technology and 9 possible modes for the output including all kinds of open innovation methods are considered in the fuzzy inference system so that by using the existing rules, a technique suitable to the company's conditions can be extracted. In this research, 50% of the data were considered training data for model design, and 50% of the data were considered test data for model evaluation. The designed model selected open innovation methods with 90% accuracy. Therefore, the presented model is a suitable tool for choosing the open innovation method for the automotive industry.

Keywords

• Open Innovation
• automotive industry
• Open Innovation Methods
• Adaptive network-based fuzzy inference system (ANFIS)

Main Subjects

• Innovation, knowledge management, and organizational learning