Measuring open innovation under uncertainty: A fuzzy logic approach
Open innovation has received growing interest in recent years, both in academia and industry. Currently, assessing the degree of openness of a company’s innovation process can be highlychallenging due to many qualitative and quantitative factors with different units of measurements involved in the e...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universidad de Castilla-La Mancha |
| Repositorio: | RUIdeRA. Repositorio Institucional de la UCLM |
| OAI Identifier: | oai:ruidera.uclm.es:10578/43333 |
| Acceso en línea: | https://www.sciencedirect.com/science/article/pii/S0923474822000030 https://hdl.handle.net/10578/43333 |
| Access Level: | acceso abierto |
| Palabra clave: | Fuzzy inference system Fuzzy logic Innovation metrics Open innovation Rule based system Uncertainty |
| Sumario: | Open innovation has received growing interest in recent years, both in academia and industry. Currently, assessing the degree of openness of a company’s innovation process can be highlychallenging due to many qualitative and quantitative factors with different units of measurements involved in the evaluation process. Moreover, the open innovation assessment process is affectedby vagueness and uncertainty. In this paper, starting from a thorough review of the open innovation literature and following a holistic approach to open innovation assessment, a novel modular fuzzy rule based system is developed in order to help managers to evaluate the openness of their company. The proposed system allows the decision maker to assess the open innovation level of the firm by providing 19 input variables. The information is then processed by the system through 231 rules in order to compute sub-dimensions, dimensions, building blocks and finally the total degree of open innovation. Furthermore, the proposed system was tested using numerical examples and two real-world case studies of two companies. The results showed the capability of the system to assess open innovation in different scenarios, allowing the decision maker to identify the areas with strengths and weaknesses. |
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