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...

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Detalles Bibliográficos
Autores: Mastrocinque , Ernesto, Lamberti , Emilia, Ramírez Fernández, Francisco Javier, Petrovic , Dobrila
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
Descripción
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.