Investigating the Key Indicators of Innovation Evaluation in Production-Oriented Organizations

Innovation can be a source of competitive advantage for companies. Therefore, recognizing and evaluating innovation in manufacturing and service industries is an effective step to start measuring innovation in these industries. Considering the importance of this issue, it is very important to know key dimensions and indicators to measure these innovations. Hence, the purpose of this research is to address each of the main indicators of organizational innovation and discuss the inherent advantages and disadvantages of their deployment separately. In this research, based on the literature review and the opinions of 15 academic experts and manufacturing industry experts, 10 indicators have been categorized as the most important key indicators of innovation evaluation in three general categories of input, intermediary and output. In order to evaluate and prioritize the most important innovation evaluation indicators, a non-linear quantitative analysis based on hierarchical analysis (Mikhailov's method) was used in a fuzzy environment, and for the analysis of cause and effect relationships, the fuzzy Dimetal method was used. The results show that the presence knowledgeable people and the growth of education are the most important indicators in the evaluation of innovation, and therefore, with special emphasis and attention on these indicators, we can witness an increasing growth in the field of innovation in organizations. The amount of effort to register a patent as well as the number of registered patents are among other important indicators in the field of innovation evaluation, which should be given special support in order to develop innovation in organizations. Also, it was found that the protection of innovation during the growth period is the next priority and can be very important in creating a safe environment as well as increasing the peace of technology people in innovative organizations. The analysis of cause and effect relationships using the Dimtel method also showed that the development of knowledge capital and educated people has the highest impact on other factors, which confirms the hierarchical analysis.