Evaluation of Factors Affecting Innovation Productivity by Pythagorean Fuzzy AHP Method

Abstract

Purpose: In this study, it is aimed to rank the factors affecting the innovation productivity of enterprises. Methodology: The Pythagorean Fuzzy Analytical Hierarchy Process (AHP) method, which gives successful results in modelling uncertainty and uses Pythagorean fuzzy sets, is used to rank the factors affecting innovation productivity according to their importance. Findings: In the application part of study firstly, the factors affecting the innovation productivity were determined and as a result of expert evaluations, the steps of the method were applied and the factors were ranked according to their importance. Finally, the most important factors were determined by performing a sensitivity analysis. When the results obtained from the study are examined, it has been determined that the factor of preparing the technology roadmap affects the innovation productivity the most, while the sector and market structure affect the innovation productivity the least among the determined factors. Originality: It is the first study in the literature in which the factors affecting innovation productivity are determined and ranked according to their importance.