Performance Evaluation of Organizational Innovation Creation System by Network Data Envelopment Analysis with Random Input and Output

In the field of improving organizational performance, innovation creation systems are of great importance, and evaluating the performance of these systems is also very important. Using data envelopment analysis as a quantitative method for performance evaluation allows organizations to examine the performance of different units according to their inputs and outputs. In this study, due to the presence of random inputs and outputs, the accuracy and validity of the evaluation results increase, and a better analysis of the performance of innovation systems can be achieved. In the present study, the performance of the organizational innovation creation system is evaluated using network data envelopment analysis with random inputs and outputs. This study was conducted with the approach of examining and comparing the efficiency of knowledge-based companies in terms of establishing an innovation creation system, and the mixed network data envelopment analysis technique with random inputs and outputs was used to examine the efficiency. In addition, the companies were prioritized using the Anderson-Patterson method.