Designing an Organizational Innovation Measurement Model withDynamic Network Data Analysis and Applying Fuzzy constraint forWeight Control and Finding a common set of weights (Case Study:Iranian Universities)

Measuring the efficiency of innovation to manage innovation investment inthe era of "knowledge economy" is being considered by more researchers every day. Theevaluation of innovation efficiency helps identify the best innovators for benchmarkingand identifies ways to improve efficiency by identifying the weaknesses. In this paper, anew formulation approach for dynamic network data envelopment analysis is presented toevaluate the efficiency of multi-period and multi-division systems (MPMDS) whilecontrolling the weights.

To prevent facing the black-box of innovation, at the first, a conceptualdynamic network structure of the universities’ innovation was developed, and then, theproposed dynamic network DEA approach is used to overcome the fundamentalshortcomings to control the weights of factors in line with enabling the desiredmanagement weights.

The findings depicted that, among 13 universities surveyed, one university(about 7%), was recognized as efficient in the total process of innovation, and the averageefficiency was equal to 0.79 for universities. In both sub-processes of R&D andapplication, one university (7%) was considered efficient and their average efficiency was0.82 and 0.47, respectively, which indicates the poor performance of universities inimplementation and ideas commercialization. Also, the changes in the average efficiencyof the sub-process of applying the results are quite the opposite of the research anddevelopment sub-process.

The results reflect that the model presented in this study, by solving theconventional DNDEA model problems in weight control, improves the discriminatingpower of efficient and inefficient units.