Shahid Beheshti University Journal of Industrial Management Perspective 2251-9874 9 1 2019 05 22 Designing Organizational Innovation Measuring Model with Dynamic Network DEA (Case Study: Iranian First Level Universities) Designing Organizational Innovation Measuring Model with Dynamic Network DEA (Case Study: Iranian First Level Universities) 9 29 87150 10.52547/jimp.9.1.9 FA Ali Hosein Gharib PhD. Student, Tarbiat Modares University. Adel Azar Professor, Tarbiat Modares University. 0000-0003-2123-7579 Abbas Moghbel Ba Erz Associate Professor, Tarbiat Modares University. Mahmoud Dehghan Nayeri Assistant Professor, Tarbiat Modares University. 0000-0002-7648-2937 Journal Article 2019 09 18 Nowadays the efficiency-o7666riented performance evaluation of complex systems be-comes increasingly important for investment and management decisions. This paper proposes a new formulation approach based on dynamic network DEA (DN–DEA) models for multi-period and multi-division (MPMD) systems to measure and decompose the overall efficiency. Although conventional DEA models provide magnificant modeling idea of efficiency measures in the multi-input and -output contexts, they do not account for the multi-division transformation process of decision-making units (DMUs) and present “black-box” measures of their efficiency scores wich causes incorrect estimates of the efficiency points of the units by ignoring the information about the internal operations of the system. As an illustrative case study, the present research applies the proposed approach to evaluate the efficiencies of 13 universities of Iran over the three-year period and the rate of innovation has been measured according to each division, every period, as well as total innovation. Nowadays the efficiency-o7666riented performance evaluation of complex systems be-comes increasingly important for investment and management decisions. This paper proposes a new formulation approach based on dynamic network DEA (DN–DEA) models for multi-period and multi-division (MPMD) systems to measure and decompose the overall efficiency. Although conventional DEA models provide magnificant modeling idea of efficiency measures in the multi-input and -output contexts, they do not account for the multi-division transformation process of decision-making units (DMUs) and present “black-box” measures of their efficiency scores wich causes incorrect estimates of the efficiency points of the units by ignoring the information about the internal operations of the system. As an illustrative case study, the present research applies the proposed approach to evaluate the efficiencies of 13 universities of Iran over the three-year period and the rate of innovation has been measured according to each division, every period, as well as total innovation. https://jimp.sbu.ac.ir/article_87150_d0d5d2ed3fa94b1c432013d5a7b09a93.pdf