Shahid Beheshti University Journal of Industrial Management Perspective 2251-9874 11 2 2021 06 22 Comparative-fuzzy Analysis of National Innovation Capability Based on Results of Dynamic Network DEA Model Comparative-fuzzy Analysis of National Innovation Capability Based on Results of Dynamic Network DEA Model 207 246 101163 10.52547/jimp.11.2.207 FA Mohammad Ali Torabandeh Ph.D Student, Shahid Beheshti University. Behrouz Dorri Nokorani Professor, Shahid Beheshti University. 0009-0001-4580-9511 Alireza Motameni Associate Professor, Shahid Beheshti University. Masood Rabieh Assistant Professor, Shahid Beheshti University. Journal Article 2021 03 01 In this article, by presenting the scope of national innovation capability in the context of a multi-sector system, a dynamic network model is introduced. In this system, to identify Iran's performance problem, at first by bibliometric studying and holding focus group sessions with experts, the steps and indicators of the processed model were identified and designed. Then, the dynamic network data envelopment analysis model was implemented to compare Iran's performance with other countries. The model results indicated that Iran's national innovation capability has a poor performance in the third phase of its three steps that include converting patents to high-tech products and creative goods. Then, to present the proposed policy to enhance Iran’s performance in the third step of the mentioned model, by using qualitative comparative analysis of fuzzy set (fSQCA), the combinations of institutional, human capital and research, infrastructure, market sophistication, and business sophistication dimensions were investigated. For calibration of these data, K-MEANS clustering method was used. The output of the mentioned comparative analysis indicated that the combination of the two dimensions of institutions and human capital and research in promoting the country's performance is sufficient. In this article, by presenting the scope of national innovation capability in the context of a multi-sector system, a dynamic network model is introduced. In this system, to identify Iran's performance problem, at first by bibliometric studying and holding focus group sessions with experts, the steps and indicators of the processed model were identified and designed. Then, the dynamic network data envelopment analysis model was implemented to compare Iran's performance with other countries. The model results indicated that Iran's national innovation capability has a poor performance in the third phase of its three steps that include converting patents to high-tech products and creative goods. Then, to present the proposed policy to enhance Iran’s performance in the third step of the mentioned model, by using qualitative comparative analysis of fuzzy set (fSQCA), the combinations of institutional, human capital and research, infrastructure, market sophistication, and business sophistication dimensions were investigated. For calibration of these data, K-MEANS clustering method was used. The output of the mentioned comparative analysis indicated that the combination of the two dimensions of institutions and human capital and research in promoting the country's performance is sufficient. https://jimp.sbu.ac.ir/article_101163_07868a521b500921b2b175e0cb93b163.pdf