Designing an Organizational Innovation Measurement Model with Dynamic Network Data Analysis and Applying Fuzzy constraint for Weight Control and Finding a common set of weights (Case Study: Iranian Universities) | ||
| Industrial Management Journal | ||
| دوره 12، شماره 3، 2020، صفحه 373-394 اصل مقاله (1.16 M) | ||
| نوع مقاله: Original Research Article | ||
| شناسه دیجیتال (DOI): 10.22059/imj.2020.304824.1007749 | ||
| نویسندگان | ||
| Ali Hosein Gharib1؛ Adel Azar* 2؛ Mahmoud Dehghan Nayeri3 | ||
| 1Ph.D. Candidate, Department of Industrial Management, Faculty of Management and Economic, Tarbiat Modares University, Tehran, Iran. | ||
| 2Prof., Faculty of Management and Economic, Tarbiat Modares University, Tehran, Iran. | ||
| 3Assistant Prof., Faculty of Management and Economic, Tarbiat Modares University, Tehran, Iran. | ||
| چکیده | ||
| Objective: Measuring the efficiency of innovation to manage innovation investment in the era of "knowledge economy" is being considered by more researchers every day. The evaluation of innovation efficiency helps identify the best innovators for benchmarking and identifies ways to improve efficiency by identifying the weaknesses. In this paper, a new formulation approach for dynamic network data envelopment analysis is presented to evaluate the efficiency of multi-period and multi-division systems (MPMDS) while controlling the weights. Methods: To prevent facing the black-box of innovation, at the first, a conceptual dynamic network structure of the universities’ innovation was developed, and then, the proposed dynamic network DEA approach is used to overcome the fundamental shortcomings to control the weights of factors in line with enabling the desired management weights. Results: The findings depicted that, among 13 universities surveyed, one university (about 7%), was recognized as efficient in the total process of innovation, and the average efficiency was equal to 0.79 for universities. In both sub-processes of R&D and application, one university (7%) was considered efficient and their average efficiency was 0.82 and 0.47, respectively, which indicates the poor performance of universities in implementation and ideas commercialization. Also, the changes in the average efficiency of the sub-process of applying the results are quite the opposite of the research and development sub-process. Conclusion: The results reflect that the model presented in this study, by solving the conventional DNDEA model problems in weight control, improves the discriminating power of efficient and inefficient units. | ||
| کلیدواژهها | ||
| Dynamic Network Data Envelopment analysis؛ Innovation Process؛ Weight Controlling؛ Common Set of Weights | ||
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آمار تعداد مشاهده مقاله: 950 تعداد دریافت فایل اصل مقاله: 930 |
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