第25期:Innovation performance evaluation for high-tech companies using a dynamic network data envelopment analysis approach

发布者:国际商学院发布时间:2020-12-15浏览次数:485

题目: Innovation performance evaluation for high-tech companies using a dynamic network data envelopment analysis approach
主讲人:俞安愚助理教授
时间:2020-12-17 14:00-15:00
地点:综合楼526
摘要:

This study examines innovation performance of high-tech companies in China, using a dynamic network data envelopment analysis (DEA) approach. The innovation process is decomposed into a research and development (R&D) stage and a commercialization stage. In addition, innovation is conceptualized as a consecutive event that goes through multiple time intervals, requiring a dynamic structure of the methodological framework. Using a newly developed dynamic network DEA, the current study calculates a R&D performance index and a commercialization index for the R&D stage and commercialization stage, respectively. The multi-process innovation system is integrated with dynamic carryover items. This results in a highly non-linear dynamic network DEA model. Second order cone programming and nested partitions strategies are employed to solve the nonlinear dynamic network DEA model. Our empirical study indicates disparities in innovation performance among different Chinese high-tech companies. The innovation heterogeneity and inefficient performance sources are also investigated.





主讲人简介:

Dr. Anyu Yu received his Ph.D. degree in Management Science and Engineering from the Tongji University. He has recently participated in the International Business School at Zhejiang Gongshang University as an assistant professor. His current research interests focus on sustainable operations, performance analysis, and data mining. His research works have been published in several international journals such as European Journal of Operational Research, Annals of Operations Research, Journal of the Operational Research Society, Applied Energy, and Journal of Productivity Analysis.