导师简介——于娱

发布时间:2021-08-06浏览次数:1214

姓名:于娱

政治面貌:中共党员

最后学位:管理学博士

职称:副教授

研究领域:评价理论与方法,创新管理

办公室:-

电话:13701462785

E-mailyu.yu@nau.edu.cn

学习简历

2005.9-2009.7 南京邮电大学工商管理管理学学士

2009.9-2012.4 南京邮电大学管理科学与工程管理学硕士

2012.9-2016.6 河海大学管理科学与工程管理学博士

2014.9-2015.8 加拿大麦吉尔大学运筹管理国家公派联合培养博士

工作简历

2016.07–现在南京审计大学教师

主持课题

1. 主持人,国家自然科学基金面上项目,面向产业安全的产业创新生态系统韧性内涵、评价与优化策略研究(项目编号:72171122

2. 主持人,国家自然科学基金青年项目,跨界知识重混下企业颠覆性绿色创新绩效评价与提升策略研究(项目编号:71801133

发表论文

1. Yu, Y., Khezrimotlagh, D. Embedding Best-Worst Method into Data Envelopment Analysis. Asia-Pacific Journal of Operational Research. (Accepted)

2. Yu, Y., Zhang, C., Zhu, W., Park, S., & Shi, Q. (2021). Identifying the driving factors of water consumption from water-energy-food nexus in the Yangtze River Delta region, China. Environmental Science and Pollution Research, 28, 48638–48655

3. Yu, Y., Zhou, X., Zhu, W., & Shi, Q. (2021). Socioeconomic driving factors of PM2.5 emission in Jing-Jin-Ji region, China: a generalized Divisia index approach. Environmental Science and Pollution Research, 28(13), 15995–16013.

4. Zhu, W., Liu, B., Lu, Z., & Yu, Y.* (2021). A DEALG methodology for prediction of effective customers of internet financial loan products. Journal of the Operational Research Society, 72(5), 1033–1041. (通讯作者)

5. Zhu, W., Zhu, Y., Lin, H., & Yu, Y.* (2021). Technology progress bias, industrial structure adjustment, and regional industrial economic growth motivation —— Research on regional industrial transformation and upgrading based on the effect of learning by doing. Technological Forecasting and Social Change, 170, 120928. (通讯作者)

6. Yu, Y., Zhu, W., Shi, Q., & Zhuang, S. (2021). Common set of weights in data envelopment analysis under prospect theory. Expert Systems, 38(1), 1–10.

7. Zhou, X., Yu, Y.*, Yang, F., & Shi, Q. (2021). Spatial-temporal heterogeneity of green innovation in China. Journal of Cleaner Production, 282, 124464. (通讯作者)

8. Zhu, W., Zhu, Y., & Yu, Y.* (2020). China’s regional environmental efficiency evaluation: a dynamic analysis with biennial Malmquist productivity index based on common weights. Environmental Science and Pollution Research, 27(32), 39726–39741. (通讯作者)

9. Zhang, C., Wu, Y., & Yu, Y.* (2020). Spatial decomposition analysis of water intensity in China. Socio-Economic Planning Sciences, 69, 100680. (通讯作者)

10. Yu, Y., Zhu, W., & Zhang, Q. (2019). DEA cross-efficiency evaluation and ranking method based on interval data. Annals of Operations Research, 278(1–2), 159–175.

11. Zhu, W., Yu, Y.*, & Sun, P. (2018). Data envelopment analysis cross-like efficiency model for non-homogeneous decision-making units: The case of United States companies’ low-carbon investment to attain corporate sustainability. European Journal of Operational Research, 269(1), 99–110. (通讯作者)

12. Yu, Y., Zhu, W., Shi, Q., & Zhang, Q. (2016). Network-like DEA approach for environmental assessment: Evidence from U.S. manufacturing sectors. Journal of Cleaner Production, 139, 277–286.

13. Yu, Y., Wang, D. D., Li, S., & Shi, Q. (2016). Assessment of U.S. firm-level climate change performance and strategy. Energy Policy, 92, 432–443.

14. Yu, Y., & Shi, Q. (2014). Two-stage DEA model with additional input in the second stage and part of intermediate products as final output. Expert Systems with Applications, 41(15), 6570–6574.

15. Yu, Y., Shi, Q. F., & Song, J. (2013). A note on some alternative DEA models for two-stage process. Expert Systems with Applications, 40(10), 4268–4269.

16. 于娱,朱卫未,施琴芬. 含有偏好的DEA-BWM评价方法研究[J].运筹与管理,2022,9:147-152+168.

17. 于娱,施琴芬,朱卫未. 高校科研团队内部隐性知识共享绩效实证研究[J]. 科学学与科学技术管理,2013,10:21-30.

18. 于娱,施琴芬,朱卫未. 我国高校知识价值增值效率研究——基于数据包络模型分析[J]. 科技进步与对策,2012,15:131-135.

19. 于娱,施琴芬. 有限理性视角下组织间隐性知识共享博弈研究[J]. 情报杂志,2011,11:110-114+86.

20. 于娱,施琴芬,朱卫未. 学习型组织中隐性知识共享仿真研究[J]. 情报理论与实践,2011,11:67-71.

科研奖励

第十五届江苏省哲学社会科学优秀成果三等奖(排二)

出版著作

1. Yu, Y., Chen, Y. Shi, Q. Strategy and Performance of Knowledge Flow: University-Industry Collaborative Innovation in China[M]. Springer,2018

2. Joe Zhu,于娱,朱卫未,David Sherman. 绩效与审计评估方法及应用[M]. 科学出版社,2018.

3. 朱卫未,王娟,于娱. 高质量发展综合评价与实现路径研究[M]. 人民出版社,2022.