戴菁 教授

诺丁汉大学商学院(中国)运营管理学教授 ,麻省理工学院SCLAE - 宁波诺丁汉大学供应链管理硕士项目联合主任

宁波诺丁汉大学
Staff Profile Portrait Image


联系方式

办公室

IEB - 433室

校园

宁波诺丁汉大学

地址

浙江省宁波市泰康东路199号

电话

+86 (0)574 8818 0000 转 8179

学历

供应链管理博士(美国爱荷华州立大学)

物流学硕士(新加坡南洋理工大学)

交通运输规划和管理硕士(上海海事大学)

海事经济本科(上海海事大学)

专业资格

宁波市供应链创新与应用专家委员会委员


个人简介

戴菁教授目前是诺丁汉大学商学院(中国)运营管理学教授。她在美国爱荷华州立大学取得了供应链管理学的博士学位,并荣获该校最佳博士毕业生科研奖。在加入宁诺商学院之前,戴教授曾是美国西康涅狄格州立大学的助理教授和新加坡南洋理工大学海事研究中心的研究员。

戴菁教授的研究兴趣主要为绿色供应链和供应链创新。她曾在很多著名期刊上发表过文章,如Journal of Operations Management, Decision Sciences, IEEE Transactions on Engineering Management, Industrial Marketing Management, International Journal of Operations and Production Management, International Journal of Production Economics, International Journal of Production Research, Journal of Business Logistics, Journal of Business Research, Transportation Research Part E: Logistics and Transportation Review。在2012年,她荣获《运营管理》杂志的最佳文章奖。她还是Transportation Research Part E: Logistics and Transportation Review的特刊主编,主编了“一带一路下的物流和供应链创新”。

戴教授已经主持两项国家自然科学基金项目,以及参与其他省部级、市级多项项目。在2017年,她被任命为中国自动化学会经济与管理系统专业委员会“可持续供应链管理”特别委员;2019年,她被任命为宁波市供应链创新与应用专家委员会特聘专家。此外,她主讲的《商业决策中的管理科学导论》被认定为2019年本科高校省级一流课程。


教学

本科

  • 商业决策中的管理科学导论
  • 质量管理
  • 管理学2
  • 商学院毕业论文

研究生

  • 实践中的供应链管理

研究方向

  • 绿色供应链管理
  • 可持续运营
  • 新技术和供应链创新
  • 物流管理和海事研究

奖项 / 专利

  • 2019年本科高校省级一流课程 《商业决策中的管理科学导论》
  • 宁波市领军和拔尖人才(第二层次),2019
  • 杰出表现奖,宁波诺丁汉大学, 2019 & 2018
  • 宁波市领军和拔尖人才(第三层次), 2017
  • 2012 《Journal of Operations Management》最佳论文奖,2013
  • 杰出博士生科研,美国爱荷华州立大学奖,2013
  • 博士全奖,美国爱荷华州立大学,2009 – 2013

发表文章

学术论文

  • Li, G., Wu H., and Dai J. 2020 Production Sourcing Strategy for an Apparel Original Brand Manufacturer in the Presence of Technology Spillover, IEEE Transactions on Engineering Management, In press.
  • Cui, L., Gao, M., Dai, J. and Mou, J. 2020, Improving supply chain collaboration through operational excellence approaches: an IoT perspective, Industrial Management & Data Systems, In press
  • Li Y., Dai J., Cui L., 2020 The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model, International Journal of Production Economics, 229
  • Chan H.K., Dai J., Wang X., and Lacka E., 2019 Logistics and supply chain innovation in the context of the Belt and Road Initiative (BRI), Transportation Research Part E: Logistics and Transportation Review, 132, 51-56.
  • Dai J., Che, W., Lim J., and Shou, Y., 2019 Service innovation of cold chain logistics service providers: A multiple-case study in China, Industrial Marketing Management, In Press
  • Cui L., Zhai M., and Dai, J., 2019 Assessing sustainability performance of high-tech firms through a hybrid approach, Industrial Management & Data Systems, 119(8), 1581-1607
  • Li Y., Ye F., Dai J., Zhao X., and Sheu C., 2019 The adoption of green practices by Chinese firms: Assessing the determinants and effects of top management championship, International Journal of Operations & Production Management, 39(4), 550-572
  • Dai J., Chan H.K., and Yee R., 2018 Examining the Moderating Effect of Flexibility-Control Orientation on the Relationship between Market Pressures and Corporate Environmental Proactivity, Industrial Marketing Management, 74, 227-236
  • Shou, Y., Che, W., Dai, J., and Jia, J., 2018 Inter-organizational fit and environmental innovation in supply chains: a configuration approach, International Journal of Operations and Management,  38(8), 1683-1704
  • Cui, L., Chan, H.K., Zhou, Y., Dai, J., and Lim, J. 2018 Exploring critical factors of green business failure based on Grey-Decision Making Trial and Evaluation Laboratory (DEMATEL), Journal of Business Research, 98, 450-461
  • Zhang, Tse M., Dai, J.and Chan, H.K. Examining green supply chain management and financial performance: roles of social control and environmental dynamism, IEEE Transactions on Engineering Management, PP(99), 1-15.
  • Dai, J., Cantor, D. and Montabon, F., 2017. Examining Corporate Environmental Proactivity and Operational Performance:  A Strategy-Structure-Capabilities-Performance Perspective, International Journal of Production Economics, 193, 272-280
  • Chan, H. K., Yee, R. W. Y., Dai, J., and Lim, M. K., 2016. The Moderating Effect of Environmental Dynamism on Green Product Innovation and Performance. International Journal of Production Economics, 181, 384-391.  
  • Dai, J., Cantor, D. and Montabon, F., 2015. How Environmental Management Competitive Pressure Affects a Focal Firm's Environmental Innovation Activities: A Green Supply Chain Perspective. Journal of Business Logistics, 36(3), 242–259. 
  • Lam, J.S.L. and Dai, J., 2015. Developing supply chain security design of logistics service providers: An analytical network process-quality function deployment approach. International Journal of Physical Distribution & Logistics Management, 45(7), 674-690.
  • Lam, J.S.L. and Dai, J., 2015. Environmental Sustainability of Logistics Service Providers: An ANP-QFD Approach. International Journal of Logistics Management, 26(2), 313-333.
  • Dai, J., Montabon, F. and Cantor, D., 2014. Linking Rival and Stakeholder Pressure to Green Supply Management: Mediating Role of Top Management Support. Transportation Research Part E: Logistics and Transportation Review, 71, 173-187. Reprinted in the special issue “Green Supply Chain Collaboration and Incentives” in 2015.
  • Suzuki, Y. and Dai, J., 2013. Decision Support System of Truck Routing and Refueling: A Dual-Objective Approach. Decision Sciences, 44 (5), 817–842. 
  • Hofer, C., Cantor, D. and Dai, J., 2012. The Competitive Determinants of a Firm’s Environmental Management Activities: Evidence from US Manufacturing Industries.  Journal of Operations Management, 30(1-2), 69-84. Winner of 2012 Jack Meredith Best Paper Award
  • Dai, J. and Blackhurst, J., 2012. A Four-phase AHP-QFD Approach for Supplier Assessment: A Sustainability Perspective. International Journal of Production Research, 50 (19), 5474-5490.  
  • Suzuki, Y. and Dai, J., 2012. Reducing the Fuel Cost of Motor Carriers by Using Optimal Routing and Refueling Policies. Transportation Journal, 51(2), 145-163.  
  • Lam, J.S.L. and Dai, J., 2012. A Decision Support System for Port Selection. Transportation Planning and Technology, 35(4), 509-524. 
  • 林瑞海, 戴菁, 林筱莉, 2008. 港口选择的决策支持系统模型研究. 宁波大学学报(人文科学版), 21(4), 83-89.
  • 戴菁, 2005. 货主选择航运承运人的综合评判研究. 水运管理, 27(1), 6-8.
  • 戴菁,金煜, 2004. 从博弈论视角看干散货联营体的形成. 物流科技, 27(12), 35-38.
  • 戴菁, 2004. 逆向物流网络设计与库存控制模型述评. 商业经济与管理, 157(11), 22-24.
  • 戴菁, 2004. 上海经济与交通运输:解释及其检验. 宁波大学学报(人文科学版), 17(6), 109-113.  
  • 戴菁,金煜, 2004. 试论干散货船公司的联营. 世界海运, 27(6), 23-25.
  • 戴菁, 2003. 条形码技术的国际发展趋势及我国的对策.宁波大学学报(理工版), 16(3), 317-319.

著书章节

  • Cui, L, Dai, J., Lei Z., Lim J., and Sun, Z., 2019 Innovative Talent Development in Chinese Universities under the Belt and Road Initiative, in International Flows and the Belt and Road Initiative: People, Ideas and History, Palgrave Macmillan Publishers
  • Dai, J., Chan, H.K., Lim J. and Zeng, F., 2018, The Interplay of Green Marketing and Sustainable Supply Chain Management, in J. Sarkis (ed.) Handbook on Sustainable Supply Chains, Edward Elgar Publishers

科研项目 / 研究基金

国家级

  • 2018 National Natural Science Foundation of China and British Council Newton Fund (NSFC-BC) Jointly funded on “Environmental technology innovation for greening supply Chains”, awarded on May 2018 as Principal Investigator (RMB150,000 from NSFC & £20,000 from Newton Fund).
  • 2017 National Natural Science Foundation of China (NSFC) on “Exploring green supply chain management: strategy-structure-capability-performance perspective”, awarded in August, 2016 as Principal Investigator, (RMB200,500).

省部级

  • 2017 Major Project, Chinese Academy of Social Science (CASS)-Ningbo collaborative grants on “Capital Flows and Made in China 2025 in Ningbo” awarded in September 2017 as Co-Investigator (RMB300,000)

市级

  • 2018 Major Collaboration Programme, Ningbo Science and Technology Bureau on “Unified Information System Based Supply Chain Integration and Optimisation for Intermodal Transportation: A Study on Ningbo Port”, awarded on January 2018 as Co-Investigator (RMB500,000)
  • 2016 Ningbo Soft Science Programme on “To improve intelligent Port Logistics Capability: Port Data Management System and Related Government Policy Recommendations Report”, awarded in December 2015 as Co-Investigator (RMB 80,000).

国际合作

  • 2016 Danish Ministry of Higher Education and Science, International Network Programme on “Next generation cold supply chains in Denmark and China”, awarded in December 2015 as Co-Investigator (DKK286,574)