Jing Dai

Professor in Operations Management, Co-Programme Director of MIT SCALE Nottingham Ningbo Masters in Supply Chain Management

Nottingham University Business School China
Staff Profile Portrait Image


Contact

Office

Room 433, IEB

Campus

University of Nottingham Ningbo China

Address

199 Taikang East Road, Ningbo, 315100, China

Telephone

+86 (0)574 8818 0000 ext. 8179

Qualifications

PhD (Iowa State University, USA)

Certificate in Quantitative Psychology (Iowa State University, USA)

MSc (Nanyang Technological University, Singapore) 

MSc (Shanghai Maritime University, China)

BA (Shanghai Maritime University, China)

Professional Qualifications

Expert Committee Member of the Ningbo Municipal Commerce Bureau "Supply Chain Innovation and Applications Committee"


Biography

Professor Jing Dai is a Professor in Operations Management.  She is the recipient of Excellence Research Award at Iowa State University, USA where she earned a PhD in Supply Chain Management. Prior to joining NUBS, she was an assistant professor at Western Connecticut State University, USA and a research fellow at Nanyang Technological University, Singapore. Her research interest is in the fields of Green Supply Chain Management, and Supply Chain Innovation. Professor Dai has published her research in leading journals such as 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, among others.  She was guest editor on “Logistics and supply chain innovation in the context of the Belt and Road Initiative” on Transportation Research Part E: Logistics and Transportation Review. She received 2012 Best Paper Award in the Journal of Operations Management.

Professor Dai was a​warded Two National Natural Science Foundation of China (NSFC) Grants as principal investigator and other external grants as well. In 2017, she was appointed as the Committee Member of Special Interest Group on "Sustainable Supply Chain Management” of Academic Department of Economics and Management, Chinese Associate of Automation. In 2019, she was appointed as the Expert Committee Member of the Ningbo Municipal Commerce Bureau “Supply Chain Innovation and Applications Committee".  She is also course leader of Provincial first class course “Introduction to Management Science for Business Decisions”.


Teaching

Undergraduate

  • Introduction to Management Science for Business Decisions
  • Management Studies 2
  • Management of Quality
  • Business School Dissertation 

Postgraduate

Supply Chain Management in Practice


Research interests

  • Green supply chain management
  • Sustainable operations
  • New technology and supply chain innovation
  • Logistics management and Maritime studies

Awards / Patents

  • Provincial first class course “Introduction to Management Science for Business Decisions” 2019
  • Ningbo Municipal Leading and Top Talent (Level 2), 2019
  • Exceptional Performer Award, University of Nottingham Ningbo China, 2019 & 2018
  • Ningbo Municipal Leading and Top Talent (Level 3), 2017
  • Winner for 2012 Jack Meredith Best Paper Award, Journal of Operations Management, 2013
  • Graduate Research Excellence Award, Iowa State University, USA, 2013
  • Doctoral Fellowship, Iowa State University, USA, 2009 – 2013

Publications

Referred Journals

  • 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.

Book Chapter

  • 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

Funded projects / Research grants

National Level

  • 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).

Provincial Level

  • 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)

Municipal Level

  • 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).

International Collaboration

  • 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)