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Ding Jia

  • About

    • Department: School of Business Administration
    • Gender: female
    • Post:
    • Graduate School: Shanghai Jiao Tong University
    • Degree: Ph.D.
    • Academic Credentials:
    • Tel:
    • Email: jding@fem.ecnu.edu.cn
    • Office:
    • Address:
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    WorkExperience

    2014-2015    BOSCH                                              Sales Planning

    2015-2017    AECC Commercial Aircraft Engine    Strategic Planning

    2021- now    East China Normal University             Lecturer

    Education

    2008-2012    Shanghai Jiao Tong University    Ph.D.

    2012-2014    Georgetown University                Master

    2017-2021    Shanghai Jiao Tong University    Bachelor

    Resume

    Jia Ding is currently a lecturer in the School of Business Adminstation, Faculty of Economics and management, ECNU. She received her Ph.D. degree from Shanghai Jiao Tong University in 2021, and her MSc and BS degrees from Georgetown University in 2014 and Shanghai Jiao Tong University in 2012, respectively. She has rich industrial experience and her research interests include operations management, production planning and control, digital transformation, and the application of AI technology. She has published papers in such journals as European Journal of Operational Research, Advanced Engineering Informatics, and Journal of Management Sciences in China.


    Other Appointments

    N.A.

    Research Fields

    Operations management

    Production planning and control

    Digital transformation

    The application of AI technology

    Enrollment and Training

    Course

    N.A.

    Scientific

    N.A.

    Academic Achievements

    Ding, J., Wang, M., Zeng, X., Qu, W., & Vassiliadis, V. S. 2021. Mass personalization strategy under Industrial Internet of Things: A case study on furniture production. Advanced Engineering Informatics, 50, 101439.

    Ding, J., Wang, M., Ping, Z., Fu, D., & Vassiliadis, V. S. 2020. An integrated method based on relevance vector machine for short-term load forecasting. European Journal of Operational Research, 287(2): 497-510.

    Ding, J., Wan, G. 2020. Review of researches on practice-based production planning and scheduling: A socio-technical systems perspective. Journal of Management Sciences in China, 23(12): 110-123. (in Chinese)


    Honor

    2021        Outstanding Graduates of Shanghai Jiao Tong University

    2020        National Scholarship (Ph.D.)