Empirical Research Workshop for Operations and Technology Management
General Information
The Empirical Research Workshop for Operations and Technology Management is an international, collaborative initiative taking place June 28 & 29, 2023 at the Huabei Hotel, Hangzhou. Host organizers are:
School of Management, Hangzhou Dianzi University
School of Management, Zhejiang University
The Workshop has the following objectives:
- Offer hands-on and cutting-edge sessions over two days to enhance empirical research capabilities of junior scholars and PhD students, supported by senior and experienced scholars in the field; and
- Facilitate research collaborations to advance scientific understanding pertaining to emerging operations and technology management topics.
The Workshop will include tutorial sessions on specific methods for data collection or data analyses and one coaching session in which a select number of workshop attendees will present their full papers and receive feedback to improve their papers before journal submission.
Attendees
The Workshop has a capacity of 40 attendees, excluding Workshop Leaders and sponsors. Attendees are junior scholars and Ph.D. students with interests in empirical research in operations and technology management.
To be eligible for presenting in the coaching session, attendees are encouraged but not required to submit a full unpublished working paper as part of registering for the Workshop. Because of the limited number of seats, attendees will be selected, given preference to those who have submitted a full unpublished working paper and the quality of the working paper.
Please submit your working paper to Ms. Wu (wuge@zju.edu.cn).
Workshop Fee
The Workshop registration fee is Chinese Yuan 2,000 for non-DSI members and Chinese Yuan 1,650 for DSI members.
To book the workshop, please visit this link:
https://www.wjx.top/vm/PZkCW7o.aspx
If you have any inquiry, please feel free to contact us.
Contacts:
Lin Shumin, Tel: 188 1722 9395, linshumin@hdu.edu.cn
Han Jiayuan, Tel: 138 6747 7701, han.jiayuan@hdu.edu.cn
Speakers
Yan Dong
– Distinguished Moore Research Fellow and Professor, University of South Carolina
– Ph.D., University of Maryland
– Senior Editor, Production and Operations Management
– Associate Editor, Journal of Operations Management
– Department Editor, Decision Sciences
– Papers published in Management Science, Manufacturing & Service Operations Management, Production and Operations Management, Journal of Operations Management, Marketing Science, Information Systems Research, etc.
Yongyi Shou
– Professor, Zhejiang University
– Ph.D., Nanyang Technological University
– Regional Editor, Journal of Supply Chain Management
– Regional Editor, International Journal of Logistics
– Papers published in Production and Operations Management, International Journal of Operations & Production Management, IEEE Transactions on Engineering Management, etc.
Jing Wu
– Associate Professor, Chinese University of Hong Kong
– Ph.D., University of Chicago
– Senior Editor, Production and Operations Management
– Associate Editor, Manufacturing & Service Operations Management
– Papers published in Management Science, Manufacturing & Service Operations Management, Production and Operations Management, etc.
Liang Xu
– Assistant Professor, Singapore Management University
– Ph.D., Pennsylvania State University
– Papers published in Manufacturing & Service Operations Management, Production and Operations Management, et
Fan Zou
– Assistant Professor, Pennsylvania State University
– Ph.D., University of South Carolina
– Papers published in Manufacturing & Service Operations Management, Journal of Operations Management, etc.
Agenda
| June 28 | June 29 |
|---|---|
| Empirical research in supply chains and global sourcing Speaker: Jing Wu | Supply chain network analysis Speaker: Yan Dong and Yongyi Shou |
| Behavorial operations management Speaker: Liang Xu | Working paper presentation and coaching |
| Causal analysis in operations management Speaker: Fan Zou | |
| This is a tentative agenda and may be updated later. |