Time and Venue
January 6, 2025
K.K.Leung Building, Room 315 (3/F), HKU Business School, The University of Hong Kong, Pok Fu Lam, Hong Kong
Agenda
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Reluctant to decrease: Human-algorithm collaboration in tactical inventory decisions.
Presenter: Jan C. Fransoo (Tilburg) -
30 Million Canvas Grading Records Reveal Widespread Sequential Bias and System-Induced Surname Initial.
Presenter: Zhihan (Helen) Wang (Michigan, PhD Student) -
Machine Learning-Guided Cancer Screening: The Benefits of Proactive Care.
Presenter: Minje Park (HKU)
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Dissecting the Learning Curve for Supply Chain Efficiency and Consistency: An Empirical Analysis.
Presenter: Xiaole Wu (Fudan) -
Green E-commerce: Environmental Impact of Fast Delivery.
Presenter: Jiankun Sun (Imperial College London)
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The Role of Contextual Information in Customer Reviews: A Field Experiment on a Mental Health Platform.
(Presenter: Guang Cheng) -
Internal Credit and External Blame: Attribution Bias in Supply Chain Performance.
(Presenter: Yimeng Niu) -
Tutorial: Secondary Data in Operations Management.
(Presenter: Jing Wu)
Travel and Hotel
Participants will need to plan and pay for their own travel. We recommend the following hotels located near the campus.
Please make your own hotel reservations based on your preferences and budget.
JEN Hong Kong by Shangri-La
Courtyard Hong Kong
One-Eight-One Hotel & Serviced Residences
Sponsorship
HKU Business School
Keynote
Professor of Operations and Technology Management
Co-Director of the Cambridge Centre for Chinese Management
Dipl.-Wirtsch.-Ing. (Darmstadt Institute of Technology), MBA (University of Tennessee, Knoxville), PhD (Stanford Graduate School of Business)
My research interests include how organisations make innovation happen, concurrent engineering and coordination in complex systems, managing novel, uncertain and ambiguous initiatives, resource allocation, portfolio management, performance measurement in R&D, behavioural economics, and manufacturing management and strategy deployment.
I’m a member of the Operations and Technology Management subject group at Cambridge Judge Business School, which focuses on practice-based research through partner organisations to address a wide spectrum of management challenges.
