Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
TD12 - FL8: Flash: Services 2
Time:
Tuesday, 28/June/2022:
TD 16:00-17:30

Session Chair: Donghao Zhu
Location: Forum 16


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Presentations

Search and matching for adoption from foster care

Nils Olberg1, Ludwig Dierks1, M. Utku Ünver2, Vincent W. Slaugh3, Sven Seuken1

1University of Zurich; 2Boston College; 3Cornell University

We perform a game-theoretic analysis of two approaches to finding adoptive parents for children in foster care. We develop a new search-and-matching model and provide analytical results that suggest several advantages of having children's caseworkers drive the search process rather than prospective parents. Numerical case studies show that caseworker-driven search can result in both reduced search efforts and better matches for children.



Courier sharing in food delivery

Arseniy Gorbushin1, Yun Zhou2, Ming Hu1

1Rotman School of Management; 2Degroote School of Business

The food delivery market migrates to platforms that allow optimizing courier routing by sharing couriers among many restaurants. We address the question: how courier sharing contribute to the reduction of delivery costs? We consider a spatial queuing model in which couriers are servers. We show that in several scenarios dedicated courier system achieves higher profit than a shared courier system. This result can be attributed to the imbalance in the courtier allocation that sharing creates.



Serving advanced booking customers in platforms: Analysis of commission rate contracts

Neha Sharma1, Achal Bassamboo1, Milind Sohoni2, Sumanta Singha2

1Northwestern University, United States of America; 2Indian School of Business, India

Many platforms let guests reserve assets ahead of the rental start time. We find that this feature also allows hosts to decide when to create a listing of their asset, especially given most platforms use a commission contract along with dynamic prices. We use a game-theoretic framework to model such platforms. We theoretically find conditions where the hosts withhold asset availability information and find empirical support for the same. We find the optimal contract for such platforms.



Selling personalized upgraded substitutes and co-purchases in online grocery retail

Gah-Yi Ban1, M. Hichame Benbitour2, Boxiao Beryl Chen3

1University of Maryland; 2Ecole de Management de Normandie; 3College of Business Administration, University of Illinois Chicago

We propose, analyze and solve three decision optimization models for online retailers to make personalized upgraded substitution and co-purchase recommendations. Specifically, we explore: (i) pure expected revenue maximization, (ii) maximization of a weighted average of the expected revenue and the expected consumer surplus, and (iii) maximization of the expected revenue with a constraint on the minimum expected size of the shopping basket.



 
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