Publications
Publications
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- Faculty Publications (8)
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- July–August 2023
- Article
Demand Learning and Pricing for Varying Assortments
By: Kris Ferreira and Emily Mower
Problem Definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, e.g., due to limited inventory, perishable or time-sensitive products, or the retailer’s desire to... View Details
- January–February 2023
- Article
Forecasting COVID-19 and Analyzing the Effect of Government Interventions
By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
- 2021
- Working Paper
Time Dependency, Data Flow, and Competitive Advantage
Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government... View Details
- Article
Selling After the Crisis
Like perishable goods in grocery stores, sales models have a sell-by date. As product standards evolve and new entrants emerge, buyers have more choices and demand more in terms of quality and performance across vendors. Firms that fail to adjust to changing customer... View Details
- January 2021 (Revised October 2021)
- Case
Ken Talbot—Cautionary Tale in Estate Planning
By: Christina R. Wing and Faith Lyons
In 2010, Ken Talbot, a self-made Australian billionaire, was traveling throughout Africa to bring his innovative coal technology to the continent when he perished in a plane crash. His will was originally created years prior when his estate worth was estimated to be AU... View Details
- 2020
- Working Paper
Reverse Information Sharing: Reducing Costs in Supply Chains with Yield Uncertainty
By: Pavithra Harsha, Ashish Jagmohan, Retsef Levi, Elisabeth Paulson and Georgia Perakis
Supply uncertainty in produce supply chains presents major challenges to retailers. Supply shortages create frequent disruptions in terms of promised delivery times, quantity and quality delivered. To alleviate these challenges, dual sourcing--a strategy in which... View Details
- September 2020
- Case
Disrupting Justice at RightNow: Persevere, Pivot or Perish
By: Shikhar Ghosh and Amir Reza Rezvani
The case examines the focus of an early stage company, and how an unexpected external incidence can threaten or void the business model. It encompasses issues such as defining and pivoting a business model, organizational requirements for a pivot, investor relations,... View Details
- 2021
- Working Paper
Time and the Value of Data
By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti
Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details