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- Faculty Publications (4)
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- March 2022
- Article
Learning to Rank an Assortment of Products
By: Kris Ferreira, Sunanda Parthasarathy and Shreyas Sekar
We consider the product ranking challenge that online retailers face when their customers typically behave as “window shoppers”: they form an impression of the assortment after browsing products ranked in the initial positions and then decide whether to continue...
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Keywords:
Online Learning;
Product Ranking;
Assortment Optimization;
Learning;
Internet and the Web;
Product Marketing;
Consumer Behavior;
E-commerce
Ferreira, Kris, Sunanda Parthasarathy, and Shreyas Sekar. "Learning to Rank an Assortment of Products." Management Science 68, no. 3 (March 2022): 1828–1848.
- 2021
- Working Paper
The Allocation of Socially Responsible Capital
By: Daniel Green and Benjamin N. Roth
Portfolio allocation decisions increasingly incorporate social values. The most common of these strategies are misguided. We develop a tractable framework in which commercial and social investors compete, and identify alternative strategies for social investors that...
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Keywords:
Socially Responsible Investing;
Assets;
Resource Allocation;
Social Issues;
Decision Making;
Strategy;
Framework
Green, Daniel, and Benjamin N. Roth. "The Allocation of Socially Responsible Capital." Working Paper, July 2021. (Revised November 2021.)
- 2020
- Working Paper
No Line Left Behind: Assortative Matching Inside the Firm
By: Achyuta Adhvaryu, Vittorio Bassi, Anant Nyshadham and Jorge Tamayo
How do firms pair workers with managers, and which constraints affect the allocation of labor within the firm? We characterize the sorting pattern of managers to workers in a large readymade garment manufacturer in India and then explore potential drivers of the...
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Keywords:
Assortative Matching;
Productivity;
Global Buyers;
Readymade Garments;
Management;
Employees;
Performance Productivity
Adhvaryu, Achyuta, Vittorio Bassi, Anant Nyshadham, and Jorge Tamayo. "No Line Left Behind: Assortative Matching Inside the Firm." Harvard Business School Working Paper, No. 20-103, March 2020.
- Forthcoming
- 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...
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Keywords:
Experiments;
Pricing And Revenue Management;
Retailing;
Demand Estimation;
Pricing Algorithm;
Marketing;
Price;
Demand and Consumers;
Mathematical Methods
Ferreira, Kris, and Emily Mower. "Demand Learning and Pricing for Varying Assortments." Manufacturing & Service Operations Management (forthcoming).