Publications
Publications
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- Faculty Publications (216)
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- April 1993 (Revised June 1994)
- Supplement
MathSoft, Inc. (B)
Describes the president's decision regarding MathSoft's marketing channels and communications methods, and the company's sales results during the next five quarters. The (A) case market response model is also updated. View Details
- Article
Measuring the Effectiveness of Competition in Defense Procurement: A Survey of the Empirical Literature
By: James J. Anton and Dennis A. Yao
This article surveys the literature that has attempted to measure competition's effects on defense procurement. The focus is on conceptual underpinnings of models rather than technical aspects of estimation procedures. While providing valuable insight, the models are... View Details
- July 1987 (Revised October 2009)
- Background Note
A Method For Valuing High-Risk, Long-Term Investments: The "Venture Capital Method"
By: William A. Sahlman and Daniel R Scherlis
Describes a method for valuing high-risk, long-term investments such as those confronting venture capitalists. The method entails forecasting a future value (e.g., five years from the present) and discounting that terminal value back to the present by applying a high... View Details
- July 1986 (Revised August 1987)
- Background Note
Note on Comparative Advantage
By: David B. Yoffie and John J. Coleman
Discusses David Ricardo's theory of comparative advantage and the refinement of his model developed by Eli Heckscher and Bertil Ohlin. Presents several criticisms of the Heckscher-Ohlin theory, including Wassily Leontief's empirical demonstration that the nature of... View Details
- January 1986 (Revised April 1987)
- Background Note
Models for Updating Demand Forecasts
Keywords: Forecasting and Prediction
- Forthcoming
- Article
An AI Method to Score Celebrity Visual Potential from Human Faces
By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton
It has long been a mantra of marketing practice that, particularly in low-involvement situations, spokespeople should be physically attractive. This paper suggests there is a higher probability of gaining fame and influence (i.e., celebrity potential) than is captured... View Details
- Research Summary
Customer-Centricity as a Vehicle for Organic Growth
By: Ranjay Gulati
This body of work examines the mechanics of how firms grow profitably in commoditizing markets. Underlying the "customer-centricity" that many firms embrace today is a factor that will determine their success with this effort: enabling collaboration across... View Details
- Research Summary
Making Machine Learning Models Interpretable
I work on developing various tools and methodologies which can help decision makers (e.g., doctors, managers) to better understand the predictions of machine learning models. View Details
- Research Summary
Overview
By: Iavor I. Bojinov
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
- Research Summary
Overview
Professor Ferreira's research primarily focuses on how retailers can use algorithms to make better revenue management decisions, including pricing, product display, and assortment planning. In the retail industry, anticipating consumer demand is arguably one of the... View Details
- Forthcoming
- Article
Reflexivity in Credit Markets
By: Robin Greenwood, Samuel G. Hanson and Lawrence J. Jin
Reflexivity is the idea that investors' biased beliefs affect market outcomes and that market outcomes in turn affect investors’ future biases. We develop a dynamic behavioral model of the credit cycle featuring this two-way feedback loop. Investors form beliefs about... View Details
- Research Summary
Selection, Reallocation, and Spillover: Identifying the Sources of Gains from Multinational Production (with Maggie Chen)
By: Laura Alfaro
Quantifying the gains from multinational production has been a vital topic of economic research. Positive productivity gains are often attributed to knowledge spillover from multinational to domestic firms. An alternative, less stressed explanation is firm selection... View Details
- Research Summary
Selective Attention and Learning
What do we notice, and how does this affect what we learn? Standard economic models of learning ignore memory by assuming that we remember everything. But there is growing recognition that memory is imperfect. Further, memory imperfections do not stem from limited... View Details
- Forthcoming
- Article
The Customer Journey as a Source of Information
By: Nicolas Padilla, Eva Ascarza and Oded Netzer
We introduce a probabilistic machine learning model that fuses customer click-stream data and purchase data within and across journeys. This approach addresses the critical business need for leveraging first-party data (1PD), particularly in environments with... View Details
- Forthcoming
- Article
Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application
By: Flora Feng, Charis Li and Shunyuan Zhang
Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years, featuring unique offerings from individual providers. However, scalable quantification of visual uniqueness and their impacts on platforms like Airbnb remain largely unexplored. We address... View Details
- Forthcoming
- Article
What's My Employee Worth? The Effects of Salary Benchmarking
By: Zoë B. Cullen, Shengwu Li and Ricardo Perez-Truglia
While U.S. legislation prohibits employers from sharing information about their employees’
compensation with each other, companies are still allowed to acquire and use more aggregated
data provided by third parties. Most medium and large firms report using this type... View Details
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