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(118)
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- 2024
- Working Paper
Winner Take All: Exploiting Asymmetry in Factorial Designs
By: Matthew DosSantos DiSorbo, Iavor I. Bojinov and Fiammetta Menchetti
Researchers and practitioners have embraced factorial experiments to simultaneously test multiple treatments, each with different levels. With the rise of technologies like Generative AI, factorial experimentation has become even more accessible: it is easier than ever... View Details
Keywords: Factorial Designs; Fisher Randomizations; Rank Estimators; Employer Interventions; Causal Inference; Mathematical Methods; Performance Improvement
DosSantos DiSorbo, Matthew, Iavor I. Bojinov, and Fiammetta Menchetti. "Winner Take All: Exploiting Asymmetry in Factorial Designs." Harvard Business School Working Paper, No. 24-075, June 2024.
- 2024
- Article
Crucibles, Multiple Sensitive Periods, and Career Progression
By: Prithwiraj Choudhury, Sunasir Dutta, Hise O. Gibson and Eric Lin
We study the effects of crucible experiences along multiple sensitive periods on career progression. While prior literature has hinted that individuals can be imprinted during multiple sensitive periods, not just during the early career, there has been scant attention... View Details
Keywords: Military Service; Personal Development and Career; Transformation; Power and Influence; Learning; Human Capital
Choudhury, Prithwiraj, Sunasir Dutta, Hise O. Gibson, and Eric Lin. "Crucibles, Multiple Sensitive Periods, and Career Progression." Academy of Management Proceedings (2024).
- 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... View Details
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.
- Article
A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects
By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public... View Details
Keywords: Prescriptive Analytics; Heterogeneous Treatment Effects; Optimization; Observed Rank Utility Condition (OUR); Between-treatment Heterogeneity; Machine Learning; Decision Making; Analysis; Mathematical Methods
McFowland III, Edward, Sandeep Gangarapu, Ravi Bapna, and Tianshu Sun. "A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects." MIS Quarterly 45, no. 4 (December 2021): 1807–1832.
- 2021
- Working Paper
Going to Extremes: Crucibles, Multiple Sensitive Periods, and Career Progression
By: Prithwiraj Choudhury, Sunasir Dutta, Hise O. Gibson and Eric Lin
We study the effects of crucible experiences along multiple sensitive periods on career progression. While prior literature has hinted that individuals can be imprinted during multiple sensitive periods, not just during the early career, there has been scant attention... View Details
Choudhury, Prithwiraj, Sunasir Dutta, Hise O. Gibson, and Eric Lin. "Going to Extremes: Crucibles, Multiple Sensitive Periods, and Career Progression." Harvard Business School Working Paper, No. 22-006, August 2021.
- September–October 2020
- Article
Managing Churn to Maximize Profits
By: Aurelie Lemmens and Sunil Gupta
Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability or their responsiveness to a... View Details
Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit
Lemmens, Aurelie, and Sunil Gupta. "Managing Churn to Maximize Profits." Marketing Science 39, no. 5 (September–October 2020): 956–973.
- September 2013
- Teaching Note
Trader Joe's
By: David L. Ager and Michael A. Roberto
Based on a variety of metrics, Trader Joe's ranked as one of the most successful grocers in the United States in 2013. Experts estimated that the company had the highest sales per square foot of any major grocery chain, even significantly higher than top performer... View Details
- September 2013 (Revised April 2014)
- Case
Trader Joe's
By: David L. Ager and Michael A. Roberto
Based on a variety of metrics, Trader Joe's ranked as one of the most successful grocers in the United States in 2013. Experts estimated that the company had the highest sales per square foot of any major grocery chain, even significantly higher than top performer... View Details
Keywords: Core Competencies; Growth Strategy; Strategic Positioning; Industry Analysis; Competitive Strategy; Competitive Advantage; Organizational Culture; Growth and Development Strategy; Retail Industry; Food and Beverage Industry; United States
Ager, David L., and Michael A. Roberto. "Trader Joe's." Harvard Business School Case 714-419, September 2013. (Revised April 2014.)
- 2019
- Working Paper
Managing Churn to Maximize Profits
By: Aurelie Lemmens and Sunil Gupta
Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability, or their responsiveness to a... View Details
Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit
Lemmens, Aurelie, and Sunil Gupta. "Managing Churn to Maximize Profits." Harvard Business School Working Paper, No. 14-020, September 2013. (Revised December 2019. Forthcoming at Marketing Science.)
- 2013
- Case
Innovation and Development of China Machine Press in the New Century
By: F. Warren McFarlan, Ning Jia and Guo Jia
China Machine Press (CMP), founded in 1952, is a leading multi-field, multi-discipline and multimedia publishing group in China with large scale, comprehensive and specialized business that integrates paper media, audiovisual media and online media, and combines... View Details
McFarlan, F. Warren, Ning Jia, and Guo Jia. "Innovation and Development of China Machine Press in the New Century." Tsinghua University Case, 2013.
- 2013
- Teaching Note
Innovation and Development of China Machine Press in the New Century (TN)
By: F. Warren McFarlan, Ning Jia and Guo Jia
China Machine Press (CMP), founded in 1952, is a leading multi-field, multi-discipline and multimedia publishing group in China with large scale, comprehensive and specialized business that integrates paper media, audiovisual media and online media, and combines... View Details
McFarlan, F. Warren, Ning Jia, and Guo Jia. "Innovation and Development of China Machine Press in the New Century (TN)." Tsinghua University Teaching Note, 2013.
- 2011
- Article
A Choice Prediction Competition for Social Preferences in Simple Extensive Form Games: An Introduction
By: Eyal Ert, Ido Erev and Alvin E. Roth
Two independent, but related, choice prediction competitions are organized that focus on behavior in simple two-person extensive form games: one focuses on predicting the choices of the first mover and the other on predicting the choices of the second mover. The... View Details
Keywords: Forecasting and Prediction; Behavior; Decision Choices and Conditions; Competition; Motivation and Incentives; Game Theory; Fairness
Ert, Eyal, Ido Erev, and Alvin E. Roth. "A Choice Prediction Competition for Social Preferences in Simple Extensive Form Games: An Introduction." Special Issue on Predicting Behavior in Games. Games 2, no. 3 (September 2011): 257–276.
- Article
A Choice Prediction Competition for Market Entry Games: An Introduction
By: Ido Erev, Eyal Ert and Alvin E. Roth
A choice prediction competition is organized that focuses on decisions from experience in market entry games (http://sites.google.com/site/gpredcomp/ and http://www.mdpi.com/si/games/predict-behavior/). The competition is based on two experiments: An estimation... View Details
Keywords: Experience and Expertise; Decision Choices and Conditions; Forecasting and Prediction; Learning; Market Entry and Exit; Game Theory; Behavior; Competition
Erev, Ido, Eyal Ert, and Alvin E. Roth. "A Choice Prediction Competition for Market Entry Games: An Introduction." Special Issue on Predicting Behavior in Games. Games 1, no. 2 (June 2010): 117–136.
- 2004
- Working Paper
Judging Fund Managers by the Company They Keep
By: Randolph Cohen, Joshua Coval and Lubo Pástor
We develop a performance evaluation approach in which a fund manager's skill is judged by the extent to which his investment decisions resemble the decisions of managers with distinguished performance records. The proposed performance measures are estimated more... View Details
Cohen, Randolph, Joshua Coval, and Lubo Pástor. "Judging Fund Managers by the Company They Keep." NBER Working Paper Series, No. W9359, January 2004.
- Forthcoming
- Article
Human Capital and the Managerial Revolution in the United States: Evidence from General Electric
By: Tom Nicholas
This paper estimates the returns to human capital accumulation during the first era of mega-firms in the United States by linking employees at General Electric—a canonical enterprise associated with the “visible hand” of managerial hierarchies—to the 1940 census. I... View Details
Keywords: Returns To Education; Management Practices; Hierarchies; Management Practices and Processes; Rank and Position; Human Capital; Talent and Talent Management; Business History; United States
Nicholas, Tom. "Human Capital and the Managerial Revolution in the United States: Evidence from General Electric." Review of Economics and Statistics (forthcoming). (Pre-published online November 29, 2023.)