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All HBS Web
(577)
- News (66)
- Research (427)
- Events (5)
- Multimedia (1)
- Faculty Publications (108)
Jung Koo Kang
Jung Koo Kang is an assistant professor in the Accounting and Management Unit. He teaches the Financial Reporting and Control course in the MBA required curriculum.
Professor Kang’s research areas are in financial technology and innovation, alternative data,... View Details
- July 2018 (Revised June 2020)
- Case
The Boston Cranberry Company
By: Alan MacCormack
This case describes the operations of a fictitious company that processes Cranberries. The case contains data that allows students to calculate the bottleneck stage in production, and to evaluate alternative investment options for increasing cranberry processing...
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Keywords:
Process Analysis;
Plant Management;
Operations;
Production;
Management;
Analysis;
Performance Capacity;
Investment
MacCormack, Alan. "The Boston Cranberry Company." Harvard Business School Case 619-009, July 2018. (Revised June 2020.)
- July 1991
- Case
Managing the U.S. Dollar in the 1980s
By: W. Carl Kester and Richard P. Melnick
Provides numerical data and alternative explanations concerning the U.S. dollar's rise and subsequent fall in value from 1981 through 1987. Students are challenged to study the evidence and make their own inferences concerning the dollar's movements and the degree of...
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Kester, W. Carl, and Richard P. Melnick. "Managing the U.S. Dollar in the 1980s." Harvard Business School Case 292-001, July 1991.
- October 2017 (Revised April 2018)
- Case
Improving Worker Safety in the Era of Machine Learning (A)
By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I...
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Keywords:
Machine Learning;
Policy Implementation;
Empirical Research;
Inspection;
Occupational Safety;
Occupational Health;
Regulation;
Analysis;
Forecasting and Prediction;
Policy;
Operations;
Supply Chain Management;
Safety;
Manufacturing Industry;
Construction Industry;
United States
Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
- 1987
- Working Paper
Tests of Excess Forecast Volatility in the Foreign Exchange and Stock Markets
By: K. A. Froot
Simple regression tests that have power against the alternatives that asset prices and expected future asset returns are excessively volatile are developed and performed for the foreign exchange and stock markets. These tests have a number of advantages over...
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- December 2008
- Case
The Financial Crisis of 2008
This case presents excerpts from the speeches of observers to the 2008 financial crisis, including former and current central bankers, a private banker, and a Nobel-prize winning economist. They present different interpretations of the causes of the financial crisis...
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Trumbull, J. Gunnar. "The Financial Crisis of 2008." Harvard Business School Case 709-036, December 2008.
- Article
Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy
By: Edward Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
The proliferation of big data makes it possible to better target city services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to...
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Keywords:
User-generated Content;
Operations;
Tournaments;
Policy-making;
Machine Learning;
Online Platforms;
Analytics and Data Science;
Mathematical Methods;
City;
Infrastructure;
Business Processes;
Government and Politics
Glaeser, Edward, Andrew Hillis, Scott Duke Kominers, and Michael Luca. "Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 114–118.
- 2023
- Working Paper
Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach
By: Ta-Wei Huang and Eva Ascarza
Data-driven targeted interventions have become a powerful tool for organizations to optimize business outcomes
by utilizing individual-level data from experiments. A key element of this process is the estimation
of Conditional Average Treatment Effects (CATE), which...
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Huang, Ta-Wei, and Eva Ascarza. "Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach." Harvard Business School Working Paper, No. 24-034, December 2023.
- Research Summary
Social Entrepreneurship
By: James L. Heskett
This project is centered around an analysis of data and experiences of 31 executive directors of not-for-profit organizations who completed the Denali Initiative on social entrepreneurship, of which I was volunteer faculty chairperson, between 1999 and 2002. The...
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Chiara Farronato
Chiara Farronato is Glenn and Mary Jane Creamer Associate Professor of Business Administration in the Technology and Operations Management Unit at Harvard Business School, and co-Principal Investigator of the Platform Lab at the Digital... View Details
- 28 Jun 2004
- Research & Ideas
How to Avoid a Price Increase
a box of cereal should cost, say, $3.29, and then adjust the quantity accordingly. If the cost to make the cereal is high, the result is a box with fewer ounces and fewer portions. If the cost to make that cereal is low, the result is a box with more ounces and more...
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Keywords:
by Manda Salls
- 2010
- Working Paper
Substitution Patterns of the Random Coefficients Logit
By: Thomas J. Steenburgh and Andrew Ainslie
Previous research suggests that the random coefficients logit is a highly flexible model that overcomes the problems of the homogeneous logit by allowing for differences in tastes across individuals. The purpose of this paper is to show that this is not true. We prove...
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Steenburgh, Thomas J., and Andrew Ainslie. "Substitution Patterns of the Random Coefficients Logit." Harvard Business School Working Paper, No. 10-053, January 2010.
- September 1974 (Revised April 1975)
- Case
Ocean Spray Cranberries, Inc. (A)
At the conclusion of a small-scale pilot survey, management must decide whether to invest in a larger survey or terminate the project. The objective of the study is to use psychographic measurement techniques to study the alternative positions of cranberry sauce....
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Keywords:
Surveys;
Product Positioning;
Mathematical Methods;
Agriculture and Agribusiness Industry;
Food and Beverage Industry
DeBruicker, F., and Jan-Erik Modig. "Ocean Spray Cranberries, Inc. (A)." Harvard Business School Case 575-039, September 1974. (Revised April 1975.)
- March 2016
- Supplement
Advertising Experiments at RestaurantGrades
By: Weijia Dai, Hyunjin Kim and Michael Luca
This exercise provides students with a data set consisting of results from a hypothetical experiment, and asks students to make recommendations based on the data. Through this process, the exercise teaches students to analyze, design, and interpret experiments. The...
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- July 13, 2023
- Article
Threads Foreshadows a Big—and Surprising—Shift in Social Media
By: Scott Duke Kominers and Liang Wu
Threads, Meta’s Twitter competitor, has become the fastest downloaded app in history. One of the reasons for this is because it allows users to port over their profiles and follows from the already popular social media platform Instagram, also owned by Meta—a feature...
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Keywords:
Decentralization;
Twitter;
Facebook;
Instagram;
Crypto Economy;
Blockchain;
Network;
Industrial Organization;
Competition;
Open Innovation;
Open Platforms;
Open Source Innovation;
Social Networks;
Social Media;
Applications and Software;
Information Technology Industry
Kominers, Scott Duke, and Liang Wu. "Threads Foreshadows a Big—and Surprising—Shift in Social Media." Harvard Business Review Digital Articles (July 13, 2023).
- 2020
- Working Paper
Socioeconomic Network Heterogeneity and Pandemic Policy Response
By: Abhishek Nagaraj, Mohammad Akbarpour, Cody Cook, Aude Marzuoli, Simon Mongey, Matteo Saccarola, Pietro Tebaldi, Shoshana Vasserman and Hanbin Yang
We develop and implement a heterogeneous-agents network-based empirical model to analyze alternative policies during a pandemic outbreak. We combine several data sources, including information on individuals’ mobility and encounters across metropolitan areas,...
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Nagaraj, Abhishek, Mohammad Akbarpour, Cody Cook, Aude Marzuoli, Simon Mongey, Matteo Saccarola, Pietro Tebaldi, Shoshana Vasserman, and Hanbin Yang. "Socioeconomic Network Heterogeneity and Pandemic Policy Response." Working Paper, June 2020.
- February 2018 (Revised June 2021)
- Case
New Constructs: Disrupting Fundamental Analysis with Robo-Analysts
By: Charles C.Y. Wang and Kyle Thomas
This case highlights the business challenges associated with a financial technology firm, New Constructs, that created a technology that can quickly parse complicated public firm financials to paint a clearer economic picture of firms, remove accounting distortions,...
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Keywords:
Fundamental Analysis;
Machine Learning;
Robo-analysts;
Financial Statements;
Financial Reporting;
Analysis;
Information Technology;
Accounting Industry;
Financial Services Industry;
Information Technology Industry;
North America;
Tennessee
Wang, Charles C.Y., and Kyle Thomas. "New Constructs: Disrupting Fundamental Analysis with Robo-Analysts." Harvard Business School Case 118-068, February 2018. (Revised June 2021.)
- January 2004 (Revised April 2004)
- Case
Excel Academy Charter Middle School, The
This case is set in the summer of 2002 in a recently approved charter middle school in Boston. The school's founders face a choice of compensation plans as they finalize the initial teaching team in the school. In particular, the founders are actively considering two...
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Leschly, Stig. "Excel Academy Charter Middle School, The." Harvard Business School Case 804-113, January 2004. (Revised April 2004.)
- 2023
- Working Paper
Global Supply Chains: The Looming 'Great Reallocation'
By: Laura Alfaro and Davin Chor
Global supply chains have come under unprecedented stress as a result of U.S.-China trade tensions, the COVID-19 pandemic, and geopolitical shocks. We document shifts in the pattern of U.S. participation in global value chains over the last four decades, in terms of...
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Alfaro, Laura, and Davin Chor. "Global Supply Chains: The Looming 'Great Reallocation'." Harvard Business School Working Paper, No. 24-012, August 2023. (in proceedings Jackson Hole Symposium, 2023 (also NBER WP 31661). See feature in NBER Digest, Nov (2023): Economics, Politics, and the Evolution of Global Supply Chains.)
- October 26, 2015
- Article
Measuring and Communicating Health Care Value with Charts
By: Robert S. Kaplan, Robin P. Blackstone, Derek A. Haas and Nikhil G. Thaker
The goal of a health care system should be to deliver the most value to patients: the outcomes achieved for treating a medical condition relative to the costs incurred over a complete care cycle. We have found that a radar (spider web) chart is an effective means to...
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Kaplan, Robert S., Robin P. Blackstone, Derek A. Haas, and Nikhil G. Thaker. "Measuring and Communicating Health Care Value with Charts." Harvard Business Review (website) (October 26, 2015). (A collaboration of the editors of Harvard Business Review and the New England Journal of Medicine.)