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- Faculty Publications (62)
- May 2020
- Article
Identifying Sources of Inefficiency in Health Care
By: Amitabh Chandra and Douglas O. Staiger
In medicine, the reasons for variation in treatment rates across hospitals serving similar patients are not well understood. Some interpret this variation as unwarranted and push standardization of care as a way of reducing allocative inefficiency. However, an...
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Keywords:
Health Care and Treatment;
Performance Efficiency;
Performance Productivity;
Mathematical Methods
Chandra, Amitabh, and Douglas O. Staiger. "Identifying Sources of Inefficiency in Health Care." Quarterly Journal of Economics 135, no. 2 (May 2020): 785–843.
- May 2020
- Article
Negotiating a Better Future: How Interpersonal Skills Facilitate Inter-Generational Investment
By: Nava Ashraf, Natalie Bau, Corinne Low and Kathleen McGinn
Using a randomized control trial, we examine whether offering adolescent girls nonmaterial resources—specifically, negotiation skills—can improve educational outcomes in a low-income country. In so doing, we provide the first evidence on the effects of an intervention...
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Keywords:
Negotiation;
Competency and Skills;
Training;
Age;
Gender;
Education;
Investment;
Outcome or Result;
Developing Countries and Economies
Ashraf, Nava, Natalie Bau, Corinne Low, and Kathleen McGinn. "Negotiating a Better Future: How Interpersonal Skills Facilitate Inter-Generational Investment." Quarterly Journal of Economics 135, no. 2 (May 2020): 1095–1151.
- 2020
- Working Paper
The Myth of the Lead Arranger’s Share
By: Kristian Blickle, Quirin Fleckenstein, Sebastian Hillenbrand and Anthony Saunders
We make use of Shared National Credit Program (SNC) data to examine syndicated loans in which the lead arranger retains no stake. We find that the lead arranger sells its entire loan share for 27 percent of term loans and 48 percent of Term B loans, typically shortly...
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Blickle, Kristian, Quirin Fleckenstein, Sebastian Hillenbrand, and Anthony Saunders. "The Myth of the Lead Arranger’s Share." Working Paper, May 2020.
- August 2019
- Article
When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation
By: Yicheng Song, Nachiketa Sahoo and Elie Ofek
Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,...
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Keywords:
Recommender Systems;
Personalization;
Recommendation Diversity;
Variety Seeking;
Collaborative Filtering;
Consumer Utility Models;
Digital Media;
Clickstream Analysis;
Learning-to-rank;
Consumer Behavior;
Media;
Customization and Personalization;
Strategy;
Mathematical Methods
Song, Yicheng, Nachiketa Sahoo, and Elie Ofek. "When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation." Management Science 65, no. 8 (August 2019): 3737–3757.
- May 29, 2019
- Article
A Study of More Than 250 Platforms Reveals Why Most Fail
By: David B. Yoffie, Annabelle Gawer and Michael A. Cusumano
This piece explores why digital platforms fail. We collected data on 250 failures over the last 20 years, analyzed the most common causes for a platform to disappear or morph into an alternative business.
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Yoffie, David B., Annabelle Gawer, and Michael A. Cusumano. "A Study of More Than 250 Platforms Reveals Why Most Fail." Harvard Business Review (website) (May 29, 2019).
- 2018
- Working Paper
Opportunistic Returns and Dynamic Pricing: Empirical Evidence from Online Retailing in Emerging Markets
By: Chaithanya Bandi, Antonio Moreno, Donald Ngwe and Zhiji Xu
We investigate how dynamic pricing can lead to more product returns in the online retail industry. Using detailed sales data of more than two million transactions from the Indian online retail market, where price promotions are very common, we document two types of...
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Keywords:
Cash On Delivery;
Dynamic Pricing;
Online Retail;
Payment Methods;
Strategic Customer Behavior;
Opportunistic Returns;
Price;
Policy;
Consumer Behavior;
Emerging Markets;
Retail Industry
Bandi, Chaithanya, Antonio Moreno, Donald Ngwe, and Zhiji Xu. "Opportunistic Returns and Dynamic Pricing: Empirical Evidence from Online Retailing in Emerging Markets." Harvard Business School Working Paper, No. 19-030, September 2018.
- 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.)
- 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 2018 (Revised January 2019)
- Case
ZappRx
By: Jeffrey J. Bussgang and Olivia Hull
In October 2015, ZappRx founder Zoe Barry is deciding between two business models for her health technology start-up. Her product, a software application that aims to expedite the prescription fulfillment process for patients with rare diseases, has attracted interest...
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- 2017
- Working Paper
Identifying Sources of Inefficiency in Health Care
By: Amitabh Chandra and Douglas O. Staiger
In medicine, the reasons for variation in treatment rates across hospitals serving similar patients are not well understood. Some interpret this variation as unwarranted and push standardization of care as a way of reducing allocative inefficiency. However, an...
View Details
Keywords:
Health Care and Treatment;
Performance Efficiency;
Performance Productivity;
Mathematical Methods
Chandra, Amitabh, and Douglas O. Staiger. "Identifying Sources of Inefficiency in Health Care." NBER Working Paper Series, No. 24035, November 2017.
- 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.)
- 2017
- Working Paper
Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments
By: Daniel J. Benjamin, Don A. Moore and Matthew Rabin
This paper describes results of a pair of incentivized experiments on biases in judgments about random samples. Consistent with the Law of Small Numbers (LSN), participants exaggerated the likelihood that short sequences and random subsets of coin flips would be...
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Benjamin, Daniel J., Don A. Moore, and Matthew Rabin. "Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments." NBER Working Paper Series, No. 23927, October 2017.
- 2017
- Working Paper
Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Long-Term Performance
By: Diwas S. KC, Bradley R. Staats, Maryam Kouchaki and Francesca Gino
How individuals manage, organize, and complete their tasks is central to operations management. Recent research in operations focuses on how under conditions of increasing workload, individuals can increase their service time, up to a point, to complete work more...
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KC, Diwas S., Bradley R. Staats, Maryam Kouchaki, and Francesca Gino. "Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Long-Term Performance." Harvard Business School Working Paper, No. 17-112, June 2017.
- October 2016 (Revised February 2019)
- Module Note
Strategy Execution Module 5: Building a Profit Plan
By: Robert Simons
This module reading describes how to build a profit plan to reflect the strategy of a business in economic terms. After introducing the profit wheel, cash wheel, and ROE wheel, the module illustrates how to use a profit plan to assess the viability of different...
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Keywords:
Management Control Systems;
Implementing Strategy;
Execution;
Profit Planning;
Cash Flow Analysis;
Asset Utilization;
Return On Equity;
Business Planning;
Testing Strategy;
Analyzing Strategic Alternative;
Strategy;
Asset Management;
Cash Flow;
Investment Return;
Management Systems;
Profit
Simons, Robert. "Strategy Execution Module 5: Building a Profit Plan." Harvard Business School Module Note 117-105, October 2016. (Revised February 2019.)
- October 2016
- Article
Looking Across and Looking Beyond the Knowledge Frontier: Intellectual Distance and Resource Allocation in Science
By: Kevin J. Boudreau, Eva Guinan, Karim R. Lakhani and Christoph Riedl
Selecting among alternative innovative projects is a core management task in all innovating organizations. In this paper, we focus on the evaluation of frontier scientific research projects. We argue that the "intellectual distance" between the knowledge embodied in...
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Keywords:
Knowledge;
Innovation;
Novelty;
Evaluation;
Resource Allocation;
Decision Choices and Conditions;
Innovation and Management;
Science-Based Business;
Experience and Expertise
Boudreau, Kevin J., Eva Guinan, Karim R. Lakhani, and Christoph Riedl. "Looking Across and Looking Beyond the Knowledge Frontier: Intellectual Distance and Resource Allocation in Science." Management Science 62, no. 10 (October 2016).
- 2016
- Working Paper
The Empirical Economics of Online Attention
By: Andre Boik, Shane Greenstein and Jeffrey Prince
In several markets, firms compete not for consumer expenditure but instead for consumer attention. We model and characterize how households allocate their scarce attention in arguably the largest market for attention: the Internet. Our characterization of household...
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Keywords:
Internet and the Web;
Competition;
Behavior;
Resource Allocation;
Household;
Cognition and Thinking
Boik, Andre, Shane Greenstein, and Jeffrey Prince. "The Empirical Economics of Online Attention." NBER Working Paper Series, No. 22427, July 2016.
- June 2016
- Teaching Note
HubSpot: Lower Churn through Greater CHI
By: Jill Avery, Asis Martinez Jerez and Thomas Steenburgh
HubSpot, a web marketing startup selling inbound marketing software to small- and medium-sized businesses, is under pressure from its venture capital partners to rapidly acquire new customers and to maintain a low level of customer churn. The B2B SaaS company is in the...
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- 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.
- 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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- 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.)