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- All HBS Web (493)
- Faculty Publications (63)
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- 2019
- Working Paper
Large-Scale Demand Estimation with Search Data
By: Tomomichi Amano, Andrew Rhodes and Stephan Seiler
In many online markets, traditional methods of demand estimation are difficult to implement because assortments are very large and individual products are sold infrequently. At the same time, data on consumer search (i.e., browsing) behavior are often available and are... View Details
Amano, Tomomichi, Andrew Rhodes, and Stephan Seiler. "Large-Scale Demand Estimation with Search Data." Harvard Business School Working Paper, No. 19-022, September 2018. (Revised June 2019. Stanford University Research Paper, No. 18-36, 8-20 2018.)
- Research Summary
Behavioral Hazard and Public Policy
It is well recognized that people overuse low-value medical care due to moral hazard—because copays are lower than costs. Now Professor Schwartzstein has introduced the concept of “behavioral hazard” to explain the opposite: people underuse high-value care because... View Details
- 2025
- Working Paper
How to Choose Among Technologies with Learning Curves: Making Better Investment Decisions
By: Christian Kaps and Arielle Anderer
Learning curves, the fact that technologies improve as a function of cumulative experience or investment, are desirable-think inexpensive solar panels or higher performing semiconductors. But, for firms that need to pick one technology among several candidates, such as... View Details
Keywords: Learning Curve; Technology; Innovation; Batteries; Energy Storage; Sequential Decision Making; TELCO; Exploration; Exploitation; Problems and Challenges; Cost vs Benefits; Technology Adoption; Battery Industry
Kaps, Christian, and Arielle Anderer. "How to Choose Among Technologies with Learning Curves: Making Better Investment Decisions." Working Paper, March 2025.
- 06 Sep 2005
- Research & Ideas
The Best Place for Retirement Funds
and Harold Zhang, set out to derive rules for optimal asset location behavior for investors with these individually managed retirement accounts. Two results came out of this work: First, the optimal strategy... View Details
Keywords: by Ann Cullen
- April–June 2022
- Other Article
Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'
There has been a substantial discussion in various methodological and applied literatures around causal inference; especially in the use of machine learning and statistical models to understand heterogeneity in treatment effects and to make optimal decision... View Details
Keywords: Causal Inference; Treatment Effect Estimation; Treatment Assignment Policy; Human-in-the-loop; Decision Making; Fairness
McFowland III, Edward. "Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'." INFORMS Journal on Data Science 1, no. 1 (April–June 2022): 21–22.
- 2023
- Working Paper
The Complexity of Economic Decisions
By: Xavier Gabaix and Thomas Graeber
We propose a theory of the complexity of economic decisions. Leveraging a macroeconomic framework of production functions, we conceptualize the mind as a cognitive economy, where a task’s complexity is determined by its composition of cognitive operations. Complexity... View Details
Gabaix, Xavier, and Thomas Graeber. "The Complexity of Economic Decisions." Harvard Business School Working Paper, No. 24-049, February 2024.
- March 2019
- Article
Economics of Converting Renewable Power to Hydrogen
By: Gunther Glenk and Stefan Reichelstein
The recent sharp decline in the cost of renewable energy suggests that the production of hydrogen from renewable power through a power-to-gas process might become more economical. Here we examine this alternative from the perspective of an investor who considers a... View Details
Keywords: Sustainability; Clean Technology; Renewable Energy; Energy Storage; Sustainability Management; Sustainable Business; Synergies; Green Hydrogen; Green Technology; Environment; Decarbonization; Carbon Emissions; Carbon Abatement; Energy; Accounting; Decision Making; Economics; Environmental Management; Growth and Development; Management; Operations; Science; Transportation; Battery Industry; Chemical Industry; Construction Industry; Consulting Industry; Energy Industry; Green Technology Industry; Industrial Products Industry; Manufacturing Industry; Shipping Industry; Steel Industry; Technology Industry; Transportation Industry; Utilities Industry; Africa; Asia; Europe; North and Central America; South America; Middle East
Glenk, Gunther, and Stefan Reichelstein. "Economics of Converting Renewable Power to Hydrogen." Nature Energy 4, no. 3 (March 2019): 216–222.
- Article
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
Neel, Seth, and Aaron Leon Roth. "Mitigating Bias in Adaptive Data Gathering via Differential Privacy." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- January–February 2012
- Article
Do You Need a New Product-Development Strategy?
By: Alan MacCormack, W. Crandall, P. Toft and P. Henderson
Many firms rely on a single new-product development process for all projects. But designing new products for different business contexts requires that a firm deploy different new-product development processes. Products designed for stable and mature end-user markets... View Details
MacCormack, Alan, W. Crandall, P. Toft, and P. Henderson. "Do You Need a New Product-Development Strategy?" Research-Technology Management 55, no. 1 (January–February 2012): 34–43.
- February 2001 (Revised March 2003)
- Case
i2 TradeMatrix
i2 has recently acquired Aspect Development and is incorporating Aspect's offerings into its TradeMatrix product for business-to-business e-commerce. TradeMatrix embeds i2's existing products for optimizing supply chain performance by applying advanced planning and... View Details
Keywords: Internet and the Web; Applications and Software; Organizational Culture; Mergers and Acquisitions; Information Technology Industry
McAfee, Andrew P. "i2 TradeMatrix." Harvard Business School Case 601-008, February 2001. (Revised March 2003.)
- 19 Jan 2022
- In Practice
7 Trends to Watch in 2022
hiring in order to attract a sufficient number of applicants to meet their needs. They will also need to relax the many superfluous conditions they have applied in evaluating job seekers. Abandoning business models based on the assumption... View Details
Keywords: by HBS News
- January 2002 (Revised April 2002)
- Case
Space Data Corporation
By: Alan D. MacCormack and Jay Wynn
Space Data Corp. plans to partner with the U.S. National Weather Service to place transceivers on weather balloons and thereby create a national mobile communications network. The company is in the late development stages and is planning to launch a regional test that... View Details
Keywords: Wireless Technology; Business Startups; Business Processes; Adaptation; Partners and Partnerships; Opportunities; Telecommunications Industry; Public Administration Industry; United States
MacCormack, Alan D., and Jay Wynn. "Space Data Corporation." Harvard Business School Case 602-121, January 2002. (Revised April 2002.)
- Forthcoming
- Article
Branch-and-Price for Prescriptive Contagion Analytics
By: Alexandre Jacquillat, Michael Lingzhi Li, Martin Ramé and Kai Wang
Contagion models are ubiquitous in epidemiology, social sciences, engineering, and management. This paper formulates a prescriptive contagion analytics model where a decision maker allocates shared resources across multiple segments of a population, each governed by... View Details
Jacquillat, Alexandre, Michael Lingzhi Li, Martin Ramé, and Kai Wang. "Branch-and-Price for Prescriptive Contagion Analytics." Operations Research (forthcoming). (Pre-published online March 13, 2024.)
- Teaching Interest
Overview
By: Leemore S. Dafny
U.S. Healthcare Strategy
The U.S. healthcare sector accounts for 17 percent of GDP, and encompasses a diverse set of industries with public, nonprofit, and for-profit buyers and sellers. There are significant concerns about high and rising spending, and... View Details
- 1 Mar 2013 - 2 Mar 2013
- Conference Presentation
The Value of Flexibility in Baseball Roster Construction
By: Timothy Chan and Douglas S. Fearing
Drawing inspiration from the theory of production flexibility in manufacturing networks, we provide the first optimization-based analysis of the value of positional flexibility (the ability of a player to play multiple positions) for a major league baseball team in the... View Details
Keywords: Risk and Uncertainty; Design; Production; Resource Allocation; Groups and Teams; Adaptation; Sports
- 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 higher operational costs through more product returns in the online retail industry. Dynamic pricing has been widely applied by many online retailers. Research has shown that, in response to dynamic pricing, some customers... View Details
- Article
The Role of Interactivity in Local Differential Privacy
By: Matthew Joseph, Jieming Mao, Seth Neel and Aaron Leon Roth
We study the power of interactivity in local differential privacy. First, we focus on the difference between fully interactive and sequentially interactive protocols. Sequentially interactive protocols may query users adaptively in sequence, but they cannot return to... View Details
Joseph, Matthew, Jieming Mao, Seth Neel, and Aaron Leon Roth. "The Role of Interactivity in Local Differential Privacy." Proceedings of the IEEE Annual Symposium on Foundations of Computer Science (FOCS) 60th (2019).
- February 2018
- Article
Retention Futility: Targeting High-Risk Customers Might Be Ineffective.
By: Eva Ascarza
Companies in a variety of sectors are increasingly managing customer churn proactively, generally by detecting customers at the highest risk of churning and targeting retention efforts towards them. While there is a vast literature on developing churn prediction models... View Details
Keywords: Retention/churn; Proactive Churn Management; Field Experiments; Heterogeneous Treatment Effect; Machine Learning; Customer Relationship Management; Risk Management
Ascarza, Eva. "Retention Futility: Targeting High-Risk Customers Might Be Ineffective." Journal of Marketing Research (JMR) 55, no. 1 (February 2018): 80–98.
- 15 Oct 2009
- Working Paper Summaries
Mixed Source
- Research Summary
Research Summary
By: Ranjay Gulati
My research focuses on how to unlock organizational potential and unleash human potential.
Unlocking organizational potential involves a deep dive into how enterprises can achieve enduring success. This includes applying strategic frameworks to drive... View Details