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- All HBS Web (1,029)
- Faculty Publications (349)
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- 2017
- Working Paper
Tort Reform and Innovation
By: Alberto Galasso and Hong Luo
Current academic and policy debates focus on the impact of tort reforms on physicians’ behavior and medical costs. This paper examines whether these reforms also affect incentives to develop new technologies. We develop a theoretical model which predicts that the... View Details
Keywords: Lawsuits and Litigation; Laws and Statutes; Innovation and Invention; Medical Devices and Supplies Industry
Galasso, Alberto, and Hong Luo. "Tort Reform and Innovation." Working Paper, August 2017. (Accepted for publication in Journal of Law and Economics.)
- October 2021
- Article
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Nicolas Padilla and Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.
- Research Summary
Financial reporting quality and its consequences
Does reporting quality have real economic consequences? Professor Yu addresses this question in her research, which examines the channels through which reporting quality affects the behavior of economic agents, namely managers and investors. Her particular focus is... View Details
- 12 Oct 2006
- First Look
First Look: October 12, 2006
Working PapersDo Corporate Social Responsibility Ratings Predict Corporate Social Performance? Authors:Aaron K. Chatterji, David I. Levine, and Michael W. Toffel Abstract Ratings of corporations' environmental activities and... View Details
Keywords: Sean Silverthorne
- January 2025
- Technical Note
AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix
By: Tsedal Neeley and Tim Englehart
This technical note introduces the confusion matrix as a foundational tool in artificial intelligence (AI) and large language models (LLMs) for assessing the performance of classification models, focusing on their reliability for decision-making. A confusion matrix... View Details
Keywords: Reliability; Confusion Matrix; AI and Machine Learning; Decision Making; Measurement and Metrics; Performance
Neeley, Tsedal, and Tim Englehart. "AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix." Harvard Business School Technical Note 425-049, January 2025.
- August 2018 (Revised September 2018)
- Supplement
LendingClub (C): Gradient Boosting & Payoff Matrix
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default... View Details
Keywords: Data Analytics; Data Science; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (C): Gradient Boosting & Payoff Matrix." Harvard Business School Supplement 119-022, August 2018. (Revised September 2018.)
- 2016
- Working Paper
Credit Migration and Covered Interest Rate Parity
By: Gordon Y Liao
I document economically large and persistent discrepancies in the pricing of credit risk between corporate bonds denominated in different currencies. The discrepancies amount to 50-100 basis points on trillions of dollars of debt notional. I relate this violation of... View Details
Keywords: Market Segmentation; Debt Issuance; Covered Interest Rate Parity; Cross-currency Basis; Credit Risk; Financial Markets; Credit
Liao, Gordon Y. "Credit Migration and Covered Interest Rate Parity." Working Paper, October 2016.
- 2020
- Working Paper
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
- 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.
- August 2018 (Revised September 2018)
- Supplement
LendingClub (B): Decision Trees & Random Forests
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) case. In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan.
... View Details
... View Details
Keywords: Data Science; Data Analytics; Decision Trees; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (B): Decision Trees & Random Forests." Harvard Business School Supplement 119-021, August 2018. (Revised September 2018.)
- February 2018
- Case
EmQuest: Travel Distribution in the Digital Era
By: Karim R. Lakhani and Gamze Yucaoglu
EmQuest, Emirates Group’s travel distribution company, must decide what to do with its contract with the global distribution system it uses, Sabre. Since its founding in 1988, EmQuest was servicing travel agents in the MENA region by providing a connection to over 400... View Details
Keywords: UAE; Decision; Business Model; Competitive Strategy; Growth and Development Strategy; Decision Choices and Conditions; Business Strategy; Value Creation; Change Management; Emerging Markets; For-Profit Firms; Competitive Advantage; Travel Industry; United Arab Emirates
Lakhani, Karim R., and Gamze Yucaoglu. "EmQuest: Travel Distribution in the Digital Era." Harvard Business School Case 618-040, February 2018.
- 2010
- Working Paper
Trade Policy and Firm Boundaries
By: Laura Alfaro, Paola Conconi, Harald Fadinger and Andrew F. Newman
We study how trade policy affects firms' ownership structures. We embed an incomplete contracts model of vertical integration choices into a standard perfectly-competitive international trade framework. Integration decisions are driven by a trade-off between the... View Details
- November 2009
- Journal Article
A Theory of Growth and Volatility at the Aggregate and Firm Level
By: Diego A. Comin and Sunil Mulani
This paper presents an endogenous growth model that explains the evolution of the first and second moments of productivity growth at the aggregate and firm level during the post-war period. Growth is driven by the development of both (i) idiosyncratic R&D innovations... View Details
Keywords: Volatility; Microeconomics; Innovation and Invention; Growth and Development Strategy; Resource Allocation; Performance Productivity; Mathematical Methods; Research and Development
Comin, Diego A., and Sunil Mulani. "A Theory of Growth and Volatility at the Aggregate and Firm Level." Journal of Monetary Economics 56, no. 8 (November 2009): 1023–1042.
- 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
Keywords: Forecasting and Prediction; Entrepreneurship; Venture Capital; Investment; Risk Management; Valuation
Sahlman, William A., and Daniel R Scherlis. A Method For Valuing High-Risk, Long-Term Investments: The "Venture Capital Method". Harvard Business School Background Note 288-006, July 1987. (Revised October 2009.)
- October 2002 (Revised January 2013)
- Case
Krispy Kreme Doughnuts
By: Paul M. Healy
Krispy Kreme is a rapidly growing firm with a business model that has excited Wall Street. View Details
Keywords: Business Growth and Maturation; Business Model; Financial Statements; Forecasting and Prediction; Financial Reporting; Performance Evaluation; Business Strategy; Food and Beverage Industry; New York (city, NY)
Healy, Paul M. "Krispy Kreme Doughnuts." Harvard Business School Case 103-018, October 2002. (Revised January 2013.)
- 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
- April 2023
- Article
On the Privacy Risks of Algorithmic Recourse
By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel
As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected... View Details
Pawelczyk, Martin, Himabindu Lakkaraju, and Seth Neel. "On the Privacy Risks of Algorithmic Recourse." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 206 (April 2023).
- Other Article
Exploring the Relationship Between Architecture Coupling and Software Vulnerabilities
By: Robert Lagerstrom, Carliss Y. Baldwin, Alan MacCormack, Daniel J. Sturtevant and Lee Doolan
Employing software metrics, such as size and complexity, for predicting defects has been given a lot of attention over the years and proven very useful. However, the few studies looking at software architecture and vulnerabilities are limited in scope and findings. We... View Details
Keywords: Security Vulnerabilities; Software Architecture; Metrics; Software; Complexity; Measurement and Metrics
Lagerstrom, Robert, Carliss Y. Baldwin, Alan MacCormack, Daniel J. Sturtevant, and Lee Doolan. "Exploring the Relationship Between Architecture Coupling and Software Vulnerabilities." Proceedings of the International Symposium on Engineering Secure Software and Systems (ESSoS) 9th (2017): 53–69. (Part of Lecture Notes in Computer Science, ISSN 0302-9743.)
- 15 Jul 2010
- Working Paper Summaries
Trade Policy and Firm Boundaries
- 04 Jun 2024
- Cold Call Podcast