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Show Results For
- All HBS Web
(853)
- News (79)
- Research (639)
- Events (13)
- Multimedia (4)
- Faculty Publications (633)
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- 2023
- Article
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
Pawelczyk, Martin, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci, and Himabindu Lakkaraju. "Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse." Proceedings of the International Conference on Learning Representations (ICLR) (2023).
- November–December 2018
- Article
Online Network Revenue Management Using Thompson Sampling
By: Kris J. Ferreira, David Simchi-Levi and He Wang
We consider a network revenue management problem where an online retailer aims to maximize revenue from multiple products with limited inventory constraints. As common in practice, the retailer does not know the consumer's purchase probability at each price and must... View Details
Keywords: Online Marketing; Revenue Management; Revenue; Management; Marketing; Internet and the Web; Price; Mathematical Methods
Ferreira, Kris J., David Simchi-Levi, and He Wang. "Online Network Revenue Management Using Thompson Sampling." Operations Research 66, no. 6 (November–December 2018): 1586–1602.
- Winter 2017
- Article
Why Big Data Isn't Enough
By: Sen Chai and Willy C. Shih
There is a growing belief that sophisticated algorithms can explore huge databases and find relationships independent of any preconceived hypotheses. But in businesses that involve scientific research and technological innovation, this approach is misguided and... View Details
Keywords: Big Data; Science-based; Science; Scientific Research; Data Analytics; Data Science; Data-driven Management; Data Scientists; Technological Innovation; Analytics and Data Science; Mathematical Methods; Theory
Chai, Sen, and Willy C. Shih. "Why Big Data Isn't Enough." Art. 58227. MIT Sloan Management Review 58, no. 2 (Winter 2017): 57–61.
- May 2011
- Teaching Note
Baria Planning Solutions, Inc.: Fixing the Sales Process (Brief Case)
By: Steven C. Wheelwright and William Schmidt
Teaching Note for 4568. View Details
- May 1993
- Case
Patient Transfusion Services Lab of Central Blood Bank
By: James L. Heskett
The vice president of the Lab and Clinical Services at Central Blood Bank is faced with the challenge of convincing a hospital to use economical shared patient transfusion testing services. View Details
Keywords: Health Care and Treatment; Quality; Service Operations; Mathematical Methods; Customer Satisfaction; Health Industry
Heskett, James L. "Patient Transfusion Services Lab of Central Blood Bank." Harvard Business School Case 693-091, May 1993.
- January 2009 (Revised June 2010)
- Case
Lyons Document Storage Corporation: Bond Math
By: William J. Bruns Jr.
In 2009 a recent MBA must analyze the possible refunding of bonds issued in 2000 when interest rates were much higher. She must consider the possible consequences of repurchasing company bonds outstanding using cash that might be obtained by issuing new bonds at a... View Details
Keywords: Financial Accounting; Quantitative Analysis; Securities; Debt Securities; Bonds; Cash Flow; Mathematical Methods; Accounting; Interest Rates
Bruns, William J., Jr. "Lyons Document Storage Corporation: Bond Math." Harvard Business School Brief Case 093-215, January 2009. (Revised June 2010.)
- 2012
- Article
Mutual Fund Trading Pressure: Firm-Level Stock Price Impact and Timing of SEOs
By: Mozaffar N. Khan, Leonid Kogan and George Serafeim
In tests of the equity market timing theory of external finance, the prior literature has used overvaluation identifiers such as high market-to-book and high prior returns that are likely correlated with other determinants of SEOs. We use price pressure resulting from... View Details
Keywords: Equity; Market Transactions; Valuation; Capital Structure; Market Timing; Mathematical Methods; Acquisition
Khan, Mozaffar N., Leonid Kogan, and George Serafeim. "Mutual Fund Trading Pressure: Firm-Level Stock Price Impact and Timing of SEOs." Journal of Finance 67, no. 4 (August 2012): 1371–1395.
- 2005
- Working Paper
Nominal versus Indexed Debt: A Quantitative Horse Race
By: Laura Alfaro and Fabio Kanczuk
The main arguments in favor of and against nominal and indexed debt are the incentive to default through inflation versus hedging against unforeseen shocks. We model and calibrate these arguments to assess their quantitative importance. We use a dynamic equilibrium... View Details
Keywords: Borrowing and Debt; Taxation; Risk and Uncertainty; Inflation and Deflation; System Shocks; Developing Countries and Economies; Mathematical Methods
Alfaro, Laura, and Fabio Kanczuk. "Nominal versus Indexed Debt: A Quantitative Horse Race." Harvard Business School Working Paper, No. 05-053, January 2005. (Revised March 2010. Also NBER Working Paper No. 13131.)
- 1980
- Article
Consumer Impulse Purchase and Credit Card Usage: An Empirical Examination Using the Log Linear Model
By: Rohit Deshpandé and S. Krishnan
Most of the work in impulse purchase behavior has investigated the association of socioeconomic variables and unplanned purchases with equivocal results. This paper examines the interrelationship between impulse purchases, credit card usage, cost of items bought, and... View Details
- April 2022
- Article
Predictable Financial Crises
Using historical data on post-war financial crises around the world, we show that crises are substantially predictable. The combination of rapid credit and asset price growth over the prior three years, whether in the nonfinancial business or the household sector, is... View Details
Greenwood, Robin, Samuel G. Hanson, Andrei Shleifer, and Jakob Ahm Sørensen. "Predictable Financial Crises." Journal of Finance 77, no. 2 (April 2022): 863–921.
- January 2008
- Background Note
Convertible Arbitrage
By: Joshua Coval and Erik Stafford
The goal of this simulation is to understand how convertible bonds can be viewed as a portfolio of simpler securities and to introduce an over-the-counter market. The convertible bonds that are available during the simulation are at-the-money and in-the-money so that... View Details
Coval, Joshua, and Erik Stafford. "Convertible Arbitrage." Harvard Business School Background Note 208-116, January 2008.
- November 2001 (Revised October 2017)
- Case
GuestFirst Hotel (A): Customer Loyalty
By: Frances X. Frei and Dennis Campbell
Provides a hotel context in which to explore the link between customer loyalty and financial performance, using four years of hotel data. Challenges students to find the extent of the relationship between loyalty and performance. View Details
Keywords: Motivation and Incentives; Mathematical Methods; Finance; Performance; Relationships; Customer Focus and Relationships; Data and Data Sets; Accommodations Industry
Frei, Frances X., and Dennis Campbell. "GuestFirst Hotel (A): Customer Loyalty." Harvard Business School Case 602-099, November 2001. (Revised October 2017.)
- January 1995
- Case
Understanding User Needs
By: Marco Iansiti and Ellen Stein
Presents an introduction to methods for understanding user needs in product development. Describes a number of techniques including the use of focus groups, interviews, questionnaires, the Kano method, Lead User analysis, the Product Value matrix, OFD, etc. Provides a... View Details
Keywords: Customer Satisfaction; Customer Value and Value Chain; Product Development; Mathematical Methods
Iansiti, Marco, and Ellen Stein. "Understanding User Needs." Harvard Business School Case 695-051, January 1995.
- September 2020 (Revised March 2022)
- Case
JOANN: Joannalytics Inventory Allocation Tool
By: Kris Ferreira and Srikanth Jagabathula
Michael Joyce, Vice President of Inventory Management at JOANN, championed an effort to develop and implement an inventory allocation analytics tool that used advanced analytics to predict in-season demand of seasonal items for each of JOANN’s nearly 900 stores and... View Details
Keywords: Analytics; Machine Learning; Optimization; Inventory Management; Mathematical Methods; Decision Making; Operations; Supply Chain Management; Resource Allocation; Distribution; Technology Adoption; Applications and Software; Change Management; Fashion Industry; Consumer Products Industry; Retail Industry; United States; Ohio
Ferreira, Kris, and Srikanth Jagabathula. "JOANN: Joannalytics Inventory Allocation Tool." Harvard Business School Case 621-055, September 2020. (Revised March 2022.)
- 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.)
- August 2000 (Revised September 2000)
- Case
Extraprise
By: Srikant M. Datar, Krishna G. Palepu and Sarah S. Khetani
In the three years since it was founded, the Boston-based Internet strategy consulting firm, Extraprise, has changed its strategy three times. Jennifer Gabler, the CFO, considers what kinds of control systems she can put in place to ensure the company can continue to... View Details
- 2021
- Working Paper
An Empirical Study of Time Allotment and Delays in E-commerce Delivery
By: M. Balakrishnan, MoonSoo Choi and Natalie Epstein
Problem definition: We study how having more time allotted to deliver an order affects the speed of the delivery process. Furthermore, we seek to predict orders that are likely to be delayed early in the delivery process so that actions can be taken to avoid delays.... View Details
Keywords: Logistics; E-commerce; Mathematical Methods; AI and Machine Learning; Performance Productivity
Balakrishnan, M., MoonSoo Choi, and Natalie Epstein. "An Empirical Study of Time Allotment and Delays in E-commerce Delivery." Working Paper, December 2021.
- February 1991 (Revised November 2010)
- Case
Tennessee Controls: The Strategic Ranking Problem
By: Robert L. Simons and Dale Geiger
Tennessee Controls has instituted a new formal asset acquisition process to rank competing proposals. Judy Starnes, the new division manager, is asked to rank three proposals by using techniques to quantify economic returns, risk, as well as the credibility of the... View Details
Keywords: Capital Budgeting; Governance Controls; Management Systems; Strategic Planning; Mathematical Methods; Electronics Industry
Simons, Robert L., and Dale Geiger. "Tennessee Controls: The Strategic Ranking Problem." Harvard Business School Case 191-083, February 1991. (Revised November 2010.)
- 2009
- Working Paper
Altruistic Dynamic Pricing with Customer Regret
By: Julio J. Rotemberg
A model is considered where firms internalize the regret costs that consumers experience when they see an unexpected price change. Regret costs are assumed to be increasing in the size of price changes and this can explain why the size of price increases is less... View Details
- Article
Gross National Happiness As an Answer to the Easterlin Paradox?
By: Rafael Di Tella and Robert MacCulloch
The Easterlin Paradox refers to the fact that happiness data are typically stationary in spite of considerable increases in income. This amounts to a rejection of the hypothesis that current income is the only argument in the utility function. We find that the... View Details
Di Tella, Rafael, and Robert MacCulloch. "Gross National Happiness As an Answer to the Easterlin Paradox?" Journal of Development Economics 86, no. 1 (April 2008).