Filter Results:
(639)
Show Results For
- All HBS Web
(853)
- News (79)
- Research (639)
- Events (13)
- Multimedia (4)
- Faculty Publications (633)
Show Results For
- All HBS Web
(853)
- News (79)
- Research (639)
- Events (13)
- Multimedia (4)
- Faculty Publications (633)
Sort by
- 2008
- Working Paper
Minimally Altruistic Wages and Unemployment in a Matching Model
By: Julio J. Rotemberg
This paper presents a model in which firms recruit both unemployed and employed workers by posting vacancies. Firms act monopsonistically and set wages to retain their existing workers as well as to attract new ones. The model differs from Burdett and Mortensen (1998)... View Details
Rotemberg, Julio J. "Minimally Altruistic Wages and Unemployment in a Matching Model." NBER Working Paper Series, No. 13755, February 2008.
- 2023
- Working Paper
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
- October 1, 2021
- Article
An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.
By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio
Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a... View Details
Keywords: Efficiency Analysis; Performance Benchmarking; Warehousing; Analytics and Data Science; Performance Evaluation; Measurement and Metrics; Mathematical Methods
Balk, B.M., M.R. De Koster, Christian Kaps, and J.L. Zofio. "An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance." Art. 126261. Applied Mathematics and Computation 406 (October 1, 2021).
- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
- 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.
- 11 Apr 2017
- First Look
First Look at New Research, April 11
associated biomarkers, placing an emphasis on the factors affecting their development, pricing, and access. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=52453 Theory of Machine: When Do People Rely on Algorithms? By: Logg, Jennifer M.... View Details
- Article
Fly-by-Night Firms and the Market for Product Reviews
By: Gerald R. Faulhaber and Dennis A. Yao
This paper presents a model that permits third-party information provision in a market characterized by information asymmetries and reputation formation. The model is used to examine how the market for information provision affects prices and supply in the primary... View Details
Keywords: Markets; Reputation; SWOT Analysis; Mathematical Methods; Price Bubble; Inflation and Deflation; Duopoly and Oligopoly; Cost; Information; Quality; Price; Competitive Advantage; Information Industry
Faulhaber, Gerald R., and Dennis A. Yao. "Fly-by-Night Firms and the Market for Product Reviews." Journal of Industrial Economics 38, no. 1 (September 1989): 65–77. (Harvard users click here for full text.)
- November 1990
- Case
Chemplan Corp.: Paint-Rite Division
By: Paul A. Vatter
An exercise with data that allows a discussion of regression analysis as a tool for forecasting and understanding structure. View Details
Vatter, Paul A. "Chemplan Corp.: Paint-Rite Division." Harvard Business School Case 191-090, November 1990.
- April 1990
- Case
Clark Material Handling Group-Overseas: Brazilian Product Strategy (A&B) (Condensed)
By: Robert J. Dolan
Assumes some knowledge of conjoint analysis. Permits analysis of basic results and dynamic market simulations in one class session. View Details
Dolan, Robert J. "Clark Material Handling Group-Overseas: Brazilian Product Strategy (A&B) (Condensed)." Harvard Business School Case 590-081, April 1990.
- 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).
- 2008
- Working Paper
On Best-Response Bidding in GSP Auctions
By: Matthew Cary, Aparna Das, Benjamin Edelman, Ioannis Giotis, Kurtis Heimerl, Anna R. Karlin, Claire Mathieu and Michael Schwarz
How should players bid in keyword auctions such as those used by Google, Yahoo! and MSN? We model ad auctions as a dynamic game of incomplete information, so we can study the convergence and robustness properties of various strategies. In particular, we consider... View Details
Keywords: Online Advertising; Auctions; Bids and Bidding; Game Theory; Mathematical Methods; Competitive Strategy
Cary, Matthew, Aparna Das, Benjamin Edelman, Ioannis Giotis, Kurtis Heimerl, Anna R. Karlin, Claire Mathieu, and Michael Schwarz. "On Best-Response Bidding in GSP Auctions." Harvard Business School Working Paper, No. 08-056, January 2008.
- September 1972 (Revised February 1984)
- Case
Blanchard Importing and Distribution Co., Inc.
By: Paul W. Marshall
Illustration of the two main types of errors resulting from use of the economic order quantity (EOQ) as a tool in production scheduling. Designed to permit class discussion to begin with a consideration of one common type of mistake, errors in calculation of the EOQ... View Details
Marshall, Paul W. "Blanchard Importing and Distribution Co., Inc." Harvard Business School Case 673-033, September 1972. (Revised February 1984.)
- March 2022
- Article
Targeting High Ability Entrepreneurs Using Community Information: Mechanism Design in the Field
Identifying high-growth microentrepreneurs in low-income countries remains a challenge due to a scarcity of verifiable information. With a cash grant experiment in India we demonstrate that community knowledge can help target high-growth microentrepreneurs; while the... View Details
Keywords: Microentrepreneurs; Community Information; Field Experiment; Loans; Entrepreneurship; Developing Countries and Economies; Financing and Loans; Information; Mathematical Methods; India
Hussam, Reshmaan, Natalia Rigol, and Benjamin N. Roth. "Targeting High Ability Entrepreneurs Using Community Information: Mechanism Design in the Field." American Economic Review 112, no. 3 (March 2022): 861–898.
(Online Appendix with Corrigendum—Thanks to Isabella Masetto, Diego Ubfal, and The Institute for Replication for identifying a minor coding error in the production of Table 4.)
(Online Appendix with Corrigendum—Thanks to Isabella Masetto, Diego Ubfal, and The Institute for Replication for identifying a minor coding error in the production of Table 4.)