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- Faculty Publications (349)
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- All HBS Web (995)
- Faculty Publications (349)
- 2020
- Working Paper
Topic Preference Detection: A Novel Approach to Understand Perspective Taking in Conversation
By: Michael Yeomans and Alison Wood Brooks
Although most humans engage in conversations constantly throughout their lives, conversational mistakes are commonplace— interacting with others is difficult, and conversation re-quires quick, relentless perspective-taking and decision making. For example: during every... View Details
Keywords: Natural Language Processing; Interpersonal Communication; Perspective; Decision Making; Perception
Yeomans, Michael, and Alison Wood Brooks. "Topic Preference Detection: A Novel Approach to Understand Perspective Taking in Conversation." Harvard Business School Working Paper, No. 20-077, February 2020.
- November 2015
- Article
Influence of Experience and the Surgical Learning Curve on Long-term Patient Outcomes in Cardiac Surgery
By: Bryan M. Burt, Andrew W. ElBardissi, Robert S. Huckman, Lawrence H. Cohn, Marisa W. Cevasco, James D. Rawn, Sary F. Aranki and John G. Byrne
OBJECTIVE: We hypothesized that increased post-graduate surgical experience correlates with improved operative efficiency and long-term survival in standard cardiac surgery procedures.
METHODS: Utilizing a prospectively collected retrospective database,... View Details
METHODS: Utilizing a prospectively collected retrospective database,... View Details
Keywords: Service Delivery; Value; Health Care and Treatment; Experience and Expertise; Health Industry
Burt, Bryan M., Andrew W. ElBardissi, Robert S. Huckman, Lawrence H. Cohn, Marisa W. Cevasco, James D. Rawn, Sary F. Aranki, and John G. Byrne. "Influence of Experience and the Surgical Learning Curve on Long-term Patient Outcomes in Cardiac Surgery." Journal of Thoracic and Cardiovascular Surgery 150, no. 5 (November 2015): 1061–1067.
- 2008
- Working Paper
Economic Factors Underlying the Unbundling of Advertising Agency Services
By: Mohammad Arzaghi, Ernst R. Berndt, James C. Davis and Alvin J. Silk
This paper addresses a longstanding puzzle involving the unbundling of services that has occurredover more than two decades in the U.S. advertising agency industry: How can the shift from the bundling to the unbundling of services be explained and what accounts for the... View Details
Keywords: Transformation; Framework; Service Operations; Decisions; Relationships; Price; Diversification; Geography; Cost; Advertising Industry; United States
Arzaghi, Mohammad, Ernst R. Berndt, James C. Davis, and Alvin J. Silk. "Economic Factors Underlying the Unbundling of Advertising Agency Services." NBER Working Paper Series, No. 14345, September 2008.
- 13 Apr 2012
- HBS Seminar
Drazen Prelec, Professor of Management Science and Economics at MIT Sloan School of Management
- 2025
- Working Paper
Incentive-Compatible Recovery from Manipulated Signals, with Applications to Decentralized Physical Infrastructure
By: Jason Milionis, Jens Ernstberger, Joseph Bonneau, Scott Duke Kominers and Tim Roughgarden
We introduce the first formal model capturing the elicitation of unverifiable information from a party (the "source") with implicit signals derived by other players (the "observers"). Our model is motivated in part by applications in decentralized physical... View Details
Milionis, Jason, Jens Ernstberger, Joseph Bonneau, Scott Duke Kominers, and Tim Roughgarden. "Incentive-Compatible Recovery from Manipulated Signals, with Applications to Decentralized Physical Infrastructure." Working Paper, March 2025.
- 2019
- Article
Fair Algorithms for Learning in Allocation Problems
By: Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth and Zachary Schutzman
Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. loans or police officers) amongst several groups, in order to maximize some objective (e.g. loans given that are repaid, or criminals that are apprehended).... View Details
Elzayn, Hadi, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth, and Zachary Schutzman. "Fair Algorithms for Learning in Allocation Problems." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 170–179.
- 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... View Details
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.
- February 2010
- Background Note
Marketing Analysis Toolkit: Market Size and Market Share Analysis
By: Thomas J. Steenburgh and Jill Avery
Marketers frequently need to estimate the size of their markets—both for existing products so that sales forecasts can be developed and for new products so that market opportunities can be assessed. This toolkit enables students to size a market and generate a sales... View Details
Keywords: Forecasting and Prediction; Management Analysis, Tools, and Techniques; Marketing Strategy; Markets; Demand and Consumers; Size; Strategic Planning; Sales
Steenburgh, Thomas J., and Jill Avery. "Marketing Analysis Toolkit: Market Size and Market Share Analysis." Harvard Business School Background Note 510-081, February 2010.
- Research Summary
The Power of Paradox: Some Recent Developments in Interactive Epistemology
This survey describes a central paradox of game theory, viz. the Paradox of Backward Induction (BI). The paradox is that the BI outcome is often said to follow from basic game-theoretic principles--specifically, from the assumption that the players are rational. Yet,... View Details
- 2006
- Working Paper
On the Origin of Shared Beliefs (and Corporate Culture)
This paper shows why members of an organization often share similar beliefs. I argue that there are two mechanisms. First, when performance depends on making correct decisions, people prefer to work with others who share their beliefs and assumptions, since such... View Details
Van den Steen, Eric J. "On the Origin of Shared Beliefs (and Corporate Culture)." Sloan School of Management Working Paper, No. 4553-05, January 2006. (Available at SSRN.)
- Web
Faculty & Research
strengthen its pharma pipeline, manage debt, and cut through bureaucracy. His bold response: Dynamic Shared Ownership (DSO), a radical model replacing traditional hierarchies with self-organizing teams. By 2025, Bayer was on track to cut... View Details
- 2023
- Other Article
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details
Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science
Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- Forthcoming
- Article
Reflexivity in Credit Markets
By: Robin Greenwood, Samuel G. Hanson and Lawrence J. Jin
Reflexivity is the idea that investors' biased beliefs affect market outcomes and that market outcomes in turn affect investors’ future biases. We develop a dynamic behavioral model of the credit cycle featuring this two-way feedback loop. Investors form beliefs about... View Details
Greenwood, Robin, Samuel G. Hanson, and Lawrence J. Jin. "Reflexivity in Credit Markets." Journal of Finance (forthcoming).
- 21 Jul 2008
- Research & Ideas
Solving the Marketing Resources Allocation Puzzle
this product. Interestingly, they were able to use the model to predict how competing firms might react to different marketing scenarios, which led to better estimates of the real changes in demand that... View Details
Keywords: by Sean Silverthorne
- September 2019 (Revised January 2021)
- Case
Vispera: Visual Intelligence for Retail
By: Yael Grushka-Cockayne and Gamze Yucaoglu
The case opens in 2019 as Aytul Ercil, co-founder and CEO of Vispera, computer vision technology provider for retail, is contemplating the company’s agenda trying to decide how to prioritize the impeding options. The case chronicles the founding of Vispera, the... View Details
Keywords: Computer Vision Technology; Visual Analysis; Retail; Information Technology; Business Model; Operations; Performance Efficiency; Competitive Strategy; Decision Choices and Conditions; Global Strategy; Technology Industry; Retail Industry; Turkey
Grushka-Cockayne, Yael, and Gamze Yucaoglu. "Vispera: Visual Intelligence for Retail." Harvard Business School Case 620-022, September 2019. (Revised January 2021.)
- 19 Nov 2024
- HBS Seminar
Christian Terwiesch, Wharton
Valuing Snap After the IPO Quiet Period
Snap, the disappearing message app, went public at $17 per share on March 2, 2017, making its two 20-something founders the youngest self-made billionaires in the country. Over the next three weeks, 14 analysts make investment recommendations on Snap: two with buy... View Details
- January 1983 (Revised September 1983)
- Case
E.T. Phone Home, Inc.: Forecasting Business Demand
By: John F. Cady and Frank V. Cespedes
Describes a process for forecasting market demand for an emerging technology--cellular radio. The student must critically evaluate the demand model and the market estimates, and modify them as appropriate in order to develop a marketing plan and budget. View Details
Keywords: Budgets and Budgeting; Forecasting and Prediction; Marketing Strategy; Demand and Consumers; Business Processes; Technology
Cady, John F., and Frank V. Cespedes. "E.T. Phone Home, Inc.: Forecasting Business Demand." Harvard Business School Case 583-121, January 1983. (Revised September 1983.)
- Forthcoming
- Article
FinTech Lending and Cashless Payments
By: Pulak Ghosh, Boris Vallée and Yao Zeng
Borrower's use of cashless payments both improves their access to capital from FinTech lenders and predicts a lower probability of default. These relationships are stronger for cashless technologies providing more precise information, and for outflows. Cashless payment... View Details