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- Faculty Publications (342)
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- All HBS Web (988)
- Faculty Publications (342)
- 2011
- Working Paper
Top Executive Background and Financial Reporting Choice
By: Francois Brochet and Kyle Travis Welch
We study the role of executive functional background in explaining management discretion in financial reporting. Taking goodwill impairment as our reporting setting, we focus on top executives (CEOs and CFOs) whose employment history includes experience in investment... View Details
Keywords: Financial Reporting; Goodwill Accounting; Experience and Expertise; Decision Choices and Conditions; Managerial Roles; Agency Theory
Brochet, Francois, and Kyle Travis Welch. "Top Executive Background and Financial Reporting Choice." Harvard Business School Working Paper, No. 11-088, February 2011. (Revised November 2011.)
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- July–August 2017
- Article
Why Outlet Stores Exist: Averting Cannibalization in Product Line Extensions
By: Donald Ngwe
Outlet stores are a large and growing component of many firms' retailing strategies, particularly in the fashion industry. Outlet stores offer attractive prices in locations far from central shopping districts. The main perspectives on why outlet stores exist can be... View Details
Keywords: Fashion; Industrial Organization; Outlet Stores; Price Discrimination; Retail; Channel Management; Luxury; Product Marketing; Price; Retail Industry; Fashion Industry
Ngwe, Donald. "Why Outlet Stores Exist: Averting Cannibalization in Product Line Extensions." Marketing Science 36, no. 4 (July–August 2017): 523–541.
- 24 Mar 2015
- First Look
First Look: March 24
features. First, financiers engage in the costly but potentially profitable process of innovation: they can invent better methods for screening entrepreneurs. Second, every screening process becomes less effective as technology advances. The View Details
Keywords: Sean Silverthorne
- 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.
- 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).
- 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.
- 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.
- 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.
- 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.)
- 09 Mar 2009
- Research & Ideas
How to Revive Health-Care Innovation
fundamental question: How do we make health care affordable? Most disruptions have three enablers: a simplifying technology, a business model innovation, and a disruptive value network. The technological enabler transforms a technological... View Details
- April 1993 (Revised June 1994)
- Supplement
MathSoft, Inc. (B)
Describes the president's decision regarding MathSoft's marketing channels and communications methods, and the company's sales results during the next five quarters. The (A) case market response model is also updated. View Details
Keywords: Communication Technology; Forecasting and Prediction; Curriculum and Courses; Learning; Knowledge Sharing; Growth and Development Strategy; Marketing Channels; Education Industry
Rangan, V. Kasturi. "MathSoft, Inc. (B)." Harvard Business School Supplement 593-095, April 1993. (Revised June 1994.)
- 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
- 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
- 2015
- Working Paper
Blinded by Experience: Prior Experience, Negative News and Belief Updating
By: Bradley R. Staats, Diwas S. KC and Francesca Gino
Traditional models of operations management involve dynamic decision-making assuming optimal (Bayesian) updating. However, behavioral theory suggests that individuals exhibit bias in their beliefs and decisions. We conduct both a field study and two laboratory studies... View Details
Keywords: Behavioral Operations; Egocentric Bias; Experience; Healthcare Operations; Prejudice and Bias; Behavior; Operations; Decision Making; Health Care and Treatment
Staats, Bradley R., Diwas S. KC, and Francesca Gino. "Blinded by Experience: Prior Experience, Negative News and Belief Updating." Harvard Business School Working Paper, No. 16-015, August 2015.
- 27 Jan 2022
- HBS Seminar
Hamsa Bastani, Wharton
- 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.)