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Show Results For
- All HBS Web
(2,967)
- News (476)
- Research (2,199)
- Events (43)
- Multimedia (14)
- Faculty Publications (1,430)
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- 09 May 2005
- Research & Ideas
Hold or Fold? Sizing Up Business Risk
one this step is based on, is figuring out how you will know when to go for Options B or C and call it quits on the current game. To do this, we first assess what our best option seems to be based on: our satisfaction to date with the current game, our View Details
- 2019
- Working Paper
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media... View Details
Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Harvard Business School Working Paper, No. 20-036, September 2019.
- fall 2007
- Article
The Design of Patent Pools: The Determinants of Licensing Rules
By: Josh Lerner, Marcin Strojwas and Jean Tirole
Patent pools are an important but little-studied economic institution. In this paper, we first make a set of predictions about the licensing terms associated with patent pools. The theoretical framework predicts that (a) pools consisting of complementary patents are... View Details
Keywords: Governing Rules, Regulations, and Reforms; Collaborative Innovation and Invention; Patents; Rights
Lerner, Josh, Marcin Strojwas, and Jean Tirole. "The Design of Patent Pools: The Determinants of Licensing Rules." RAND Journal of Economics 38, no. 3 (fall 2007): 610–625. (Earlier version distributed as National Bureau of Economic Research Working Paper No. 9680.)
- 2017
- Working Paper
Investment Timing with Costly Search for Financing
By: Samuel Antill
I develop a dynamic model of investment timing in which firms must first choose when to search for external financing. Search is costly and the arrival of investors is uncertain, leading to delay in financing and investment. Depending on parameters, my model can... View Details
Keywords: Real Options; Search And Bargaining; Time-varying Financial Conditions; Investment; Venture Capital; Mathematical Methods
Antill, Samuel. "Investment Timing with Costly Search for Financing." Working Paper, December 2017.
- 2010
- Article
The Ethical Mirage: A Temporal Explanation as to Why We Are Not as Ethical as We Think We Are
By: A. E. Tenbrunsel, K. Diekmann, K A. Wade-Benzoni and Max Bazerman
This paper explores the biased perceptions that people hold of their own ethicality. We argue that the temporal trichotomy of prediction, action and recollection is central to these misperceptions: People predict that they will behave more ethically than they actually... View Details
Keywords: Forecasting and Prediction; Values and Beliefs; Framework; Research; Behavior; Cognition and Thinking; Perception; Prejudice and Bias
Tenbrunsel, A. E., K. Diekmann, K A. Wade-Benzoni, and Max Bazerman. "The Ethical Mirage: A Temporal Explanation as to Why We Are Not as Ethical as We Think We Are." Research in Organizational Behavior 30 (2010): 153–173.
- 2025
- Working Paper
Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers
By: Matthew DosSantos DiSorbo, Kris Ferreira, Maya Balakrishnan and Jordan Tong
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). How can humans and algorithms work together to make... View Details
DosSantos DiSorbo, Matthew, Kris Ferreira, Maya Balakrishnan, and Jordan Tong. "Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers." Working Paper, May 2025.
- 2006
- Working Paper
The Effect of Dividends on Consumption
By: Malcolm Baker, Stefan Nagel and Jeffrey Wurgler
Classical models predict that the division of stock returns into dividends and capital appreciation does not affect investor consumption patterns, while mental accounting and other economic frictions predict that investors have a higher propensity to consume from stock... View Details
Baker, Malcolm, Stefan Nagel, and Jeffrey Wurgler. "The Effect of Dividends on Consumption." NBER Working Paper Series, No. 12288, June 2006. (First Draft in 2005.)
- Article
Measuring Audit Quality
By: Shivaram Rajgopal, Suraj Srinivasan and Xin Zheng
In this paper, we document 45 specific allegations related to audit deficiencies based on GAAS, as detailed in 141 AAERs and 153 securities class action lawsuits over the violation years 1978–2016. Next, we use these allegations to validate existing popular proxies of... View Details
Keywords: Audit Quality; Audit Deficiency; AAER; Securities Class Action Lawsuits; Enforcement; Accounting Audits; Quality; Measurement and Metrics
Rajgopal, Shivaram, Suraj Srinivasan, and Xin Zheng. "Measuring Audit Quality." Review of Accounting Studies 26, no. 2 (June 2021): 559–619.
- August 2018 (Revised September 2018)
- Case
LendingClub (A): Data Analytic Thinking (Abridged)
By: Srikant M. Datar and Caitlin N. Bowler
LendingClub was founded in 2006 as an alternative, peer-to-peer lending model to connect individual borrowers to individual investor-lenders through an online platform. Since 2014 the company has worked with institutional investors at scale. While the company assigns... View Details
Keywords: Data Science; Data Analytics; Investing; Loans; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction; Business Model
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (A): Data Analytic Thinking (Abridged)." Harvard Business School Case 119-020, August 2018. (Revised September 2018.)
- Forthcoming
- Article
An AI Method to Score Celebrity Visual Potential from Human Faces
By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton
It has long been a mantra of marketing practice that, particularly in low-involvement situations, spokespeople should be physically attractive. This paper suggests there is a higher probability of gaining fame and influence (i.e., celebrity potential) than is captured... View Details
Feng, Flora, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan, and Cait Lamberton. "An AI Method to Score Celebrity Visual Potential from Human Faces." Journal of Marketing Research (JMR) (forthcoming). (Pre-published online February 12, 2025.)
- August 2017
- Article
Is the SEC Captured? Evidence from Comment-Letter Reviews
By: Jonas Heese, Mozaffar Khan and Karthik Ramanna
SEC oversight of publicly listed firms ranges from comment letter (CL) reviews of firms’ reporting compliance to pursuing enforcement actions against violators. Prior literature finds that firm political connections (PC) negatively predict enforcement actions,... View Details
Keywords: Comment Letters; Political Connections; Regulatory Capture; SEC Enforcement; Government Administration; Business and Government Relations; Government and Politics
Heese, Jonas, Mozaffar Khan, and Karthik Ramanna. "Is the SEC Captured? Evidence from Comment-Letter Reviews." Journal of Accounting & Economics 64, no. 1 (August 2017). (Revised June 2017.)
- 2023
- Working Paper
Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks
By: Shelley Xin Li, Frank Nagle and Aner Zhou
Organization-level networks facilitate the flow of information and business activities in the
economy. Prior research relies solely on high-level connections to measure these networks. Therefore, to
understand the role of employee connections at all job levels in... View Details
Keywords: Networks; Value; Social and Collaborative Networks; Innovation and Invention; Knowledge Sharing; Employees; Social Media
Li, Shelley Xin, Frank Nagle, and Aner Zhou. "Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks." Harvard Business School Working Paper, No. 24-010, August 2023.
- 2019
- Book
The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power
By: Shoshana Zuboff
In this masterwork of original thinking and research, Shoshana Zuboff provides startling insights into the phenomenon that she has named surveillance capitalism. The stakes could not be higher: a global architecture of behavior modification threatens human nature in... View Details
Keywords: Consumer Profiling; Consumer Behavior; Forecasting and Prediction; Information Technology; Power and Influence; Ethics; Society; Transformation
Zuboff, Shoshana. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York: PublicAffairs, 2019.
- 05 Jul 2017
- Working Paper Summaries
Designing an Agile Software Portfolio Architecture: The Impact of Coupling on Performance
- July 1986 (Revised August 1987)
- Background Note
Note on Comparative Advantage
By: David B. Yoffie and John J. Coleman
Discusses David Ricardo's theory of comparative advantage and the refinement of his model developed by Eli Heckscher and Bertil Ohlin. Presents several criticisms of the Heckscher-Ohlin theory, including Wassily Leontief's empirical demonstration that the nature of... View Details
Yoffie, David B., and John J. Coleman. "Note on Comparative Advantage." Harvard Business School Background Note 387-023, July 1986. (Revised August 1987.)
- March 2024
- Teaching Note
Sonder Holdings Inc.: Using Technology to Solve Hospitality's Frictions
By: John A. Deighton and Leora Kornfeld
Teaching Note for HBS Case No. 922-039. Digital disruption is challenging the hospitality industry. Traditional hotels face competition from platforms, most visibly Airbnb but also the homeshare divisions of online travel agencies such as Expedia and Booking.com, that... View Details
- 08 Dec 2010
- Working Paper Summaries
Decoding Inside Information
- 2014
- Working Paper
Visualizing and Measuring Software Portfolio Architectures: A Flexibility Analysis
By: Robert Lagerstrom, Carliss Y. Baldwin, Alan MacCormack and David Dreyfus
In this paper, we test a method for visualizing and measuring software portfolio architectures and use our measures to predict the costs of architectural change. Our data is drawn from a biopharmaceutical company, comprising 407 architectural components with 1,157... View Details
Keywords: Design Structure Matrices; Software Architecture; Flexibility; Software Application Portfolio; Complexity; Applications and Software; Forecasting and Prediction
Lagerstrom, Robert, Carliss Y. Baldwin, Alan MacCormack, and David Dreyfus. "Visualizing and Measuring Software Portfolio Architectures: A Flexibility Analysis." Harvard Business School Working Paper, No. 14-083, March 2014.
- 2008
- Working Paper
Catering through Nominal Share Prices
By: Malcolm Baker, Robin Greenwood and Jeffrey Wurgler
We propose and test a catering theory of nominal stock prices. The theory predicts that when investors place higher valuation on low-price firms, managers will maintain share prices at lower levels, and vice-versa. Using measures of time-varying catering... View Details
Baker, Malcolm, Robin Greenwood, and Jeffrey Wurgler. "Catering through Nominal Share Prices." NBER Working Paper Series, No. w13762, January 2008. (First Draft in 2007.)
- January–February 2023
- Article
Forecasting COVID-19 and Analyzing the Effect of Government Interventions
By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.