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Show Results For
- All HBS Web
(2,891)
- News (476)
- Research (2,216)
- Events (43)
- Multimedia (14)
- Faculty Publications (1,433)
- 03 Mar 2014
- Research & Ideas
Facebook’s Future
Editor's note: Now 10 years old, Facebook's growth is starting to slow. That's one reason it purchased What'sApp last month in a jaw-dropping deal valued at $19 billion. What might the next decade be like? Harvard Business School Associate Professor Mikolaj Piskorski,... View Details
Keywords: by Mikolaj Piskorski
- October 2019
- Article
Making Sense of Recommendations
By: Michael Yeomans, Anuj Shah, Sendhil Mullainathan and Jon Kleinberg
Computer algorithms are increasingly being used to predict people's preferences and make recommendations. Although people frequently encounter these algorithms because they are cheap to scale, we do not know how they compare to human judgment. Here, we compare computer... View Details
Keywords: Recommender Systems; Artificial Intelligence; Interpretability; Information Technology; Forecasting and Prediction; Decision Making; Attitudes
Yeomans, Michael, Anuj Shah, Sendhil Mullainathan, and Jon Kleinberg. "Making Sense of Recommendations." Journal of Behavioral Decision Making 32, no. 4 (October 2019): 403–414.
- February 2018
- Supplement
People Analytics at Teach For America (B)
By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, Managing Director Michael Metzger must decide how to extend his team’s predictive analytics work using Natural Language Processing (NLP) techniques. View Details
- 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
- 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.
- December 2020 (Revised March 2022)
- Teaching Note
Forecasting ClimaCell
By: Joshua Lev Krieger, Christopher Stanton and James Barnett
A weather technology startup, ClimaCell considers the R&D trade-offs and financing implications of pursuing a proposed contract with a major automobile maker, rather than continuing its focus on building a scalable, all-purpose weather prediction engine. View Details
- August 1998
- Background Note
Selling Books Online in Mid-1998
By: Jeffrey F. Rayport, Carin-Isabel Knoop and Cate Reavis
Provides an overview of the trends and predictions for the online book retail industry as of August 1998 and the current status of Amazon.com, BarnesandNoble.com, and other main players' online ventures. View Details
Rayport, Jeffrey F., Carin-Isabel Knoop, and Cate Reavis. "Selling Books Online in Mid-1998." Harvard Business School Background Note 899-038, August 1998.
- 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.
- 2001
- Working Paper
When Does the Market Matter? Stock Prices and the Investment of Equity Dependent Firms
By: Malcolm Baker, Jeremy Stein and Jeffrey Wurgler
We use a simple model of corporate investment to determine when investment will be sensitive to non-fundamental movements in stock prices. The key cross-sectional prediction of the model is that stock prices will have a stronger impact on the investment of firms that... View Details
Baker, Malcolm, Jeremy Stein, and Jeffrey Wurgler. "When Does the Market Matter? Stock Prices and the Investment of Equity Dependent Firms." NBER Working Paper Series, No. 8750, December 2001. (First draft in 2001.)
- 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.)
- February 2024
- Article
Representation and Extrapolation: Evidence from Clinical Trials
By: Marcella Alsan, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein and Heidi L. Williams
This article examines the consequences and causes of low enrollment of Black patients in clinical
trials. We develop a simple model of similarity-based extrapolation that predicts that evidence is
more relevant for decision-making by physicians and patients when it... View Details
Keywords: Representation; Racial Disparity; Health Testing and Trials; Race; Equality and Inequality; Innovation and Invention; Pharmaceutical Industry
Alsan, Marcella, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein, and Heidi L. Williams. "Representation and Extrapolation: Evidence from Clinical Trials." Quarterly Journal of Economics 139, no. 1 (February 2024): 575–635.
- 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.
- 2024
- Working Paper
Finance Without Exotic Risk
By: Pedro Bordalo, Nicola Gennaioli, Rafael La Porta and Andrei Shleifer
We address the joint hypothesis problem in cross-sectional asset pricing by using measured analyst expectations of earnings growth. We construct a firm-level measure of Expectations Based Returns (EBRs) that uses analyst forecast errors and revisions and shuts down any... View Details
Bordalo, Pedro, Nicola Gennaioli, Rafael La Porta, and Andrei Shleifer. "Finance Without Exotic Risk." NBER Working Paper Series, No. 33004, September 2024.
- 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.)
- July – August 2008
- Article
When Virtue Is a Vice
By: Anat Keinan and Ran Kivetz
Choosing duty over pleasure today can cause regret down the road—whereas regret over the reverse is fleeting. Marketers of luxury products and services should consider prompting customers to predict their future feelings about choices made now. View Details
Keywords: Decision Choices and Conditions; Forecasting and Prediction; Moral Sensibility; Marketing Strategy; Consumer Behavior; Emotions; Luxury
Keinan, Anat, and Ran Kivetz. "When Virtue Is a Vice." HBS Centennial Issue Harvard Business Review 86, nos. 7/8 (July–August 2008): 22.
- 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.
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- 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.
- May 2006
- Case
Nokia in 2003
By: Paul M. Healy
Examines the challenges facing a money manager who owns stock in Nokia, the leading wireless handset provider. Two analysts covering the stock make very different predictions about the economies of the industry, Nokia's future performance, and stock recommendations.... View Details