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(2,834)
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Show Results For
- All HBS Web
(2,834)
- News (448)
- Research (2,171)
- Events (39)
- Multimedia (14)
- Faculty Publications (1,383)
- 08 Dec 2010
- Working Paper Summaries
Decoding Inside Information
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- October 2000
- Article
The Equity Share in New Issues and Aggregate Stock Returns
By: Malcolm Baker and Jeffrey Wurgler
The share of equity issues in total new equity and debt issues is a strong predictor of U.S. stock market returns between 1928 and 1997. In particular, firms issue more equity than debt just before periods of low market returns. The equity share in new issues has... View Details
Keywords: Equity; Borrowing and Debt; Stocks; Markets; Debt Securities; Forecasting and Prediction; Accounting Industry; United States
Baker, Malcolm, and Jeffrey Wurgler. "The Equity Share in New Issues and Aggregate Stock Returns." Journal of Finance 55, no. 5 (October 2000): 2219–57.
- December 2023
- Article
Save More Today or Tomorrow: The Role of Urgency in Precommitment Design
By: Joseph Reiff, Hengchen Dai, John Beshears, Katherine L. Milkman and Shlomo Benartzi
To encourage farsighted behaviors, past research suggests that marketers may be wise to invite consumers to pre-commit to adopt them “later.” However, the authors propose that people will draw different inferences from different types of pre-commitment offers, and that... View Details
Reiff, Joseph, Hengchen Dai, John Beshears, Katherine L. Milkman, and Shlomo Benartzi. "Save More Today or Tomorrow: The Role of Urgency in Precommitment Design." Journal of Marketing Research (JMR) 60, no. 6 (December 2023): 1095–1113.
- 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.
- August 2003
- Article
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." Quarterly Journal of Economics 118, no. 3 (August 2003): 969–1006.
Ashley V. Whillans
Ashley Whillans is the Volpert Family Associate Professor of Business Administration at the Harvard Business School, where she teaches the Motivation and Incentives course to MBA students. Professor Whillans earned her PhD in Social Psychology from the University of... View Details
- 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
- 06 Feb 2019
- News
How Investment Made Singapore an Innovation Hub
- 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
- Article
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details
Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing; Applications and Software
Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Marketing Letters 31, no. 4 (December 2020): 393–404.
- Article
The Cross Section of Expected Holding Period Returns and Their Dynamics: A Present Value Approach
By: Matthew R. Lyle and Charles C.Y. Wang
We provide a tractable model of firm-level expected holding period returns using two firm fundamentals—book-to-market ratio and ROE—and study the cross-sectional properties of the model-implied expected returns. We find that 1) firm-level expected returns and expected... View Details
Keywords: Expected Returns; Discount Rates; Holding Period Returns; Fundamental Valuation; Present Value; Valuation; Investment Return
Lyle, Matthew R., and Charles C.Y. Wang. "The Cross Section of Expected Holding Period Returns and Their Dynamics: A Present Value Approach." Journal of Financial Economics 116, no. 3 (June 2015): 505–525.
- 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.
- December 2012
- Article
Evidence on the Use of Unverifiable Estimates in Required Goodwill Impairment
By: Karthik Ramanna and Ross L. Watts
SFAS 142 requires managers to estimate the current fair value of goodwill to determine goodwill write-offs. In promulgating the standard, the FASB predicted managers will, on average, use the fair value estimates to convey private information on future cash flows. The... View Details
Keywords: Goodwill Impairment; Fair-value Accounting; FASB; SFAS 142; Fair Value Accounting; Standards; Cash Flow; Agency Theory; Motivation and Incentives; Forecasting and Prediction; Goodwill Accounting
Ramanna, Karthik, and Ross L. Watts. "Evidence on the Use of Unverifiable Estimates in Required Goodwill Impairment." Review of Accounting Studies 17, no. 4 (December 2012): 749–780.
- 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.)