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(3,296)
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Show Results For
- All HBS Web
(3,296)
- News (517)
- Research (2,504)
- Events (43)
- Multimedia (18)
- Faculty Publications (1,610)
- 27 Feb 2015
- News
Harvard Business School Professors Predict Retail Revolution
- 2006
- Working Paper
Managing Functional Biases in Organizational Forecasts: A Case Study of Consensus Forecasting in Supply Chain Planning
To date, little research has been done on managing the organizational and political dimensions of generating and improving forecasts in corporate settings. We examine the implementation of a supply chain planning process at a consumer electronics company, concentrating... View Details
Keywords: Prejudice and Bias; Business or Company Management; Supply Chain Management; Forecasting and Prediction; Planning; Electronics Industry
Oliva, Rogelio, and Noel Watson. "Managing Functional Biases in Organizational Forecasts: A Case Study of Consensus Forecasting in Supply Chain Planning." Harvard Business School Working Paper, No. 07-024, October 2006. (Revised March 2007, January 2008.)
- May 2022
- Article
Coins for Bombs: The Predictive Ability of On-Chain Transfers for Terrorist Attacks
By: Dan Amiram, Evgeny Lyandres and Daniel Rabetti
This study examines whether we can learn from the behavior of blockchain-based transfers to predict the financing of terrorist attacks. We exploit blockchain transaction transparency to map millions of transfers for hundreds of large on-chain service providers. The... View Details
Keywords: Blockchain; Bitcoin; Accounting; AI and Machine Learning; National Security; Governing Rules, Regulations, and Reforms
Amiram, Dan, Evgeny Lyandres, and Daniel Rabetti. "Coins for Bombs: The Predictive Ability of On-Chain Transfers for Terrorist Attacks." Journal of Accounting Research 60, no. 2 (May 2022): 427–466.
- Article
End the Mythmaking and Return to True Analysis
By: Joseph B. Fuller
Fuller, Joseph B. "End the Mythmaking and Return to True Analysis." Financial Times (January 22, 2002).
- 05 Jun 2017
- News
5 Takeaways For The C-Suite From 2016's Vote Prediction Debacles
- May 2022
- Supplement
Borusan CAT: Monetizing Prediction in the Age of AI (B)
By: Navid Mojir and Gamze Yucaoglu
Borusan Cat is an international distributor of Caterpillar heavy machines. In 2021, it had been three years since Ozgur Gunaydin (CEO) and Esra Durgun (Director of Strategy, Digitization, and Innovation) started working on Muneccim, the company’s predictive AI tool.... View Details
Keywords: AI and Machine Learning; Commercialization; Technology Adoption; Industrial Products Industry; Turkey; Middle East
Mojir, Navid, and Gamze Yucaoglu. "Borusan CAT: Monetizing Prediction in the Age of AI (B)." Harvard Business School Supplement 522-045, May 2022.
- October 2014
- Supplement
Financial Policy at Apple, 2013 Powerpoint Supplement
By: Mihir Desai and Elizabeth A. Meyer
This is the PowerPoint supplement to the teaching note: Financial Policy at Apple, 2013 (A) - (B), number 215-022. View Details
Keywords: Apple; Steve Jobs; Forecast; Forecasting; Forecasting And Prediction; Shareholder Activism; Share Repurchase; Dividends; Financial Ratios; Preferred Shares; Cash Distribution; Corporate Finance; Borrowing and Debt; Financial Management; Financial Strategy; Technology Industry; Consumer Products Industry; United States; Republic of Ireland
Desai, Mihir, and Elizabeth A. Meyer. "Financial Policy at Apple, 2013 Powerpoint Supplement." Harvard Business School PowerPoint Supplement 215-023, October 2014.
Coins for Bombs: The Predictive Ability of On-Chain Transfers for Terrorist Attacks
This study examines whether we can learn from the behavior of blockchain-based transfers to predict the financing of terrorist attacks. We exploit blockchain transaction transparency to map millions of transfers for hundreds of large on-chain service providers.... View Details
- December 2005
- Article
Adjusting Choice Models to Better Predict Market Behavior
By: Greg Allenby, Geraldine Fennel, Joel Huber, Thomas Eagle, Tim Gilbride, Jaehwan Kim, Peter Lenk, Rich Johnson, Bryan Orme, Elie Ofek, Thomas Otter and Joan Walker
Allenby, Greg, Geraldine Fennel, Joel Huber, Thomas Eagle, Tim Gilbride, Jaehwan Kim, Peter Lenk, Rich Johnson, Bryan Orme, Elie Ofek, Thomas Otter, and Joan Walker. "Adjusting Choice Models to Better Predict Market Behavior." Marketing Letters 16, nos. 3/4 (December 2005).
- 02 Nov 2006
- Working Paper Summaries
Managing Functional Biases in Organizational Forecasts: A Case Study of Consensus Forecasting in Supply Chain Planning
Keywords: by Rogelio Oliva & Noel H. Watson
- 2011
- Article
A Choice Prediction Competition for Social Preferences in Simple Extensive Form Games: An Introduction
By: Eyal Ert, Ido Erev and Alvin E. Roth
Two independent, but related, choice prediction competitions are organized that focus on behavior in simple two-person extensive form games: one focuses on predicting the choices of the first mover and the other on predicting the choices of the second mover. The... View Details
Keywords: Forecasting and Prediction; Behavior; Decision Choices and Conditions; Competition; Motivation and Incentives; Game Theory; Fairness
Ert, Eyal, Ido Erev, and Alvin E. Roth. "A Choice Prediction Competition for Social Preferences in Simple Extensive Form Games: An Introduction." Special Issue on Predicting Behavior in Games. Games 2, no. 3 (September 2011): 257–276.
- Article
Attention Prediction on Social Media Brand Pages
By: Himabindu Lakkaraju and Jitendra Ajmera
Lakkaraju, Himabindu, and Jitendra Ajmera. "Attention Prediction on Social Media Brand Pages." Proceedings of the ACM Conference on Information and Knowledge Management 20th (2011).
- December 1988 (Revised May 1989)
- Background Note
PROFORMA: An Aid for Analyzing Accounting Statements for the Purposes of Constructing Proformas and Forecasting
By: John E. Bishop
Bishop, John E. "PROFORMA: An Aid for Analyzing Accounting Statements for the Purposes of Constructing Proformas and Forecasting." Harvard Business School Background Note 189-108, December 1988. (Revised May 1989.)
- 2021
- Working Paper
Entrepreneurial Learning and Strategic Foresight
By: Aticus Peterson and Andy Wu
We study how learning by experience across projects affects an entrepreneur's strategic foresight. In a quantitative study of 314 entrepreneurs across 722 crowdfunded projects supplemented with a program of qualitative interviews, we counterintuitively find that... View Details
Keywords: Experience; Interdependency; Strategic Foresight; Crowdfunding; Timeline; Delay; Forecasting; Entrepreneurship; Learning; Complexity; Forecasting and Prediction; Product Development; Planning
Peterson, Aticus, and Andy Wu. "Entrepreneurial Learning and Strategic Foresight." Harvard Business School Working Paper, No. 21-123, January 2021. (Revised May 2021.)
- July 1981
- Article
On Market Timing and Investment Performance Part I: An Equilibrium Theory of Value for Market Forecasts
By: Robert C. Merton
Merton, Robert C. "On Market Timing and Investment Performance Part I: An Equilibrium Theory of Value for Market Forecasts." Journal of Business 54, no. 3 (July 1981): 363–406.
- August 2006
- Article
Predicting Returns with Managerial Decision Variables: Is There a Small-Sample Bias?
By: Malcolm Baker, Ryan Taliaferro and Jeffrey Wurgler
Many studies find that aggregate managerial decision variables, such as aggregate equity issuance, predict stock or bond market returns. Recent research argues that these findings may be driven by an aggregate time-series version of Schultz's (2003, Journal of Finance... View Details
Keywords: Prejudice and Bias; Fairness; Managerial Roles; Management Analysis, Tools, and Techniques; Equity; Bonds; Financial Markets; Investment; Capital Markets; Borrowing and Debt; Investment Return
Baker, Malcolm, Ryan Taliaferro, and Jeffrey Wurgler. "Predicting Returns with Managerial Decision Variables: Is There a Small-Sample Bias?" Journal of Finance 61, no. 4 (August 2006): 1711–1730. (Section V of "Pseudo Market Timing and Predictive Regressions, NBER Working Paper Series, No. 10823, contains additional analyses.)
- June 2023
- Article
When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju
As machine learning (ML) models are increasingly being employed to assist human decision
makers, it becomes critical to provide these decision makers with relevant inputs which can
help them decide if and how to incorporate model predictions into their decision... View Details
McGrath, Sean, Parth Mehta, Alexandra Zytek, Isaac Lage, and Himabindu Lakkaraju. "When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making." Transactions on Machine Learning Research (TMLR) (June 2023).
- 2020
- Conference Presentation
Semantic Embeddings of Verbal Descriptions Predict Action Similarity Judgments
By: L. Tarhan, J. De Freitas, G. A. Alvarez and T. Konkle
- 26 Jun 2014
- News
Shifting toward Defined Contributions — Predicting the Effects
- Article
Predicting Soccer Matches after Unconscious and Conscious Thought as a Function of Expertise
Keywords: Cognition and Thinking
Dijksterhuis, Ap, Maarten W. Bos, Andries Van der Leij, and Rick B. Van Baaren. "Predicting Soccer Matches after Unconscious and Conscious Thought as a Function of Expertise." Psychological Science 20, no. 11 (November 2009): 1381–1387.