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All HBS Web
(3,224)
- News (481)
- Research (2,406)
- Events (35)
- Multimedia (17)
- Faculty Publications (1,535)
- 01 Dec 1998
- News
Year 2000 Computer Problem and You: Disaster for Some, Lessons for All
With Y2K predictions running the gamut from glitches with home appliances to worldwide economic collapse, Y2K expert John F. Keane (MBA '54) assesses the situation as it appears with one year to go. John F. Keane is CEO View Details
Walter A. Friedman
Walter A. Friedman is Director of the Business History Initiative and Lecturer. He edits Business History Review with Geoff Jones. He specializes in business, labor, and economic history. He is author of Fortune Tellers: The Story of America's First... View Details
Rethinking Nuclear: Can We Change the World’s Cumulative Carbon Emissions Soon Enough?
Today’s existing nuclear power alternatives as well as renewables are currently forecast by the EIA and IEA to be losing the race with fossil fuels worldwide and are expected to continue do so for the forecast future. A suite of *new* nuclear power... View Details
- 2011
- Chapter
Prospective Codes Fufilled: A Potential Neural Mechanism of Will
By: Thalia Wheatley and Christine E. Looser
One of my few shortcomings is that I can’t predict the future.
Lars Ulrich, Metallica.
Lars Ulrich was right and wrong. He was right in the way we most often think about the future—as a long stretch of time during which multiply... View Details
Lars Ulrich, Metallica.
Lars Ulrich was right and wrong. He was right in the way we most often think about the future—as a long stretch of time during which multiply... View Details
Keywords:
Free Will;
Neuroscience;
Responsibility;
Prospection;
Forecasting and Prediction;
Science;
Cognition and Thinking
Wheatley, Thalia, and Christine E. Looser. "Prospective Codes Fufilled: A Potential Neural Mechanism of Will." Chap. 13 in Conscious Will and Responsibility: A Tribute to Benjamin Libet, edited by Walter Sinnott-Armstrong and Lynn Nadel, 146–158. New York: Oxford University Press, 2011.
- 15 Dec 2015
- News
The Year in Ideas 2015
will continue to see creative uses. I predict we’ll see more and more ‘line-waiting tasks’ for restaurants that don’t take reservations and for product launches.” —Jamie...
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- February 2024
- Module Note
Data-Driven Marketing in Retail Markets
By: Ayelet Israeli
This note describes an eight-class sessions module on data-driven marketing in retail markets. The module aims to familiarize students with core concepts of data-driven marketing in retail, including exploring the opportunities and challenges, adopting best practices,...
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Keywords:
Data;
Data Analytics;
Retail;
Retail Analytics;
Data Science;
Business Analytics;
"Marketing Analytics";
Omnichannel;
Omnichannel Retailing;
Omnichannel Retail;
DTC;
Direct To Consumer Marketing;
Ethical Decision Making;
Algorithmic Bias;
Privacy;
A/B Testing;
Descriptive Analytics;
Prescriptive Analytics;
Predictive Analytics;
Analytics and Data Science;
E-commerce;
Marketing Channels;
Demand and Consumers;
Marketing Strategy;
Retail Industry
Israeli, Ayelet. "Data-Driven Marketing in Retail Markets." Harvard Business School Module Note 524-062, February 2024.
- Research Summary
Dawn Matsumoto's research investigates managers' financial reporting decisions including the incentives driving these decisions and the impact of these decisions on capital market participants. She is interested in the role of financial intermediaries (such as...
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- 09 Dec 2019
- News
Identify Great Customers from Their First Purchase
- June 2023
- Case
Tractor Supply Co
By: David L. Ager and Michael A. Roberto
In February 2023, Hal Lawton, CEO of Tractor Supply Co, the largest farm and ranch retailer in the United States reflected on the company’s 70% growth between 2019 and 2022. Economists had begun to predict an economic downturn and experts were predicting softening...
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Keywords:
COVID-19 Pandemic;
Demand and Consumers;
Economic Slowdown and Stagnation;
Organizational Change and Adaptation;
Retail Industry
Ager, David L., and Michael A. Roberto. "Tractor Supply Co." Harvard Business School Case 923-302, June 2023.
- December 1970 (Revised September 2006)
- Case
Harmon Foods, Inc.
Prediction and shipment has been a scheduling and budgetary problem. Multiple regression is suggested as a solution. Evaluation of regression coefficients leads to better understanding of trend, seasonality, and promotion effectiveness.
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Keywords:
Demand and Consumers;
Production;
Forecasting and Prediction;
Budgets and Budgeting;
Food and Beverage Industry;
Food and Beverage Industry
Whiston, William B. "Harmon Foods, Inc." Harvard Business School Case 171-248, December 1970. (Revised September 2006.)
- Research Summary
Voluntary Disclosure
Professor Kimbrough's early work focused on the determinants and economic consequences of firms’ disclosure practices related to earnings. This included examinations of management forecasts and earnings-related conference calls.
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- October 2002 (Revised May 2021)
- Case
Group Process in the Challenger Launch Decision (A)
By: Amy C. Edmondson and Laura Feldman
The night before the launch of the Challenger shuttle, officials from Morton Thiokol (Solid Rocket Booster manufacturer) and NASA participated in a teleconference to discuss whether to postpone the shuttle launch due to predicted low temperatures at Kennedy Space...
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Keywords:
Process Analysis;
Problems and Challenges;
Groups and Teams;
Engineering;
Risk Management;
Analysis;
Decision Making;
Aerospace Industry;
United States
Edmondson, Amy C., and Laura Feldman. "Group Process in the Challenger Launch Decision (A)." Harvard Business School Case 603-068, October 2002. (Revised May 2021.)
- January 2008
- Background Note
Equity Options
By: Joshua Coval and Erik Stafford
The goal of this simulation is to understand the reliance of option values on volatility. When an investor trades an option, they are essentially trading volatility. Therefore, much of the focus in this lesson is on forecasting volatility. Students are able to use two...
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Keywords:
Volatility;
Forecasting and Prediction;
Stock Options;
Investment Return;
Price;
Market Transactions;
Mathematical Methods;
Value
Coval, Joshua, and Erik Stafford. "Equity Options." Harvard Business School Background Note 208-118, January 2008.
- April 2003 (Revised December 2006)
- Case
ZARA: Fast Fashion
By: Pankaj Ghemawat and Jose Luis Nueno
Focuses on Inditex, an apparel retailer from Spain, which has set up an extremely quick response system for its ZARA chain. Instead of predicting months before a season starts what women will want to wear, ZARA observes what's selling and what's not and continuously...
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Keywords:
Organizational Change and Adaptation;
Multinational Firms and Management;
Competitive Advantage;
Apparel and Accessories Industry;
Apparel and Accessories Industry;
Apparel and Accessories Industry;
Spain
Ghemawat, Pankaj, and Jose Luis Nueno. "ZARA: Fast Fashion." Harvard Business School Case 703-497, April 2003. (Revised December 2006.)
- June 2023 (Revised June 2023)
- Case
Optimalen Capital
A new client portfolio manager at a quantitative investment management firm must explain why her firm, Optimalen Capital, has rebalanced a client portfolio with a set of trades that seem unintuitive. In particular, Optimalen has added to its position of Walmart (ticker...
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Baker, Malcolm, Elisabeth Kempf, and Jonathan Wallen. "Optimalen Capital." Harvard Business School Case 223-099, June 2023. (Revised June 2023.)
- May 2021 (Revised February 2024)
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...
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Keywords:
Data;
Data Analytics;
Artificial Intelligence;
AI;
AI Algorithms;
AI Creativity;
Fashion;
Retail;
Retail Analytics;
E-Commerce Strategy;
Platform;
Platforms;
Big Data;
Preference Elicitation;
Predictive Analytics;
App Development;
"Marketing Analytics";
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
Online Advertising;
Referral Rewards;
Referrals;
Female Ceo;
Female Entrepreneur;
Female Protagonist;
Analytics and Data Science;
Analysis;
Creativity;
Marketing Strategy;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Forecasting and Prediction;
Marketing Channels;
Digital Marketing;
Internet and the Web;
Mobile and Wireless Technology;
AI and Machine Learning;
E-commerce;
Digital Platforms;
Apparel and Accessories Industry;
Apparel and Accessories Industry;
Apparel and Accessories Industry;
Apparel and Accessories Industry;
United States
- 22 Dec 2015
- News
Algorithms Need Managers, Too
- February 2006 (Revised September 2007)
- Background Note
Winner-Take-All in Networked Markets
Discusses platform structure in new networked markets, that is, whether a market that exhibits network effects will be served by a single platform or by rival platforms. Defines "platforms" and "platform structure"; describes factors that influence the odds that a...
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Keywords:
Forecasting and Prediction;
Growth Management;
Network Effects;
Digital Platforms;
Internet and the Web
Eisenmann, Thomas R. "Winner-Take-All in Networked Markets." Harvard Business School Background Note 806-131, February 2006. (Revised September 2007.)
- March 1980 (Revised February 1987)
- Case
Sweco, Inc. (A)
By: Michael E. Porter and George S. Yip
Describes Sweco's decision about whether to enter the mud-processing equipment industry (used in oil well drilling). This is an internal entry decision, and the case describes Sweco's existing businesses as well as the mud-processing industry and competitors. The case...
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Keywords:
Cost vs Benefits;
Decisions;
Forecasting and Prediction;
Cost;
Analytics and Data Science;
Market Entry and Exit;
Competition
Porter, Michael E., and George S. Yip. "Sweco, Inc. (A)." Harvard Business School Case 380-167, March 1980. (Revised February 1987.)
- 12 Jul 2016
- First Look
July 12, 2016
Calibrating the model to data from the Financial Accounts of the U.S., the optimal capital requirement is around 20%. Download working paper: https://pubwww.hbs.edu/faculty/Pages/item.aspx?num=51305 Bias in Official Fiscal Forecasts: Can Private View Details
Keywords:
Sean Silverthorne