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Show Results For
- All HBS Web
(2,881)
- News (476)
- Research (2,210)
- Events (43)
- Multimedia (14)
- Faculty Publications (1,424)
- 10 Sep 2008
- Research & Ideas
Long-Tail Economics? Give Me Blockbusters!
development projects, some with predictable sales results, others more risky. The former pay for the company's daily bread and butter and fund R&D on future blockbusters. Inverness Medical Innovations, for example, is following... View Details
- 01 Dec 2008
- News
NYC Club Hosts Nonprofits
general expectation that in a down economy many donors of necessity will be less generous just when demand for services from nonprofits will be on the upswing. As a result, several panelists predicted that many smaller nonprofits will... View Details
- 17 Sep 2013
- First Look
First Look: September 17
impact people's feelings about their decisions. We compare post-choice satisfaction from choices made by mind wandering to reason based choices and randomly assigned outcomes. Participants chose a poster by mind wandering or deliberating-or were randomly assigned a... View Details
Keywords: Sean Silverthorne
- June 2019 (Revised September 2024)
- Case
Parrot: Navigating the Nascent Drone Industry
By: Rory M. McDonald, Emilie Billaud and Vincent Dessain
In 2018, Henri Seydoux, CEO and Founder of Parrot, believed that his company was at an inflection point in its history. Parrot had been a European leader in consumer electronics since the 1990s, first developing Bluetooth kits for cars before moving on to electronic... View Details
Keywords: Forecasting and Prediction; Disruption; Entrepreneurship; Corporate Strategy; Technological Innovation; Leading Change; Competitive Advantage; Information Technology; Competitive Strategy; Consumer Products Industry; Electronics Industry; Entertainment and Recreation Industry; Motion Pictures and Video Industry; Technology Industry; Video Game Industry; Europe; France; Paris
McDonald, Rory M., Emilie Billaud, and Vincent Dessain. "Parrot: Navigating the Nascent Drone Industry." Harvard Business School Case 619-085, June 2019. (Revised September 2024.)
- June 2018 (Revised April 2021)
- Supplement
Valuing Snap After the IPO Quiet Period
By: Benjamin C. Esty, Marco Di Maggio and Greg Saldutte
Keywords: Sell-side Analysts; Underwriters; Investment Banking; Social Network; Discounted Cash Flow; Cost Of Capital; Conflicts Of Interest; Corporate Governance; Advertising; Quiet Period; Business Startups; Digital Marketing; Initial Public Offering; Information Infrastructure; Valuation; Venture Capital; Forecasting and Prediction; Social Media; United States; California
- June 2018
- Supplement
Valuing Snap After the IPO Quiet Period (B)
By: Marco Di Maggio and Benjamin C. Esty
Analyzes Snap’s value and analyst recommendations following the events described in the (A) case. View Details
Keywords: Sell-side Analysts; Underwriters; Investment Banking; Social Network; Discounted Cash Flow; Cost Of Capital; Conflicts Of Interest; Corporate Governance; Advertising; Quiet Period; Business Startups; Digital Marketing; Initial Public Offering; Information Infrastructure; Valuation; Venture Capital; Forecasting and Prediction; Social Media; Advertising Industry; Entertainment and Recreation Industry; Web Services Industry; United States; California
Di Maggio, Marco, and Benjamin C. Esty. "Valuing Snap After the IPO Quiet Period (B)." Harvard Business School Supplement 218-096, June 2018.
- June 2018 (Revised April 2021)
- Case
Valuing Snap After the IPO Quiet Period (A)
By: Marco Di Maggio, Benjamin C. Esty and Gregory Saldutte
Snap, the disappearing message app, went public at $17 per share on March 2, 2017, making its two 20-something founders the youngest self-made billionaires in the country. Over the next three weeks, 14 analysts made investment recommendations on Snap: two with buy... View Details
Keywords: Sell-side Analysts; Underwriters; Investment Banking; Social Network; Discounted Cash Flow; Cost Of Capital; Conflicts Of Interest; Corporate Governance; Advertising; Quiet Period; "DCF Valuation,"; Business Startups; Digital Marketing; Initial Public Offering; Information Infrastructure; Valuation; Venture Capital; Forecasting and Prediction; Social Media; Advertising Industry; Entertainment and Recreation Industry; Web Services Industry; United States; California
Di Maggio, Marco, Benjamin C. Esty, and Gregory Saldutte. "Valuing Snap After the IPO Quiet Period (A)." Harvard Business School Case 218-095, June 2018. (Revised April 2021.)
- 05 May 2009
- First Look
First Look: May 5, 2009
foreign countries, the model predicts growth in the number of source-country firms engaging in foreign direct investment, growth in the size of affiliates that are active in reforming countries both before and after the tariff reduction,... View Details
Keywords: Martha Lagace
- 2024
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We investigate whether corporate officers should grant managers discretion to override AI-driven demand forecasts and labor scheduling tools. Analyzing five years of administrative data from a large grocery retailer using such an AI tool, encompassing over 500 stores,... View Details
Keywords: AI and Machine Learning; Forecasting and Prediction; Working Conditions; Performance Productivity
Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, April 2024.
- October 2002
- Article
Differences of Opinion and the Cross-Section of Stock Returns
By: Karl B. Diether, Christopher J. Malloy and Anna Scherbina
We provide evidence that stocks with higher dispersion in analysts' earnings forecasts earn lower future returns than otherwise similar stocks. This effect is most pronounced in small stocks, and stocks that have performed poorly over the past year. Interpreting... View Details
Diether, Karl B., Christopher J. Malloy, and Anna Scherbina. "Differences of Opinion and the Cross-Section of Stock Returns." Journal of Finance 57, no. 5 (October 2002): 2113–2141.
- 21 Jan 2009
- First Look
First Look: January 21, 2009
misperceptions: People predict that they will behave more ethically than they actually do, and when evaluating past (un)ethical behavior, they believe they behaved more ethically than they actually did. We use the "want/should"... View Details
Keywords: Martha Lagace
- 18 Mar 2009
- Research & Ideas
Marketing After the Recession
the result will be continuing downward pressure on prices. Economic recovery will not allow producers to let up on tightening cost controls and improving productivity. Know your lead indicators. Every good marketer knows the specific indicators, macro or micro, that... View Details
- 27 Jul 2019
- Op-Ed
Does Facebook's Business Model Threaten Our Elections?
platform. Advertisers used that data to create psychographic profiles of potential customers that went beyond mere demographics to give insights into what they like and value. Studies have found that with just 10 “likes” an algorithm can View Details
Keywords: by George Riedel
- 28 Jun 2011
- First Look
First Look: June 28
straightforward processing to update prices, while the other set requires more complicated analyses to incorporate the same piece of information into prices. We document substantial return predictability from the set of easy-to-analyze... View Details
Keywords: Sean Silverthorne
- 05 Jul 2006
- First Look
First Look: July 5, 2006
predictive and prescriptive implications, this theory contributes to the general notion that pricing might affect as much as capture perceived value. Paper: http://www.hbs.edu/research/pdf/06-055.pdf Capital Structure with Risky Foreign... View Details
Keywords: Sean Silverthorne
- Portrait Project
Arnaud Karsenti
desktop is up and running. Welcome to the life of a global entrepreneur. What are you going to do today? The best way to predict the future is to create it. When I look towards my future, I see a life of constant creation: the creation of... View Details
- 12 Feb 2019
- First Look
New Research and Ideas, February 12, 2019
Joy—and What Will By: Whillans, A.V. Abstract— No abstract available. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=55600 forthcoming Emotion Common Variants of the Oxytocin Receptor Gene Do Not Predict the Positive... View Details
Keywords: Dina Gerdeman
- September 2002
- Case
Align Technology, Inc.: Matching Manufacturing Capacity to Sales Demand
By: H. Kent Bowen and Jonathan P Groberg
Align Technology is a four-year-old medical products company that has invented a new product requiring new manufacturing processes. Demand for the new product has grown more slowly than initial forecasts predicted, and the cost structure is preventing the company from... View Details
Keywords: Health Care and Treatment; Collaborative Innovation and Invention; Problems and Challenges; Product; Forecasting and Prediction; Marketing Strategy; Sales; Demand and Consumers; Production; Health Industry
Bowen, H. Kent, and Jonathan P Groberg. "Align Technology, Inc.: Matching Manufacturing Capacity to Sales Demand." Harvard Business School Case 603-058, September 2002.
- February 2024
- Teaching Note
AB InBev: Brewing Up Forecasts during COVID-19
By: Mark Egan and C. Fritz Foley
Teaching Note for HBS Case No. 224-020. In July 2021, the CEO of AB InBev's European operations and his team strategized to position the company for success post-pandemic. As the world's largest beer company, boasting over 500 brands, revenue of $46 billion, and a... View Details
- June 2018 (Revised October 2018)
- Teaching Note
Valuing Snap After the IPO Quiet Period (A), (B), and (C)
By: Marco Di Maggio and Benjamin C. Esty
Teaching Note for HBS Nos. 218-095, 218-096, and 218-116. View Details
Keywords: Sell-side Analysts; Underwriters; Investment Banking; Social Network; Discounted Cash Flow; Cost Of Capital; Conflicts Of Interest; Corporate Governance; Advertising; Quiet Period; Business Startups; Digital Marketing; Initial Public Offering; Information Infrastructure; Valuation; Venture Capital; Forecasting and Prediction; Social Media; Advertising Industry; Entertainment and Recreation Industry; Web Services Industry; United States; California