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(3,299)
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Show Results For
- All HBS Web
(3,299)
- News (517)
- Research (2,506)
- Events (43)
- Multimedia (18)
- Faculty Publications (1,615)
- 27 Feb 2019
- HBS Seminar
David Robinson, Fuqua School of Business at Duke University
- August 2018
- Case
BlackBuck (A)
By: Shikhar Ghosh and Shweta Bagai
The case presents the challenges of scaling an asset-heavy company (that relies on its operations). It highlights how decisions on the early team impact a company’s ability to scale, linkage between growth and cash flows, as well the organizational impact of high... View Details
- June 1981 (Revised May 1988)
- Case
L.L. Bean, Inc.: Corporate Strategy
By: Hirotaka Takeuchi
L.L. Bean, Inc., a Maine-based manufacturer and mail-order retailer of sporting goods and apparel, has grown from $3 million in sales (1967) to over $120 million (1980). Current projections predict an annual compounded growth of 25% through 1985. Management must decide... View Details
Keywords: Globalization; Growth and Development; Growth Management; Production; Quality; Sales; Situation or Environment; Corporate Strategy; Internet and the Web; Apparel and Accessories Industry; Apparel and Accessories Industry
Takeuchi, Hirotaka. "L.L. Bean, Inc.: Corporate Strategy." Harvard Business School Case 581-159, June 1981. (Revised May 1988.)
- 2024
- Working Paper
How Inflation Expectations De-Anchor: The Role of Selective Memory Cues
By: Nicola Gennaioli, Marta Leva, Raphael Schoenle and Andrei Shleifer
In a model of memory and selective recall, household inflation expectations remain rigid when inflation is anchored but exhibit sharp instability during inflation surges, as similarity prompts retrieval of forgotten high-inflation experiences. Using data from the New... View Details
Gennaioli, Nicola, Marta Leva, Raphael Schoenle, and Andrei Shleifer. "How Inflation Expectations De-Anchor: The Role of Selective Memory Cues." NBER Working Paper Series, No. 32633, June 2024.
- 20 Nov 2008
- Working Paper Summaries
Was the Wealth of Nations Determined in 1000 B.C.?
- 2008
- Mimeo
Do Hedge Funds Profit from Mutual-Fund Distress?
By: Joseph Chen, Samuel G. Hanson, Harrison Hong and Jeremy C. Stein
This paper explores the question of whether hedge funds engage in frontrunning strategies that exploit the predictable trades of others. One potential opportunity for front-running arises when distressed mutual funds—those suffering large outflows of assets under... View Details
Keywords: Investment Funds; Profit; Strategy; Forecasting and Prediction; Investment Return; Opportunities; Asset Management; Sales
Chen, Joseph, Samuel G. Hanson, Harrison Hong, and Jeremy C. Stein. "Do Hedge Funds Profit from Mutual-Fund Distress?" 2008. Mimeo.
- Research Summary
Do Equity Covariances Reflect Financial Leverage?
No arbitrage option pricing theory and the efficient market hypothesis predict that firms with higher financial leverage should have higher equity betas, all else equal. This paper finds little support in the data for this prediction. Within industry, there is large... View Details
- July 2014 (Revised May 2015)
- Case
Making Room for the Baby Boom: Senior Living
By: Charles F. Wu, Joseph Beyer and Arthur I. Segel
Tom Alperin's National Development has purchased a building site in affluent Wellesley, MA, and is in the process of deciding whether to build apartments, a combination of independent living and assisted living units for seniors, or perhaps even higher acuity... View Details
Keywords: Senior Living; Assisted Living; Independent Living; Property; Finance; Real Estate Industry; Boston; Massachusetts; United States
Wu, Charles F., and Joseph Beyer. "Making Room for the Baby Boom: Senior Living." Harvard Business School Case 215-003, July 2014. (Revised May 2015.)
- Article
Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs
By: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland and Robert A. Gaudin
Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts, and tumors. In this study, we seek to investigate the... View Details
Keywords: Artificial Intelligence; Diagnosis; Computer-assisted; Image Interpretation; Machine Learning; Radiography; Panoramic Radiograph; AI and Machine Learning
Endres, Michael G., Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland, and Robert A. Gaudin. "Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs." Diagnostics 10, no. 6 (June 2020).
- 2011
- Working Paper
Why Fears about Municipal Credit Are Overblown
Highly publicized predictions of 50-100 municipal defaults have caused anxiety among municipal bond investors. While there is some chance that negative investor sentiment will lead to further spread widening, the probability of the kind of widespread default that would... View Details
Keywords: Financial Crisis; Borrowing and Debt; Insolvency and Bankruptcy; Bonds; Investment Return; City
Bergstresser, Daniel, and Randolph Cohen. "Why Fears about Municipal Credit Are Overblown." Harvard Business School Working Paper, No. 11-129, June 2011.
- October 2012 (Revised September 2014)
- Case
Doing Business in Vietnam
By: Alan MacCormack, Michael Shih-ta Chen and Dawn H. Lau
This case gives an overview of the current business environment in Vietnam as of 2012. The first part of the case introduces the main economic, political and cultural aspects of the country of which anyone who has business interest in the country ought to be aware.... View Details
- Research Summary
Overview
Professor Nagle studies how competitors can collaborate on the creation of core technologies, while still competing on the products and services built on top of them. His research falls into the broader categories of the futures of work, the economics of IT, and... View Details
- Research Summary
Overview
Engaged with field work in East Africa, South Asia, and in several large hybrid organizations in the United States, Professor Whillans places a focus on exploring questions with strong theoretical motivation in the social psychological literature and relevant... View Details
- April 2023
- Article
Learning Down to Train Up: Mentors Are More Effective When They Value Insights from Below
By: Ting Zhang, Dan Wang and Adam D. Galinsky
Although mentorship is vital for individual success, potential mentors often view it as a costly burden. To understand what motivates mentors to overcome this barrier and more fully engage with their mentees, we introduce a new construct, learning direction, which... View Details
Keywords: Mentoring; Learning Direction; Interpersonal Communication; Learning; Leadership Development
Zhang, Ting, Dan Wang, and Adam D. Galinsky. "Learning Down to Train Up: Mentors Are More Effective When They Value Insights from Below." Academy of Management Journal 66, no. 2 (April 2023): 604–637.
- January 2010
- Article
Clusters of Entrepreneurship
By: Edward L. Glaeser, William R. Kerr and Giacomo A.M. Ponzetto
Employment growth is strongly predicted by smaller average establishment size, both across cities and across industries within cities, but there is little consensus on why this relationship exists. Traditional economic explanations emphasize factors that reduce entry... View Details
Glaeser, Edward L., William R. Kerr, and Giacomo A.M. Ponzetto. "Clusters of Entrepreneurship." Journal of Urban Economics 67, no. 1 (January 2010): 150–168.
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- October 2009 (Revised July 2012)
- Case
Emotiv Systems Inc.: It's the Thoughts that Count
By: Elie Ofek, Jason Riis and Paul Hamilton
Emotiv is getting ready to launch its innovative brain-computer interfacing (BCI) technology. The company has developed a special headset, called EPOC, and highly sophisticated software that can translate a person's emotions, cognitive thoughts, and facial expressions... View Details
Keywords: Technology Adoption; Sales; Technological Innovation; Demand and Consumers; Marketing Strategy; Partners and Partnerships; Entrepreneurship; Forecasting and Prediction; Product Launch; Business Startups; Technology Industry
Ofek, Elie, Jason Riis, and Paul Hamilton. "Emotiv Systems Inc.: It's the Thoughts that Count." Harvard Business School Case 510-050, October 2009. (Revised July 2012.)
- December 2010
- Article
Implications for GAAP from an Analysis of Positive Research in Accounting
By: S.P. Kothari, Karthik Ramanna and Douglas J. Skinner
Based on extant literature, we review the positive theory of GAAP. The theory predicts that GAAP's principal focus is on control (performance measurement and stewardship) and that verifiability and conservatism are critical features of a GAAP shaped by market forces.... View Details
Keywords: Fair Value Accounting; Standards; International Accounting; Financial Markets; Financial Reporting
Kothari, S.P., Karthik Ramanna, and Douglas J. Skinner. "Implications for GAAP from an Analysis of Positive Research in Accounting." Journal of Accounting & Economics 50, nos. 2-3 (December 2010): 246–286. (Presented at the 2009 Journal of Accounting & Economics Conference.)
- Program
Competing in the Age of AI—Virtual
will delve into diverse applications of AI, machine learning, predictive modeling, and data science; explore network effects and platform strategies; View Details