Filter Results:
(5,279)
Show Results For
- All HBS Web
(5,279)
- People (41)
- News (1,094)
- Research (2,962)
- Events (20)
- Multimedia (200)
- Faculty Publications (1,505)
Show Results For
- All HBS Web
(5,279)
- People (41)
- News (1,094)
- Research (2,962)
- Events (20)
- Multimedia (200)
- Faculty Publications (1,505)
- 03 Dec 2012
- HBS Case
HBS Cases: Against the Grain
complex society? But other students rejected this criticism, arguing that one is never fully prepared for the challenges life throws out. Entrepreneurs Tackle Corruption Several other cases from Ramanna's View Details
- 2016
- Chapter
User-Generated Content and Social Media
By: Michael Luca
This paper documents what economists have learned about user-generated content (UGC) and social media. A growing body of evidence suggests that UGC on platforms ranging from Yelp to Facebook has a large causal impact on economic and social outcomes ranging from... View Details
Keywords: User-generated Content; Crowdsourcing; Design Economics; Internet and the Web; Marketing; Economics; Media; Social Media
Luca, Michael. "User-Generated Content and Social Media." Chap. 12 in Handbook of Media Economics. Vol. 1B, edited by Simon Anderson, Joel Waldfogel, and David Strömberg. North-Holland Publishing Company, 2016.
- 28 Oct 2011
- Working Paper Summaries
Fairness, Efficiency, and Flexibility in Organ Allocation for Kidney Transplantation
- March 2001 (Revised April 2002)
- Case
Rent-Way, Inc. (A)
By: David F. Hawkins
The company uses the units of activity method to account for its rental inventory. A prominent hedge fund advisor recommends the company's stock be sold short. View Details
Keywords: Mathematical Methods; Stock Shares; Fair Value Accounting; Quality; Investment Funds; Service Industry
Hawkins, David F. "Rent-Way, Inc. (A)." Harvard Business School Case 101-089, March 2001. (Revised April 2002.)
- 11 Apr 2017
- First Look
First Look at New Research, April 11
outside opportunities in the labor market. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=52495 March 2017 Review of Industrial Organization Challenges for Empirical Research on RPM By: MacKay, Alexander J., and David A.... View Details
- August 2003 (Revised May 2009)
- Background Note
Basic Venture Capital Formula, The
By: William A. Sahlman and Matthew Willis
Briefly summarizes the process that venture capitalists use to analyze high-risk, long-term investments. Contains information on methods that can be used to calculate valuation, share price, percent ownership, implied valuation, dilution, and option pools. View Details
Sahlman, William A., and Matthew Willis. "Basic Venture Capital Formula, The." Harvard Business School Background Note 804-042, August 2003. (Revised May 2009.)
- 21 May 2014
- Lessons from the Classroom
CORe: HBS Powers Up Online Program on Business Fundamentals
As a Harvard Business School professor for 20 years, V.G. Narayanan has significant experience using the School's pioneering case method to teach business concepts—introducing a real-world management... View Details
- 17 Apr 2017
- HBS Case
This Turkish Debt Collector Is Customer-friendly
of both their consumers and regulators. “Usually, with debt collection, the object is to dial for dollars—collect as much as you can in the first phone call, and then outsource the work to the legal system,” says Campbell, whose research... View Details
- 17 May 2022
- Cold Call Podcast
Delivering a Personalized Shopping Experience with AI
Keywords: Re: Jill J. Avery
- January 22, 2020
- Article
Making Honest Conversations the Norm
By: Michael Beer
Much admired companies like Boeing and Wells Fargo sacrifice their competitive advantage. Some make huge ethical blunders. As a result, shareholders suffer huge losses in value while employees, customers, and society lose trust and confidence in the institution. Based... View Details
Keywords: Honesty; Interpersonal Communication; Framework; Organizational Culture; Trust; Performance Effectiveness
Beer, Michael. "Making Honest Conversations the Norm." ChangeThis (blog) (January 22, 2020).
- 11 May 2018
- News
Online Ad Targeting Does Work—As Long As It's Not Creepy
- February 2021 (Revised April 2021)
- Case
Board Director Dilemmas—Back the SPAC?
By: Suraj Srinivasan, David G. Fubini and Amram Migdal
This case focuses on a board director of a diversified holding company. The firm’s longtime CEO had always exhibited a cautious, methodical approach to growth. Now, the CEO is raising the idea of joining with a special purpose acquisition company (SPAC) to spin off... View Details
Srinivasan, Suraj, David G. Fubini, and Amram Migdal. "Board Director Dilemmas—Back the SPAC?" Harvard Business School Case 121-042, February 2021. (Revised April 2021.)
- November 2021
- Article
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data
By: William Herlands, Edward McFowland III, Andrew Gordon Wilson and Daniel B. Neill
Identifying anomalous patterns in real-world data is essential for understanding where, when, and how systems deviate from their expected dynamics. Yet methods that separately consider the anomalousness of each individual data point have low detection power for subtle,... View Details
Herlands, William, Edward McFowland III, Andrew Gordon Wilson, and Daniel B. Neill. "Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data." Proceedings of Machine Learning Research (PMLR) 84 (2018): 425–434. (Also presented at the 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.)
- 27 Nov 2023
- Research & Ideas
Voting Democrat or Republican? The Critical Childhood Influence That's Tough to Shake
American political candidates are forecast to spend as much as $12 billion by next November to put ads on airwaves, texts on phones, and signs on lawns. Yet new research from Harvard Business School finds that no amount of money can undo... View Details
Keywords: by Ben Rand
- August 2023
- Article
Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet models have become more complex and harder to understand. To understand complex models, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use... View Details
Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel." Nature Machine Intelligence 5, no. 8 (August 2023): 873–883.
- March 2015 (Revised January 2020)
- Supplement
Behavioural Insights Team (B)
By: Michael Luca and Patrick Rooney
The Behavioural Insights Team case introduces students to the concept of choice architecture and the value of experimental methods (sometimes called A/B testing) within organizational contexts. The exercise provides an opportunity for students to apply these principles... View Details
Keywords: Behavioral Economics; Experiments; Choice Architecture; Public Entrepreneurship; United Kingdom
Luca, Michael, and Patrick Rooney. "Behavioural Insights Team (B)." Harvard Business School Supplement 915-025, March 2015. (Revised January 2020.)
- Research Summary
Compensatory Transfers in Collective Decision Making
By: Jerry R. Green
Jerry R. Green is studying mechanisms that can be employed to promote efficient collective decisions while providing justifiable compensation to participants who favor different, less efficient alternatives. This type of decision problem is pervasive in business,... View Details
- 2021
- Working Paper
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research. However, recent advances in econometric theory show that such designs are likely to be biased in the... View Details
Keywords: Difference In Differences; Staggered Difference-in-differences Designs; Generalized Difference-in-differences; Dynamic Treatment Effects; Mathematical Methods
Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" European Corporate Governance Institute Finance Working Paper, No. 736/2021, February 2021. (Harvard Business School Working Paper, No. 21-112, April 2021.)
- 27 Apr 2021
- Research & Ideas
New Research: Surviving Bankruptcy, Useful Economics, and Retirement
global accelerator in which judges across international regions are randomly assigned to evaluate startups headquartered across the globe.” Case Studies and Materials Rolex SA Doug J. Chung “Rolex SA was one of the most successful... View Details
- Research Summary
Overview
Professor Goh’s primary research interest is applying mathematical models to real-world problems in health care in order to inform, improve, and enhance medical decision making and health policy. His recent work in this domain focuses on developing new methods for... View Details