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Show Results For
- All HBS Web
(2,268)
- People (7)
- News (514)
- Research (1,427)
- Events (29)
- Multimedia (1)
- Faculty Publications (568)
- 13 Apr 2015
- News
Partners with Purpose
- September 2019
- Article
Trading Networks with Frictions
By: Tamás Fleiner, Ravi Jagadeesan, Zsuzsanna Jankó and Alexander Teytelboym
We show how frictions and continuous transfers jointly affect equilibria in a model of matching in trading networks. Our model incorporates distortionary frictions such as transaction taxes and commissions. When contracts are fully substitutable for firms, competitive... View Details
Keywords: Trading Networks; Frictions; Competitive Equilibrium; Matching With Contracts; Stability; Trail Stability
Fleiner, Tamás, Ravi Jagadeesan, Zsuzsanna Jankó, and Alexander Teytelboym. "Trading Networks with Frictions." Econometrica 87, no. 5 (September 2019): 1633–1661.
- January 2010 (Revised October 2010)
- Background Note
News in the Digital World: Who Pays?
By: Stephen P. Bradley and Nancy Bartlett
Models to monetizing news in the digital landscape, which is real-time, searchable, sharable, multi-sourced, anytime, and any screen, were emerging in 2010. Could content creators get people to pay for what they watched, read, listened to, and shared online? Were news... View Details
Keywords: Business Model; Newspapers; Disruptive Innovation; Technological Innovation; Online Technology; Journalism and News Industry; Publishing Industry
Bradley, Stephen P., and Nancy Bartlett. "News in the Digital World: Who Pays?" Harvard Business School Background Note 710-456, January 2010. (Revised October 2010.)
- Research Summary
Derivative Securities
Professor Chacko's research on financial engineering has addressed the valuation and application of derivative securities. Professor Chacko's research has looked at the pricing of a variety of derivative securities, including fixed-income securities. He has developed... View Details
- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details
Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization
Huang, Ta-Wei, Eva Ascarza, and Ayelet Israeli. "Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization." Harvard Business School Working Paper, No. 24-076, June 2024.
- March 2020
- Supplement
People Analytics at Teach For America (B)
By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, situated one year after the A case, Managing Director Michael Metzger must decide how to apply his team's predictive models generated from the previous year’s data. View Details
Keywords: Analytics; Human Resource Management; Data; Workforce; Hiring; Talent Management; Forecasting; Predictive Analytics; Organizational Behavior; Recruiting; Analytics and Data Science; Forecasting and Prediction; Recruitment; Selection and Staffing; Talent and Talent Management
Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (B)." Harvard Business School Supplement 420-086, March 2020.
- 19 Sep 2023
- HBS Case
How Will the Tech Titans Behind ChatGPT, Bard, and LLaMA Make Money?
says. “I think the basic economics of a generative AI are being overlooked.” In an interview, Wu discusses the challenging economics of AI, how business models are likely to differ from traditional software... View Details
- 12 Mar 2024
- HBS Case
How Used Products Can Unlock New Markets: Lessons from Apple's Refurbished iPhones
Some of Apple’s most loyal customers think nothing of upgrading to the latest iPhone every time one comes out. But what about consumers who can’t splurge on a $1,000 iPhone 15 Pro? And what about the electronic waste that would accrue if people threw away functional... View Details
- 2009
- Working Paper
Integrity: Without It Nothing Works
By: Michael C. Jensen
There is confusion between integrity, morality and ethics. In our much longer paper on the topic (see "Integrity: A Positive Model that Incorporates the Normative Phenomena of Morality, Ethics and Legality" (available at http://ssrn.com/abstract=920625)) my co-authors,... View Details
- 03 Dec 2024
- HBS Seminar
Jing Dong, Columbia
- 29 Apr 2025
- HBS Seminar
Magie Cheng & David Huang
- January 2014 (Revised January 2017)
- Case
Nivea (A)
By: Karim R. Lakhani, Johann Fuller, Volker Bilgram and Greta Friar
The case describes the efforts of Beiersdorf, a worldwide leader in the cosmetics and skin care industries, to generate and commercialize new R&D through open innovation using external crowds and "netnographic" analysis. Beiersdorf, best known for its consumer brand... View Details
Keywords: Innovation; Innovation Management; Crowdsourcing; Big Data; Innovation Strategy; Innovation and Management; Knowledge Management; Knowledge Sharing; Research and Development; Social and Collaborative Networks; Collaborative Innovation and Invention; Analytics and Data Science; Beauty and Cosmetics Industry; Consumer Products Industry
Lakhani, Karim R., Johann Fuller, Volker Bilgram, and Greta Friar. "Nivea (A)." Harvard Business School Case 614-042, January 2014. (Revised January 2017.)
- 18 Feb 2019
- Working Paper Summaries
Diagnostic Bubbles
- October 2015
- Article
Agglomerative Forces and Cluster Shapes
By: William R. Kerr and Scott Duke Kominers
We model spatial clusters of similar firms. Our model highlights how agglomerative forces lead to localized, individual connections among firms, while interaction costs generate a defined distance over which attraction forces operate. Overlapping firm interactions... View Details
Keywords: Agglomeration; Clusters; Industrial Organization; Silicon Valley; Technology Flows; Patents; Networks; Information Technology; Industry Clusters; Entrepreneurship; California
Kerr, William R., and Scott Duke Kominers. "Agglomerative Forces and Cluster Shapes." Review of Economics and Statistics 97, no. 4 (October 2015): 877–899.
- 07 Jul 2008
- Research & Ideas
Innovation Corrupted: How Managers Can Avoid Another Enron
the rewards were great. This initial success prompted Enron to extrapolate its business model to other markets. In 1994, Enron officials started trading wholesale electricity after Congress deregulated the industry; Enron analysts... View Details
- Article
Optimal Taxation When Children's Abilities Depend on Parents' Resources
By: Alexander Gelber and Matthew Weinzierl
Empirical research suggests that parents' economic resources affect their children's future earnings abilities. Optimal tax policy therefore treats future ability distributions as endogenous to current taxes. We model this endogeneity, calibrate the model to match... View Details
Gelber, Alexander, and Matthew Weinzierl. "Optimal Taxation When Children's Abilities Depend on Parents' Resources." National Tax Journal 69, no. 1 (March 2016): 11–40. (Winner, Richard A. Musgrave prize for best paper published in the NTJ.
Also HBS Working Paper 13-014 and NBER Working Paper 18332.)
- 2010
- Working Paper
Agglomerative Forces and Cluster Shapes
By: William R. Kerr and Scott Duke Kominers
We model spatial clusters of similar firms. Our model highlights how agglomerative forces lead to localized, individual connections among firms, while interaction costs generate a defined distance over which attraction forces operate. Overlapping firm interactions... View Details
Keywords: Entrepreneurship; Geographic Location; Patents; Labor; Industry Clusters; Industry Structures; Relationships; Competitive Advantage; Technology Industry; California
Kerr, William R., and Scott Duke Kominers. "Agglomerative Forces and Cluster Shapes." Harvard Business School Working Paper, No. 11-061, December 2010.