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Show Results For
- All HBS Web
(2,334)
- People (7)
- News (511)
- Research (1,448)
- Events (20)
- Multimedia (1)
- Faculty Publications (580)
- 12 Nov 2008
- Research & Ideas
The Marketing of a President
polling places on election day. This policy of inclusion meant that voting records were set in the general election and the primaries. Fifth, his advertising messages and his tone and demeanor throughout the campaign consistently... View Details
Keywords: by John Quelch
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- January 2020 (Revised July 2020)
- Supplement
MoviePass: The 'Get Big Fast' Strategy
By: Benjamin C. Esty and Daniel Fisher
In August 2017, MoviePass dramatically lowered its subscription price from $50 per month to just $10 for up to one movie per day. The idea was to rapidly scale the business to the point where they could generate incremental revenue streams form related businesses... View Details
Keywords: Market Entry; Growth Strategy; Profit Vs. Growth; Subscription Business; Cash Burn; Data Analytics; Get-big-fast; Buyer Power; Strategy Implementation; Movie Industry; Racing; Business Strategy; Value Creation; Consolidation; Cash Flow; Growth Management; Business Startups; Entrepreneurship; Disruptive Innovation; Mobile Technology; Motion Pictures and Video Industry; Entertainment and Recreation Industry; Advertising Industry; Information Industry; United States
- June 2020
- Article
Frenemies in Platform Markets: Heterogeneous Profit Foci as Drivers of Compatibility Decisions
By: Ron Adner, Jianqing Chen and Feng Zhu
We study compatibility decisions of two competing platform owners that generate profits through both hardware sales and royalties from content sales. We consider a game-theoretic model in which two platforms offer different standalone utilities to users. We find that... View Details
Keywords: Compatibility; Platform Competition; Profit Foci; Digital Platforms; Competition; Profit; Decision Making
Adner, Ron, Jianqing Chen, and Feng Zhu. "Frenemies in Platform Markets: Heterogeneous Profit Foci as Drivers of Compatibility Decisions." Management Science 66, no. 6 (June 2020): 2432–2451.
- March 2002 (Revised July 2004)
- Case
RWE and the Proposal for a German Electricity Regulator
In April 2001, Dietmar Kuhnt, CEO of the German energy giant RWE, had to make a decision that would affect his company's future. Profits in the electricity sector depended heavily on regulatory rules that influenced industry structure and pricing. RWE had emerged... View Details
Dyck, Alexander, Jose Gomez-Ibanez, and Christoph Meier. "RWE and the Proposal for a German Electricity Regulator." Harvard Business School Case 702-053, March 2002. (Revised July 2004.)
- October 2001 (Revised April 2002)
- Case
America Online, Inc.: Disclosure Strategy
By: Amy P. Hutton and David Lane
Since going public, AOL had disclosed on a quarterly basis supplemental metrics meant to give analysts and investors a way of tracking growth in its subscriber base and the value created through its marketing efforts. These metrics gave management's conversations with... View Details
Keywords: Business Model; Internet and the Web; Change Management; Internet and the Web; Corporate Disclosure; Media; Digital Marketing; Information Technology Industry; Media and Broadcasting Industry
Hutton, Amy P., and David Lane. "America Online, Inc.: Disclosure Strategy." Harvard Business School Case 102-004, October 2001. (Revised April 2002.)
Reconsidering Culture and Poverty
Culture has returned to the poverty research agenda. Over the past decade, sociologists, demographers, and even economists have begun asking questions about the role of culture in many aspects of poverty, at times even explaining the behavior of low-income... View Details
- Web
Faculty & Research
outcomes for children. As a result, treatment lowers relative educational mobility. Artificial Intelligence Chatbots and Mental Health: Insights into the Safety of Generative AI By: Julian De Freitas , Ahmet Kaan Uğuralp, Zeliha Uğuralp... View Details
- Research Summary
Current Research
I am interested in research on various topics in retail operations and supply chain management, including inventory management, product variety, distribution logistics, financial performance of retailers, and linking operational performance to... View Details
- October 2024
- Article
Canary Categories
By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that... View Details
Keywords: Churn; Churn Management; Churn/retention; Assortment Planning; Retail; Retailing; Retailing Industry; Preference Heterogeneity; Assortment Optimization; Customers; Retention; Consumer Behavior; Forecasting and Prediction; Retail Industry
Anderson, Eric, Chaoqun Chen, Ayelet Israeli, and Duncan Simester. "Canary Categories." Journal of Marketing Research (JMR) 61, no. 5 (October 2024): 872–890.
- 2021
- Article
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
By: Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott and Daniel L.K. Yamins
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time... View Details
Keywords: Artificial Intelligence; Platform; Interactive Physical Simulation; Virtual Environment; Multi-modal; AI and Machine Learning
Gan, Chuang, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott, and Daniel L.K. Yamins. "ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 35th (2021).
- Article
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details
Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing; Applications and Software
Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Marketing Letters 31, no. 4 (December 2020): 393–404.
- 2014
- Working Paper
Cleaning House: The Impact of Information Technology on Employee Corruption and Performance
By: Lamar Pierce, Daniel Snow and Andrew McAfee
This paper examines how firm investments in technology-based employee monitoring impact both misconduct and productivity. We use unique and detailed theft and sales data from 392 restaurant locations from five firms that adopt a theft monitoring information technology... View Details
Keywords: Management Practices and Processes; Information Technology; Ethics; Performance Productivity; Employees
Pierce, Lamar, Daniel Snow, and Andrew McAfee. "Cleaning House: The Impact of Information Technology on Employee Corruption and Performance." MIT Sloan Research Paper, No. 5029-13, October 2014.
Frenemies in Platform Markets: Heterogeneous Profit Foci as Drivers of Compatibility Decisions
We study compatibility decisions of two competing platform owners that generate profits through both hardware sales and royalties from content sales. We consider a game-theoretic model in which two platforms offer different standalone utilities to users. We find that... View Details
- 23 Dec 2014
- First Look
First Look: December 23
Publications December 2014 Journal of Political Economy Transition to Clean Technology By: Acemoglu, Daron, Ufuk Akcigit, Douglas Hanley, and William R. Kerr Abstract—We develop a microeconomic model of endogenous growth where clean and... View Details
Keywords: Carmen Nobel
- 31 Mar 2014
- Research & Ideas
Encouraging Niche Content in an Ad-Driven World
be displayed. Making Niche Profitable Zhu's interest in how different revenue models affect content, consumers, and companies generates a number of interesting "what ifs." For example, what if a... View Details
- 08 Dec 2016
- HBS Seminar
Joel Waldfogel, University of Minnesota, Carlson School of Management
- Research Summary
My research draws upon social and cultural theories to address three important topics in marketing: branding strategy, organizing to deliver creative content, and cultural consumer behavior:
1)Branding Strategy: How are iconic brands built?
I have... View Details
- 29 Jan 2009
- Working Paper Summaries
An Exploration of the Japanese Slowdown during the 1990s
Keywords: by Diego A. Comin
- 03 Oct 2018
- HBS Seminar