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(2,884)
- News (476)
- Research (2,210)
- Events (43)
- Multimedia (14)
- Faculty Publications (1,424)
Show Results For
- All HBS Web
(2,884)
- News (476)
- Research (2,210)
- Events (43)
- Multimedia (14)
- Faculty Publications (1,424)
- July 2023
- Case
Crocs: Using Community-Centric Marketing to Make Ugly Iconic
By: Ayelet Israeli and Anne V. Wilson
In 2022, the Crocs Classic Clog was the best-selling item of clothing on Amazon, the brand was one of the fastest growing brands in the U.S., and global net revenue had increased to approximately $3.6 billion. By most accounts, Crocs had become the “it” shoe. Crocs... View Details
Keywords: Brands and Branding; Product Development; Growth and Development; Customer Value and Value Chain; Digital Marketing; Digital Strategy; Segmentation; Advertising; Consumer Products Industry; Apparel and Accessories Industry; United States
Israeli, Ayelet, and Anne V. Wilson. "Crocs: Using Community-Centric Marketing to Make Ugly Iconic." Harvard Business School Case 524-006, July 2023.
- June 2012
- Article
Decoding Inside Information
By: Lauren Cohen, Christopher Malloy and Lukasz Pomorski
Using a simple empirical strategy, we decode the information in insider trading. Exploiting the fact that insiders trade for a variety of reasons, we show that there is predictable, identifiable "routine" insider trading that is not informative for the future of firms.... View Details
Keywords: Strategy; Financial Markets; Forecasting and Prediction; Law Enforcement; Opportunities; Geographic Location; Business Earnings
Cohen, Lauren, Christopher Malloy, and Lukasz Pomorski. "Decoding Inside Information." Journal of Finance 67, no. 3 (June 2012): 1009–1043. (Winner of Chicago Quantitative Alliance Academic Paper Competition. First Prize presented by Chicago Quantitative Alliance. Winner of Institute for Quantitative Investment Research (INQUIRE) Grant presented by Institute for Quantitative Investment Research.)
- June 2025
- Article
Gender Diversity Performance and Voluntary Disclosure: Mind the (Gender Pay) Gap
By: June Huang and Shirley Lu
We study whether voluntary gender diversity disclosure is predictive of gender diversity performance. Exploiting a mandate in the United Kingdom that requires firms to disclose 2017 gender pay gap ("GPG") data for the first time, we find that providing voluntary gender... View Details
Huang, June, and Shirley Lu. "Gender Diversity Performance and Voluntary Disclosure: Mind the (Gender Pay) Gap." Accounting, Organizations and Society 114 (June 2025).
- May 2025
- Article
Imagining the Future: Memory, Simulation and Beliefs
By: Pedro Bordalo, Giovanni Burro, Katherine B. Coffman, Nicola Gennaioli and Andrei Shleifer
How do people form beliefs about novel risks, with which they have little or no experience? Motivated by survey data on beliefs about Covid we collected in 2020, we build a model based on the psychology of selective memory. When a person thinks about an event,... View Details
Bordalo, Pedro, Giovanni Burro, Katherine B. Coffman, Nicola Gennaioli, and Andrei Shleifer. "Imagining the Future: Memory, Simulation and Beliefs." Review of Economic Studies 92, no. 3 (May 2025): 1532–1563.
- 2021
- Working Paper
Time Dependency, Data Flow, and Competitive Advantage
Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government... View Details
Keywords: Economics Of AI; Value Of Data; Perishability; Time Dependency; Flow Of Data; Data Strategy; Analytics and Data Science; Value; Strategy; Competitive Advantage
Valavi, Ehsan, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, and Karim R. Lakhani. "Time Dependency, Data Flow, and Competitive Advantage." Harvard Business School Working Paper, No. 21-099, March 2021.
- February 2020
- Article
Being 'Good' or 'Good Enough': Prosocial Risk and the Structure of Moral Self-regard
By: Julian Zlatev, Daniella M. Kupor, Kristin Laurin and Dale T. Miller
The motivation to feel moral powerfully guides people’s prosocial behavior. We propose that people’s efforts to preserve their moral self-regard conform to a moral threshold model. This model predicts that people are primarily concerned with whether their... View Details
Keywords: Prosocial Behavior; Moral Sensibility; Decision Making; Risk and Uncertainty; Behavior; Perception
Zlatev, Julian, Daniella M. Kupor, Kristin Laurin, and Dale T. Miller. "Being 'Good' or 'Good Enough': Prosocial Risk and the Structure of Moral Self-regard." Journal of Personality and Social Psychology 118, no. 2 (February 2020): 242–253.
Eliminating unintended bias in personalized policies using Bias Eliminating Adapted Trees (BEAT) - PNAS
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those... View Details
- 17 Oct 2019
- News
How Artificial Intelligence Is Changing Health Care Delivery
- Summer 2021
- Article
Platform Leadership and Supply Chains: Intel, Centrino, and the Restructuring of Wi-Fi Supply
By: Roberto Fontana and Shane Greenstein
In this paper we examine Intel’s launch of Centrino and interpret it as platform leaders attempt to restructure a supply chain. We provide a narrative of key actions and how they coordinated changes and offer a framework of the predictable consequences for... View Details
Fontana, Roberto, and Shane Greenstein. "Platform Leadership and Supply Chains: Intel, Centrino, and the Restructuring of Wi-Fi Supply." Journal of Economics & Management Strategy 30, no. 2 (Summer 2021): 259–286.
- 06 Sep 2007
- Working Paper Summaries
Why We Aren’t as Ethical as We Think We Are: A Temporal Explanation
- 2012
- Working Paper
The Dark Side of the Vote: Biased Voters, Social Information, and Information Aggregation Through Majority Voting
We experimentally investigate information aggregation through majority voting when some voters are biased. In such situations, majority voting can have a "dark side", i.e. result in groups making choices inferior to those made by individuals acting alone. We develop a... View Details
Morton, Rebecca B., Marco Piovesan, and Jean-Robert Tyran. "The Dark Side of the Vote: Biased Voters, Social Information, and Information Aggregation Through Majority Voting." Harvard Business School Working Paper, No. 13-017, August 2012.
- 2024
- Working Paper
Migration, Climate Similarity, and the Consequences of Climate Mismatch
By: Marguerite Obolensky, Marco Tabellini and Charles Taylor
This paper examines the concept of “climate matching” in migration—the idea that migrants seek out destinations with familiar climates. Focusing on the US, we document that temperature distance between origin and destination predicts the distribution of migrants across... View Details
Keywords: Migration; Climate; Immigration; Residency; Weather; Ethnicity; Climate Change; Geographic Location; Policy; United States
Obolensky, Marguerite, Marco Tabellini, and Charles Taylor. "Migration, Climate Similarity, and the Consequences of Climate Mismatch." Harvard Business School Working Paper, No. 24-031, November 2023. (Revised November 2024. Also available from VoxEU, e-axes, and HBS Working Knowledge.)
- 23 Apr 2021
- News
How Hubert Joly Changed Best Buy Without Everyone Hating Him
- July – August 2011
- Article
The Paradox of Samsung's Rise
By: Tarun Khanna, Jaeyong Song and Kyungmook Lee
Twenty years ago, few people would have predicted that Samsung could transform itself from a low-cost original equipment manufacturer to a world leader in R&D, marketing, and design, with a brand more valuable than Pepsi, Nike, or American Express. Fewer still would... View Details
Keywords: Organizational Design; Research and Development; Marketing; Business Processes; Brands and Branding; System; Globalized Markets and Industries; Transformation; Cost; Forecasting and Prediction; Production; Quality; China; India; Turkey
Khanna, Tarun, Jaeyong Song, and Kyungmook Lee. "The Paradox of Samsung's Rise." Harvard Business Review 89, nos. 7-8 (July–August 2011): 142–147.
- Article
Big Other: Surveillance Capitalism and the Prospects of an Information Civilization
By: Shoshana Zuboff
This article describes an emergent logic of accumulation in the networked sphere, 'surveillance capitalism,' and considers its implications for 'information civilization.' The institutionalizing practices and operational assumptions of Google Inc. are the... View Details
Keywords: Surveillance Capitalism; Big Data; Google; Information Society; Privacy; Internet Of Everything; Rights; Economic Systems; Analytics and Data Science; Internet and the Web; Ethics
Zuboff, Shoshana. "Big Other: Surveillance Capitalism and the Prospects of an Information Civilization." Journal of Information Technology 30, no. 1 (March 2015): 75–89.
- 29 Aug 2011
- Research & Ideas
Decoding Insider Information and Other Secrets of Old School Chums
together. What's more, knowing whether two congressional members went to the same college can help predict the outcome of pending legislation on the Senate floor. “And so we got to thinking, if a school connection makes information flow... View Details
- April 2015
- Case
Carolinas HealthCare System: Consumer Analytics
By: John A. Quelch and Margaret L. Rodriguez
In 2014, Dr. Michael Dulin, chief clinical officer for analytics and outcomes research and head of the Dickson Advanced Analytics (DA2) group at Carolinas HealthCare System (CHS), successfully unified all analytics talent and resources into one group over a three year... View Details
Keywords: Consumer Segmentation; Big Data; Management Information Systems; Hospital Management; Health Care and Treatment; Marketing; Segmentation; Analytics and Data Science; Information Management; Information Technology; Health; Health Industry; United States
Quelch, John A., and Margaret L. Rodriguez. "Carolinas HealthCare System: Consumer Analytics." Harvard Business School Case 515-060, April 2015.
Disagreement after News: Gradual Information Diffusion or Differences of Opinion?
This paper explores the long-standing empirical fact of increased trading volume around news releases through the lens of canonical models of gradual information diffusion and differences of opinion. I use a unique dataset of clicks on news by key finance... View Details