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Show Results For
- All HBS Web
(593)
- People (1)
- News (90)
- Research (409)
- Events (5)
- Multimedia (1)
- Faculty Publications (212)
- 2014
- Other Unpublished Work
Nudging Physicians to Pursue Careers in Underserved Areas: A Case for Behavioral Economics
By: Joseph Lopez, Mona Singh, Nava Ashraf and Joel Weissman
Currently, more than 60 million Americans live in "Health Professional Shortage Areas." Unless policymakers can encourage more physicians to practice in medically under-resourced areas, an increased number of uninsured individuals newly able to obtain health insurance... View Details
- 11 Jun 2013
- Working Paper Summaries
Measurement Errors of Expected Returns Proxies and the Implied Cost of Capital
Keywords: by Charles C.Y. Wang
- January 2011 (Revised March 2011)
- Case
Development and Promotion at North Atlantic Hospital
By: Boris Groysberg, Lisa Leffert, Kerry Herman and Libby Williams
Dr. Elizabeth Harris, Chair of the Department of Anesthesiology (DA) at North Atlantic Hospital (NAH), faces several significant challenges. Staff satisfaction surveys confirmed her assessment that department faculty morale was low, the tenure and promotion system was... View Details
Keywords: Training; Employees; Retention; Performance Evaluation; Personal Development and Career; Motivation and Incentives; Health Industry
Groysberg, Boris, Lisa Leffert, Kerry Herman, and Libby Williams. "Development and Promotion at North Atlantic Hospital." Harvard Business School Case 411-018, January 2011. (Revised March 2011.)
- March 2024
- Case
Unintended Consequences of Algorithmic Personalization
By: Eva Ascarza and Ayelet Israeli
“Unintended Consequences of Algorithmic Personalization” (HBS No. 524-052) investigates algorithmic bias in marketing through four case studies featuring Apple, Uber, Facebook, and Amazon. Each study presents scenarios where these companies faced public criticism for... View Details
Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Customization and Personalization; Technology Industry; Retail Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Unintended Consequences of Algorithmic Personalization." Harvard Business School Case 524-052, March 2024.
- 2015
- Working Paper
Measurement Errors of Expected-Return Proxies and the Implied Cost of Capital
Despite their popularity as proxies of expected returns, the implied cost of capital's (ICC) measurement error properties are relatively unknown. Through an in-depth analysis of a popular implementation of ICCs by Gebhardt, Lee, and Swaminathan (2001) (GLS), I show... View Details
Wang, Charles C.Y. "Measurement Errors of Expected-Return Proxies and the Implied Cost of Capital." Harvard Business School Working Paper, No. 13-098, May 2013. (Revised February 2015.)
- May 2022 (Revised June 2024)
- Case
LOOP: Driving Change in Auto Insurance Pricing
By: Elie Ofek and Alicia Dadlani
John Henry and Carey Anne Nadeau, co-founders and co-CEOs of LOOP, an insurtech startup based in Austin, Texas, were on a mission to modernize the archaic $250 billion automobile insurance market. They sought to create equitably priced insurance by eliminating pricing... View Details
Keywords: AI and Machine Learning; Technological Innovation; Equality and Inequality; Prejudice and Bias; Growth and Development Strategy; Customer Relationship Management; Price; Insurance Industry; Financial Services Industry
Ofek, Elie, and Alicia Dadlani. "LOOP: Driving Change in Auto Insurance Pricing." Harvard Business School Case 522-073, May 2022. (Revised June 2024.)
- Article
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
Neel, Seth, and Aaron Leon Roth. "Mitigating Bias in Adaptive Data Gathering via Differential Privacy." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- 2011
- Working Paper
When Smaller Menus Are Better: Variability in Menu-Setting Ability
Are large menus better than small menus? Recent literature argues that individuals' apparent preference for smaller menus can be explained by choosers' behavioral biases or informational limitations. These explanations imply that absent behavioral or informational... View Details
Keywords: Experience and Expertise; Decision Choices and Conditions; Investment; Investment Portfolio; Size; Quality
Goldreich, David, and Hanna Halaburda. "When Smaller Menus Are Better: Variability in Menu-Setting Ability." Harvard Business School Working Paper, No. 11-086, February 2011. (Revised April 2011, August 2011, December 2011.)
- Article
Your Visual System Provides All the Information You Need to Make Moral Judgments about Generic Visual Events
By: Julian De Freitas and George A. Alvarez
To what extent are people's moral judgments susceptible to subtle factors of which they are unaware? Here we show that we can change people’s moral judgments outside of their awareness by subtly biasing perceived causality. Specifically, we used subtle visual... View Details
De Freitas, Julian, and George A. Alvarez. "Your Visual System Provides All the Information You Need to Make Moral Judgments about Generic Visual Events." Cognition 178 (September 2018): 133–146.
Reaching for Yield in the Bond Market
Reaching-for-yield — the propensity to buy riskier assets in order to achieve higher yields — is believed to be an important factor contributing to the credit cycle. This paper analyses this phenomenon in the corporate bond market. Specifically, we show evidence for... View Details
- 2021
- Chapter
Renewing the Relevance of IB: Can Some History Help?
By: Geoffrey Jones
International business (IB) as a discipline has given limited attention to contemporary grand challenges of inequality, global warming, aging populations, endemic health crises, and de-globalization, in all of which multinationals are either central to the problem or... View Details
Jones, Geoffrey. "Renewing the Relevance of IB: Can Some History Help?" Chap. 6 in The Multiple Dimensions of Institutional Complexity in International Business Research. Vol. 15, edited by Alain Verbeke, Rob van Tulder, Elizabeth L. Rose, and Yingqi Wei, 77–92. Progress in International Business Research. Bingley, United Kingdom: Emerald Publishing Limited, 2021.
- Research Summary
Selective Attention and Learning
What do we notice, and how does this affect what we learn? Standard economic models of learning ignore memory by assuming that we remember everything. But there is growing recognition that memory is imperfect. Further, memory imperfections do not stem from limited... View Details
"Selective Attention and Learning"
What do we notice and how does this affect what we learn and come to believe? I present a model of an agent who learns to make forecasts on the basis of readily available information, but is selective as to which information he attends to: he chooses whether to... View Details
- 07 Nov 2023
- Research & Ideas
When Glasses Land the Gig: Employers Still Choose Workers Who 'Look the Part'
world, where we don’t usually share our pictures when we apply for a job.” However, employers on such platforms may not be particularly well-served by these hunches, which are often rooted in biases and stereotypes. In fact, having the... View Details
Keywords: by Scott Van Voorhis
- 12 Jul 2007
- Working Paper Summaries
Toward a Theory of Behavioral Operations
Keywords: by Francesca Gino & Gary Pisano
- July 2024
- Article
Acceptance of Automated Vehicles Is Lower for Self than Others
By: Stuti Agarwal, Julian De Freitas, Anya Ragnhildstveit and Carey K. Morewedge
Road traffic accidents are the leading cause of death worldwide for people aged 2–59. Nearly all deaths are due to human error. Automated vehicles could reduce mortality risks, traffic congestion, and air pollution of human-driven vehicles. However, their adoption... View Details
Agarwal, Stuti, Julian De Freitas, Anya Ragnhildstveit, and Carey K. Morewedge. "Acceptance of Automated Vehicles Is Lower for Self than Others." Journal of the Association for Consumer Research 9, no. 3 (July 2024): 269–281.
- 2017
- Article
Refugees Misdirected: How Information, Misinformation and Rumors Shape Refugees’ Access to Fundamental Rights
By: Melissa Carlson, Laura Jakli and Katerina Linos
The global refugee regime represents one of the few generous commitments governments offer to outsiders. Indeed, few persons fleeing armed conflict actually claim international protection upon first arriving in Europe, even though the benefits of legal protection are... View Details
Carlson, Melissa, Laura Jakli, and Katerina Linos. "Refugees Misdirected: How Information, Misinformation and Rumors Shape Refugees’ Access to Fundamental Rights." Virginia Journal of International Law 57, no. 3 (2017): 539–574.
- Article
Fighting Bias on the Front Lines
By: Alexandra C. Feldberg and Tami Kim
Most companies aim for exceptional customer service, but too few are attentive to the subtle discrimination by frontline employees that can alienate customers, lead to lawsuits, or even cause lasting brand damage by going viral.
This article presents research... View Details
This article presents research... View Details
Keywords: Customer Service; Customer Focus and Relationships; Service Delivery; Diversity; Prejudice and Bias; Organizational Change and Adaptation
Feldberg, Alexandra C., and Tami Kim. "Fighting Bias on the Front Lines." Harvard Business Review 99, no. 6 (November–December 2021): 90–98.
- 2010
- Article
The Ethical Mirage: A Temporal Explanation as to Why We Are Not as Ethical as We Think We Are
By: A. E. Tenbrunsel, K. Diekmann, K A. Wade-Benzoni and Max Bazerman
This paper explores the biased perceptions that people hold of their own ethicality. We argue that the temporal trichotomy of prediction, action and recollection is central to these misperceptions: People predict that they will behave more ethically than they actually... View Details
Keywords: Forecasting and Prediction; Values and Beliefs; Framework; Research; Behavior; Cognition and Thinking; Perception; Prejudice and Bias
Tenbrunsel, A. E., K. Diekmann, K A. Wade-Benzoni, and Max Bazerman. "The Ethical Mirage: A Temporal Explanation as to Why We Are Not as Ethical as We Think We Are." Research in Organizational Behavior 30 (2010): 153–173.
How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework
This paper evaluates the short- and long-term value of sales representatives’ detailing visits to different types of physicians. By understanding the dynamic effect of sales calls across heterogeneous physicians, we provide guidance on the design of optimal call... View Details