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- Faculty Publications (94)
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- All HBS Web (290)
- Faculty Publications (94)
Veil-of-Ignorance Reasoning Favors the Greater Good
The “veil of ignorance” is a moral reasoning device designed to promote impartial decision-making by denying decision-makers access to potentially biasing information about who will benefit most or least from the available options. Veil-of-ignorance reasoning was... View Details
- 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.)
- 24 Aug 2016
- Research & Ideas
Behavioral Economists Can Make You a Healthier Consumer and Smarter Marketer
Click Here If people made purely rational decisions, life might be much easier for marketers in selling products and services. But few of us are that rational. Instead, our decisions are based on illogical View Details
Keywords: by Amelia Kunhardt
- Teaching Interest
Executive Education: Finance for Senior Executives
By: Malcolm P. Baker
Finance for Senior Executives provides the frameworks to strategically use financial resources and position your company for future success. By examining corporate finance from both internal and external perspectives, this HBS Executive Education
- August 2020 (Revised December 2020)
- Background Note
A Note on Ethical Analysis
By: Nien-hê Hsieh
To engage in ethical analysis is to answer such questions as “What is the right thing to do?” “What does it mean to be a good person?” “How should I live my life?” Ethical analysis, on its own, is often not adequate for doing the right thing or being a good... View Details
Hsieh, Nien-hê. "A Note on Ethical Analysis." Harvard Business School Background Note 321-038, August 2020. (Revised December 2020.)
- Article
Default Neglect in Attempts at Social Influence
By: Julian Zlatev, David P. Daniels, Hajin Kim and Margaret A. Neale
Current theories suggest that people understand how to exploit common biases to influence others. However, these predictions have received little empirical attention. We consider a widely studied bias with special policy relevance: the default effect, which is the... View Details
Zlatev, Julian, David P. Daniels, Hajin Kim, and Margaret A. Neale. "Default Neglect in Attempts at Social Influence." Proceedings of the National Academy of Sciences 114, no. 52 (December 26, 2017).
- 10 Nov 2015
- First Look
November 10, 2015
of research, the authors have concluded that four biases stand in the way: we focus too heavily on success, are too quick to act, try too hard to fit in, and rely too much on experts. Each of these biases... View Details
Keywords: Sean Silverthorne
- Article
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
By: Kaivalya Rawal and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affected individuals. While developing such tools is important, it is even more critical to... View Details
Rawal, Kaivalya, and Himabindu Lakkaraju. "Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
- Forthcoming
- Article
Reflexivity in Credit Markets
By: Robin Greenwood, Samuel G. Hanson and Lawrence J. Jin
Reflexivity is the idea that investors' biased beliefs affect market outcomes and that market outcomes in turn affect investors’ future biases. We develop a dynamic behavioral model of the credit cycle featuring this two-way feedback loop. Investors form beliefs about... View Details
Greenwood, Robin, Samuel G. Hanson, and Lawrence J. Jin. "Reflexivity in Credit Markets." Journal of Finance (forthcoming).
- Forthcoming
- Article
Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs
By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Organization Science (forthcoming). (Pre-published online May 31, 2023.)
- 2023
- Working Paper
Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs
By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
Keywords: STEM; Selection and Staffing; Gender; Prejudice and Bias; Training; Equality and Inequality; Competency and Skills
Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Harvard Business School Working Paper, No. 23-066, April 2023. (Accepted by Organization Science.)
- October 2013
- Article
How Much to Make and How Much to Buy? An Analysis of Optimal Plural Sourcing Strategies
By: Phanish Puranam, Ranjay Gulati and Sourav Bhattacharya
While many theories of the firm seek to explain when firms make rather than buy, in practice, firms often make and buy the same input—they engage in plural sourcing. We argue that explaining the mix of external procurement and internal sourcing for the same input... View Details
Keywords: Supply Chain; Forecasting and Prediction; Framework; Prejudice and Bias; Mathematical Methods
Puranam, Phanish, Ranjay Gulati, and Sourav Bhattacharya. "How Much to Make and How Much to Buy? An Analysis of Optimal Plural Sourcing Strategies." Strategic Management Journal 34, no. 10 (October 2013): 1145–1161.
- 20 Apr 2011
- Research & Ideas
Blind Spots: We’re Not as Ethical as We Think
Think back to recent events when people making unethical decisions grabbed the headlines. How did auditors approve the books of Enron and Lehman Brothers? How did feeder funds sell Bernard Madoff's invesments? We would never act as they... View Details
Keywords: by Sean Silverthorne
- June 2020
- Article
How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections
By: Maria Ibanez and Michael W. Toffel
Accuracy and consistency are critical for inspections to be an effective, fair, and useful tool for assessing risks, quality, and suppliers—and for making decisions based on those assessments. We examine how inspector schedules could introduce bias that erodes... View Details
Keywords: Assessment; Bias; Inspection; Scheduling; Econometric Analysis; Empirical Research; Regulation; Health; Food; Safety; Quality; Performance Consistency; Governing Rules, Regulations, and Reforms
Ibanez, Maria, and Michael W. Toffel. "How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections." Management Science 66, no. 6 (June 2020): 2396–2416. (Revised February 2019. Featured in Harvard Business Review, Forbes, Food Safety Magazine, Food Safety News, and KelloggInsight. (2020 MSOM Responsible Research Finalist.))
- 24 Oct 2006
- First Look
First Look: October 24, 2006
Working PapersManaging Functional Biases in Organizational Forecasts: A Case Study of Consensus Forecasting in Supply Chain Planning Authors:Rogelio Oliva and Noel Watson Abstract To date, little research has been done on managing the... View Details
Keywords: Sean Silverthorne
- 05 Jun 2012
- First Look
First Look: June 5
systematically biased toward higher yield, higher CDS bonds. This behavior appears to be related to the business cycle, being most pronounced during economic expansions. It is also more pronounced for the insurance firms for which... View Details
Keywords: Sean Silverthorne
- October 2021
- Article
Changing Gambling Behavior through Experiential Learning
By: Shawn A. Cole, Martin Abel and Bilal Zia
This paper tests experiential learning as a debiasing tool to reduce gambling in South Africa, through a randomized field experiment. The study implements a simple, interactive game that simulates the odds of winning the national lottery through dice rolling.... View Details
Keywords: Debiasing; Experiential Learning; Behavioral Economics; Financial Education; Learning; Games, Gaming, and Gambling; Behavior; Decision Making
Cole, Shawn A., Martin Abel, and Bilal Zia. "Changing Gambling Behavior through Experiential Learning." World Bank Economic Review 35, no. 3 (October 2021): 745–763.
- 07 Feb 2005
- What Do You Think?
If You Blink, Will You Miss?
individuals' biases often get in the way of good decision making. In part, it's a reflection of what we often term "analysis paralysis" in MBA-speak. A distant cousin to thin slicing in our... View Details
Keywords: by James Heskett
- 06 Jun 2007
- Research & Ideas
Behavioral Finance—Benefiting from Irrational Investors
Individuals, of course, should examine their own biases and attempt to improve their investment decisions. But this is easier said than done. Much of this so-called irrational behavior is adaptive. Baker notes that our View Details
Keywords: by Julia Hanna
- 17 Feb 2016
- Research & Ideas
Man vs. Machine: Which Makes Better Hires?
who has studied how companies make organizational decisions in industries such as health care and education. “They are figuring out how to use the information of managers and combine it with this new technology.” Testing the testers To... View Details