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Show Results For
- All HBS Web
(8,624)
- People (24)
- News (2,314)
- Research (5,596)
- Events (19)
- Multimedia (253)
- Faculty Publications (4,103)
- 1999
- Book
Smart Money Decisions
By: M. H. Bazerman
Bazerman, M. H. Smart Money Decisions. John Wiley & Sons, 1999. (Recognized as one of the 10 Best Personal Finance and Investing Books of the Year by Amazon.com and as one of the 30 Best Business Books of the Year by Soundview Executive Book Summaries. Published in Spanish. Adaptations published in Soundview Executive Book Summaries, Personal Excellence, and Bottom Line.)
- August 1982 (Revised May 1983)
- Background Note
Capital Structure Decision
Fruhan, William E., Jr. "Capital Structure Decision." Harvard Business School Background Note 283-021, August 1982. (Revised May 1983.)
- 2023
- Working Paper
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
- June 1997 (Revised January 1999)
- Background Note
Understanding Costs for Management Decisions
By: William J. Bruns Jr.
Defines types of costs--current, sunk, opportunity, relevant, differential--and their use in management and management decision making. Contrasts single-period and multiple-period cost analysis. View Details
Bruns, William J., Jr. "Understanding Costs for Management Decisions." Harvard Business School Background Note 197-117, June 1997. (Revised January 1999.)
- 25 Nov 2009
- Working Paper Summaries
The Devil Wears Prada? Effects of Exposure to Luxury Goods on Cognition and Decision Making
- 13 Aug 2012
- Research & Ideas
When Good Incentives Lead to Bad Decisions
readily be reclaimed by investors in the firm who lost money." In a new research paper, coauthored with World Bank economists Martin Kanz and Leora Klapper, Cole explores how various performance incentives affect lending decisions... View Details
- 15 Aug 2016
- News
How to Tackle Your Toughest Decisions
- January 2014
- Other Article
The Answer is 9,142: Understanding the Influence of Disruption Risk on Inventory Decision Making
By: Mark Cotteleer, Maria Ibanez and Geri Gibbons
The question was how many units of inventory a manager should order when faced with a possible disruption in supply. The correct answer is not guesswork, but based on 150 years of theory and practice. We examine individual choices made in this critical situation—and... View Details
Cotteleer, Mark, Maria Ibanez, and Geri Gibbons. "The Answer is 9,142: Understanding the Influence of Disruption Risk on Inventory Decision Making." Deloitte Review 14 (January 2014).
- Article
Moral Traps: When Self-serving Attributions Backfire in Prosocial Behavior
By: Stephanie C. Lin, Julian Zlatev and Dale T. Miller
Two assumptions guide the current research. First, people's desire to see themselves as moral disposes them to make attributions that enhance or protect their moral self-image: When approached with a prosocial request, people are inclined to attribute their own... View Details
Keywords: Morality; Attributions; Decision Making; Prosocial Behavior; Moral Sensibility; Behavior; Perception
Lin, Stephanie C., Julian Zlatev, and Dale T. Miller. "Moral Traps: When Self-serving Attributions Backfire in Prosocial Behavior." Journal of Experimental Social Psychology 70 (May 2017): 198–203.
Escaping the Build Trap
This book is a guide to getting out of the build trap with great product management. We look at what it means to become and be a product-led organization, which involves four key components:
- View Details
- June 1983 (Revised May 1993)
- Case
Hospital Replacement Decision
Herzlinger, Regina E. "Hospital Replacement Decision." Harvard Business School Case 183-207, June 1983. (Revised May 1993.)
- 20 Jun 2018
- Working Paper Summaries
Show or Tell? Improving Agent Decision Making in a Tanzanian Mobile Money Field Experiment
- Article
Lack of Shared Decision Making in Cancer Screening Discussions: Results from a National Survey
By: Richard M. Hoffman, Joanne G. Elmore, Kathleen M. Fairfield, Bethany S. Gerstein, Carrie A. Levin and Michael P. Pignone
Hoffman, Richard M., Joanne G. Elmore, Kathleen M. Fairfield, Bethany S. Gerstein, Carrie A. Levin, and Michael P. Pignone. "Lack of Shared Decision Making in Cancer Screening Discussions: Results from a National Survey." American Journal of Preventive Medicine 47, no. 3 (September 2014): 251–259.
- January 2006
- Article
Decisions Without Blinders
By: M. Bazerman and Dolly Chugh
Keywords: Decision Making
Bazerman, M., and Dolly Chugh. "Decisions Without Blinders." Harvard Business Review 84, no. 1 (January 2006).
- 1995
- Book
Decisions under Uncertainty
By: D. E. Bell and A. Schleifer Jr.
Keywords: Decision Choices and Conditions
Bell, D. E., and A. Schleifer Jr. Decisions under Uncertainty. Cambridge, MA: Course Technology Inc. (CTI), 1995.
- April 2005 (Revised September 2005)
- Case
Pegasus Capital: The Musimundo Decision
By: Michael Chu and Barbara Zepp Larson
The five managing directors of Pegasus Capital were meeting in June 2003 to make a go/no-go decision regarding the investment of Musimundo, one of the largest entertainment retailers in Argentina. Just four days before the planned closing of the sale, Pegasus' 50%... View Details
- September 2020 (Revised June 2023)
- Exercise
Artea: Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; ＂Marketing Analytics＂; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
- 2022
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We empirically analyze how managerial overrides to a commercial algorithm that forecasts demand and schedules labor affect store performance. We analyze administrative data from a large grocery retailer that utilizes a commercial algorithm to forecast demand and... View Details
Keywords: Employees; Human Capital; Performance; Applications and Software; Management Skills; Management Practices and Processes; Retail Industry
Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, December 2022. (R&R Management Science.)