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(1,261)
- People (3)
- News (204)
- Research (734)
- Events (4)
- Multimedia (9)
- Faculty Publications (462)
Show Results For
- All HBS Web
(1,261)
- People (3)
- News (204)
- Research (734)
- Events (4)
- Multimedia (9)
- Faculty Publications (462)
- March–April 2017
- Article
Advancing Conservation by Understanding and Influencing Human Behavior
By: Sheila M. Reddy, Jensen Montambault, Yuta J. Masuda, Ayelet Gneezy, Elizabeth Keenan, William Butler, Jonathan R. Fisher and Stanley T. Asah
Behavioral sciences can advance conservation by systematically identifying behavioral barriers to conservation and how to best overcome them. Behavioral sciences have informed policy in many other realms (e.g., health, savings), but they are a largely untapped resource... View Details
Keywords: Adaptive Management; Awareness; Behavioral Economics; Behavioral Science; Conservation Intervention; Conservation Planning; Decision-making; Incentives; Nudge; Management; Motivation and Incentives; Behavior; Marketing; Decision Making; Environmental Sustainability; Economics
Reddy, Sheila M., Jensen Montambault, Yuta J. Masuda, Ayelet Gneezy, Elizabeth Keenan, William Butler, Jonathan R. Fisher, and Stanley T. Asah. "Advancing Conservation by Understanding and Influencing Human Behavior." Conservation Letters 10, no. 2 (March–April 2017): 248–256. (doi:10.1111/conl.12252.)
- 2020
- Working Paper
Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion
By: Ryan Allen and Prithwiraj Choudhury
Past research offers mixed perspectives on whether domain experience helps or hurts algorithm-augmented work performance. To reconcile these perspectives, we theorize that domain experience affects algorithm-augmented performance via two distinct countervailing... View Details
Keywords: Automation; Domain Experience; Algorithmic Aversion; Experts; Algorithms; Machine Learning; Decision-making; Future Of Work; Employees; Experience and Expertise; Decision Making; Performance
Allen, Ryan, and Prithwiraj Choudhury. "Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion." Harvard Business School Working Paper, No. 21-073, October 2020. (Revised September 2021.)
- February 2021
- Case
The Tulsa Massacre and the Call for Reparations
By: Mihir Desai, Ruth Page, Suzanne Antoniou and Leanne Fan
How should historic social injustices be addressed? Survivors of the 1921 Tulsa Massacre and their descendants, including Representative Regina Goodwin of Tulsa, believe they should be addressed through reparations and have consequently continued to push the government... View Details
Keywords: Costs And Consequences; Decisions; Judgment And Decision-making; Lawsuit; Leading Change; Conflict Resolution; Perspective Taking; Prejudice; Bias; Reparations; Decision Making; Decision Choices and Conditions; Cost vs Benefits; Judgments; Race; Ethics; Fairness; Moral Sensibility; Values and Beliefs; Conflict Management; Governance; Corporate Accountability; Corporate Governance; Governing Rules, Regulations, and Reforms; Policy; Government and Politics; Government Legislation; History; Lawsuits and Litigation; Legal Liability; Mission and Purpose; Corporate Social Responsibility and Impact; Motivation and Incentives; Civil Society or Community; Social Issues; Oklahoma; Tulsa; United States
Desai, Mihir, Ruth Page, Suzanne Antoniou, and Leanne Fan. "The Tulsa Massacre and the Call for Reparations." Harvard Business School Multimedia/Video Case 221-707, February 2021.
- October 2021 (Revised June 2022)
- Case
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; AI; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Case 522-046, October 2021. (Revised June 2022.)
- November 2021 (Revised December 2021)
- Supplement
PittaRosso (B): Human and Machine Learning
By: Ayelet Israeli
This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case. View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
Israeli, Ayelet. "PittaRosso (B): Human and Machine Learning." Harvard Business School Supplement 522-047, November 2021. (Revised December 2021.)
- October 2021 (Revised March 2022)
- Supplement
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli and Fabrizio Fantini
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; Retail Industry; Italy
- 2017
- Working Paper
The 4 Minds of the Customer: A Framework for Understanding and Applying the Science of Decision Making
By: Ryan Hamilton and Uma R. Karmarkar
Scientists have spent decades creating powerful and detailed descriptions of how people make decisions. Unfortunately, many of these theories make contradictory predictions and are difficult to understand and implement. We introduce the 4 Minds framework as a practical... View Details
Keywords: Consumer Choice; Market Research; Decision Making Process; Decision; Marketing Research; Consumer Behavior; Decision Choices and Conditions; Marketing; Decision Making; Segmentation; Research
Hamilton, Ryan, and Uma R. Karmarkar. "The 4 Minds of the Customer: A Framework for Understanding and Applying the Science of Decision Making." Marketing Science Institute Report, No. 17-109, May 2017.
- 05 Dec 2023
- Research & Ideas
Lessons in Decision-Making: Confident People Aren't Always Correct (Except When They Are)
Sometimes, the loudest, most confident voice in the room might indeed be the best decision-maker. Other times, the person who understands that they don’t know the answer—and therefore holds back in a discussion—may be wiser. Whether groups and organizations reach good... View Details
Keywords: by Kara Baskin
- September 2022 (Revised November 2022)
- Teaching Note
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
Teaching Note for HBS Case No. 522-046. View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
- 2016
- Other Teaching and Training Material
Organizational Behavior Reading: Decision Making
By: Francesca Gino, Max Bazerman and Katherine Shonk
This Reading argues that decision making is systematically flawed and introduces methods to improve decision-making effectiveness. The Essential Reading section covers the rational decision-making model and three important ideas that challenge it: Herbert Simon's... View Details
Gino, Francesca, Max Bazerman, and Katherine Shonk. "Organizational Behavior Reading: Decision Making." Core Curriculum Readings Series. Boston, MA: Harvard Business Publishing 8383, 2016. Electronic.
- 04 Sep 2001
- Research & Ideas
Is Government Just Stupid? How Bad Decisions Are Made
regulation of their industry. Their rash behavior will deprive future generations of entire species of nutritious fish. Long-term thinking about intergenerational issues is lacking in this and many other public decision-making arenas.... View Details
- Mar 30 2023
- Testimonial
Understanding People to Grow Business
- 04 Feb 2010
- What Do You Think?
What’s the Best Way to Make Careful Decisions?
instead concentrate on ways to make our own decision-making processes more transparent to others and to ourselves. Edward Hare put it this way: "Openness and honesty are the sunlight that's needed to make decision making as effective... View Details
Keywords: by James Heskett
- 20 May 2021
- News
6 Secrets for Top Business Leaders to Handle Change and Adapt
- September 8, 2015
- Article
Making Better Decisions in Your Family Business
By: Josh Baron, Rob Lachenauer and Sebastian Ehrensberger
Family businesses face complex decisions, from CEO succession to business strategies. A "four-room" model helps structure decision-making in these businesses: Owner Room (ownership goals and board election), Board Room (performance monitoring and CEO appointment),... View Details
Keywords: Family Business; Decisions; Business Strategy; Goals and Objectives; Management Succession; Talent and Talent Management
Baron, Josh, Rob Lachenauer, and Sebastian Ehrensberger. "Making Better Decisions in Your Family Business." Harvard Business Review (website) (September 8, 2015).
- Aug 08 2019
- Brochure
Delivering Exceptional Customer Value
- June 2015
- Case
The Valuation and Financing of Lady M Confections
By: Mihir A. Desai and Elizabeth A. Meyer
This case explores the decision-making process that small, private businesses must undertake when considering an expansion and when selling equity to outside investors. In the process, students are asked to complete two exercises: a break-even analysis and a valuation... View Details
Keywords: Lady M; Bakery; Foodservice Industry; Breakeven Analysis; Restaurant Industry; Forecasting; Forecast; Financial Analysis; Borrowing and Debt; Corporate Finance; Equity; Financial Management; Financial Strategy; Finance; Food; Valuation; Food and Beverage Industry; New York (city, NY)
Desai, Mihir A., and Elizabeth A. Meyer. "The Valuation and Financing of Lady M Confections." Harvard Business School Case 215-047, June 2015.
- Jan 06 2015
- Testimonial
Expanding General Management Horizons
- Feb 17 2017
- Testimonial