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- All HBS Web (761)
- Faculty Publications (152)
Show Results For
- All HBS Web (761)
- Faculty Publications (152)
- 2008
- Book
Managing Your Boss
By: John J. Gabarro and John P. Kotter
Managing your boss: Isn't that merely manipulation? Corporate cozying up? Not according to John Gabarro and John Kotter. In this handy guidebook, the authors contend that you manage your boss for a very good reason: to do your best on the job—and thereby benefit not... View Details
Keywords: Communication; Decision Making; Information Management; Managerial Roles; Negotiation Tactics; Performance Productivity; Personal Development and Career; Relationships; Personal Characteristics
Gabarro, John J., and John P. Kotter. Managing Your Boss. Paperback ed. Harvard Business Review Classics. Harvard Business School Press, 2008.
- November 2009
- Article
Neural Mechanisms of Social Influence
By: Malia Mason, Rebecca Dyer and Michael I. Norton
The present investigation explores the neural mechanisms underlying the impact of social influence on preferences. We socially tagged symbols as valued or not-by exposing participants to the preferences of their peers-and assessed subsequent brain activity during an... View Details
Mason, Malia, Rebecca Dyer, and Michael I. Norton. "Neural Mechanisms of Social Influence." Organizational Behavior and Human Decision Processes 110, no. 2 (November 2009): 152–159.
- June 2007
- Article
Merchant or Two-Sided Platform?
By: Andrei Hagiu
This paper provides a first pass at clarifying the economic tradeoffs between two polar strategies for market intermediation: the "merchant" mode, in which the intermediary buys from sellers and resells to buyers; and the "two-sided platform" mode, under which the... View Details
Hagiu, Andrei. "Merchant or Two-Sided Platform?" Review of Network Economics 6, no. 2 (June 2007): 115–133.
- 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
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness
By: Nripsuta Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes and Yang Liu
What is the best way to define algorithmic fairness? While many definitions of fairness have been proposed in the computer science literature, there is no clear agreement over a particular definition. In this work, we investigate ordinary people’s perceptions of three... View Details
Saxena, Nripsuta, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, and Yang Liu. "How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2019).
- 18 May 2007
- Working Paper Summaries
An Empirical Approach to Understanding Privacy Valuation
Keywords: by Luc Wathieu & Allan Friedman
- 2011
- Working Paper
Discretion Within the Constraints of Opportunity: Gender Homophily and Structure in a Formal Organization
By: Adam M. Kleinbaum, Toby E. Stuart and Michael L. Tushman
Homophily in social relations is widely documented. We know that homophily results from both individual preferences and uneven opportunities for interaction, but how these two mechanisms interact in formal organizations is not well understood. We argue that... View Details
Keywords: Interactive Communication; Analytics and Data Science; Organizational Structure; Partners and Partnerships; Behavior; Internet and the Web; Theory; Information Technology Industry
Kleinbaum, Adam M., Toby E. Stuart, and Michael L. Tushman. "Discretion Within the Constraints of Opportunity: Gender Homophily and Structure in a Formal Organization." Harvard Business School Working Paper, No. 12-050, December 2011.
- 2014
- Article
Unequality: Who Gets What and Why It Matters
Who should get what, and what are the consequences? Economic inequality in the United States has been rising for decades, yet only recently have behavioral scientists explored two central questions surrounding the optimal level of inequality. First, what are the... View Details
Keywords: Inequality; Ethics; Productivity; Gambling; Equality and Inequality; Fairness; Income; Performance Productivity; United States
Norton, Michael I. "Unequality: Who Gets What and Why It Matters." Policy Insights from the Behavioral and Brain Sciences 1, no. 1 (2014): 151–155.
- 2012
- Chapter
The Confederacy of Heterogeneous Software Organizations and Heterogeneous Developers: Field Experimental Evidence on Sorting and Worker Effort
By: Kevin J. Boudreau and Karim R. Lakhani
Software development occurs in a patchwork or "confederacy" of different types of institutions (universities, small start-ups, multinational enterprises, government agencies, etc.) utilizing varied work approaches. Here we speculate on one possible explanation for this... View Details
Keywords: Innovation and Invention; Applications and Software; Product Development; Organizations; Employees; Behavior; Competition; Cooperation; Creativity; Information Technology Industry
Boudreau, Kevin J., and Karim R. Lakhani. "The Confederacy of Heterogeneous Software Organizations and Heterogeneous Developers: Field Experimental Evidence on Sorting and Worker Effort." In The Rate and Direction of Inventive Activity Revisited, edited by Josh Lerner and Scott Stern, 483–502. University of Chicago Press, 2012.
- Summer 2014
- Article
When Does a Platform Create Value by Limiting Choice?
By: Ramon Casadesus-Masanell and Hanna Halaburda
We present a theory for why it might be rational for a platform to limit the number of applications available on it. Our model is based on the observation that even if users prefer application variety, applications often also exhibit direct network effects. When there... View Details
Keywords: Platform Governance; Direct Network Effects; Indirect Network Effects; Complements; Tragedy Of The Commons; Equilibrium Selection; Coordination; Foresight; Strategy; Value Creation; Digital Platforms; Balance and Stability; Decision Choices and Conditions; Consumer Behavior; Applications and Software; Network Effects
Casadesus-Masanell, Ramon, and Hanna Halaburda. "When Does a Platform Create Value by Limiting Choice?" Journal of Economics & Management Strategy 23, no. 2 (Summer 2014): 259–293.
- January–February 2025
- Article
What People Still Get Wrong About Negotiations: They Assume the Size of the Pie Is Fixed—and So Miss Opportunities to Create Value
By: Max H. Bazerman
Most executives leave value on the negotiating table, for two main reasons: First, many executives mistakenly believe that they’re negotiating over a fixed pie and that gains for one side necessarily mean losses for the other. Second, they focus exclusively on how to... View Details
Bazerman, Max H. "What People Still Get Wrong About Negotiations: They Assume the Size of the Pie Is Fixed—and So Miss Opportunities to Create Value." Harvard Business Review 103, no. 1 (January–February 2025): 71–77.
- 07 Oct 2015
- HBS Seminar
Florian Ederer, Assistant Professor of Economics, Yale School of Management
- February 1997 (Revised April 1998)
- Case
first direct (A)
Describes the operations and strategy of the world's largest, fastest growing branchless bank. Using a person-to-person interface over conventional phone lines, First Direct provides standard banking and related financial products to nearly 700,000 customers throughout... View Details
Keywords: Service Delivery; Customer Satisfaction; Banks and Banking; Innovation and Invention; Banking Industry; United Kingdom
Rayport, Jeffrey F., and Dickson Louie. "first direct (A)." Harvard Business School Case 897-079, February 1997. (Revised April 1998.)
- October 2020 (Revised May 2023)
- Exercise
SenseAim Technologies: Pricing to Win
By: Elie Ofek, Eyal Biyalogorsky, Marco Bertini and Oded Koenigsberg
This exercise serves to help students understand the proper role and use of costs in a firm’s pricing decisions. The exercise is designed such that the learning of students evolves across a classroom session, starting from understanding which costs are relevant when... View Details
Ofek, Elie, Eyal Biyalogorsky, Marco Bertini, and Oded Koenigsberg. "SenseAim Technologies: Pricing to Win." Harvard Business School Exercise 521-049, October 2020. (Revised May 2023.)
- 24 Mar 2023
- Blog Post
Answering Your Questions About the 2+2 Program
As we approach the 2+2 application deadline, we wanted to answer some of your most common questions about the 2+2 program. We hope this information is useful as you finalize your applications in the next few weeks! We also encourage you... View Details
- 26 Jul 2004
- Research & Ideas
A Better Way to Negotiate: Backward
preferred outcome and think in reverse about how to get there. Here are the basic steps: 1. Draw a "map" of the parties who are currently involved and those who might potentially get onboard, along with their interests and their... View Details
Keywords: by James K. Sebenius
- 19 Dec 2023
- Blog Post
Answering Your Questions About the HBS MBA Application
As we approach the next application deadline, we have noticed a few common questions from prospective students regarding the HBS MBA application. Check out the top 5 questions we get from applicants and the top 3 questions we wish we received, below. We hope this View Details
- 10 Aug 2015
- Research & Ideas
Why a Federal Rule on CEO Pay Disclosure May Get You In Trouble With Customers
Here's a tip for companies looking to woo customers away from the competition: Besides advertising fair prices for your products, try advertising fair wages for your employees. Recent research from Harvard Business School indicates that shoppers View Details
- January 2021
- Article
Veil-of-Ignorance Reasoning Mitigates Self-Serving Bias in Resource Allocation During the COVID-19 Crisis
By: Karen Huang, Regan Bernhard, Netta Barak-Corren, Max Bazerman and Joshua D. Greene
The COVID-19 crisis has forced healthcare professionals to make tragic decisions concerning which patients to save. Furthermore, the COVID-19 crisis has foregrounded the influence of self-serving bias in debates on how to allocate scarce resources. A utilitarian... View Details
Keywords: Self-serving Bias; Procedural Justice; Bioethics; COVID-19; Fairness; Health Pandemics; Resource Allocation; Decision Making
Huang, Karen, Regan Bernhard, Netta Barak-Corren, Max Bazerman, and Joshua D. Greene. "Veil-of-Ignorance Reasoning Mitigates Self-Serving Bias in Resource Allocation During the COVID-19 Crisis." Judgment and Decision Making 16, no. 1 (January 2021): 1–19.
- May 2021 (Revised February 2024)
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States