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Show Results For
-
All HBS Web
(10,108)
- People (64)
- News (3,231)
- Research (3,925)
- Events (24)
- Multimedia (60)
- Faculty Publications (1,353)
- 26 Aug 2002
- Research & Ideas
High-Stakes Decision Making: The Lessons of Mount Everest
demonstrate that they have considered those views carefully and genuinely. Moreover, they must clearly explain the rationale for their final decision, including why they chose to accept some input and advice while rejecting other suggestions. 73 View Details
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by Michael A. Roberto
- 25 Aug 2014
- HBS Case
Starbucks Reinvented
untested arenas that define the company as it exists today. "This case distills 20 years of my thinking about the most important lessons of strategy, leadership, and managing in turbulence in the frame of a very relevant...
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- June 2020
- Article
Parallel Play: Startups, Nascent Markets, and the Effective Design of a Business Model
By: Rory McDonald and Kathleen Eisenhardt
Prior research advances several explanations for entrepreneurial success in nascent markets but leaves a key imperative unexplored: the business model. By studying five ventures in the same nascent market, we develop a novel theoretical framework for understanding how...
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Keywords:
Search;
Legitimacy;
Organizational Innovation;
Organizational Learning;
Mechanisms And Processes;
Institutional Entrepreneurship;
Qualitative Methods;
Business Model Design;
Business Model;
Business Startups;
Entrepreneurship;
Emerging Markets;
Adaptation;
Competition;
Strategy
McDonald, Rory, and Kathleen Eisenhardt. "Parallel Play: Startups, Nascent Markets, and the Effective Design of a Business Model." Administrative Science Quarterly 65, no. 2 (June 2020): 483–523.
- 09 Jul 2008
- Research & Ideas
Starbucks’ Lessons for Premium Brands
Starbucks' announcement that it will close 600 stores in the United States is a long-overdue admission that there are limits to growth. In February 2007, a leaked internal memo written by founder Howard Schultz showed that he recognized...
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- 18 Sep 2017
- Research & Ideas
'Likes' Lead to Nothing—and Other Hard-Learned Lessons of Social Media Marketing
TV, but was amplified by exposure on YouTube and other social media. Click to watch. As marketers have experimented, what have they learned about what works on social? We sat down with four marketing experts...
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- 20 Dec 2018
- Research & Ideas
Most Popular Stories and Research Papers of 2018
from Anywhere or Co-locate? Autonomy versus Learning Effects at the United States Patent Office This study of a real firm presents robust econometric evidence that "work from anywhere" organizational policies can have positive...
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by Sean Silverthorne
- 06 May 2024
- Research & Ideas
The Critical Minutes After a Virtual Meeting That Can Build Up or Tear Down Teams
Virtual meetings have become the standard for global and hybrid team communication, but what happens when the call ends? Participants who are in the same room keep talking—and the tone of those conversations can dramatically impact team dynamics over time, says new...
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by Michael Blanding
- 06 Jun 2007
- Research & Ideas
Behavioral Finance—Benefiting from Irrational Investors
new shares you suddenly own of a company that you never intended to buy in the first place? Logic suggests that you would be likely to sell those shares. But research by Associate Professor Malcolm Baker, Professor Joshua Coval, and...
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by Julia Hanna
- 14 Feb 2023
- Research & Ideas
When a Vacation Isn’t Enough, a Sabbatical Can Recharge Your Life—and Your Career
time when some companies are pushing employees to think of themselves as little more than a cog in a wheel. “Americans see business as very much like Elon Musk sleeping under his desk, not Steve Jobs View Details
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by Michael Blanding
- 08 Sep 2011
- What Do You Think?
What’s Apple’s Biggest Challenge: Replacing Steve or Wall Street?
training, and a master touch with the iPod world, and ceaseless curiosity . Put them in the same room, watch what happens . Get out of the way." Whatever else is needed, C. J. Cullinane suggests that "Jobs will have to be replaced View Details
- Article
Algorithms Need Managers, Too
By: Michael Luca, Jon Kleinberg and Sendhil Mullainathan
Algorithms are powerful predictive tools, but they can run amok when not applied properly. Consider what often happens with social media sites. Today many use algorithms to decide which ads and links to show users. But when these algorithms focus too narrowly on...
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Keywords:
Machine Learning;
Algorithms;
Predictive Analytics;
Management;
Big Data;
Analytics and Data Science
Luca, Michael, Jon Kleinberg, and Sendhil Mullainathan. "Algorithms Need Managers, Too." Harvard Business Review 94, nos. 1/2 (January–February 2016): 96–101.
- 14 Jan 2019
- Op-Ed
These 4 CEOs Created a New Standard of Leadership
Group to add healthier products to its lineup. When soft drink sales declined in 2010, shareholders criticized PepsiCo’s execution. Nooyi responded by beefing up PepsiCo’s marketing and strengthening her leadership team—but held firm to...
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- 30 Apr 2021
- Research & Ideas
Why Anger Makes a Wrongly Accused Person Look Guilty
researchers were inspired to investigate the link between anger and guilt five years ago after discussing true crime documentaries and the dynamics of the falsely accused being interviewed by police. “As behavioral scientists, we wondered...
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by Michael Blanding
- 25 Jan 2022
- Research & Ideas
More Proof That Money Can Buy Happiness (or a Life with Less Stress)
control, allowing us to buy our way out of unforeseen bumps in the road, whether it’s a small nuisance, like dodging a rainstorm by ordering up an Uber, or a bigger worry, like handling an unexpected hospital bill, says Harvard Business...
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by Michael Blanding
- 08 Mar 2004
- Research & Ideas
Creating Value in Your Business Ecosystem
Fundamentally, they aim to improve the overall health of their ecosystems by providing a stable and predictable set of common assets—think of Wal-Mart's procurement system and Microsoft's Windows operating system and tools—that other...
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by Marco Iansiti & Roy Levien
- 10 Oct 2016
- Book
Why White-Collar Criminals Commit Their Crimes
- August 2022
- Article
What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features
By: Shunyuan Zhang, Dokyun Lee, Param Vir Singh and Kannan Srinivasan
We study how Airbnb property demand changed after the acquisition of verified images (taken by Airbnb’s photographers) and explore what makes a good image for an Airbnb property. Using deep learning and difference-in-difference analyses on an Airbnb panel dataset...
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Keywords:
Sharing Economy;
Airbnb;
Property Demand;
Computer Vision;
Deep Learning;
Image Feature Extraction;
Content Engineering;
Property;
Marketing;
Demand and Consumers
Zhang, Shunyuan, Dokyun Lee, Param Vir Singh, and Kannan Srinivasan. "What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features." Management Science 68, no. 8 (August 2022): 5644–5666.
- 31 Oct 2007
- HBS Case
Climate Change Puts Heat on GMs
What is the responsibility of business regarding social issues? And how does that jibe with maximizing profits? In "UBS and Climate Change—Warming Up to Global Action?" Associate Professor Felix Oberholzer-Gee and Professor Forest Reinhardt present the...
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- 05 May 2008
- Research & Ideas
Connecting with Consumers Using Deep Metaphors
language of thought and expression. It is a language that marketers must learn to speak if they are to understand and connect meaningfully with their customers. Q: How did you become fascinated by deep...
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- 11 May 2009
- Research & Ideas
The IT Leader’s Hero Quest
and ultimately an excellent journey to learning effective leadership skills in The Adventures of an IT Leader (Harvard Business Press). According to the novel's creators, a fictional approach allowed them to blend real-life incidents they...
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by Martha Lagace