Filter Results:
(641)
Show Results For
- All HBS Web
(641)
- People (1)
- News (88)
- Research (452)
- Events (13)
- Multimedia (1)
- Faculty Publications (248)
Show Results For
- All HBS Web
(641)
- People (1)
- News (88)
- Research (452)
- Events (13)
- Multimedia (1)
- Faculty Publications (248)
- December 2011 (Revised July 2013)
- Background Note
Hypothesis-Driven Entrepreneurship: The Lean Startup
By: Thomas Eisenmann, Eric Ries and Sarah Dillard
Firms that follow a hypothesis-driven approach to evaluating entrepreneurial opportunity are called "lean startups." Entrepreneurs in these startups translate their vision into falsifiable business model hypotheses, then test the hypotheses using a series of "minimum... View Details
Eisenmann, Thomas, Eric Ries, and Sarah Dillard. "Hypothesis-Driven Entrepreneurship: The Lean Startup." Harvard Business School Background Note 812-095, December 2011. (Revised July 2013.)
- June 2023
- Article
Amplification of Emotion on Social Media
By: Amit Goldenberg and Robb Willer
Why do expressions of emotion seem so heightened on social media? Brady et al. argue that extreme moral outrage on social media is not only driven by the producers and sharers of emotional expressions, but also by systematic biases in the way people that perceive moral... View Details
Goldenberg, Amit, and Robb Willer. "Amplification of Emotion on Social Media." Nature Human Behaviour 7, no. 6 (June 2023): 845–846.
- Winter 2017
- Article
Why Big Data Isn't Enough
By: Sen Chai and Willy C. Shih
There is a growing belief that sophisticated algorithms can explore huge databases and find relationships independent of any preconceived hypotheses. But in businesses that involve scientific research and technological innovation, this approach is misguided and... View Details
Keywords: Big Data; Science-based; Science; Scientific Research; Data Analytics; Data Science; Data-driven Management; Data Scientists; Technological Innovation; Analytics and Data Science; Mathematical Methods; Theory
Chai, Sen, and Willy C. Shih. "Why Big Data Isn't Enough." Art. 58227. MIT Sloan Management Review 58, no. 2 (Winter 2017): 57–61.
- 15 Mar 2013
- News
Take Your 'Emotional Temperature' Before Making Decisions
- 2015
- Working Paper
Expertise vs. Bias in Evaluation: Evidence from the NIH
By: Danielle Li
Evaluators with expertise in a particular field may have an informational advantage in separating good projects from bad. At the same time, they may also have personal preferences that impact their objectivity. This paper develops a framework for separately identifying... View Details
Li, Danielle. "Expertise vs. Bias in Evaluation: Evidence from the NIH." Harvard Business School Working Paper, No. 16-053, October 2015.
- 27 Feb 2019
- News
Privacy in the Digital Age: An Interview with Leslie John
- 18 Apr 2016
- HBS Seminar
Felipe Caro, UCLA Anderson School of Management
- September 2020
- Case
The Black New Venture Competition
By: Karen Mills, Jeffrey J. Bussgang, Martin Sinozich and Gabriella Elanbeck
Black entrepreneurs encounter many unique obstacles when raising capital to start and grow a business. During their second year at Harvard Business School (HBS), MBA students Kimberly Foster and Tyler Simpson decided to do something to make a difference for... View Details
Keywords: Startup; Start-up; Startup Financing; Startups; Start-ups; African-American Protagonist; African-american Entrepreneurs; African-american Investors; African-Americans; African-American Women; Black Leadership; Black Inventors; Black Entrepreneurs; Harvard Business School; Harvard; Business And Society; Early Stage Funding; Early Stage Finance; Technology Entrepreneurship; Discrimination; Technology Ventures; Entrepreneurial Finance; Entrepreneurial Financing; Business Plan; Business Startups; Business Ventures; Financing and Loans; Business Growth and Maturation; Diversity; Gender; Race; Entrepreneurship; Venture Capital; Small Business; Leadership; Information Technology; Competition; Technology Industry
Mills, Karen, Jeffrey J. Bussgang, Martin Sinozich, and Gabriella Elanbeck. "The Black New Venture Competition." Harvard Business School Case 821-029, September 2020.
- 25 Oct 2016
- News
Wikipedia is fixing one of the Internet’s biggest flaws
- Article
A Learning Perspective on Intraorganizational Knowledge Spill-Ins
By: James Oldroyd and Ranjay Gulati
This exploratory study examines the role of intraorganizational knowledge spill-ins in the process of inferential learning. Drawing on the notions of knowledge reliability (the creation of shared meanings) and validity (understandings of cause and effect), we explore... View Details
Oldroyd, James, and Ranjay Gulati. "A Learning Perspective on Intraorganizational Knowledge Spill-Ins." Strategic Entrepreneurship Journal 4, no. 4 (December 2010): 356–372.
- December 2008
- Article
Behavioral Frontiers in Choice Modeling
We review the discussion at a workshop whose goal was to achieve a better integration among behavioral, economic, and statistical approaches to choice modeling. The workshop explored how current approaches to the specification, estimation, and application of choice... View Details
Keywords: Mathematical Methods; Integration; Goals and Objectives; Decision Choices and Conditions; Problems and Challenges; Business Processes; Customers; Behavior; Economics
Adamowicz, Wiktor, David Bunch, Trudy Ann Cameron, Benedict G.C. Dellaert, Michael Hanneman, Michael Keane, Jordan Louviere, Robert Meyer, Thomas J. Steenburgh, and Joffre Swait. "Behavioral Frontiers in Choice Modeling." Marketing Letters 19, nos. 3/4 (December 2008): 215–219.
- September 2023
- Exercise
Irrationality in Action: Decision-Making Exercise
By: Alison Wood Brooks, Michael I. Norton and Oliver Hauser
This teaching exercise highlights the obstacle of biases in decision-making, allowing students to generate examples of potentially poor decision-making rooted in abundant and unwanted bias. This exercise has two parts: a pre-class, online survey in which students... View Details
Brooks, Alison Wood, Michael I. Norton, and Oliver Hauser. "Irrationality in Action: Decision-Making Exercise." Harvard Business School Exercise 924-007, September 2023.
- May 2013
- Article
From Russia with Love: The Impact of Relocated Firms on Incumbent Survival
By: Oliver Falck, Christina Guenther, Stephan Heblich and William R. Kerr
We identify the impact of local firm concentration on incumbent performance with a quasi-natural experiment. When Germany was divided after World War II, many firms in the machine tool industry fled the Soviet occupied zone to prevent expropriation. We show that the... View Details
Falck, Oliver, Christina Guenther, Stephan Heblich, and William R. Kerr. "From Russia with Love: The Impact of Relocated Firms on Incumbent Survival." Journal of Economic Geography 13, no. 3 (May 2013): 419–449.
- December 2014
- Article
Team Reflexivity as an Antidote to Team Information Processing Failures
By: M. C. Schippers, A. C. Edmondson and M. A. West
This article proposes that team reflexivity—a deliberate process of discussing team goals, processes, or outcomes—can function as an antidote to team-level biases and errors in decision making. We build on prior work conceptualizing teams as information-processing... View Details
Keywords: Team Reflexivity; Team Information-processesing Failures; Team Regulatory Processes; Team Learning; Groups and Teams; Knowledge Management
Schippers, M. C., A. C. Edmondson, and M. A. West. "Team Reflexivity as an Antidote to Team Information Processing Failures." Small Group Research 45, no. 6 (December 2014): 731–769.
- January 2004
- Background Note
Why Developers Don't Understand Why Consumers Don't Buy
Looks at the psychological biases developers bring to the new product development process. Identifies three reasons why developers may do a poor job of identifying the demand for an innovative, new concept or product: (1) the self-selection bias, (2) differing initial... View Details
- April 3, 2024
- Article
How Automakers Can Address Resistance to Self-Driving Cars
By: Stuti Agarwal, Julian De Freitas and Carey K. Morewedge
Research involving multiple experiments found that consumers have biased views of their driving abilities relative to those of other drivers and automated vehicles. These findings have implications for the adoption of partly or fully automated vehicles, which one day... View Details
Keywords: Technology Adoption; Consumer Behavior; Government Legislation; Prejudice and Bias; Auto Industry; Technology Industry
Agarwal, Stuti, Julian De Freitas, and Carey K. Morewedge. "How Automakers Can Address Resistance to Self-Driving Cars." Harvard Business Review (website) (April 3, 2024).
- 28 Sep 2017
- News
Why Venture Capitalists Aren’t Funding The Businesses We Need
Don’t Focus on the Most Expressive Face in the Audience
Research has shown that when speaking in front of a group, people’s attention tends to gets stuck on the most emotional faces, causing them to overestimate the group’s average emotional state. In this piece, the authors share two additional findings: First, the... View Details
- Research Summary
Overview
Given the difficulty of directly debiasing cognitive and social biases, Ariella's research focuses on how environments can be structured to reduce biased behaviors and outcomes. Ariella is currently pursuing two main strands of research: the first is a focus on... View Details