Filter Results
:
(592)
Show Results For
-
All HBS Web
(592)
- People (1)
- News (94)
- Research (399)
- Events (5)
- Multimedia (1)
- Faculty Publications (209)
Show Results For
-
All HBS Web
(592)
- People (1)
- News (94)
- Research (399)
- Events (5)
- Multimedia (1)
- Faculty Publications (209)
- March 2011
- Supplement
The Future of BioPasteur -- Supplement
By: Giovanni Gavetti and Francesca Gino
The purpose of this exercise is to let students experience a few biases that can be deleterious to strategic decision-making. In particular, students are induced to fall into a confirmatory trap, and to experience other biases such as anchoring and sampling bias....
View Details
Gavetti, Giovanni, and Francesca Gino. "The Future of BioPasteur -- Supplement." Harvard Business School Supplement 711-509, March 2011.
- 2013
- Chapter
Behavioral Corporate Finance: A Current Survey
By: Malcolm Baker and Jeffrey Wurgler
We survey the theory and evidence of behavioral corporate finance, which generally takes one of two approaches. The market timing and catering approach views managerial financing and investment decisions as rational managerial responses to securities mispricing. The...
View Details
Keywords:
Managerial Roles;
Theory;
Corporate Finance;
Financial Management;
Investment;
Market Timing;
Behavioral Finance;
Prejudice and Bias;
Economics;
Forecasting and Prediction
Baker, Malcolm, and Jeffrey Wurgler. "Behavioral Corporate Finance: A Current Survey." In Handbook of the Economics of Finance, Volume 2A: Corporate Finance, edited by George M. Constantinides, Milton Harris, and Rene M. Stulz, 357–424. Handbooks in Economics. New York: Elsevier, 2013.
Behavioral Corporate Finance: A Survey
In this chapter, we survey the theory and evidence of behavioral corporate finance, which generally takes one of two approaches. The market timing and catering approach views managerial financing and investment decisions as rational managerial responses to... View Details
- Article
Price and Quality Decisions by Self-Serving Managers
By: Marco Bertini, Daniel Halbheer and Oded Koenigsberg
We present a theory of price and quality decisions by managers who are self-serving. In the theory, firms stress the price or quality of their products, but not both. Accounting for this, managers exploit any uncertainty about the cause of market outcomes to credit...
View Details
Keywords:
Causal Reasoning;
Self-serving Bias;
Strategic Orientation;
Managerial Decision-making;
Price;
Quality;
Decision Making;
Theory
Bertini, Marco, Daniel Halbheer, and Oded Koenigsberg. "Price and Quality Decisions by Self-Serving Managers." International Journal of Research in Marketing 37, no. 2 (June 2020): 236–257.
- 05 Jan 2017
- Blog Post
Simple Ways to Take Gender Bias Out of Your Jobs
wondering why mostly men (or mostly women) are applying for your company’s open positions. Look at the language in your job listings. Chances are, the wording is more biased toward one gender than you realize. While the Civil Rights Act...
View Details
Keywords:
All Industries
- 07 Jun 2019
- Working Paper Summaries
Reflexivity in Credit Markets
- 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.
- June 2013
- Article
Opting-in: Participation Bias in Economic Experiments
By: Robert Slonim, Carmen Wang, Ellen Garbarino and Danielle Merrett
Assuming individuals rationally decide whether to participate or not to participate in lab experiments, we hypothesize several non-representative biases in the characteristics of lab participants. We test the hypotheses by first collecting survey and experimental data...
View Details
Slonim, Robert, Carmen Wang, Ellen Garbarino, and Danielle Merrett. "Opting-in: Participation Bias in Economic Experiments." Journal of Economic Behavior & Organization 90 (June 2013): 43–70.
- 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.
- March 2011
- Supplement
BioPasteur: Instructions for the group discussion
By: Giovanni Gavetti and Francesca Gino
The purpose of this exercise is to let students experience a few biases that can be deleterious to strategic decision-making. In particular, students are induced to fall into a confirmatory trap, and to experience other biases such as anchoring and sampling bias....
View Details
Gavetti, Giovanni, and Francesca Gino. "BioPasteur: Instructions for the group discussion." Harvard Business School Supplement 711-510, March 2011.
- 03 Jun 2019
- Working Paper Summaries
Memory and Representativeness
- 27 Feb 2019
- News
Privacy in the Digital Age: An Interview with Leslie John
- 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.
- November–December 2019
- Article
Making Sense of Soft Information: Interpretation Bias and Loan Quality
By: Dennis Campbell, Maria Loumioti and Regina Wittenberg Moerman
We explore whether behavioral biases impede the effective processing and interpretation of soft information in private lending. Taking advantage of the internal reporting system of a large federal credit union, we delineate three important biases likely to affect the...
View Details
Keywords:
Soft Information;
Lending;
Banking;
Information;
Financing and Loans;
Banks and Banking;
Decision Making
Campbell, Dennis, Maria Loumioti, and Regina Wittenberg Moerman. "Making Sense of Soft Information: Interpretation Bias and Loan Quality." Art. 101240. Journal of Accounting & Economics 68, nos. 2-3 (November–December 2019).
- 25 Oct 2016
- News
Wikipedia is fixing one of the Internet’s biggest flaws
- Spring 2016
- Article
The Billion Prices Project: Using Online Prices for Inflation Measurement and Research
By: Alberto Cavallo and Roberto Rigobon
New data-gathering techniques, often referred to as “Big Data” have the potential to improve statistics and empirical research in economics. In this paper we describe our work with online data at the Billion Prices Project at MIT and discuss key lessons for both...
View Details
Keywords:
Billion Prices Project;
Online Scraped Data;
Online Price Index;
Economics;
Research;
Price;
Analytics and Data Science
Cavallo, Alberto, and Roberto Rigobon. "The Billion Prices Project: Using Online Prices for Inflation Measurement and Research." Journal of Economic Perspectives 30, no. 2 (Spring 2016): 151–178.
- 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.)