Publications

July 1999 (Revised January 2004)
Case

Chrysler and BMW: Tritec Engine Joint Venture

By: H. Kent Bowen and Courtney Purrington

A gifted project leader lacks significant new product development experience. The case highlights the issues and procedures related to defining the project strategy: organizing senior management approvals and support for creating a "heavyweight" team; aligning the... View Details

Keywords: Product Development; Joint Ventures; Projects; Business Strategy; Management Teams; Groups and Teams; Machinery and Machining; Design; Business Processes; Product Design; Product; Management Analysis, Tools, and Techniques; Auto Industry

Educators

1999
Article

Effects of Instructional Style on Problem-Solving Creativity

By: A. M. Ruscio and T. M. Amabile

This study sought to determine the impact of 2 differing instructional approaches on creative problem-solving performance. Eighty-two college students completed a novel structure-building task after receiving algorithmic instruction (providing a rote, step-by-step... View Details

Keywords: Training; Creativity; Cognition and Thinking; Performance; Learning

1994
Chapter

Biases and Rationality in the Mediation Process

By: K. Gibson, L. L. Thompson and M. H. Bazerman

Keywords: Negotiation Process; Negotiation Style; Prejudice and Bias; Attitudes

May 1990 (Revised September 1994)
Background Note

Note on Financial Reporting Strategy and Analysis When Managers Have Proprietary Information

By: Krishna G. Palepu

Provides a framework that helps explain these real-world observations about accounting and financial statement analysis. When managers have superior information on firms' strategies, and when investors suspect that managers have incentives not to fully disclose this... View Details

Keywords: Financial Reporting; Strategy; Knowledge Management

Educators

January 1982
Article

A Negativity Bias in Interpersonal Evaluation

By: T. M. Amabile and A. H. Glazebrook

Two studies were conducted to demonstrate a bias toward negativity in evaluations of persons or their work in particular social circumstances. In Study 1, subjects evaluated materials written by peers. Those working under conditions that placed them in low status... View Details

Keywords: Social Psychology; Status and Position; Prejudice and Bias; Performance Evaluation; Situation or Environment; Perception; Attitudes

1980
Working Paper

Taxation and the Ex-dividend Day Behavior of Common Stock Prices

By: Jerry R. Green

The behavior of stock prices around ex-dividend days has been suggested as evidence for tax-induced clientele effects and as a means to estimate the average effective tax rate faced by investors. In this paper these possibilities are examined theoretically and... View Details

Keywords: Taxation; Stocks; Price

July 1977
Article

Social Roles, Social Control and Biases in Social Perception Processes

By: L. D. Ross, T. M. Amabile and J. Steinmetz

To make accurate social judgments, an individual must both recognize and adequately correct for the self-presentation advantages or disadvantages conferred upon actors by their social roles. Two experiments using 120 undergraduates examined social perceptions formed... View Details

Keywords: Perception; Prejudice and Bias; Social Psychology; Judgments; Power and Influence; Status and Position; Situation or Environment

Teaching Interest

Executive Education: Finance for Senior Executives

By: Malcolm P. Baker

Finance for Senior Executives provides the frameworks to strategically use financial resources and position your company for future success. By examining corporate finance from both internal and external perspectives, this HBS Executive Education View Details

Forthcoming
Article

Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation

By: Maya Balakrishnan, Kris Ferreira and Jordan Tong

Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details

Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing

Research Summary

Overview

By: Iavor I. Bojinov

Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details

Research Summary

Overview

By: Himabindu Lakkaraju

I develop machine learning tools and techniques which enable human decision makers to make better decisions. More specifically, my research addresses the following fundamental questions pertaining to human and algorithmic decision-making:

1. How to build... View Details

Keywords: Artificial Intelligence; Machine Learning; Decision Analysis; Decision Support

Research Summary

Overview

By: Katherine B. Coffman

Professor Coffman studies the sources of gender gaps in economically-important contexts. Her work focuses on the role of beliefs: how do stereotypes bias the beliefs that individuals hold about themselves (and others), and how do these biased beliefs shape... View Details

Keywords: Gender; Stereotypes; Diversity Management; Experiments

Forthcoming
Article

Reflexivity in Credit Markets

By: Robin Greenwood, Samuel G. Hanson and Lawrence J. Jin

Reflexivity is the idea that investors' biased beliefs affect market outcomes and that market outcomes in turn affect investors’ future biases. We develop a dynamic behavioral model of the credit cycle featuring this two-way feedback loop. Investors form beliefs about... View Details

Keywords: Reflexivity; Attitudes; Financial Markets; Forecasting and Prediction; Investment; Credit

Forthcoming
Article

Sampling Bias in Entrepreneurial Experiments

By: Ruiqing Cao, Rembrand Koning and Ramana Nanda

Using data from a prominent online platform for launching new digital products, we document that ‘sampling bias’—defined as the difference between a startup’s target customer base and the actual sample on which early ‘beta tests’ are conducted—has a systematic and... View Details

Keywords: Target Market; Sampling Biases; Beta Testing; Product Launch; Entrepreneurship; Gender

Research Summary

Selective Attention and Learning

By: Joshua R. Schwartzstein

What do we notice, and how does this affect what we learn? Standard economic models of learning ignore memory by assuming that we remember everything. But there is growing recognition that memory is imperfect. Further, memory imperfections do not stem from limited... View Details

Forthcoming
Article

Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs

By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez

Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details

Keywords: Prejudice and Bias; Gender; Training; Recruitment; Personal Development and Career