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Show Results For
- All HBS Web
(5,240)
- People (1)
- News (1,174)
- Research (3,225)
- Events (41)
- Multimedia (38)
- Faculty Publications (1,719)
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- 2003
- Other Unpublished Work
Compensatory Transfers in Two-Player Decision Problems
By: Jerry R. Green
- 2015
- Article
Approach, Ability, Aftermath: A Psychological Framework of Unethical Behavior at Work
By: C. Moore and F. Gino
Many of the scandalous organizational practices that have come to light in the last decade—rigging LIBOR, misselling payment protection insurance, rampant Wall Street insider trading, large-scale bribery of foreign officials, and the packaging and sale of toxic... View Details
Moore, C., and F. Gino. "Approach, Ability, Aftermath: A Psychological Framework of Unethical Behavior at Work." Academy of Management Annals 9 (2015): 235–289.
- October–December 2015
- Article
Reducing Bounded Ethicality: How to Help Individuals Notice and Avoid Unethical Behavior
By: Ting Zhang, Pinar O. Fletcher, Francesca Gino and Max H. Bazerman
Research on ethics has focused on the factors that help individuals act ethically when they are tempted to cheat. However, we know little about how best to help individuals notice unethical behaviors in others and in themselves. This paper identifies a solution:... View Details
Zhang, Ting, Pinar O. Fletcher, Francesca Gino, and Max H. Bazerman. "Reducing Bounded Ethicality: How to Help Individuals Notice and Avoid Unethical Behavior." Special Issue on Bad Behavior. Organizational Dynamics 44, no. 4 (October–December 2015): 310–317.
- 31 Jan 2012
- Working Paper Summaries
Observation Bias: The Impact of Demand Censoring on Newsvendor Level and Adjustment Behavior
Keywords: by David F. Drake
- 18 May 2016
- Research & Ideas
Unethical Amnesia: Why We Tend to Forget Our Own Bad Behavior
questions about past misdeeds. But a recent set of studies indicates that people genuinely do tend to forget the details of their own transgressions. In the paper Leaving Our Immoral Deeds in the Past, researchers show that engaging in... View Details
Keywords: by Carmen Nobel
- 2013
- Working Paper
Inequality and Decision Making: Imagining a New Line of Inquiry
By: David Moss, Anant Thaker and Howard Rudnick
The substantial increase in inequality in the United States over the past three decades has provoked considerable debate, with some analysts characterizing rising inequality as among the greatest threats facing the nation and others dismissing it as little more than a... View Details
Keywords: Equality and Inequality; Income; Decision Making; Government and Politics; Economics; United States
Moss, David, Anant Thaker, and Howard Rudnick. "Inequality and Decision Making: Imagining a New Line of Inquiry." Harvard Business School Working Paper, No. 13-099, June 2013.
- 2024
- Working Paper
Using LLMs for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have rapidly gained popularity as labor-augmenting
tools for programming, writing, and many other processes that benefit from quick text
generation. In this paper we explore the uses and benefits of LLMs for researchers and
practitioners... View Details
Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
- July 2024
- Article
A (Dynamic) Investigation of Stereotypes, Belief-Updating, and Behavior
By: Katherine B. Coffman, Paola Ugalde Araya and Basit Zafar
Many decisions—such as what educational or career path to pursue—are dynamic in nature, with individuals receiving feedback at one point in time and making decisions later. Using a controlled experiment, with two sessions one week apart, we analyze the dynamic effects... View Details
Keywords: Feedback; Beliefs; Stereotypes; Self-assessment; Gender Gap; Gender; Equality and Inequality; Perception; Decision Choices and Conditions
Coffman, Katherine B., Paola Ugalde Araya, and Basit Zafar. "A (Dynamic) Investigation of Stereotypes, Belief-Updating, and Behavior." Economic Inquiry 62, no. 3 (July 2024): 957–983.
- 2024
- Working Paper
Webmunk: A New Tool for Studying Online Behavior and Digital Platforms
By: Chiara Farronato, Andrey Fradkin and Chris Karr
Understanding the behavior of users online is important for researchers, policymakers, and private companies alike. But observing online behavior and conducting experiments is difficult without direct access to the user base and software of technology companies. We... View Details
Farronato, Chiara, Andrey Fradkin, and Chris Karr. "Webmunk: A New Tool for Studying Online Behavior and Digital Platforms." NBER Working Paper Series, No. 32694, July 2024.
- 23 Jun 2023
- HBS Case
This Company Lets Employees Take Charge—Even with Life and Death Decisions
Is it possible to truly empower employees to make their own decisions—even when those decisions could mean life or death? That is the question posed by Dutch home healthcare organization Buurtzorg, which has radically avoided almost all... View Details
- 2007
- Chapter
Negotiation Analysis: Between Decisions and Games
- 26 Aug 2002
- Research & Ideas
High-Stakes Decision Making: The Lessons of Mount Everest
and insufficient confidence on the other. Leaders must act decisively when faced with challenges, and they must inspire others to do so as well. A lack of confidence can enhance anticipatory regret, or the apprehension that individuals... View Details
Keywords: by Michael A. Roberto
- 28 Feb 2011
- Research & Ideas
The Importance of ‘Don’t’ in Inducing Ethical Employee Behavior
prevention of being unethical. (The paper will be published in the academic journal, "Organizational Behavior and Human Decision Processes.") "Since the Enron scandal, there has been a lot of... View Details
Keywords: by Carmen Nobel
- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details
Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
- August 2012
- Article
Organ Allocation Policy and the Decision to Donate
By: Judd B. Kessler and Alvin E. Roth
Organ donations from deceased donors (cadavers) provide the majority of transplanted organs in the United States, and one deceased donor can save numerous lives by providing multiple organs. Nevertheless, most Americans are not registered organ donors despite the... View Details
Keywords: Organ Donation; Health; Philanthropy and Charitable Giving; Decision Making; Resource Allocation; Mathematical Methods; United States
Kessler, Judd B., and Alvin E. Roth. "Organ Allocation Policy and the Decision to Donate." American Economic Review 102, no. 5 (August 2012): 2018–2047.
- 26 Mar 2019
- First Look
New Research and Ideas, March 26, 2019
March 2019 Organizational Behavior and Human Decision Processes Thin Slices of Workgroups By: Satterstrom, Patricia, Jeffrey T. Polzer, Lisa Kwan, Oliver P. Hauser, Wannawiruch Wiruchnipawan, and Marina... View Details
Keywords: Dina Gerdeman
- August 2018 (Revised September 2018)
- Case
Predicting Purchasing Behavior at PriceMart (A)
By: Srikant M. Datar and Caitlin N. Bowler
This case follows VP of Marketing, Jill Wehunt, and analyst Mark Morse as they tackle a predictive analytics project to increase sales in the Mom & Baby unit of a nationally recognized retailer, PriceMart. Wehunt observed that in the midst of the chaos that surrounded... View Details
Keywords: Data Science; Analytics and Data Science; Analysis; Consumer Behavior; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (A)." Harvard Business School Case 119-025, August 2018. (Revised September 2018.)
- Teaching Interest
Overview
Michaela teaches management, healthcare and research methods courses across the undergraduate, master and executive levels. Her recent courses include organizational behavior, negotiation, research in health policy, and social entrepreneurship. View Details
- 2012
- Article
Behavioral Economics and the Psychology of Fruit and Vegetable Consumption
By: Joe Price and Jason Riis
Behavioral economics is an emerging paradigm that challenges the assumptions and predictions of classical economics. This new paradigm emphasizes that consumers do not always make optimal use of available information nor do they always make choices and tradeoffs in a... View Details
Keywords: Plant-Based Agribusiness; Food; Social Marketing; Decision Choices and Conditions; Consumer Behavior; Nutrition
Price, Joe, and Jason Riis. "Behavioral Economics and the Psychology of Fruit and Vegetable Consumption." Journal of Food Studies 1, no. 1 (2012): 1–13.