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Show Results For
- All HBS Web
(1,918)
- People (2)
- News (212)
- Research (1,369)
- Events (15)
- Multimedia (13)
- Faculty Publications (905)
- 27 Nov 2023
- Research & Ideas
Voting Democrat or Republican? The Critical Childhood Influence That's Tough to Shake
American political candidates are forecast to spend as much as $12 billion by next November to put ads on airwaves, texts on phones, and signs on lawns. Yet new research from Harvard Business School finds that no amount of money can undo... View Details
Keywords: by Ben Rand
- Article
Why Hospitals Don't Learn from Failures: Organizational and Psychological Dynamics That Inhibit System Change
By: A. Tucker and A. Edmondson
The importance of hospitals learning from their failures hardly needs to be stated. Not only are matters of life and death at stake on a daily basis, but also an increasing number of U.S. hospitals are operating in the red. This article reports on in-depth qualitative... View Details
Tucker, A., and A. Edmondson. "Why Hospitals Don't Learn from Failures: Organizational and Psychological Dynamics That Inhibit System Change." California Management Review 45, no. 2 (Winter 2003). (Winner of Accenture Award For the article published in the California Management Review that has made the most important contribution to improving the practice of management.)
- August 2003 (Revised May 2009)
- Background Note
Basic Venture Capital Formula, The
By: William A. Sahlman and Matthew Willis
Briefly summarizes the process that venture capitalists use to analyze high-risk, long-term investments. Contains information on methods that can be used to calculate valuation, share price, percent ownership, implied valuation, dilution, and option pools. View Details
Sahlman, William A., and Matthew Willis. "Basic Venture Capital Formula, The." Harvard Business School Background Note 804-042, August 2003. (Revised May 2009.)
- 2016
- Chapter
User-Generated Content and Social Media
By: Michael Luca
This paper documents what economists have learned about user-generated content (UGC) and social media. A growing body of evidence suggests that UGC on platforms ranging from Yelp to Facebook has a large causal impact on economic and social outcomes ranging from... View Details
Keywords: User-generated Content; Crowdsourcing; Design Economics; Internet and the Web; Marketing; Economics; Media; Social Media
Luca, Michael. "User-Generated Content and Social Media." Chap. 12 in Handbook of Media Economics. Vol. 1B, edited by Simon Anderson, Joel Waldfogel, and David Strömberg. North-Holland Publishing Company, 2016.
- 2008
- Working Paper
Allocating Marketing Resources
By: Sunil Gupta and Thomas J. Steenburgh
Marketing is essential for the organic growth of a company. Not surprisingly, firms spend billions of dollars on marketing. Given these large investments, marketing managers have the responsibility to optimally allocate these resources and demonstrate that these... View Details
Keywords: Investment Return; Resource Allocation; Marketing; Demand and Consumers; Mathematical Methods
Gupta, Sunil, and Thomas J. Steenburgh. "Allocating Marketing Resources." Harvard Business School Working Paper, No. 08-069, February 2008.
- 07 Mar 2019
- HBS Seminar
Petra Moser, NYU Stern School of Business
- 2017
- Chapter
Toward Transparent Reporting of Psychological Science
By: Etienne P. LeBel and Leslie K. John
In this chapter we make a case for increased transparency of the methods used to obtain research findings. Although comprehensive reporting facilitates accurate assessment of a paper’s claims, the current reporting norm is secrecy, not openness. We begin by putting... View Details
LeBel, Etienne P., and Leslie K. John. "Toward Transparent Reporting of Psychological Science." In Psychological Science under Scrutiny: Recent Challenges and Proposed Solutions, edited by S.O. Lilienfeld and I.D. Waldman. New York: John Wiley & Sons, 2017.
- September 2023
- Module Note
Live Case Exercise for Financial Reporting
By: Tatiana Sandino and Marshal Herrmann
Harvard Business School employs the case method as a cornerstone of its pedagogy, providing students with opportunities to engage in discussions related to difficult or contentious decisions confronted by real-world organizations. In this “live case,” we depart from... View Details
- Research Summary
Compensatory Transfers in Collective Decision Making
By: Jerry R. Green
Jerry R. Green is studying mechanisms that can be employed to promote efficient collective decisions while providing justifiable compensation to participants who favor different, less efficient alternatives. This type of decision problem is pervasive in business,... View Details
- 20 Jun 2023
- Research & Ideas
Looking to Leave a Mark? Memorable Leaders Don't Just Spout Statistics, They Tell Stories
Harvard Business School. People are more likely to recall information over a longer period when it’s wrapped in an anecdote as opposed to statistics, according to the study, “Stories, Statistics and Memory.” Graeber’s research validates... View Details
Keywords: by Scott Van Voorhis
- August 2023
- Article
Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet models have become more complex and harder to understand. To understand complex models, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use... View Details
Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel." Nature Machine Intelligence 5, no. 8 (August 2023): 873–883.
James E. Austin
Dr. Austin holds the Eliot I. Snider and Family Professor of Business Administration, Emeritus at the Harvard Business School. Previously he held the John G. McLean Professorship and the Richard P. Chapman Professorship. He has been a member of the Harvard... View Details
Keywords: agribusiness
- 2021
- Working Paper
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research. However, recent advances in econometric theory show that such designs are likely to be biased in the... View Details
Keywords: Difference In Differences; Staggered Difference-in-differences Designs; Generalized Difference-in-differences; Dynamic Treatment Effects; Mathematical Methods
Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" European Corporate Governance Institute Finance Working Paper, No. 736/2021, February 2021. (Harvard Business School Working Paper, No. 21-112, April 2021.)
- November 2021
- Article
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data
By: William Herlands, Edward McFowland III, Andrew Gordon Wilson and Daniel B. Neill
Identifying anomalous patterns in real-world data is essential for understanding where, when, and how systems deviate from their expected dynamics. Yet methods that separately consider the anomalousness of each individual data point have low detection power for subtle,... View Details
Herlands, William, Edward McFowland III, Andrew Gordon Wilson, and Daniel B. Neill. "Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data." Proceedings of Machine Learning Research (PMLR) 84 (2018): 425–434. (Also presented at the 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.)
- March 2022
- Article
Sensitivity Analysis of Agent-based Models: A New Protocol
By: Emanuele Borgonovo, Marco Pangallo, Jan Rivkin, Leonardo Rizzo and Nicolaj Siggelkow
Agent-based models (ABMs) are increasingly used in the management sciences. Though useful, ABMs are often critiqued: it is hard to discern why they produce the results they do and whether other assumptions would yield similar results. To help researchers address such... View Details
Keywords: Agent-based Modeling; Sensitivity Analysis; Design Of Experiments; Total Order Sensitivity Indices; Organizations; Behavior; Decision Making; Mathematical Methods
Borgonovo, Emanuele, Marco Pangallo, Jan Rivkin, Leonardo Rizzo, and Nicolaj Siggelkow. "Sensitivity Analysis of Agent-based Models: A New Protocol." Computational and Mathematical Organization Theory 28, no. 1 (March 2022): 52–94.
- Article
Organizational Ambidexterity in Action: How Managers Explore and Exploit
By: Charles A. O'Reilly III and Michael L. Tushman
Dynamic capabilities have been proposed as a useful way to understand how organizations are able to adapt to changes in technology and markets. Organizational ambidexterity, the ability of senior managers to seize opportunities through the orchestration and integration... View Details
Keywords: Decision Choices and Conditions; Management Practices and Processes; Resource Allocation; Organizational Change and Adaptation; Organizational Design; Opportunities
O'Reilly, Charles A., III, and Michael L. Tushman. "Organizational Ambidexterity in Action: How Managers Explore and Exploit." California Management Review 53, no. 4 (Summer 2011): 5–21.
- March – April 2008
- Article
Identity Incentives as an Engaging Form of Control: Revisiting Leniencies in an Aeronautic Plant
By: Michel Anteby
Research has long shown that organizations shape members' identities. However, the possibility that these identities might also be desired and that members might benefit from this process has only recently been explored. In a qualitative study of a French aeronautic... View Details
Keywords: Governance Controls; Employee Relationship Management; Organizational Culture; Identity; Motivation and Incentives; Aerospace Industry; France
Anteby, Michel. "Identity Incentives as an Engaging Form of Control: Revisiting Leniencies in an Aeronautic Plant." Organization Science 19, no. 2 (March–April 2008): 202–220.
- September 2021
- Article
Oh's 8-Universality Criterion Is Unique
Using the methods developed for the proof that the 2-universality criterion is unique, we partially characterize criteria for the n-universality of positive-definite integer-matrix quadratic forms. We then obtain the uniqueness of Oh’s 8-universality criterion as an... View Details
Keywords: N-universal Lattice; 8-universal Lattice; Universality Criteria; Quadratic Forms; Additively Indecomposable; Mathematical Methods
Kominers, Scott Duke. "Oh's 8-Universality Criterion Is Unique." Kyungpook Mathematical Journal 61, no. 3 (September 2021): 455–459.
- 13 Apr 2012
- HBS Seminar
Drazen Prelec, Professor of Management Science and Economics at MIT Sloan School of Management
- December 2018
- Article
Ideological Misfit? Political Affiliation and Employee Departure in the Private-Equity Industry
By: Y. Sekou Bermiss and Rory McDonald
Though organizations are increasingly active participants in the political realm, little research has investigated how an organization’s heightened focus on political ideology impacts employees. We address this gap by exploring how an individual’s political ideological... View Details
Keywords: Values and Beliefs; Employees; Organizational Culture; Resignation and Termination; Financial Services Industry; United States
Bermiss, Y. Sekou, and Rory McDonald. "Ideological Misfit? Political Affiliation and Employee Departure in the Private-Equity Industry." Academy of Management Journal 61, no. 6 (December 2018): 2182–2209.