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Show Results For
- All HBS Web
(4,047)
- People (2)
- News (559)
- Research (2,863)
- Events (51)
- Multimedia (21)
- Faculty Publications (2,068)
- July 9, 2019
- Article
Common Knowledge, Coordination, and Strategic Mentalizing in Human Social Life
By: Julian De Freitas, Kyle A. Thomas, Peter DiScioli and Steven Pinker
People often coordinate for mutual gain, such as keeping to opposite sides of a stairway, dubbing an object or place with a name, or assembling en masse to protest a regime. Because successful coordination requires complementary choices, these opportunities raise the... View Details
De Freitas, Julian, Kyle A. Thomas, Peter DiScioli, and Steven Pinker. "Common Knowledge, Coordination, and Strategic Mentalizing in Human Social Life." Proceedings of the National Academy of Sciences 116, no. 28 (July 9, 2019).
- 2006
- Working Paper
Where Do Transactions Come From? A Network Design Perspective on the Theory of the Firm
By: Carliss Y. Baldwin and Kim B. Clark
Baldwin, Carliss Y., and Kim B. Clark. "Where Do Transactions Come From? A Network Design Perspective on the Theory of the Firm." Harvard Business School Working Paper, No. 06-051, May 2006.
- 29 Mar 2019
- Interview
Integrating Theory into Your Organization: Black Duck by Synopsys
By: Lou Shipley
The Disruptive Voice hits the road, heading to BlackDuck by Synopsys headquarters in Burlington, MA. We sit down with Lou Shipley (CEO), Patrick Carey (Director of Product Marketing), and Tim Kenny (VP of Culture) to hear how Competing Against Luck became a company... View Details
Keywords: Innovation; Company Culture; Disruption; Innovation and Invention; Disruptive Innovation; Technology; Organizational Culture
"Integrating Theory into Your Organization: Black Duck by Synopsys." no. 31, The Disruptive Voice, HBS Forum on Growth and Innovation, March 29, 2019.
- Article
Faithful and Customizable Explanations of Black Box Models
By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec
As predictive models increasingly assist human experts (e.g., doctors) in day-to-day decision making, it is crucial for experts to be able to explore and understand how such models behave in different feature subspaces in order to know if and when to trust them. To... View Details
Lakkaraju, Himabindu, Ece Kamar, Rich Caruana, and Jure Leskovec. "Faithful and Customizable Explanations of Black Box Models." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2019).
- 2009
- Chapter
Position and Emotion: The Significance of Georg Simmel's Structural Theories for Leadership and Organizational Behavior
By: Rosabeth Moss Kanter and Rakesh Khurana
Kanter, Rosabeth Moss, and Rakesh Khurana. "Position and Emotion: The Significance of Georg Simmel's Structural Theories for Leadership and Organizational Behavior." In Oxford Handbook of Sociology and Organization Studies, edited by Paul S. Adler. Oxford, U.K.: Oxford University Press, 2009.
- Research Summary
Market Triads: A Theoretical and Empirical Analysis of Market Intermediation (Journal for the Theory of Social Behavior, June 2002)
By: Rakesh Khurana
This paper examines the role of executive search firms in CEO search. The paper argues that the numerical shift from two party market transactions (e.g. buyers and sellers) to three party transactions (e.g. buyers, sellers, and third party) transforms market exchanges... View Details
- November 2012
- Article
The Organization of Firms Across Countries
By: Nicholas Bloom, Raffaella Sadun and John Van Reenen
We argue that social capital as proxied by trust increases aggregate productivity by affecting the organization of firms. To do this we collect new data on the decentralization of investment, hiring, production, and sales decisions from Corporate Headquarters to local... View Details
Keywords: Decentralization; Social Capital; Theory Of The Firm; Firm Objectives, Organization, And Behavior; Business Economics; Management Of Technological Innovation And R＆D; Technological Change: Choices And Consequences; Diffusion Processes; Organizational Structure; Performance Productivity; Trust; Technology Adoption; Multinational Firms and Management
Bloom, Nicholas, Raffaella Sadun, and John Van Reenen. "The Organization of Firms Across Countries." Quarterly Journal of Economics 127, no. 4 (November 2012). (Slides from 2008, Harvard Business School Working Paper, No. 12-005, August 2011.)
- Book Review
Book Review of Theory and Research on Small Groups edited by R. Scott Tindale et al.
By: Amy C. Edmondson
Edmondson, Amy C. "Book Review of Theory and Research on Small Groups edited by R. Scott Tindale et al." Administrative Science Quarterly 45, no. 3 (September 2000).
- July 1981
- Article
On Market Timing and Investment Performance Part I: An Equilibrium Theory of Value for Market Forecasts
By: Robert C. Merton
Merton, Robert C. "On Market Timing and Investment Performance Part I: An Equilibrium Theory of Value for Market Forecasts." Journal of Business 54, no. 3 (July 1981): 363–406.
- 2019
- Working Paper
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Harvard Business School Working Paper, No. 18-064, January 2018. (Revised May 2019.)
- 2017
- Working Paper
The Need for Speed: Effects of Uncertainty Reduction in Patenting
By: Mike Horia Teodorescu
Patents are essential in commerce to establish property rights for ideas and to give equal protection to firms that develop new technologies. Young firms especially depend on the protection of intellectual property to bring a product from concept to market. However,... View Details
- Article
Statistical Physics of Human Cooperation
By: Matjaž Perc, Jillian J. Jordan, David G. Rand, Zhen Wang, Stefano Boccaletti and Attila Szolnoki
Extensive cooperation among unrelated individuals is unique to humans, who often sacrifice personal benefits for the common good and work together to achieve what they are unable to execute alone. The evolutionary success of our species is indeed due, to a large... View Details
Keywords: Human Cooperation; Evolutionary Game Theory; Public Goods; Reward; Punishment; Tolerance; Self-organization; Pattern Formation; Cooperation; Behavior; Game Theory
Perc, Matjaž, Jillian J. Jordan, David G. Rand, Zhen Wang, Stefano Boccaletti, and Attila Szolnoki. "Statistical Physics of Human Cooperation." Physics Reports 687 (May 8, 2017): 1–51.
- Article
Learning Through Noticing: Theory and Evidence from a Field Experiment
By: Rema Hanna, Sendhil Mullainathan and Joshua Schwartzstein
We consider a model of technological learning under which people "learn through noticing": they choose which input dimensions to attend to and subsequently learn about from available data. Using this model, we show how people with a great deal of experience may... View Details
Hanna, Rema, Sendhil Mullainathan, and Joshua Schwartzstein. "Learning Through Noticing: Theory and Evidence from a Field Experiment." Quarterly Journal of Economics 129, no. 3 (August 2014): 1311–1353. (Online Appendix.)
- 11 Feb 2019
- Blog Post
John Bracaglia, MBA 2020: “I Want to Find the Machine Learning Strategy That Avoids the Pitfalls While Fulfilling the Promise.”
technologies,” he says, “but maybe, too often, we overlook human behavior.” Upon graduation, Bracaglia’s internship at Google segued into a full-time position working within YouTube. “Google is the world’s largest machine learning... View Details
- 2021
- Working Paper
First Law of Motion: Influencer Video Advertising on TikTok
By: Jeremy Yang, Juanjuan Zhang and Yuhan Zhang
This paper engineers an intuitive feature that is predictive of the causal effect of influencer video advertising on product sales. We propose the concept of m-score, a summary statistic that captures the extent to which a product is advertised in the most engaging... View Details
Keywords: Influencer Advertising; Video Advertising; Computer Vision; Machine Learning; Advertising; Online Technology
Yang, Jeremy, Juanjuan Zhang, and Yuhan Zhang. "First Law of Motion: Influencer Video Advertising on TikTok." Working Paper, March 2021.
- 2025
- Working Paper
Prices and Concentration: A U-shape? Theory and Evidence from Renewables
By: Michele Fioretti, Junnan He and Jorge Tamayo
We show that when firms compete via supply functions, transferring high-cost
capacity to the largest, most efficient firm—thereby diversifying its production technologies
while increasing concentration—can lower prices by prompting the leader
to expand output and... View Details
Keywords: Diversified Production Technologies; Concentration Levels; Market Power; Supply Function Equilibrium; Hydropower; Energy Transition; Renewable Energy; Price; Competition; Supply and Industry; Energy Industry; Colombia
Fioretti, Michele, Junnan He, and Jorge Tamayo. "Prices and Concentration: A U-shape? Theory and Evidence from Renewables." Harvard Business School Working Paper, No. 25-049, April 2025.
- October 2017
- Article
The Size of the LGBT Population and the Magnitude of Anti-Gay Sentiment Are Substantially Underestimated
By: Katherine Baldiga Coffman, Lucas C. Coffman and Keith M. Marzilli Ericson
We demonstrate that widely used measures of anti-gay sentiment and the size of the LGBT population are misestimated, likely substantially. In a series of online experiments using a large and diverse but non-representative sample, we compare estimates from the standard... View Details
Keywords: LGBTQ; Social Trends ＆ Culture; Economic Theory; Prejudice; Prejudice and Bias; Diversity; Economics; Demographics
Coffman, Katherine Baldiga, Lucas C. Coffman, and Keith M. Marzilli Ericson. "The Size of the LGBT Population and the Magnitude of Anti-Gay Sentiment Are Substantially Underestimated." Management Science 63, no. 10 (October 2017): 3168–3186.
- January 2024 (Revised February 2024)
- Case
Data-Driven Denim: Financial Forecasting at Levi Strauss
By: Mark Egan
The case examines Levi Strauss’ journey in implementing machine learning and AI into its financial forecasting process. The apparel company partnered with the IT company Wipro in 2017 to develop a machine learning algorithm that could help Levi Strauss forecast its... View Details
Keywords: Investor Relations; Forecasting; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Digital Transformation; Apparel and Accessories Industry; United States
Egan, Mark. "Data-Driven Denim: Financial Forecasting at Levi Strauss." Harvard Business School Case 224-029, January 2024. (Revised February 2024.)