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(2,882)
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- Faculty Publications (1,425)
Show Results For
- All HBS Web
(2,882)
- News (476)
- Research (2,210)
- Events (43)
- Multimedia (14)
- Faculty Publications (1,425)
- 01 Aug 2011
- News
Reforming Health Care Systems
- 23 Aug 2013
- Working Paper Summaries
Waves in Ship Prices and Investment
Keywords: by Robin Greenwood & Samuel Hanson
- December 2012
- Article
Behavioral Ethics: Toward a Deeper Understanding of Moral Judgment and Dishonesty
By: Max Bazerman and Francesca Gino
Early research and teaching on ethics focused on either a moral development perspective or philosophical approaches, and used a normative approach by focusing on the question of how people should act when resolving ethical dilemmas. In this paper, we briefly describe... View Details
Keywords: Ethical Decision Making; Corruption; Unethical Behavior; Behavioral Decision Research; Behavior; Ethics
Bazerman, Max, and Francesca Gino. "Behavioral Ethics: Toward a Deeper Understanding of Moral Judgment and Dishonesty." Annual Review of Law and Social Science 8 (December 2012): 85–104.
- 1994
- Article
Three-dimensional Finite Element Modeling of a Cervical Vertebra: An Investigation of Burst Fracture Mechanism
By: Kevin J. Bozic, J H Keyak, H B Skinner, H U Bueff and David Bradford
Finite element modeling was used to study the mechanical behavior of a cervical vertebra under axial compressive loading. A three-dimensional (3-D) finite element (FE) model of a mid-cervical vertebra using inhomogeneous material properties was generated from... View Details
- May 2012
- Article
Complicated Firms
By: Lauren Cohen and Dong Lou
We exploit a novel setting in which the same piece of information affects two sets of firms: one set of firms requires straightforward processing to update prices, while the other set requires more complicated analyses to incorporate the same piece of information into... View Details
Keywords: Investment Portfolio; Information; Price; Forecasting and Prediction; Complexity; Mathematical Methods
Cohen, Lauren, and Dong Lou. "Complicated Firms." Journal of Financial Economics 104, no. 2 (May 2012). (Winner of Istanbul Stock Exchange 25th Anniversary Best Paper Competition. First Prize presented by Istanbul Stock Exchange. Winner of Center for Research in Security Prices Forum. Best Paper Prize presented by University of Chicago Booth School of Business. Winner of Paul Woolley Centre for the Study of Capital Market Dysfunctionality. Academic Grant presented by Paul Woolley Centre for the Study of Capital Market Dysfunctionality. Winner of Crowell Memorial Prize For the best paper on quantitative investing presented by PanAgora Asset Management, Inc.)
- 26 Nov 2018
- Working Paper Summaries
Demand Estimation in Models of Imperfect Competition
Keywords: by Alexander MacKay and Nathan H. Miller
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data,... View Details
- July 2019
- Article
Using Behavioral Science to Inform the Design of Sugary Drink Portion Limit Policies: Reply to Wilson and Stolarz-Fantino (2018)
By: Leslie John, Grant E. Donnelly and Christina A. Roberto
In their commentary, Wilson & Stolarz-Fantino argue that specific design features of our research mean that it cannot have policy implications and that researchers “need to consider profit maximization in menu design or studies are likely to suggest ill-informed... View Details
John, Leslie, Grant E. Donnelly, and Christina A. Roberto. "Using Behavioral Science to Inform the Design of Sugary Drink Portion Limit Policies: Reply to Wilson and Stolarz-Fantino (2018)." Psychological Science 30, no. 7 (July 2019): 1103–1105.
- 09 Nov 2016
- News
Blindsided by Trump’s Victory? Behavioral Science Explains
- 08 Nov 2018
- Cold Call Podcast
Could Big Data Replace the Creative Director at the Gap?
- 05 Jun 2018
- News
HBS Scaling Expert On Finding The Next Bezos, Zuckerberg
- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details
Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization
Huang, Ta-Wei, Eva Ascarza, and Ayelet Israeli. "Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization." Harvard Business School Working Paper, No. 24-076, June 2024.
- 2019
- Article
Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights
By: Maryam Ghasemaghaei and Goran Calic
Grounded in gestalt insight learning theory and organizational learning theory, we collected data from 280 middle and top-level managers to investigate the impact of each big data characteristic (i.e., data volume, data velocity, data variety, and data veracity) on... View Details
Ghasemaghaei, Maryam, and Goran Calic. "Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights." Journal of Business Research 104 (2019): 69–84.
- 2009
- Working Paper
Stock Price Fragility
By: Robin Greenwood and David Thesmar
We investigate the relationship between ownership structure of financial assets and non-fundamental risk. An asset is fragile if its owners collectively have to buy or sell. Such assets are susceptible to non-fundamental price movements. An asset can be fragile because... View Details
Keywords: Financial Liquidity; Stocks; Price; Market Transactions; Ownership; Risk and Uncertainty; United States
Greenwood, Robin, and David Thesmar. "Stock Price Fragility." Harvard Business School Working Paper, No. 10-031, October 2009.
- 2007
- Working Paper
The Ethical Mirage: A Temporal Explanation as to Why We Aren't as Ethical as We Think We Are
By: Ann E. Tenbrunsel, Kristina A. Diekmann, Kimberly A. Wade-Benzoni and Max H. Bazerman
This paper explores the biased perceptions that people hold of their own ethicality. We argue that the temporal trichotomy of prediction, action and evaluation is central to these misperceptions: People predict that they will behave more ethically than they actually... View Details
Keywords: Forecasting and Prediction; Ethics; Behavior; Cognition and Thinking; Perception; Prejudice and Bias
Tenbrunsel, Ann E., Kristina A. Diekmann, Kimberly A. Wade-Benzoni, and Max H. Bazerman. "The Ethical Mirage: A Temporal Explanation as to Why We Aren't as Ethical as We Think We Are." Harvard Business School Working Paper, No. 08-012, August 2007. (revised January 2009, previously titled "Why We Aren't as Ethical as We Think We Are: A Temporal Explanation.")
- 04 Oct 2019
- Working Paper Summaries
Soul and Machine (Learning)
- 2016
- Working Paper
Through the Grapevine: Network Effects on the Design of Executive Compensation Contracts
By: Susanna Gallani
Effective design of executive compensation contracts involves choosing and weighting performance measures, as well as defining the mix between fixed and incentive-based pay components, with a view to fostering talent retention and goal congruence. The variability in... View Details
Keywords: Compensation Design; Board Interlocks; Compensation Consultants; Network Centrality; Homophily; Quadratic Assignment Procedure; Blockholders; Executive Compensation
Gallani, Susanna. "Through the Grapevine: Network Effects on the Design of Executive Compensation Contracts." Harvard Business School Working Paper, No. 16-019, August 2015. (Revised December, 2016.)
- February 2013
- Case
Recorded Future: Analyzing Internet Ideas About What Comes Next
Recorded Future is a "big data" startup company that uses Internet data to make predictions about events, people, and entities. The company primarily serves government intelligence agencies, but has some private sector clients and is considering taking on more. The... View Details
Keywords: Big Data; Analytics; Internet; Analytics and Data Science; Internet and the Web; Entrepreneurship; Forecasting and Prediction; Business Startups; Information Technology Industry
Davenport, Thomas H. "Recorded Future: Analyzing Internet Ideas About What Comes Next." Harvard Business School Case 613-083, February 2013.
- 27 Feb 2019
- Working Paper Summaries