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Show Results For
-
All HBS Web
(1,285)
- People (20)
- News (192)
- Research (676)
- Events (4)
- Multimedia (11)
- Faculty Publications (289)
- 2020
- Working Paper
Strategic Foresight as Dynamic Capability: A New Lens on Knightian Uncertainty
By: J. Peter Scoblic
This paper proposes to treat strategic foresight as a dynamic capability, providing a new theoretical lens on managerial judgment. Formulating strategy under uncertainty is a central challenge facing the modern firm. Analogy is thought to help managers make sense of...
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Keywords:
Foresight;
Dynamic Capabilities;
Managerial Judgment;
Risk and Uncertainty;
Management;
Strategy
Scoblic, J. Peter. "Strategic Foresight as Dynamic Capability: A New Lens on Knightian Uncertainty." Harvard Business School Working Paper, No. 20-093, March 2020.
- 2009
- Working Paper
Performance Pressure as a Double-Edged Sword: Enhancing Team Motivation While Undermining the Use of Team Knowledge
By: Heidi K. Gardner
In this paper, I develop and empirically test the proposition that performance pressure acts as a double-edged sword for teams, providing positive effects by enhancing team motivation to achieve good results while simultaneously triggering process losses. I conducted a...
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Keywords:
Experience and Expertise;
Knowledge Use and Leverage;
Performance Effectiveness;
Performance Expectations;
Groups and Teams
Gardner, Heidi K. "Performance Pressure as a Double-Edged Sword: Enhancing Team Motivation While Undermining the Use of Team Knowledge." Harvard Business School Working Paper, No. 09-126, April 2009. (Revised January 2012.)
- October 1997 (Revised May 1998)
- Case
Decision Making at the Top: The All-Star Sports Catalog Division
By: David A. Garvin and Michael Roberto
Describes a senior management team's strategic decision-making process. The division president faces three options for redesigning the process to address several key concerns. The president has extensive quantitative and qualitative data about the process to guide him...
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Keywords:
Decision Choices and Conditions;
Management Teams;
Performance Improvement;
Planning;
Mathematical Methods;
Strategy
Garvin, David A., and Michael Roberto. "Decision Making at the Top: The All-Star Sports Catalog Division." Harvard Business School Case 398-061, October 1997. (Revised May 1998.)
- 2018
- Working Paper
Learning to Become a Taste Expert
By: Kathryn A. Latour and John A. Deighton
Evidence suggests that consumers seek to become more expert about hedonic products to enhance their enjoyment of future consumption occasions. Current approaches to becoming an expert center on cultivating an analytic mindset. In the present research the authors...
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Keywords:
Hedonic;
Wine;
Expertise;
Holistic;
Analytic;
Sensory;
Taste;
Learning;
Experience and Expertise;
Analysis;
Perception
Latour, Kathryn A., and John A. Deighton. "Learning to Become a Taste Expert." Harvard Business School Working Paper, No. 18-107, June 2018.
- Article
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju
As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by...
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Keywords:
Black Box Explanations;
Bayesian Modeling;
Decision Making;
Risk and Uncertainty;
Information Technology
Slack, Dylan, Sophie Hilgard, Sameer Singh, and Himabindu Lakkaraju. "Reliable Post hoc Explanations: Modeling Uncertainty in Explainability." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- 19 Sep 2023
- HBS Case
How Will the Tech Titans Behind ChatGPT, Bard, and LLaMA Make Money?
The dizzying explosion of generative artificial intelligence platforms has been the big business story of the past year, but how they’ll make money and how smart companies can use them wisely are the questions that will dominate the next...
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- 2019
- Article
Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading
By: Iavor I Bojinov and Neil Shephard
We define causal estimands for experiments on single time series, extending the potential outcome framework to dealing with temporal data. Our approach allows the estimation of a broad class of these estimands and exact randomization based p-values for testing causal...
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Bojinov, Iavor I., and Neil Shephard. "Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading." Journal of the American Statistical Association 114, no. 528 (2019): 1665–1682.
- 05 Jul 2006
- Working Paper Summaries
Measuring Consumer and Competitive Impact with Elasticity Decompositions
- Research Summary
Mobile web advertising: maximum entropy banner allocation
The worldwide mobile advertising market, currently $3 billion in size, is expected to grow to $20 billion by 2011. Online and mobile advertising employs two main pricing models: pay-per-click (CPC) and pay-per-impression (CPM). To date, most of the... View Details
- Article
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...
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Keywords:
CEOs;
Communication Style;
Machine Learning;
Spoken Communication;
Nonverbal Communication;
Personal Characteristics;
Analysis;
Performance
Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Strategic Management Journal 40, no. 11 (November 2019): 1705–1732.
- 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...
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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.)
- Profile
Bryan Guerra
craved a learning experience that was more immersive and interactive, and I knew that the case method would provide this advantage. Likewise, by throwing myself into this unique setting, I knew I'd be forced to apply the full breadth of...
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- 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...
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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.
- Article
Assent-maximizing Social Choice
By: Katherine A. Baldiga and Jerry R. Green
We take a decision theoretic approach to the classic social choice problem, using data on the frequency of choice problems to compute social choice functions. We define a family of social choice rules that depend on the population's preferences and on the probability...
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Keywords:
Decision Choices and Conditions;
Theory;
Measurement and Metrics;
Mathematical Methods;
Society
Baldiga, Katherine A., and Jerry R. Green. "Assent-maximizing Social Choice." Social Choice and Welfare 40, no. 2 (February 2013): 439–460.
- 2023
- Chapter
Marketing Through the Machine’s Eyes: Image Analytics and Interpretability
By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the...
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Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia. Review of Marketing Research. Emerald Publishing Limited, forthcoming.
- October 2014
- Article
The Promise of Positive Optimal Taxation: Normative Diversity and a Role for Equal Sacrifice
A prominent assumption in modern optimal tax research is that the objective of taxation is Utilitarian. I present new survey evidence that most people disagree with this assumption, preferring tax policies based at least in part on a classic alternative objective: the...
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Weinzierl, Matthew. "The Promise of Positive Optimal Taxation: Normative Diversity and a Role for Equal Sacrifice." Journal of Public Economics 118 (October 2014): 128–142. (Also NBER Working Paper Series, No. 18599.)
- April 2019 (Revised April 2021)
- Case
Wayfair
By: Jeffrey F. Rayport, Susie L. Ma and Matthew G. Preble
In 2016 Niraj Shah and Steve Conine, founders of online home goods retailer Wayfair, are faced with a decision about how to improve user experience on their e-commerce sites. A key driver of consumer interest and conversion to purchase in the home category is visual...
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Keywords:
Visual Assets;
Corporate Entrepreneurship;
Decision Making;
Business or Company Management;
Growth Management;
Innovation and Invention;
Operations;
Strategy;
Technology;
Retail Industry;
Service Industry;
United States;
Massachusetts
Rayport, Jeffrey F., Susie L. Ma, and Matthew G. Preble. "Wayfair." Harvard Business School Case 819-045, April 2019. (Revised April 2021.)
- August 2020 (Revised December 2020)
- Background Note
A Note on Ethical Analysis
By: Nien-hê Hsieh
To engage in ethical analysis is to answer such questions as “What is the right thing to do?” “What does it mean to be a good person?” “How should I live my life?” Ethical analysis, on its own, is often not adequate for doing the right thing or being a good...
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Hsieh, Nien-hê. "A Note on Ethical Analysis." Harvard Business School Background Note 321-038, August 2020. (Revised December 2020.)
- March 2022
- Article
Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models
By: Fiammetta Menchetti and Iavor Bojinov
Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless...
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Keywords:
Causal Inference;
Partial Interference;
Synthetic Controls;
Bayesian Structural Time Series;
Mathematical Methods
Menchetti, Fiammetta, and Iavor Bojinov. "Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models." Annals of Applied Statistics 16, no. 1 (March 2022): 414–435.