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- Faculty Publications (1,086)
Show Results For
- All HBS Web
(3,352)
- Faculty Publications (1,086)
- April 1966
- Article
A Two-Stage Forecasting Model: Exponential Smoothing and Multiple Regression
By: D. B. Crane and James R. Crotty
Keywords: Mathematical Methods
Crane, D. B., and James R. Crotty. "A Two-Stage Forecasting Model: Exponential Smoothing and Multiple Regression." Management Science 13, no. 8 (April 1966).
- Forthcoming
- Article
An AI Method to Score Celebrity Visual Potential from Human Faces
By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton
It has long been a mantra of marketing practice that, particularly in low-involvement situations, spokespeople should be physically attractive. This paper suggests there is a higher probability of gaining fame and influence (i.e., celebrity potential) than is captured... View Details
Feng, Flora, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan, and Cait Lamberton. "An AI Method to Score Celebrity Visual Potential from Human Faces." Journal of Marketing Research (JMR) (forthcoming).
- 2023
- Chapter
Analyzing Human Decisions and Machine Predictions in Bail Decision Making
By: Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig and Sendhil Mullainathan
BOOK ABSTRACT: Oriented toward the introductory student, The Inequality Reader is the essential textbook for today's undergraduate courses. The editors have assembled the most important classic and contemporary readings about how poverty and inequality are... View Details
Keywords: Equality and Inequality
Kleinberg, Jon, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig, and Sendhil Mullainathan. "Analyzing Human Decisions and Machine Predictions in Bail Decision Making." In The Inequality Reader: Contemporary and Foundational Readings in Race, Class, and Gender. 3rd edition, edited by David B. Grusky and Szonja Szelényi. Routledge, forthcoming.
- Research Summary
Business History
Walter Friedman serves as co-editor of Business History Review. He has a special interest in the history of marketing and personal selling, and is author of Birth of a Salesman: The Transformation of Selling in America (Harvard, 2004). He is also interested in the... View Details
- Article
Buying (Quality) Time Predicts Relationship Satisfaction
By: A.V. Whillans, Jessie Pow and Joe J. Gladstone
Seven studies examine the association between time-saving purchases (e.g., housecleaning and meal delivery services) and relationship satisfaction. Study 1 uses an eleven-year longitudinal panel survey to show that increases in time-saving purchases predict long-term... View Details
Whillans, A.V., Jessie Pow, and Joe J. Gladstone. "Buying (Quality) Time Predicts Relationship Satisfaction." Journal of Personality and Social Psychology (in press).
- Research Summary
Competitive Dynamics of the Textile-Apparel-Retail Channel
Janice H. Hammond established in 1991 (with Frederick H. Abernathy and John Dunlop of Harvard University and David Weil of Boston University) the Harvard Center for Textile and Apparel Research. Funding provided by the Alfred P. Sloan Foundation has supported the... View Details
- Research Summary
Conceptualizing and measuring environmental sustainability
This research involves developing clarity around the murky construct of environmental sustainability, and improving techniques to measure corporate environmental performance. My prior research in this domain includes View Details
- Research Summary
Corporate Control and Valuation
Richard S. Ruback's research and course development focus on applied corporate finance-in particular, corporate control transactions and valuation. His research on corporate control has yielded case studies on major transactions, such as the View Details
- Research Summary
Customer-Centricity as a Vehicle for Organic Growth
By: Ranjay Gulati
This body of work examines the mechanics of how firms grow profitably in commoditizing markets. Underlying the "customer-centricity" that many firms embrace today is a factor that will determine their success with this effort: enabling collaboration across... View Details
- Teaching Interest
Data Science for Managers
By: Chiara Farronato
This new course is taught as a required course in the first year MBA curriculum as of a.y. 2023-2024. It provides students with the foundations of data science to become effective data-driven managers. The course covers the basics of visualization, statistical and... View Details
- Teaching Interest
Decision Making Under Uncertainty
By: David E. Bell
Many of the decisions we face are made complicated by having uncertain consequences: how should I set my inventory when I don’t know what demand will be, should I refinance my mortgage when rates might go lower, how big a bet shall I make in a new business, and so... View Details
- Research Summary
Entrepreneurial Management
Howard H. Stevenson is researching and writing on the need for and consequences of predictability. In work designed for a managerial audience, he is examining the roles played by organizations, cultures, and ethical systems in enabling individuals to predict the... View Details
- Teaching Interest
Executive Education: Finance for Senior Executives
By: Malcolm P. Baker
Finance for Senior Executives provides the frameworks to strategically use financial resources and position your company for future success. By examining corporate finance from both internal and external perspectives, this HBS Executive Education
- Forthcoming
- Article
FinTech Lending and Cashless Payments
By: Pulak Ghosh, Boris Vallée and Yao Zeng
Borrower's use of cashless payments both improves their access to capital from FinTech lenders and predicts a lower probability of default. These relationships are stronger for cashless technologies providing more precise information, and for outflows. Cashless payment... View Details
- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming).
- Forthcoming
- Article
Imagining the Future: Memory, Simulation and Beliefs
By: Pedro Bordalo, Giovanni Burro, Katherine B. Coffman, Nicola Gennaioli and Andrei Shleifer
How do people form beliefs about novel risks, with which they have little or no experience? Motivated by survey data on beliefs about Covid we collected in 2020, we build a model based on the psychology of selective memory. When a person thinks about an event,... View Details
Bordalo, Pedro, Giovanni Burro, Katherine B. Coffman, Nicola Gennaioli, and Andrei Shleifer. "Imagining the Future: Memory, Simulation and Beliefs." Review of Economic Studies (forthcoming). (Pre-published online June 27, 2024.)
- Research Summary
Inflation, Openness, and Exchange-Rate Regimes. The Quest for Short-Term Commitment
By: Laura Alfaro
This paper further tests Romers (1993) extension of Kydland and Prescotts (1977) predictions on dynamic-inconsistency problems with regard to open economies. In a panel data set, I find that openness does not seem to play a role in the short run in restricting... View Details
- Research Summary
International Financial Integration and Entrepreneurship (joint with Andrew Charlton)
By: Laura Alfaro
We explore the relation between international financial integration and the level of entrepreneurial activity in a country. Researchers have stressed the role of new firm activity and economic dynamism on growth. Yet, the empirical effects of international capital... View Details
- Research Summary
Making Machine Learning Models Interpretable
I work on developing various tools and methodologies which can help decision makers (e.g., doctors, managers) to better understand the predictions of machine learning models. View Details
- Teaching Interest
MBA Required Curriculum—Strategy
By: Benjamin C. Esty
The objective of this course is to help students develop the skills for formulating strategy. It provides an understanding of:
- A firm's operative environment and how to sustain competitive advantage.
- How to generate superior... View Details