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All HBS Web
(2,848)
- Faculty Publications (964)
- May 1979 (Revised August 2013)
- Background Note
Financial Analysis of Real Property Investments
Develops a conceptual framework for financial analysis of real estate investments, taking into consideration the necessity for baseline data, project trends, and forecast discontinuities.
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Keywords:
Forecasting and Prediction;
Investment Return;
Trends;
Real Estate Industry;
Financial Services Industry
Poorvu, William J. "Financial Analysis of Real Property Investments." Harvard Business School Background Note 379-193, May 1979. (Revised August 2013.)
- February 1978
- Case
Sierra Log Homes, Inc. (A)
Describes the history and evolution of the log home manufacturing industry, a rapidly growing embryonic industry capitalizing on the back-to-basics lifestyle changes in the United States. Focuses on one of the leading firms in the industry, but allows a discussion of...
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Keywords:
Business or Company Management;
Change Management;
Industry Structures;
Supply and Industry;
Problems and Challenges;
Business Startups;
Business Strategy;
Manufacturing Industry;
United States
Porter, Michael E. "Sierra Log Homes, Inc. (A)." Harvard Business School Case 378-195, February 1978.
- January 1978
- Background Note
Regression and Forecasting Using the AQD Package
Schleifer, Arthur, Jr. "Regression and Forecasting Using the AQD Package." Harvard Business School Background Note 178-095, January 1978.
- January 1977 (Revised July 1985)
- Case
Perkin-Elmer Instrument Division: Plans and Forecasts (Revised)
Wheelwright, Steven C. "Perkin-Elmer Instrument Division: Plans and Forecasts (Revised)." Harvard Business School Case 677-150, January 1977. (Revised July 1985.)
- 01 Jan 1977
- Conference Presentation
Short Term Natural Gas Consumption Forecasts: Optimal Use of National Weather Service Data
By: James K. Sebenius and Richard Lehman
- October 1976
- Background Note
Industry Structural Change
Presents a framework for understanding and predicting industry structural change. Examines 1) the important underlying forces causing structural change, 2) the key relationships among industry elements in the process of change, and 3) some implications of change for...
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Keywords:
Framework;
Industry Structures;
Organizational Change and Adaptation;
Organizational Structure;
Strategy;
Corporate Strategy
Porter, Michael E. "Industry Structural Change." Harvard Business School Background Note 377-051, October 1976.
- November 1974 (Revised May 1994)
- Case
Science Technology Co.
By: Thomas R. Piper
The president of a medium-sized electronics company is evaluating the financial forecasts and proposed financing program submitted by the chief financial officer. The forecasts are prepared in constant dollars, on which basis the proposed financing plan seems...
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Keywords:
Currency;
Financial Strategy;
Forecasting and Prediction;
Inflation and Deflation;
Risk and Uncertainty;
Outcome or Result;
Technology Industry;
Electronics Industry
Piper, Thomas R. "Science Technology Co." Harvard Business School Case 275-058, November 1974. (Revised May 1994.)
- January 1972
- Background Note
Note on Forecasting
By: Paul W. Marshall
Keywords:
Forecasting and Prediction
Marshall, Paul W. "Note on Forecasting." Harvard Business School Background Note 172-218, January 1972.
- Forthcoming
- Article
A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification
By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson
Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),...
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Wang, Hsin-Hsiao Scott, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow, and Caleb Nelson. "A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification." Journal of Pediatric Urology (forthcoming). (Pre-published online November 9, 2023.)
- 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...
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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.
- Forthcoming
- Article
Automatic Enrollment with a 12% Default Contribution Rate
By: John Beshears, Ruofei Guo, David Laibson, Brigitte C. Madrian and James J. Choi
We study a retirement savings plan with a default contribution rate of 12% of income, which is much higher than previously studied defaults. Twenty-five percent of employees had not opted out of this default 12 months after hire; a literature review finds that the...
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Keywords:
Retirement Savings;
Defined Contribution Retirement Plan;
Automatic Enrollment;
Retirement;
Saving;
Income;
Decision Choices and Conditions
Beshears, John, Ruofei Guo, David Laibson, Brigitte C. Madrian, and James J. Choi. "Automatic Enrollment with a 12% Default Contribution Rate." Journal of Pension Economics & Finance (forthcoming). (Pre-published online September 11, 2023.)
- Forthcoming
- Article
Canary Categories
By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that...
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Keywords:
Churn;
Churn Management;
Churn/retention;
Assortment Planning;
Retail;
Retailing;
Retailing Industry;
Preference Heterogeneity;
Assortment Optimization;
Customers;
Retention;
Consumer Behavior;
Forecasting and Prediction;
Retail Industry
Anderson, Eric, Chaoqun Chen, Ayelet Israeli, and Duncan Simester. "Canary Categories." Journal of Marketing Research (JMR) (forthcoming). (Pre-published online November 29, 2023.)
- 2024
- Article
Chatbots and Mental Health: Insights into the Safety of Generative AI
By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety...
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Keywords:
Autonomy;
Chatbots;
New Technology;
Brand Crises;
Mental Health;
Large Language Model;
AI and Machine Learning;
Behavior;
Well-being;
Technological Innovation;
Ethics
De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Journal of Consumer Psychology (2024).
- 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
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...
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- 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...
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- 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...
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- 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...
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- Forthcoming
- Article
Founder-CEO Compensation and Selection into Venture Capital-Backed Entrepreneurship
By: Michael Ewens, Ramana Nanda and Christopher Stanton
We show theoretically that a critical determinant of the attractiveness of VC-backed entrepreneurship for high-earning potential founders is the expected time to develop a startup’s initial product. This is because founder-CEOs’ cash compensation increases...
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Ewens, Michael, Ramana Nanda, and Christopher Stanton. "Founder-CEO Compensation and Selection into Venture Capital-Backed Entrepreneurship." Journal of Finance (forthcoming).