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Show Results For
-
All HBS Web
(2,226)
- People (3)
- News (264)
- Research (1,447)
- Events (14)
- Multimedia (13)
- Faculty Publications (851)
- Article
A Choice Prediction Competition for Market Entry Games: An Introduction
By: Ido Erev, Eyal Ert and Alvin E. Roth
A choice prediction competition is organized that focuses on decisions from experience in market entry games (http://sites.google.com/site/gpredcomp/ and http://www.mdpi.com/si/games/predict-behavior/). The competition is based on two experiments: An estimation...
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Keywords:
Experience and Expertise;
Decision Choices and Conditions;
Forecasting and Prediction;
Learning;
Market Entry and Exit;
Game Theory;
Behavior;
Competition
Erev, Ido, Eyal Ert, and Alvin E. Roth. "A Choice Prediction Competition for Market Entry Games: An Introduction." Special Issue on Predicting Behavior in Games. Games 1, no. 2 (June 2010): 117–136.
- July–August 2013
- Article
A Joint Model of Usage and Churn in Contractual Settings
By: Eva Ascarza and Bruce G.S. Hardie
As firms become more customer-centric, concepts such as customer equity come to the fore. Any serious attempt to quantify customer equity requires modeling techniques that can provide accurate multiperiod forecasts of customer behavior. Although a number of researchers...
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Keywords:
Churn;
Retention;
Contractual Settings;
Access Services;
Hidden Markov Models;
RFM;
Latent Variable Models;
Customer Value and Value Chain;
Consumer Behavior
Ascarza, Eva, and Bruce G.S. Hardie. "A Joint Model of Usage and Churn in Contractual Settings." Marketing Science 32, no. 4 (July–August 2013): 570–590.
- Article
The Similarity Heuristic
By: Daniel Read and Yael Grushka-Cockayne
Decision makers often make snap judgments using fast‐and‐frugal decision rules called cognitive heuristics. Research into cognitive heuristics has been divided into two camps. One camp has emphasized the limitations and biases produced by the heuristics; another has...
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Read, Daniel, and Yael Grushka-Cockayne. "The Similarity Heuristic." Journal of Behavioral Decision Making 24, no. 1 (January 2011): 23–46.
- 31 Jul 2014
- Research & Ideas
A Scholarly Crowd Explores Crowdsourcing
powerful than the normal academic method of doing research that I will never do that again." Whether it's called crowdsourcing or open innovation, the growth of methods...
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Keywords:
by Sean Silverthorne
Jerry R. Green
Jerry R. Green
David A. Wells Professor of Political Economy
John Leverett Professor in the University
Harvard University
Jerry Green is the John Leverett Professor in the University and the David A. Wells... View Details
- Research Summary
The Psychology of Conversation
Conversation is a profound part of the human experience. To share our ideas, thoughts, and feelings with each other, we converse face to face and remotely—via phone, email, text message, online comment boards, and in contracts. Conversations form the bedrock of our... View Details
- Web
Organizational Behavior - Doctoral
Organizational Behavior In the field of Organizational Behavior, researchers draw on the methods and concepts of psychology and sociology to examine complex organizations and the ways that people behave...
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- 2010
- Article
Hospital Performance, the Local Economy, and the Local Workforce: Findings from a U.S. National Longitudinal Study
Background: Pay-for-performance is an increasingly popular approach to improving health care quality, and the US government will soon implement pay-for-performance in hospitals nationwide. Yet hospital capacity to perform (and improve performance) likely depends on...
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Blustein, Jan, William Borden, and Melissa Valentine. "Hospital Performance, the Local Economy, and the Local Workforce: Findings from a U.S. National Longitudinal Study." PLoS Medicine 7, no. 6 (2010).
- 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.
- Web
Online Business Analytics Course | HBS Online
business problems. Meet Arjun, an HBS Online participant who took Business Analytics to better understand content creation research in his industry Arjun BhandegaonkarFilm studio executive Strengthen your analytical skills before pursuing...
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- 14 Jul 2020
- Research & Ideas
Restarting Under Uncertainty: Managerial Experiences from Around the World
or exploring new training methods such as role plays between employees to introduce safety protocols. Overall, a common theme emerging from our interviews is the attempt to deliver a highly individualized HR management approach to support...
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- 10 May 2010
- Research & Ideas
What Top Scholars Say About Leadership
Portraiture is a method of qualitative research that blurs the boundaries of aesthetics and empiricism in an effort to capture the complexity, dynamics, and subtlety of human experience and organizational...
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- 2013
- Working Paper
Applying Random Coefficient Models to Strategy Research: Testing for Firm Heterogeneity, Predicting Firm-Specific Coefficients, and Estimating Strategy Trade-Offs
By: Juan Alcacer, Wilbur Chung, Ashton Hawk and Goncalo Pacheco-de-Almeida
Although Strategy research aims to understand how firm actions have differential effects on performance, most empirical research estimates the average effects of these actions across firms. This paper promotes Random Coefficients Models (RCMs) as an ideal empirical...
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Alcacer, Juan, Wilbur Chung, Ashton Hawk, and Goncalo Pacheco-de-Almeida. "Applying Random Coefficient Models to Strategy Research: Testing for Firm Heterogeneity, Predicting Firm-Specific Coefficients, and Estimating Strategy Trade-Offs." Harvard Business School Working Paper, No. 14-022, September 2013.
- January 2008
- Background Note
Equity Options
By: Joshua Coval and Erik Stafford
The goal of this simulation is to understand the reliance of option values on volatility. When an investor trades an option, they are essentially trading volatility. Therefore, much of the focus in this lesson is on forecasting volatility. Students are able to use two...
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Keywords:
Volatility;
Forecasting and Prediction;
Stock Options;
Investment Return;
Price;
Market Transactions;
Mathematical Methods;
Value
Coval, Joshua, and Erik Stafford. "Equity Options." Harvard Business School Background Note 208-118, January 2008.
- October 2000 (Revised April 2001)
- Case
Cost of Capital at Ameritrade
By: Mark L. Mitchell and Erik Stafford
Ameritrade Holding Corp. is planning large marketing and technology investments to improve the company's competitive position in deep-discount brokerage by taking advantage of emerging economies of scale. In order to evaluate whether the strategy would generate...
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Keywords:
Developing Countries and Economies;
Asset Pricing;
Cash Flow;
Cost of Capital;
Investment;
Marketing;
Mathematical Methods;
Competition;
Information Technology;
Internet and the Web;
Financial Services Industry
Mitchell, Mark L., and Erik Stafford. "Cost of Capital at Ameritrade." Harvard Business School Case 201-046, October 2000. (Revised April 2001.)
- 20 Aug 2013
- First Look
First Look: August 20
empirically the method proposed by Arcidiacono and Miller (2011) to accommodate unobserved latent class heterogeneity using a computationally light two-step estimator. Second, we illustrate how discount factors can be estimated in a...
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Keywords:
Anna Secino
- 18 Nov 2014
- First Look
First Look: November 18
business model and analyzes how his firm evolved into a diversified business group. The research supports prevailing explanations of business groups, which identify the role of institutional voids, government policies, and contact...
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Keywords:
Sean Silverthorne
- 2023
- Other Article
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult...
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Keywords:
USPTO;
Natural Language Processing;
Classification;
Summarization;
Patent Novelty;
Patent Trolls;
Patent Enforceability;
Patents;
Innovation and Invention;
Intellectual Property;
AI and Machine Learning;
Analytics and Data Science
Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- Web
Curriculum - MBA
introduce basic concepts in biostatistics, survival analysis, machine learning, and mathematical modeling. Methods will be presented with a focus on prediction, reproducibility, and validation. Spring Term Business, Government, and the...
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- Web
Design Thinking Course | HBS Online
Certificate of Completion from HBS Online. What you earn. Overview Syllabus Enrollment Stories FAQs Apply Now Key Concepts Approach problems using structured methods of gathering observations, breaking cognitive fixedness, and generating...
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