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Show Results For
- All HBS Web
(1,917)
- People (2)
- News (215)
- Research (1,370)
- Events (15)
- Multimedia (13)
- Faculty Publications (907)
- Article
How Much Is a Reduction of Your Customers' Wait Worth? An Empirical Study of the Fast-Food Drive-Thru Industry Based on Structural Estimation Methods
In many service industries, companies compete with each other on the basis of the waiting time their customers experience, along with other strategic instruments such as the price they charge for their service. The objective of this paper is to conduct an empirical... View Details
Keywords: Customer Satisfaction; Price; Service Delivery; Mathematical Methods; Competition; Food and Beverage Industry; Service Industry
Allon, Gad, Awi Federgruen, and Margaret P. Pierson. "How Much Is a Reduction of Your Customers' Wait Worth? An Empirical Study of the Fast-Food Drive-Thru Industry Based on Structural Estimation Methods ." Manufacturing & Service Operations Management 13, no. 4 (Fall 2011).
- August 2020
- Technical Note
Comparing Two Groups: Sampling and t-Testing
This note describes sampling and t-tests, two fundamental statistical concepts. View Details
Keywords: Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Analytics and Data Science; Analysis; Surveys; Mathematical Methods
Bojinov, Iavor I., Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih, and Michael W. Toffel. "Comparing Two Groups: Sampling and t-Testing." Harvard Business School Technical Note 621-044, August 2020.
- July 2008 (Revised May 2009)
- Case
The Springfield Nor'easters: Maximizing Revenues in the Minor Leagues
By: Frank V. Cespedes, Christopher H. Lovelock and Laura Winig
The marketing director of a new minor-league baseball team must design, conduct, and then interpret survey research to determine optimal ticket pricing that will yield large attendance figures and contribute to the owner's goal of breaking even in the first year of... View Details
Keywords: Market Research; Quantitative Analysis; Consumer Marketing; Pricing Strategy; Price; Marketing Strategy; Mathematical Methods; Product Launch; Sports; Sports Industry; Massachusetts
Cespedes, Frank V., Christopher H. Lovelock, and Laura Winig. "The Springfield Nor'easters: Maximizing Revenues in the Minor Leagues." Harvard Business School Brief Case 082-510, July 2008. (Revised May 2009.)
- Web
Research Links | Baker Library | Bloomberg Center | Harvard Business School
the Corporate Image Gary Works Photograph Album Resources Research Links Films & TV Bibliography From the Director Site Credits Special Collections Search Exhibition Introduction The Founding of U.S. Steel and the Power of Public Opinion... View Details
- September 2015 (Revised March 2025)
- Technical Note
FIELD Global Capstone: Developing Customer Empathy
By: Jill Avery
The Design Thinking process begins with empathizing with potential customers. Empathizing, being aware of, interpreting, and understanding the thoughts of others, as well as being able to vicariously experience them oneself, requires the careful and deliberate study of... View Details
Keywords: Market Research; Design Thinking; Customer Behavior; Ethnography; Interviews; Surveys; A/B Testing; Experimentation; Marketing; Customer Focus and Relationships; Consumer Behavior; Demand and Consumers
Avery, Jill. "FIELD Global Capstone: Developing Customer Empathy." Harvard Business School Technical Note 316-082, September 2015. (Revised March 2025.)
- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details
Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science
Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
- 28 Feb 2020
- News
Filling the White Space
companies involved in research into psychedelic compounds for medical use. (Compass has been granted a US patent that covers a method of obtaining psilocybin to treat drug-resistant depression; the treatment... View Details
- 01 Sep 2014
- News
Book Review: Getting Beyond Yes
efficient, it is so much more powerful than the normal academic method of doing research that I will never do that again. Every time I do research, I am going to do the crowdsourcing from our alumni.”... View Details
- July 2008 (Revised May 2009)
- Teaching Note
The Springfield Nor'easters: Maximizing Revenues in the Minor Leagues (Brief Case)
By: Frank V. Cespedes, Christopher H. Lovelock and Laura Winig
Teaching Note for 2510 View Details
- 10 Jan 2005
- Research & Ideas
Motivation and the Cross-Sector Alliance
that represents the area of lowest sustainability for the partnership. Our research suggests that as the collaboration progresses, motivations gain intensity (represented with arrow #1 in Figure 2 below) and become more blended... View Details
- Winter 2017
- Article
Why Big Data Isn't Enough
By: Sen Chai and Willy C. Shih
There is a growing belief that sophisticated algorithms can explore huge databases and find relationships independent of any preconceived hypotheses. But in businesses that involve scientific research and technological innovation, this approach is misguided and... View Details
Keywords: Big Data; Science-based; Science; Scientific Research; Data Analytics; Data Science; Data-driven Management; Data Scientists; Technological Innovation; Analytics and Data Science; Mathematical Methods; Theory
Chai, Sen, and Willy C. Shih. "Why Big Data Isn't Enough." Art. 58227. MIT Sloan Management Review 58, no. 2 (Winter 2017): 57–61.
Yajun Cao
Yajun Cao is a doctoral student in Organizational Behavior (Micro) at Harvard Business School. His research focuses on emotion regulation, setbacks, and resilience, aiming to understand how individuals and groups bounce back and grow from negative events. He explores... View Details
- Web
Introduction - Option Pricing in Theory & Practice: The Nobel Prize Research of Robert C. Merton - Exhibits - Historical Collections
HBS Quick Links HBS Home MBA Executive Education Doctoral Programs Faculty and Research Alumni Publishing Site Index HBS Home Contact Us Map/Directions Option Pricing in Theory & Practice: The Nobel Prize View Details
- Web
Introduction - Option Pricing in Theory & Practice: The Nobel Prize Research of Robert C. Merton - Exhibits - Historical Collections
HBS Quick Links HBS Home MBA Executive Education Doctoral Programs Faculty and Research Alumni Publishing Site Index HBS Home Contact Us Map/Directions Option Pricing in Theory & Practice: The Nobel Prize View Details
- Teaching
Overview
Ryann has extensive teaching experience in varied instructional settings. She was appointed the Qualitative Advisor for the Harvard University Sociology Department senior thesis writers in 2015-2016, and supervised two senior thesis writers in prior years. She served... View Details
- June 2013
- Article
Opting-in: Participation Bias in Economic Experiments
By: Robert Slonim, Carmen Wang, Ellen Garbarino and Danielle Merrett
Assuming individuals rationally decide whether to participate or not to participate in lab experiments, we hypothesize several non-representative biases in the characteristics of lab participants. We test the hypotheses by first collecting survey and experimental data... View Details
Slonim, Robert, Carmen Wang, Ellen Garbarino, and Danielle Merrett. "Opting-in: Participation Bias in Economic Experiments." Journal of Economic Behavior & Organization 90 (June 2013): 43–70.
Alexandra C. Feldberg
Alexandra (Allie) Feldberg is an Assistant Professor of Business Administration in the Organizational Behavior Unit at Harvard Business School.
Professor Feldberg uses qualitative and quantitative methods to examine intersections between gender,... View Details
- Research Summary
Overview
Pushing decision authority downward and increasing employee autonomy have become watchwords for the modern organization. Leaders of contemporary organizations view efforts to replace “command and control” systems with less-hierarchical approaches to organizing as... View Details
- Research Summary
Teaching Interests
Power and Influence, Work and Organizations, Social Movements and Organizations, Qualitative Research Methods, Organizational Theory, Organizational Behavior, Leadership, Social Enterprise
View Details- 18 Jun 2024
- Research & Ideas
Central Banks Missed Inflation Red Flags. This Pricing Model Could Help.
lower them offers a strategic advantage. Cavallo coauthored the paper, forthcoming in American Economic Review: Insights, with Francesco Lippi, professor of economics at Luiss Guido Carli in Rome and a research fellow at the Einaudi... View Details