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All HBS Web
(1,764)
- People (1)
- News (587)
- Research (854)
- Events (4)
- Multimedia (3)
- Faculty Publications (292)
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- November 2007
- Article
A Model of Consumer Learning for Service Quality and Usage
By: Raghuram Iyengar, Asim Ansari and Sunil Gupta
In many services, e.g., the wireless service industry, consumers choose a service plan based on their expected consumption. In such situations, consumers experience two forms of uncertainty. First, consumers may be uncertain about the quality of their service provider...
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Keywords:
Experience and Expertise;
Customer Value and Value Chain;
Learning;
Price;
Knowledge Use and Leverage;
Marketing Strategy;
Consumer Behavior;
Service Delivery;
Quality;
Risk and Uncertainty;
Service Industry
Iyengar, Raghuram, Asim Ansari, and Sunil Gupta. "A Model of Consumer Learning for Service Quality and Usage." Journal of Marketing Research (JMR) 44, no. 4 (November 2007): 529–544.
- 03 Jan 2017
- Research & Ideas
5 New Year's Resolutions You Can Keep (With the Help of Behavioral Science Research)
suggest that the mere provision of information on peer health behaviors can have perverse effects on one's health behavior." To learn more, see Converging to the Lowest Common Denominator in Physical Health...
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by Carmen Nobel
- 2017
- Working Paper
Discretionary Task Ordering: Queue Management in Radiological Services
By: Maria Ibanez, Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats
Work scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks...
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Keywords:
Discretion;
Scheduling;
Queue;
Healthcare;
Learning;
Experience;
Decentralization;
Delegation;
Behavioral Operations;
Operations;
Service Operations;
Service Delivery;
Performance;
Performance Effectiveness;
Performance Efficiency;
Performance Improvement;
Performance Productivity;
Decisions;
Time Management;
Cost vs Benefits;
Health Industry
Ibanez, Maria, Jonathan R. Clark, Robert S. Huckman, and Bradley R. Staats. "Discretionary Task Ordering: Queue Management in Radiological Services." Harvard Business School Working Paper, No. 16-051, October 2015. (Revised March 2017.)
- 01 Sep 2021
- Op-Ed
How Women Can Learn from Even Biased Feedback
personalities and attitudes. Contrarily, they focus more on the behaviors and accomplishments of men. To address gender bias in feedback processes, many organizations have been making changes to their internal systems such as eliminating...
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Keywords:
by Francesca Gino
- 2013
- Article
Learning and the Disappearing Association Between Governance and Returns
By: Lucian A. Bebchuk, Alma Cohen and Charles C.Y. Wang
The correlation between governance indices and abnormal returns documented for 1990–1999 subsequently disappeared. The correlation and its disappearance are both due to market participants' gradually learning to appreciate the difference between good-governance and...
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Keywords:
Corporate Governance;
Investment Return;
Operations;
Performance;
Value;
Learning;
Business Earnings;
Behavioral Finance
Bebchuk, Lucian A., Alma Cohen, and Charles C.Y. Wang. "Learning and the Disappearing Association Between Governance and Returns." Journal of Financial Economics 108, no. 2 (May 2013): 323–348. (2013 IRRCi Investor Research Award.)
- September 2006
- Article
The Speed of Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation
By: Yoella Bereby-Meyer and Alvin E. Roth
In an experiment, players ability to learn to cooperate in the repeated prisoners dilemma was substantially diminished when the payoffs were noisy, even though players could monitor one anothers past actions perfectly. In contrast, in one-time play against a succession...
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Bereby-Meyer, Yoella, and Alvin E. Roth. "The Speed of Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation." American Economic Review 96, no. 4 (September 2006): 1029–1042.
- Research Summary
Overview
I am interested in modeling learning and information processing in behavioral agents, and its financial and macroeconomic implications.
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- Summer 2020
- Article
Accelerating Innovation Through a Network of Ecosystems: What Companies Can Learn from One of the World's Largest Networks of Accelerator Labs
By: Elizabeth J. Altman and Frank Nagle
A United Nations agency with a sweeping mission and sprawling global presence may not appear to be the most likely place where companies can learn new techniques for accelerating innovation — but appearances can be deceiving. The United Nations Development Programme...
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Altman, Elizabeth J., and Frank Nagle. "Accelerating Innovation Through a Network of Ecosystems: What Companies Can Learn from One of the World's Largest Networks of Accelerator Labs." MIT Sloan Management Review 61, no. 4 (Summer 2020).
- 2022
- Working Paper
Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments
By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso
We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s...
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Chen, Fanglin, Xiao Liu, Davide Proserpio, and Isamar Troncoso. "Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments." NYU Stern School of Business Research Paper Series, July 2022.
- 2021
- Conference Presentation
An Algorithmic Framework for Fairness Elicitation
By: Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton and Zhiwei Steven Wu
We consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders....
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Jung, Christopher, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton, and Zhiwei Steven Wu. "An Algorithmic Framework for Fairness Elicitation." Paper presented at the 2nd Symposium on Foundations of Responsible Computing (FORC), 2021.
- 21 Aug 2019
- Research & Ideas
What Machine Learning Teaches Us about CEO Leadership Style
is a writer based in the Boston area. [Image: ConceptCafe] Related Reading: Will Machine Learning Make You a Better Manager? The Better Way to Forecast the Future Working Paper: CEO Behavior and Firm...
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by Michael Blanding
- 2005
- Chapter
Learning for Leadership: The 'Engineering' and 'Clinical' Approaches
Meaningful leadership development requires a deeper and more fundamental approach than is usually deployed in university classrooms and corporate training centers. It needs to incorporate difficult emotions and unconscious forces, and provide a safe place for their...
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Petriglieri, Gianpiero, and Jack D. Wood. "Learning for Leadership: The 'Engineering' and 'Clinical' Approaches." In Mastering Executive Education: How to Combine Content with Context and Emotion, edited by Paul J. Strebel and Tracy Keys, 140–154. London: Financial Times Prentice Hall, 2005.
- 2008
- Working Paper
Product Development and Learning in Project Teams: The Challenges are the Benefits
By: Amy C. Edmondson and Ingrid M. Nembhard
The value of teams in new product development (NPD) is undeniable. Both the interdisciplinary nature of the work and industry trends necessitate that professionals from different functions work together on development projects to create the highest quality product in...
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- Research Summary
Overview
My research seeks to understand and improve service integration across specialized professions and organizations. A critical idea driving my research is that work is becoming more dynamic, complex and interconnected, particularly for work that addresses difficult...
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- Article
Learning from Potentially Biased Statistics: Household Inflation Perceptions and Expectations in Argentina
By: Alberto Cavallo, Guillermo Cruces and Ricardo Perez-Truglia
When forming expectations, households may be influenced by perceived bias in the information they receive. In this paper, we study how individuals learn from potentially biased statistics using data from both a natural experiment and a survey experiment during a...
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Keywords:
Inflation Expectations;
Bayesian Estimation;
Inflation and Deflation;
Information;
Household;
Behavior;
Argentina
Cavallo, Alberto, Guillermo Cruces, and Ricardo Perez-Truglia. "Learning from Potentially Biased Statistics: Household Inflation Perceptions and Expectations in Argentina." Brookings Papers on Economic Activity (Spring 2016): 59–108.
- Article
Robust and Stable Black Box Explanations
By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani
As machine learning black boxes are increasingly being deployed in real-world applications, there
has been a growing interest in developing post hoc explanations that summarize the behaviors
of these black boxes. However, existing algorithms for generating such...
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Lakkaraju, Himabindu, Nino Arsov, and Osbert Bastani. "Robust and Stable Black Box Explanations." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020): 5628–5638. (Published in PMLR, Vol. 119.)
- 2013
- Article
The Strategic Fitness Process: A Collaborative Action Research Method for Developing Organizational Prototypes and Dynamic Capabilities
By: Michael Beer
Organizations underperform and sometimes fail because their leaders are unable to learn the unvarnished truth from relevant stakeholders about how the design and behavior of the organization is misaligned with its goals and strategy. The Strategic Fitness Process (SFP)...
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Keywords:
Organization Alignment;
Dynamic Capabilities;
Organization Design;
Organizational Prototyping;
Organizational Silence;
Organizational Learning;
Organizational Change and Adaptation;
Strategic Planning;
Organizational Design
Beer, Michael. "The Strategic Fitness Process: A Collaborative Action Research Method for Developing Organizational Prototypes and Dynamic Capabilities." Journal of Organization Design 2, no. 1 (2013).
- April 2024
- Article
Detecting Routines: Applications to Ridesharing CRM
By: Ryan Dew, Eva Ascarza, Oded Netzer and Nachum Sicherman
Routines shape many aspects of day-to-day consumption. While prior work has established the importance of habits in consumer behavior, little work has been done to understand the implications of routines—which we define as repeated behaviors with recurring, temporal...
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Keywords:
Ride-sharing;
Routine;
Machine Learning;
Customer Relationship Management;
Consumer Behavior;
Segmentation
Dew, Ryan, Eva Ascarza, Oded Netzer, and Nachum Sicherman. "Detecting Routines: Applications to Ridesharing CRM." Journal of Marketing Research (JMR) 61, no. 2 (April 2024): 368–392.
- November 5, 2021
- Article
Leaders: Stop Confusing Correlation with Causation
By: Michael Luca
We’ve all been told that correlation does not imply causation. Yet many business leaders, elected officials, and media outlets still make causal claims based on misleading correlations. These claims are too often unscrutinized, amplified, and mistakenly used to guide...
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Keywords:
Behavioral Economics;
Data Analysis;
Organizations;
Decision Making;
Analytics and Data Science;
Analysis;
Learning
Luca, Michael. "Leaders: Stop Confusing Correlation with Causation." Harvard Business Review Digital Articles (November 5, 2021).
- July 2008
- Article
Harnessing Our Inner Angels and Demons: What We Have Learned About Want/Should Conflicts and How That Knowledge Can Help Us Reduce Short-Sighted Decision Making
By: Katherine L. Milkman, Todd Rogers and Max Bazerman
Although observers of human behavior have long been aware that people regularly struggle with internal conflict when deciding whether to behave responsibly or indulge in impulsivity, psychologists and economists did not begin to empirically investigate this type of...
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Milkman, Katherine L., Todd Rogers, and Max Bazerman. "Harnessing Our Inner Angels and Demons: What We Have Learned About Want/Should Conflicts and How That Knowledge Can Help Us Reduce Short-Sighted Decision Making." Perspectives on Psychological Science 3, no. 4 (July 2008).