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Show Results For
- All HBS Web
(1,700)
- People (1)
- News (650)
- Research (872)
- Events (6)
- Multimedia (3)
- Faculty Publications (306)
- August 2018 (Revised April 2019)
- Supplement
Chateau Winery (B): Supervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those... View Details
Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (B): Supervised Learning." Harvard Business School Supplement 119-024, August 2018. (Revised April 2019.)
- October 2021
- Article
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Nicolas Padilla and Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.
- Web
Organizational Behavior - Faculty & Research
Conferences There are no upcoming events. More Seminars & Conferences Faculty Positions Harvard Business School seeks candidates in all fields for full time positions. Candidates with outstanding records in PhD or DBA programs are encouraged to apply. View Details
- 2020
- Working Paper
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
- January 2014
- Technical Note
Learning From Extreme Consumers
By: Jill Avery and Michael Norton
Traditional market research methods focus on understanding the average experiences of average consumers. This focus leads to gaps in our knowledge of consumer behavior and often fails to uncover insights that can drive revolutionary, rather than evolutionary... View Details
Keywords: Market Research; Ethnography; Design Thinking; Innovation; New Product Development; Research; Marketing; Consumer Behavior; Innovation and Invention
Avery, Jill, and Michael Norton. "Learning From Extreme Consumers." Harvard Business School Technical Note 314-086, January 2014.
- 01 Dec 2007
- News
Learning to Lead
Authored by Assistant Professors Boris Groysberg and Chris Marquis, the case is taught in the first-year course Leadership and Organizational Behavior (LEAD). After just a few days on the job, Keller (MBA ’05) is taken off one project and... View Details
- 01 Oct 2018
- News
Learning About Leadership
you learn what senior leadership behaviors don't work. “One thing that really didn't work was company leaderships that over-promised and under-delivered––every business has risks––and company managements... View Details
Keywords: Finance
- 03 Oct 2023
- What Do You Think?
Do Leaders Learn More From Success or Failure?
do you think? Share your thoughts in the comments below. References: Amy Edmondson, Right Kind of Wrong: The Science of Failing Well (Atria Books, 2023) Amy C. Edmondson, “Psychological Safety and Learning View Details
Keywords: by James Heskett
- December 2023
- Article
Self-Orienting in Human and Machine Learning
By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum and T. Ullman
A current proposal for a computational notion of self is a representation of one’s body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientation, a challenging... View Details
De Freitas, Julian, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum, and T. Ullman. "Self-Orienting in Human and Machine Learning." Nature Human Behaviour 7, no. 12 (December 2023): 2126–2139.
- Article
Active World Model Learning with Progress Curiosity
By: Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber and Daniel Yamins
World models are self-supervised predictive models of how the world evolves. Humans learn world models by curiously exploring their environment, in the process acquiring compact abstractions of high bandwidth sensory inputs, the ability to plan across long temporal... View Details
Kim, Kuno, Megumi Sano, Julian De Freitas, Nick Haber, and Daniel Yamins. "Active World Model Learning with Progress Curiosity." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
- Web
Shaping the Learning Environment - Christensen Center for Teaching & Learning
encourages students to take risks in the class discussion, but is dismissive of comments that deviate from standard analysis, students will adjust their expectations, and the learning environment and student View Details
- Teaching Interest
Managing Global Health: Applying Behavioral Economics to Create Impact (MBA)
Health, and development more broadly, is not something we give to people: it is something they produce themselves, interacting with supply-side and institutional factors. This course trains students to see through the lens of the end-user and to use the levers of... View Details
- Web
Research - Behavioral Finance & Financial Stability
expectations into a standard setting of price formation in which investors learn about the fundamental value of an asset and trade it. They study the interaction of diagnostic expectations with learning from... View Details
- 18 May 2016
- Research & Ideas
Unethical Amnesia: Why We Tend to Forget Our Own Bad Behavior
of such memories, and as such the unwanted memories of their dishonest behavior are obfuscated,” Kouchaki says. “However, a habit of self-reflection helps to keep such memories alive and to learn from them.”... View Details
Keywords: by Carmen Nobel
- Web
Psychology and Behavior | Working Knowledge
Psychology and Behavior Delve into key psychological and behavioral insights, from the ethical dilemmas of AI-driven vehicles to the impact of time zones in remote work. Learn... View Details
- April 2025
- Article
Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile
By: Shunyuan Zhang, Elizabeth Friedman, Kannan Srinivasan, Ravi Dhar and Xupin Zhang
Non-informational cues, such as facial expressions, can significantly influence judgments and interpersonal impressions. While past research has explored how smiling affects business outcomes in offline or in-store contexts, relatively less is known about how smiling... View Details
Keywords: Sharing Economy; Airbnb; Image Feature Extraction; Machine Learning; Facial Expressions; Prejudice and Bias; Nonverbal Communication; E-commerce; Consumer Behavior; Perception
Zhang, Shunyuan, Elizabeth Friedman, Kannan Srinivasan, Ravi Dhar, and Xupin Zhang. "Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile." Journal of Consumer Research 51, no. 6 (April 2025): 1073–1097.
- Article
Costs Without Value When Treating Pediatric Behavioral Patients in the ED
By: Marcella Jewell, Syed S. Shehab, Robert S. Kaplan, Jack Fanton and Joeli Hettler
Pediatric Emergency Department (ED) visits have greatly increased in recent years. An academic pediatric ED that annually treats about 1,000 behavioral health patients conducted a study to assess the true cost of caring for nonacute behavioral health patients. It... View Details
Jewell, Marcella, Syed S. Shehab, Robert S. Kaplan, Jack Fanton, and Joeli Hettler. "Costs Without Value When Treating Pediatric Behavioral Patients in the ED." NEJM Catalyst Innovations in Care Delivery 3, no. 2 (February 2022).
- 28 Feb 2011
- Research & Ideas
The Importance of ‘Don’t’ in Inducing Ethical Employee Behavior
In trying to encourage good moral conduct, it's common for a company to come up with a list of don'ts—wording policies such that they focus on unethical behavior employees should avoid rather than on ethical acts they should strive to... View Details
Keywords: by Carmen Nobel
- Web
Human Behavior & Decision-Making - Faculty & Research
Economy ; Airbnb ; Image Feature Extraction ; Machine Learning ; Facial Expressions ; Prejudice and Bias ; Nonverbal Communication ; E-commerce ; Consumer Behavior ; Perception Citation Read Now Related... View Details
- March 2023
- Article
Learning to Successfully Hire in Online Labor Markets
By: Marios Kokkodis and Sam Ransbotham
Hiring in online labor markets involves considerable uncertainty: which hiring choices are more likely to yield successful outcomes and how do employers adjust their hiring behaviors to make such choices? We argue that employers will initially explore the value of... View Details
Kokkodis, Marios, and Sam Ransbotham. "Learning to Successfully Hire in Online Labor Markets." Management Science 69, no. 3 (March 2023): 1597–1614.