Filter Results
:
(125)
Show Results For
-
All HBS Web
(669)
- Faculty Publications (125)
Show Results For
-
All HBS Web
(669)
- Faculty Publications (125)
Harm
→
←
Page 7 of
125
Results
- Research Summary
Business Ethics
Joshua Margolis is interested in how individuals can exercise leadership in the face of competing ethical and economic responsibilities, and how organizations can enable them to do that. In particular, how can managers and companies simultaneously advance...
View Details
- Research Summary
Creating and Consuming Brand Meaning
By: Jill J. Avery
This vibrant stream explores how managers build meaning into their brands through narrative stories, and nurture, leverage, and maintain meaning over time. It also explores how consumers use this meaning embedded in brands to construct their identities and live their...
View Details
- Forthcoming
- Article
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to...
View Details
Keywords:
Long-run Targeting;
Heterogeneous Treatment Effect;
Statistical Surrogacy;
Customer Churn;
Field Experiments;
Consumer Behavior;
Customer Focus and Relationships;
AI and Machine Learning;
Marketing Strategy
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science (forthcoming). (Pre-published online March 6, 2024.)
- Research Summary
Overview
By: Iavor I. Bojinov
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of...
View Details
- Forthcoming
- Article
The Health Risks of Generative AI-Based Wellness Apps
By: Julian De Freitas and G. Cohen
Artifcial intelligence (AI)-enabled chatbots are increasingly being used to
help people manage their mental health. Chatbots for mental health and
particularly ‘wellness’ applications currently exist in a regulatory ‘gray area’.
Indeed, most generative AI-powered...
View Details
Keywords:
AI and Machine Learning;
Well-being;
Governing Rules, Regulations, and Reforms;
Applications and Software
De Freitas, Julian, and G. Cohen. "The Health Risks of Generative AI-Based Wellness Apps." Nature Medicine (forthcoming). (Pre-published online April 29, 2024.)
- ←
- 7