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Show Results For
- All HBS Web
(5,801)
- People (4)
- News (1,257)
- Research (3,428)
- Events (83)
- Multimedia (189)
- Faculty Publications (2,840)
- 14 Jun 2025
- Video
Right Kind of Wrong: The Science of Failing Well
- 19 May 2021
- HBS Seminar
Rocco Macchiavello, London School of Economics and Political Science
- 02 Dec 2020
- HBS Seminar
Oriana Bandiera, London School of Economics and Political Science
- 2010
- Book
The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance
By: Marshall Fisher and Ananth Raman
Retailers today are drowning in data but lacking in insight: They have huge volumes of information at their disposal. But they're unsure of how to sort through it and use it to make smart decisions. The result? They're struggling with profit-sapping supply chain... View Details
Keywords: Profit; Knowledge Use and Leverage; Logistics; Supply Chain Management; Mathematical Methods; Retail Industry
Fisher, Marshall, and Ananth Raman. The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance. Harvard Business Press, 2010.
Build the Life You Want: The Art and Science of Getting Happier
In Build the Life You Want, Arthur C. Brooks and Oprah Winfrey invite you to begin a journey toward greater happiness no matter how challenging your circumstances. Drawing on cutting-edge science and their years of helping people translate... View Details
- April 2022
- Teaching Note
Shanghai Pudong Science and Technology Investment Co., Ltd.: December 2014
By: Josh Lerner
Teaching Note for HBS Case No. 822-111. View Details
- December 1988
- Case
Monsanto Co.: Control of R&D at the Animal Sciences Division
Merchant, Kenneth A. "Monsanto Co.: Control of R&D at the Animal Sciences Division." Harvard Business School Case 189-091, December 1988.
- March 2022 (Revised January 2025)
- Technical Note
Prediction & Machine Learning
By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional... View Details
Keywords: Machine Learning; Data Science; Learning; Analytics and Data Science; Performance Evaluation; AI and Machine Learning
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Prediction & Machine Learning." Harvard Business School Technical Note 622-101, March 2022. (Revised January 2025.)
- 06 Mar 2020
- HBS Seminar
Wei Yang Tham, LISH, Laboratory for Innovation Science at Harvard
- 25 Mar 2011
- HBS Seminar
David Weitz, Harvard University, School of Engineering and Applied Sciences
- 01 Feb 2002
- News
As the Future Catches You
Life Science Project at HBS, believes that the future will be defined by the genomic revolution and that world history today is at a fundamental turning point. Combined with advances and developments in other fields, the human experience,... View Details
- 31 Oct 2019
- Blog Post
5 Things on My Mind in the Second Year of the MS/MBA: Engineering Sciences Program
engineering quite yet. I chose Harvard’s MS/MBA: Engineering Sciences Program because of its interdisciplinary approach to bridge the gap between engineering and business. I saw that the program consisted of not only engineering and... View Details
- August 2018 (Revised September 2018)
- Supplement
Predicting Purchasing Behavior at PriceMart (B)
By: Srikant M. Datar and Caitlin N. Bowler
Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details
Keywords: Data Science; Analytics and Data Science; Analysis; Customers; Household; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (B)." Harvard Business School Supplement 119-026, August 2018. (Revised September 2018.)
- August 2018 (Revised September 2018)
- Case
Predicting Purchasing Behavior at PriceMart (A)
By: Srikant M. Datar and Caitlin N. Bowler
This case follows VP of Marketing, Jill Wehunt, and analyst Mark Morse as they tackle a predictive analytics project to increase sales in the Mom & Baby unit of a nationally recognized retailer, PriceMart. Wehunt observed that in the midst of the chaos that surrounded... View Details
Keywords: Data Science; Analytics and Data Science; Analysis; Consumer Behavior; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (A)." Harvard Business School Case 119-025, August 2018. (Revised September 2018.)