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- All HBS Web
(4,749)
- People (10)
- News (1,040)
- Research (2,896)
- Events (66)
- Multimedia (35)
- Faculty Publications (1,661)
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Field Course: Life Sciences Venture Creation - Course Catalog
HBS Course Catalog Field Course: Life Sciences Venture Creation Course Number 6756 Senior Lecturer Satish Tadikonda Fall; Q1Q2; 3.0 credits 12 Sessions Paper Click here for application due August 16. Career Focus Creating, launching View Details
- 20 May 2024
Technology Insights: A Fireside Chat with Professor Scott Kominers and Allison Ciechanover
Curious about where HBS case studies come from? Interested in understanding how the HBS curriculum sets the stage for successful tech careers? Wondering how to maximize your time as an HBS student interested in tech? Join us as we delve... View Details
- 06 Feb 2019
- Blog Post
7 Tips for a Successful Technology Venture Immersion
I grew up in a small town in southern New Hampshire and graduated from Harvard in 2014 with an Engineering Sciences SB (Bachelor of Science). After spending 22 years on the east coast, I decided to try... View Details
- 2007
- Working Paper
I'll Have the Ice Cream Soon and the Vegetables Later: A Study of Online Grocery Purchases and Order Lead Time
By: Katherine L. Milkman, Todd Rogers and Max H. Bazerman
How do decisions made for tomorrow or two days in the future differ from decisions made for several days in the future? We use data from an online grocer to address this question. In general, we find that as the delay between order completion and delivery increases,... View Details
Keywords: Internet and the Web; Food; Decision Choices and Conditions; Conflict and Resolution; Emotions; Cognition and Thinking; Food and Beverage Industry; Food and Beverage Industry
Milkman, Katherine L., Todd Rogers, and Max H. Bazerman. "I'll Have the Ice Cream Soon and the Vegetables Later: A Study of Online Grocery Purchases and Order Lead Time." Harvard Business School Working Paper, No. 07-078, April 2007. (Revised December 2007, May 2008, September 2008.)
- 16 Dec 2011
- Research & Ideas
Reintroducing Intellectual Ambition to the Study of Business History
business but also as a determinant of wealth and poverty, they will find a way back to becoming leading participants in the debates over the fundamental question of what makes an economy grow. 2. Innovation. Business historians have long... View Details
Keywords: by Geoffrey Jones & Walter Friedman
- 2019
- Working Paper
Using Technology to Augment Professionals, Instead of Replacing Them, for Innovative Problem Solving
By: Hila Lifshitz - Assaf, Felicia Ng, Aniket Kittur and Robert Kraut
While in some technological and scientific areas innovation is flourishing, in others it is stalling, leaving important problems unsolved for decades. One explanation is professionals’ limitations as problem solvers, as accumulating depth of knowledge enhances one’s... View Details
- 16 Dec 2022
- Research & Ideas
Why Technology Alone Can't Solve AI's Bias Problem
out to test, along with HBS research assistant Tom Sühr and Harvard computer science doctoral student Sophie Hilgard, in research published last year in the Proceedings of the AAAI/ACM Conference on... View Details
- March 2022 (Revised January 2025)
- Technical Note
Prediction & Machine Learning
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
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Prediction & Machine Learning." Harvard Business School Technical Note 622-101, March 2022. (Revised January 2025.)
- 29 Jun 2015
- News
Study Suggests Google Harms Consumers by Skewing Search Results
- 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.)
- March 2010
- Article
I'll Have the Ice Cream Soon and the Vegetables Later: A Study of Online Grocery Purchases and Order Lead Time
By: Katherine L. Milkman, Todd Rogers and Max Bazerman
How do decisions made for tomorrow or two days in the future differ from decisions made for several days in the future? We use data from an online grocer to address this question. In general, we find that as the delay between order completion and delivery increases,... View Details
Keywords: Time Management; Service Delivery; Internet and the Web; Decisions; Customers; Retail Industry
Milkman, Katherine L., Todd Rogers, and Max Bazerman. "I'll Have the Ice Cream Soon and the Vegetables Later: A Study of Online Grocery Purchases and Order Lead Time." Marketing Letters 21, no. 1 (March 2010): 17–35.
- April 2014 (Revised March 2015)
- Case
GE and the Industrial Internet
By: Karim R. Lakhani, Marco Iansiti and Kerry Herman
CEO Jeff Immelt considers whether GE is moving fast enough on its new Industrial Internet initiative. The undertaking includes building out an Industrial Internet, connecting machines and devices, collecting their data and operations, and providing services to clients... View Details
Keywords: Technology; Operations Management; Strategy; Big Data; Business Analysis; Corporate Strategy; Digital Technology; Digital Innovation; General Management; General Strategy; Global Competitiveness; Global Strategy; Innovation; Innovation And Management; Industrial Internet; GE; Innovation and Invention; Information Technology; Analytics and Data Science; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; North and Central America; Asia; Europe; Middle East; Latin America
Lakhani, Karim R., Marco Iansiti, and Kerry Herman. "GE and the Industrial Internet." Harvard Business School Case 614-032, April 2014. (Revised March 2015.)
- Web
Data Science for Managers 2 - Course Catalog
HBS Course Catalog Data Science for Managers 2 Course Number 2125 Senior Lecturer Michael Parzen Fall; Q2; 1.5 credits 14 Sessions (split between hands-on lab sessions and case discussion sessions) Final... View Details
- 10 Jun 2019
- Working Paper Summaries
Going Digital: Implications for Firm Value and Performance
Keywords: by Wilbur Chen and Suraj Srinivasan
- Article
Paradise Lost (and Restored?): A Study of Psychological Safety over Time
By: Derrick P. Bransby, Michaela Kerrissey and Amy C. Edmondson
Although prior research indicates that psychological safety can fluctuate, questions about when and why remain. To gain insights into the emergence and temporal dynamics of psychological safety, we explored longitudinal data representing more than 10,000 health care... View Details
Keywords: Analytics and Data Science; Research; Attitudes; Working Conditions; Well-being; Health Industry
Bransby, Derrick P., Michaela Kerrissey, and Amy C. Edmondson. "Paradise Lost (and Restored?): A Study of Psychological Safety over Time." Academy of Management Discoveries (in press). (Pre-published online March 14, 2024.)
- July 2019
- Article
Using Behavioral Science to Inform the Design of Sugary Drink Portion Limit Policies: Reply to Wilson and Stolarz-Fantino (2018)
By: Leslie John, Grant E. Donnelly and Christina A. Roberto
In their commentary, Wilson & Stolarz-Fantino argue that specific design features of our research mean that it cannot have policy implications and that researchers “need to consider profit maximization in menu design or studies are likely to suggest ill-informed... View Details
John, Leslie, Grant E. Donnelly, and Christina A. Roberto. "Using Behavioral Science to Inform the Design of Sugary Drink Portion Limit Policies: Reply to Wilson and Stolarz-Fantino (2018)." Psychological Science 30, no. 7 (July 2019): 1103–1105.
- 10 Jul 2020
- Working Paper Summaries
Making Economics More Useful: How Technological Eclecticism Could Help
Keywords: by Amar Bhidé
- Web
Undergraduate Technology Innovation Fellows Program | MBA
interdisciplinary teams. The Harvard Undergraduate Technology Innovation Fellows (HUTIF) Program, a collaborative founder development program created by the Faculty of Arts & Sciences (FAS), the Harvard John... View Details