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Show Results For
- All HBS Web
(5,825)
- People (4)
- News (1,259)
- Research (3,448)
- Events (84)
- Multimedia (192)
- Faculty Publications (2,864)
- 2022
- Chapter
Sustainability Science and Corporate Cleanup in Community Fields: The Translation, Resistance and Integration Process Model
By: P. Devereaux Jennings, Maggie Cascadden and Andrew J. Hoffman
Both practically and theoretically, the sustainability science and corporate operation perspectives often diverge. Overcoming this divergence requires some degree of engagement with organizational field members; not just negotiation, but on-the-ground process work to... View Details
Jennings, P. Devereaux, Maggie Cascadden, and Andrew J. Hoffman. "Sustainability Science and Corporate Cleanup in Community Fields: The Translation, Resistance and Integration Process Model." Chap. 12 in Handbook on the Business of Sustainability: The Organization, Implementation, and Practice of Sustainable Growth, edited by Gerard George, Martine Haas, Havovi Joshi, Anita McGahan, and Paul Tracey, 214–231. Edward Elgar Publishing, 2022.
- 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.)
- August 2018 (Revised April 2019)
- Case
Chateau Winery (A): Unsupervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case follows Bill Booth, marketing manager of a regional wine distributor, as he applies unsupervised learning on data about his customers’ purchases to better understand their preferences. Specifically, he uses the K-means clustering technique to identify groups... View Details
Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (A): Unsupervised Learning." Harvard Business School Case 119-023, August 2018. (Revised April 2019.)
- 2019
- Chapter
Poor Mao's Almanack? Empire, Political Economy, and the Transformation of Social Science
Reinert, Sophus A. "Poor Mao's Almanack? Empire, Political Economy, and the Transformation of Social Science." Chap. 2 in Empire and the Social Sciences: Global Histories of Knowledge, edited by Jeremy Adelman. London: Bloomsbury Academic, 2019.
- April 1996 (Revised March 1998)
- Supplement
Starlite: Confidential Instructions for S. Mason, VP of HR Health Sciences Division
By: Kathleen L. McGinn and Julia Morgan
Supplements Starlite Corp.: General Information. View Details
McGinn, Kathleen L., and Julia Morgan. "Starlite: Confidential Instructions for S. Mason, VP of HR Health Sciences Division." Harvard Business School Supplement 396-356, April 1996. (Revised March 1998.)
- 2016
- Working Paper
Innovating in Science and Engineering or 'Cashing In' on Wall Street? Evidence on Elite STEM Talent
By: Pian Shu
Using data on MIT bachelor's graduates from 1994 to 2012, this paper empirically examines the extent to which the inflow of elite talent into the financial industry affects the supply of innovators in science and engineering (S&E). I first show that finance does not... View Details
Shu, Pian. "Innovating in Science and Engineering or 'Cashing In' on Wall Street? Evidence on Elite STEM Talent." Harvard Business School Working Paper, No. 16-067, December 2015. (Revised November 2016.)
- August 2017 (Revised August 2018)
- Case
The Oakland Athletics: Strategy & Metrics for a Budget
By: Srikant M. Datar and Caitlin N. Bowler
This case considers Oakland Athletics General Manager Billy Beane’s data driven and, in baseball circles unconventional, approach to winning games over the duration of the long Major League Baseball season. Beane’s critical approach to crafting strategy within his... View Details
Keywords: Data Analysis; Metrics; Data Science; Analytics and Data Science; Analysis; Measurement and Metrics; Competitive Strategy; Organizational Culture; Sports Industry
Datar, Srikant M., and Caitlin N. Bowler. "The Oakland Athletics: Strategy & Metrics for a Budget." Harvard Business School Case 118-010, August 2017. (Revised August 2018.)
- March 1979
- Book Review
The Use, Non-Use, and Abuse of Social Science Knowledge: A Review Essay
By: Rohit Deshpandé
Deshpandé, Rohit. "The Use, Non-Use, and Abuse of Social Science Knowledge: A Review Essay." Knowledge 1, no. 1 (March 1979): 164–176.
- 10 Sep 2024
- Video
Building the Life You Want: The Art and Science of Getting Happier
- May 2013
- Teaching Plan
China Novartis Institute for Biomedical Research: Building a Sustainable, Globally Integrated Research Enterprise
By: Vicki Sato and Annelena Lobb
Sato, Vicki, and Annelena Lobb. "China Novartis Institute for Biomedical Research: Building a Sustainable, Globally Integrated Research Enterprise." Harvard Business School Teaching Plan 613-103, May 2013.
- March 2022 (Revised January 2025)
- Technical Note
Linear Regression
By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares, and how to... View Details
Keywords: Data Science; Linear Regression; Mathematical Modeling; Mathematical Methods; Analytics and Data Science
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Linear Regression." Harvard Business School Technical Note 622-100, March 2022. (Revised January 2025.)
- September 1, 2015
- Article
Should Governments Nudge Us to Make Good Choices?
By: Jon M. Jachimowicz and Sam McNerney
Jachimowicz, Jon M., and Sam McNerney. "Should Governments Nudge Us to Make Good Choices?" Scientific American Mind (September 1, 2015).
- 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