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Show Results For
- All HBS Web
(4,939)
- People (22)
- News (1,371)
- Research (2,728)
- Events (19)
- Multimedia (20)
- Faculty Publications (1,285)
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General Management Curriculum - Faculty & Research
General Management Overview Faculty Curriculum Awards & Honors Doctoral Students MBA Required Curriculum (FIRST YEAR) Leadership and Corporate Accountability In this course, students learn about the complex responsibilities facing... View Details
- November 2003 (Revised August 2005)
- Case
Reinventing the Automobile: General Motors' AUTOnomy Project
By: Alan D. MacCormack and Kerry Herman
Describes the history of General Motor's attempts to develop a hydrogen fuel-cell powered car. As of 2003, GM developed several prototypes of such a vehicle to demonstrate the viability of the overall concept. Many uncertainties remained, however, with respect to the... View Details
Keywords: Problems and Challenges; Management; Information Technology; Transition; Competency and Skills; Disruptive Innovation; Machinery and Machining; Auto Industry
MacCormack, Alan D., and Kerry Herman. "Reinventing the Automobile: General Motors' AUTOnomy Project." Harvard Business School Case 604-064, November 2003. (Revised August 2005.)
- June 2023
- Supplement
Social Media Background Screening at Fama Technologies (B)
By: Joseph Pacelli, Jillian Grennan and Alexis Lefort
Fama Technologies is an online screening company that uses AI to analyze job applicants' publicly available online content for signs of risk and culture fit. The case opens with Ben Mones, founder and CEO, looking to secure funding from venture firms. He is running... View Details
Keywords: Human Resources; Recruitment; Retention; Selection and Staffing; Organizational Culture; Talent and Talent Management; United States
Pacelli, Joseph, Jillian Grennan, and Alexis Lefort. "Social Media Background Screening at Fama Technologies (B)." Harvard Business School Supplement 123-086, June 2023.
- Web
Generative AI Newsletter | Baker Library
Generative AI Newsletter Generative AI is a biweekly newsletter published by Baker Library. Librarians at Baker sift through the vast amount of content being published on AI to find the most interesting and... View Details
- December 2018
- Article
Improving Resilience Among Employees High in Depression, Anxiety, and Workplace Distress
By: Allison L. Williams, Acacia C. Parks, Grace Cormier, Julia Stafford and A.V. Whillans
Depression and anxiety are costly for both employees and employers, in terms of direct medical costs as well as costs stemming from lost productive time and missed days at work. Resilience training has been shown to improve workplace functioning for employees, which... View Details
Keywords: Depression; Anxiety; Engagement; Resilience; Presenteeism; Employee Engagement; Mental Health; Employees; Emotions; Health; Internet and the Web; Performance Productivity
Williams, Allison L., Acacia C. Parks, Grace Cormier, Julia Stafford, and A.V. Whillans. "Improving Resilience Among Employees High in Depression, Anxiety, and Workplace Distress." International Journal of Management Research 9, nos. 1-2 (December 2018): 4–22.
- Web
Faculty | Information Technology
Creative Cloud Budgeting ChatGPT Edu Computer Upgrades Generative AI Tools at HBS My Requests Information Security Marketing & Communications Templates O365 SharePoint OneDrive O365 Teams Personal Devices Printing Travel Information... View Details
- October 2000 (Revised August 2001)
- Teaching Note
Alloy.com: Marketing to Generation Y TN
By: John A. Deighton
Teaching Note for (9-500-048). View Details
- 17 Apr 2018
- Working Paper Summaries
Digital Innovation with High Costs of Entry: Evidence from Software-Driven Medical Devices
- 06 Aug 2007
- Research & Ideas
High Hills, Deep Poverty: Explaining Civil War in Nepal
studies is a general phenomenon; in this sense, this approach is complementary to detailed sociological or anthropological case studies." "If people want to do something about poverty there—and it's a very poor country,"... View Details
Keywords: by Martha Lagace
- January 2018 (Revised March 2019)
- Case
Autonomous Vehicles: The Rubber Hits the Road...but When?
By: William Kerr, Allison Ciechanover, Jeff Huizinga and James Palano
The rise of autonomous vehicles has enormous implications for business and society. Despite the many headlines and significant investment in the technology by early 2019, it was still unclear when truly autonomous vehicles would be a commercial reality. Students will... View Details
Keywords: Technology Management; Artificial Intelligence; General Management; Robotics; Technological Innovation; Transportation; Disruption; Information Technology; Decision Making; AI and Machine Learning; Technology Industry; Technology Industry
Kerr, William, Allison Ciechanover, Jeff Huizinga, and James Palano. "Autonomous Vehicles: The Rubber Hits the Road...but When?" Harvard Business School Case 818-088, January 2018. (Revised March 2019.)
- 07 Jan 2019
- News
Top Ten Technology Books Of 2018
- Article
Fast Generalized Subset Scan for Anomalous Pattern Detection
By: Edward McFowland III, Skyler Speakman and Daniel B. Neill
We propose Fast Generalized Subset Scan (FGSS), a new method for detecting anomalous patterns in general categorical data sets. We frame the pattern detection problem as a search over subsets of data records and attributes, maximizing a nonparametric scan statistic... View Details
Keywords: Pattern Detection; Anomaly Detection; Knowledge Discovery; Bayesian Networks; Scan Statistics; Analytics and Data Science
McFowland III, Edward, Skyler Speakman, and Daniel B. Neill. "Fast Generalized Subset Scan for Anomalous Pattern Detection." Art. 12. Journal of Machine Learning Research 14 (2013): 1533–1561.
- October, 2022
- Article
The Economic Dynamics of Competing Power Generation Sources
By: Gunther Glenk and Stefan Reichelstein
Competing power generation sources have experienced considerable shifts in both their revenue potential and their costs in recent years. Here we introduce the concept of Levelized Profit Margins (LPM) to capture the changing unit economics of both intermittent and... View Details
Keywords: Renewable Energy; Intermittant; Cost Accounting; Profitability Analysis; Learning-by-doing; Cannibalization Effect; Energy; Environmental Management; Investment; Operations; Technological Innovation; Energy Industry; Utilities Industry; Industrial Products Industry; Manufacturing Industry; Europe; North America; South America; Africa; Asia
Glenk, Gunther, and Stefan Reichelstein. "The Economic Dynamics of Competing Power Generation Sources." Art. 112758. Renewable and Sustainable Energy Reviews 168 (October, 2022).
- 01 Dec 2017
- News
2017 in Manufacturing: The Supply Chain Goes High Tech
The globalization of manufacturing and the increased dependence on digital technology is transforming the sector and changing its competitive advantage profile. This is a long-term trend, but we are seeing its effects more clearly with... View Details
- 15 Oct 2014
- News
The Next Generation of Social Networks
- 25 May 2023
- News
Podcast: How Generative AI Changes Strategy
- Sep 2013
- Case
IBM and the Reinvention of High School (A): Proving the P-TECH Concept
This case explores the motivation behind P-TECH (a growing skills gap), how it was developed along with the challenges, and the attention generated by the unique school design. View Details
- 18 Oct 2013
- News
Google Climbs to Record High as Mobile Ads Dominate
- June 2025
- Article
Ideation with Generative AI—In Consumer Research and Beyond
By: Julian De Freitas, G. Nave and Stefano Puntoni
The use of large language models (LLMs) in consumer research is rapidly evolving, with applications including synthetic data generation, data analysis, and more. However, their role in creative ideation—a cornerstone of consumer research—remains underexplored. Drawing... View Details
De Freitas, Julian, G. Nave, and Stefano Puntoni. "Ideation with Generative AI—In Consumer Research and Beyond." Journal of Consumer Research 51, no. 1 (June 2025): 18–31.
- Mar 2020
- Conference Presentation
A New Analysis of Differential Privacy's Generalization Guarantees
By: Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Moshe Shenfeld
We give a new proof of the "transfer theorem" underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and... View Details
Jung, Christopher, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Moshe Shenfeld. "A New Analysis of Differential Privacy's Generalization Guarantees." Paper presented at the 11th Innovations in Theoretical Computer Science Conference, Seattle, March 2020.