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- All HBS Web
(2,147)
- News (416)
- Research (1,287)
- Events (25)
- Multimedia (3)
- Faculty Publications (441)
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- September 1972 (Revised February 1984)
- Case
Blanchard Importing and Distribution Co., Inc.
By: Paul W. Marshall
Illustration of the two main types of errors resulting from use of the economic order quantity (EOQ) as a tool in production scheduling. Designed to permit class discussion to begin with a consideration of one common type of mistake, errors in calculation of the EOQ... View Details
Marshall, Paul W. "Blanchard Importing and Distribution Co., Inc." Harvard Business School Case 673-033, September 1972. (Revised February 1984.)
- Article
How to Use Heuristics for Differential Privacy
By: Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
We develop theory for using heuristics to solve computationally hard problems in differential privacy. Heuristic approaches have enjoyed tremendous success in machine learning, for which performance can be empirically evaluated. However, privacy guarantees cannot be... View Details
Neel, Seth, Aaron Leon Roth, and Zhiwei Steven Wu. "How to Use Heuristics for Differential Privacy." Proceedings of the IEEE Annual Symposium on Foundations of Computer Science (FOCS) 60th (2019).
- 2019
- Working Paper
Does Public Ownership and Accountability Increase Diversity? Evidence from IPOs
By: Rembrand Koning and John-Paul Ferguson
Does public ownership improve employment diversity? Organizational researchers theorize that increased transparency to regulators and the public should lead firms to conform to legal and social norms—but that social closure and decoupling should preserve the status... View Details
Keywords: IPO; Initial Public Offering; Employees; Diversity; Gender; Race; Entrepreneurship; United States
Koning, Rembrand, and John-Paul Ferguson. "Does Public Ownership and Accountability Increase Diversity? Evidence from IPOs." Harvard Business School Working Paper, No. 19-071, January 2019.
- 05 Jul 2006
- Working Paper Summaries
Bringing History into International Business
- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
- January 2014 (Revised December 2014)
- Case
GenapSys: Business Models for the Genome
By: Richard G. Hamermesh, Joseph B. Fuller and Matthew Preble
GenapSys, a California-based startup, was soon to release a new DNA sequencer that the company's founder, Hesaam Esfandyarpour, believed was truly revolutionary. The sequencer would be substantially less expensive—potentially costing just a few thousand dollars—and... View Details
Keywords: DNA Sequencing; Life Sciences; Business Model; Innovation & Entrepreneurship; Health Care and Treatment; Genetics; Business Strategy; Biotechnology Industry; Pharmaceutical Industry; Technology Industry; Health Industry; Medical Devices and Supplies Industry; United States
Hamermesh, Richard G., Joseph B. Fuller, and Matthew Preble. "GenapSys: Business Models for the Genome." Harvard Business School Case 814-050, January 2014. (Revised December 2014.)
- 11 Apr 2007
- Research & Ideas
Adding Time to Activity-Based Costing
companies do not need a full-fledged ERP system to get most of the benefits. The TDABC system can import data from separate systems, such as the monthly general ledger, a production scheduling system, and a... View Details
Keywords: by Sarah Jane Gilbert
- 12 Mar 2012
- Research & Ideas
Crowded at the Top: The Rise of the Functional Manager
businesses.” In 2008, companies averaged 2.9 general managers, compared to 1.6 in 1986, according to data from several surveys. The average number of functional managers reporting directly to the CEO... View Details
Keywords: by Carmen Nobel
- 2024
- Working Paper
The Cram Method for Efficient Simultaneous Learning and Evaluation
By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
Keywords: AI and Machine Learning
Jia, Zeyang, Kosuke Imai, and Michael Lingzhi Li. "The Cram Method for Efficient Simultaneous Learning and Evaluation." Working Paper, March 2024.
- November 2000
- Case
Wit Capital: Evolution of the Online Investment Bank (B)
Describes the evolution of Wit Capital from its origins as a small brewery to an online investment bank advising both small technology-based companies seeking to raise capital and large companies seeking to acquire Internet companies, as well as offering retail... View Details
Keywords: Internet and the Web; Disruptive Innovation; Service Delivery; Investment Banking; Entrepreneurship
Hallowell, Roger H., and Charles Ruberto. "Wit Capital: Evolution of the Online Investment Bank (B)." Harvard Business School Case 801-265, November 2000.
- 2021
- Working Paper
CEO Activism, Consumer Polarization, and Firm Performance
By: Young Hou and Christopher W. Poliquin
CEOs are increasingly engaging in activism on controversial social and political issues that do not directly affect their businesses. Simultaneously, the general public is increasingly polarized. We examine how CEO support for gun control after two mass shootings... View Details
Keywords: CEO Activism; Guns; Polarization; Non-market Strategy; Social Issues; Leadership; Consumer Behavior; Performance
Hou, Young, and Christopher W. Poliquin. "CEO Activism, Consumer Polarization, and Firm Performance." Harvard Business School Working Paper, No. 21-106, February 2021.
- 2020
- Book
Experimentation Works: The Surprising Power of Business Experiments
By: Stefan Thomke
Don’t fly blind. See how the power of experiments works for you. When it comes to improving customer experiences, trying out new business models, or developing new products, even the most experienced managers often get it wrong. They discover that intuition,... View Details
Keywords: Experimentation; Experiments; Market Research; Innovation and Invention; Innovation and Management; Customers; Research
Thomke, Stefan. Experimentation Works: The Surprising Power of Business Experiments. Boston, MA: Harvard Business Review Press, 2020.
- 14 Jul 2015
- First Look
First Look: July 14, 2015
Abstract—Google Flu Trends article of November 2008 heralded a new age for big data where it is possible to leverage the vast amount of data to speak for itself, without theory or expert knowledge of the... View Details
Keywords: Sean Silverthorne
- October 2016
- Case
Addicaid: Scaling a Digital Platform for Addiction Wellness and Recovery
By: Robert S. Huckman and Sarah Mehta
In 2013, Sam Frons founded Addicaid—a mobile application (app) that allowed people in addiction recovery to track their progress, check in with counselors, and connect with others in recovery programs. The app was grounded in cognitive behavioral therapy and used the... View Details
Keywords: Digital Health Interventions; Substance Use Disorder; Addiction Treatment; Addiction Recovery; Scale; Innovation; Health; Health Disorders; Health Industry; New York (city, NY)
Huckman, Robert S., and Sarah Mehta. "Addicaid: Scaling a Digital Platform for Addiction Wellness and Recovery." Harvard Business School Case 617-018, October 2016.
- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details
Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization
Huang, Ta-Wei, Eva Ascarza, and Ayelet Israeli. "Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization." Harvard Business School Working Paper, No. 24-076, June 2024.
- 2007
- Working Paper
Incompatible Assumptions: Barriers to Producing Multidisciplinary Knowledge in Communities of Scholarship
By: Corinne Bendersky and Kathleen L. McGinn
Co-locating knowledge workers from different disciplines may be a necessary but insufficient step to generating multidisciplinary knowledge. We explore the role of assumptions underlying knowledge creation within the field of organizational studies, and investigate how... View Details
Bendersky, Corinne, and Kathleen L. McGinn. "Incompatible Assumptions: Barriers to Producing Multidisciplinary Knowledge in Communities of Scholarship." Harvard Business School Working Paper, No. 08-044, December 2007.
- December 2022
- Article
Scarlet Letters: Rehabilitation Through Transgression Transparency and Personal Narrative Control
By: Erin L. Frey, Ethan Bernstein and Nick Rekenthaler
When employees commit transgressions, organizations often use tools of organizational control to prevent them from transgressing again. We investigate whether organizations can use transgression transparency to rehabilitate transgressors. Although making transgressions... View Details
Keywords: Transparency; Workplace; Transgressions; Qualitative Research; Management Practices and Processes; Organizations; Employees; Reputation; Communication
Frey, Erin L., Ethan Bernstein, and Nick Rekenthaler. "Scarlet Letters: Rehabilitation Through Transgression Transparency and Personal Narrative Control." Administrative Science Quarterly 67, no. 4 (December 2022): 968–1011. (The first two authors contributed equally to this manuscript.)
- May–June 2021
- Article
Capturing Value in Platform Business Models that Rely on User-Generated Content
By: Hemang Subramanian, Sabyasachi Mitra and Sam Ransbotham
Business models increasingly depend on inputs from outside traditional organizational boundaries. For example, platforms that generate revenue from advertising, subscription, or referral fees often rely on user-generated content (UGC). But there is considerable... View Details
Keywords: Business Model; Network Effects; Mergers and Acquisitions; Valuation; Risk and Uncertainty
Subramanian, Hemang, Sabyasachi Mitra, and Sam Ransbotham. "Capturing Value in Platform Business Models that Rely on User-Generated Content." Organization Science 32, no. 3 (May–June 2021): 804–823.
- March 2025
- Case
Metaphysic AI: Rethinking the Value of Human Expertise
By: Zoë B. Cullen, Shikhar Ghosh and Shweta Bagai
In early 2025, Thomas Graham, CEO of Metaphysic, a leading AI generative video company confronted fundamental questions about who should control digital identity in a world where AI could perfectly recreate human likeness. Founded in 2021, Metaphysic first rose to fame... View Details
Keywords: Business Model; Ethics; AI and Machine Learning; Intellectual Property; Rights; Negotiation; Motion Pictures and Video Industry; Technology Industry
Cullen, Zoë B., Shikhar Ghosh, and Shweta Bagai. "Metaphysic AI: Rethinking the Value of Human Expertise." Harvard Business School Case 825-146, March 2025.
- 2011
- Article
Scalable Detection of Anomalous Patterns With Connectivity Constraints
By: Skyler Speakman, Edward McFowland III and Daniel B. Neill
We present GraphScan, a novel method for detecting arbitrarily shaped connected clusters in graph or network data. Given a graph structure, data observed at each node, and a score function defining the anomalousness of a set of nodes, GraphScan can efficiently and... View Details