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Show Results For
- All HBS Web
(1,543)
- People (1)
- News (274)
- Research (936)
- Events (19)
- Multimedia (6)
- Faculty Publications (771)
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- August 1976
- Case
Norman Machinery Products, Inc. (C)
Presents the estate plan worked out by the son to deal with an estate planning issue. The plan involves the use of deferred compensation employment contract with the family business, a key-man life insurance policy, and a split-dollar life insurance policy. View Details
Keywords: Machinery and Machining; Family Business; Personal Finance; Corporate Finance; Manufacturing Industry
Butters, J. Keith. "Norman Machinery Products, Inc. (C)." Harvard Business School Case 277-029, August 1976.
- Article
Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications
By: Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan MacCormack and Robert Lagerström
Existing application performance management (APM) solutions lack robust anomaly detection capabilities and root cause analysis techniques that do not require manual efforts and domain knowledge. In this paper, we develop a density-based unsupervised machine learning... View Details
Keywords: Big Data; Data Science And Analytics Management; Governance And Compliance; Organizational Systems And Technology; Anomaly Detection; Application Performance Management; Machine Learning; Enterprise Architecture; Analytics and Data Science
Elsner, Daniel, Pouya Aleatrati Khosroshahi, Alan MacCormack, and Robert Lagerström. "Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications." Proceedings of the Hawaii International Conference on System Sciences 52nd (2019): 5827–5836.
- 08 Oct 2018
- Working Paper Summaries
Developing Theory Using Machine Learning Methods
- 2022
- Working Paper
Machine Learning Models for Prediction of Scope 3 Carbon Emissions
By: George Serafeim and Gladys Vélez Caicedo
For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15... View Details
Keywords: Carbon Emissions; Climate Change; Environment; Carbon Accounting; Machine Learning; Artificial Intelligence; Digital; Data Science; Environmental Sustainability; Environmental Management; Environmental Accounting
Serafeim, George, and Gladys Vélez Caicedo. "Machine Learning Models for Prediction of Scope 3 Carbon Emissions." Harvard Business School Working Paper, No. 22-080, June 2022.
- March 1983 (Revised April 1988)
- Teaching Note
Norman Machinery Products, Inc. (C), Teaching Note
By: Henry B. Reiling
Teaching Note for (9-277-029). View Details
- March 1983 (Revised December 1988)
- Teaching Note
Norman Machinery Products, Inc. (B), Teaching Note
By: Henry B. Reiling
- Teaching Interest
Interpretability and Explainability in Machine Learning
As machine learning models are increasingly being employed to aid decision makers in high-stakes settings such as healthcare and criminal justice, it is important to ensure that the decision makers correctly understand and consequent trust the functionality of these... View Details
- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details
Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
- 01 Nov 2018
- Working Paper Summaries
Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning
- March 1983 (Revised February 1986)
- Teaching Note
Norman Machinery Products, Inc. (A), Teaching Note
By: Henry B. Reiling
- Article
Human Decisions and Machine Predictions
By: Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig and Sendhil Mullainathan
Kleinberg, Jon, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig, and Sendhil Mullainathan. "Human Decisions and Machine Predictions." Quarterly Journal of Economics 133, no. 1 (February 2018): 237–293.
- July 2012
- Case
Owen's Precision Machining
By: Ramana Nanda and James McQuade
For the second time in fourteen months, Christopher Owen, the second-generation owner of Owen's Precision Machining (OPM), found himself running out of cash. Owen wondered what he was doing wrong. How much additional money would he need to raise to get OPM through the... View Details
Keywords: Family Business; Cash Flow; Mergers and Acquisitions; Decision Making; Problems and Challenges; Business Strategy; Corporate Finance; Manufacturing Industry; Massachusetts
Nanda, Ramana, and James McQuade. "Owen's Precision Machining." Harvard Business School Case 813-036, July 2012.
- December 2023
- Article
Self-Orienting in Human and Machine Learning
By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum and T. Ullman
A current proposal for a computational notion of self is a representation of one’s body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientation, a challenging... View Details
De Freitas, Julian, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum, and T. Ullman. "Self-Orienting in Human and Machine Learning." Nature Human Behaviour 7, no. 12 (December 2023): 2126–2139.
- October 2022 (Revised December 2022)
- Case
SMART: AI and Machine Learning for Wildlife Conservation
By: Brian Trelstad and Bonnie Yining Cao
Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife... View Details
Keywords: Business and Government Relations; Emerging Markets; Technology Adoption; Strategy; Management; Ethics; Social Enterprise; AI and Machine Learning; Analytics and Data Science; Natural Environment; Technology Industry; Cambodia; United States; Africa
Trelstad, Brian, and Bonnie Yining Cao. "SMART: AI and Machine Learning for Wildlife Conservation." Harvard Business School Case 323-036, October 2022. (Revised December 2022.)
- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details
Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
- April 1980 (Revised December 1991)
- Case
Hampton Machine Tool Co.
A bank lending officer must decide whether to extend and increase a loan to a small machine tool company. Case provides sufficient data for preparation of cash budgets and pro forma financial statements in order to analyze the lending officer's problem. Other issues... View Details
Keywords: Machinery and Machining; Financing and Loans; Financial Statements; Manufacturing Industry
Mullins, David W., Jr. "Hampton Machine Tool Co." Harvard Business School Case 280-103, April 1980. (Revised December 1991.)
- June 1983
- Background Note
Note on the Paper Machinery Industry
Describes the major structural changes taking place in the paper industry in the 1970s: major oil and pulp price increases, pollution legislation, a shift in industry development from OECD countries to LDCs and NICs and the technological revolution in paper making.... View Details
Keywords: Engineering; Price; Global Strategy; Growth and Development; Industry Structures; Organizational Change and Adaptation; Pollutants; Competition; Pulp and Paper Industry
Bartlett, Christopher A. "Note on the Paper Machinery Industry." Harvard Business School Background Note 383-185, June 1983.
- November 2021 (Revised December 2021)
- Supplement
PittaRosso (B): Human and Machine Learning
By: Ayelet Israeli
This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case. View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
Israeli, Ayelet. "PittaRosso (B): Human and Machine Learning." Harvard Business School Supplement 522-047, November 2021. (Revised December 2021.)
- Research Summary
Technology and Knowledge Transfer in the Evolution of China’s Machine Industry
This work-in-progress provides a historical perspective on the role of foreign companies as providers of machinery equipment and facilitators of technology transfer in China from the last decade of the 19th century to the early 1950s. The project focuses on... View Details
- February 1987 (Revised July 1988)
- Background Note
Machine Tool Industry and Industrial Policy--1955-82
By: George C. Lodge and David J. Collis
Lodge, George C., and David J. Collis. "Machine Tool Industry and Industrial Policy--1955-82." Harvard Business School Background Note 387-145, February 1987. (Revised July 1988.)