Machinery and Machining - Publications - Faculty & Research - Harvard Business School

Filter Results: (1,483)

Filter Results: (1,483)

Show Results For

← Page 4 of 1,483 Results →

February 26, 2024
Article

Making Workplaces Safer Through Machine Learning

By: Matthew S. Johnson, David I. Levine and Michael W. Toffel

Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational... View Details

Keywords: Government Experimentation; Auditing; Inspection; Evaluation; Process Improvement; Government Administration; AI and Machine Learning; Safety; Governing Rules, Regulations, and Reforms

Awards

AI/ ML Rising Star Award

By: Prithwiraj Choudhury

Winner of the AI/ML Rising Star Award at the 2021 Conference on Artificial Intelligence, Machine Learning, and Business Analytics. View Details

02 Aug 2017
Working Paper Summaries

Machine Learning Methods for Strategy Research

Keywords: by Mike Horia Teodorescu

June 1983
Teaching Note

Note on the Paper Machinery Industry, Teaching Note

By: Christopher A. Bartlett

Teaching Note for (9-383-185). View Details

Keywords: Pulp and Paper Industry

1988
Chapter

The Machine Tool Industry and Industrial Policy 1955-82

By: David J. Collis

Keywords: Machinery and Machining; Policy; Manufacturing Industry

February 2008 (Revised August 2011)
Case

Olympia Machine Company, Inc.

By: Frank V. Cespedes and Benson P. Shapiro

The management team of an industrial equipment supplier is debating the company's method of compensating salespeople. Different executives have offered different alternatives to the current method of straight salary plus expenses. Each option has different implications... View Details

Keywords: Governance Controls; Compensation and Benefits; Mission and Purpose; Salesforce Management; Motivation and Incentives; Business Strategy; Industrial Products Industry

February 2021
Tutorial

Assessing Prediction Accuracy of Machine Learning Models

By: Michael Toffel and Natalie Epstein

This video describes how to assess the accuracy of machine learning prediction models, primarily in the context of machine learning models that predict binary outcomes, such as logistic regression, random forest, or nearest neighbor models. After introducing and... View Details

Keywords: Statistics; Experiments; Forecasting and Prediction; Performance Evaluation; AI and Machine Learning

Research Summary

Making Machine Learning Robust to Adversarial Attacks

By: Himabindu Lakkaraju

The goal of this research is to ensure that machine learning models that we build and deploy are not easily susceptible to attacks by adversarial or malicious entities. View Details

2020
Working Paper

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Eva Ascarza

The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details

Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry

06 Mar 2021
News

How to Upgrade Judges with Machine Learning

December 1978 (Revised December 1985)
Case

Clairol Skin Machine (C)

By: Walter J. Salmon and Steven R. Palesy

Keywords: Beauty and Cosmetics Industry

Find at Harvard

January 2011 (Revised March 2011)
Teaching Note

The Wright Brothers and their Flying Machines (TN)

By: Tom Nicholas

Teaching Note for 811-034. View Details

Keywords: History; Air Transportation; Air Transportation Industry; United States

October 2021
Article

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Nicolas Padilla and Eva Ascarza

The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details

Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis

Find at Harvard

February 1986 (Revised June 1987)
Case

Ingersoll Milling Machine Co.

By: Robin Cooper and Robert S. Kaplan

Keywords: Manufacturing Industry

Find at Harvard

October 2003 (Revised December 2020)
Case

Globalizing Consumer Durables: Singer Sewing Machine before 1914

By: Geoffrey Jones and David Kiron

Examines the global strategy of Singer, one of the world's first multinationals, before 1914. Singer, a U.S. pioneer of the modern sewing machine, established its first foreign factory in Scotland in 1867. Investments followed in manufacturing and marketing in other... View Details

Keywords: Business History; Multinational Firms and Management; Global Strategy; Entrepreneurship; Investment; Globalization

July 1988
Supplement

LTV Aerospace and Defense: Flexible Machining Cell, Video

By: David A. Garvin

Find at Harvard

November 2023
Case

Open Source Machine Learning at Google

By: Shane Greenstein, Martin Wattenberg, Fernanda B. Viégas, Daniel Yue and James Barnett

Set in early 2023, the case exposes students to the challenges of managing open source software at Google. The case focuses on the challenges for Alex Spinelli, Vice President of Product Management for Core Machine Learning. He must set priorities for Google’s efforts... View Details

Keywords: Decision Choices and Conditions; Technological Innovation; Open Source Distribution; Strategy; AI and Machine Learning; Applications and Software; Technology Industry; United States

August 2023 (Revised December 2023)
Case

Automating Morality: Ethics for Intelligent Machines

By: Joseph L. Badaracco Jr. and Tom Quinn

As autonomy became a more significant part of modern life – most notably in autonomous vehicles (AVs), such as Teslas – ethical debates about whether and how to impart ethics to machines heated up. Utilitarians pointed out that autonomous vehicles crashed much less... View Details

Keywords: Cost vs Benefits; Judgments; Fairness; Moral Sensibility; Values and Beliefs; Cross-Cultural and Cross-Border Issues; Disruptive Innovation; Technology Adoption; Risk and Uncertainty; Cognition and Thinking; Technological Innovation; Auto Industry; Technology Industry; Africa; Asia; Europe; North and Central America; Oceania; South America

Working Paper

Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application

By: Flora Feng, Charis Li and Shunyuan Zhang

Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years featured by unique offerings from individual providers. Despite the perceived value of uniqueness, scalable quantification of visual uniqueness in P2P platforms like Airbnb has been largely... View Details

Keywords: Peer-to-peer Markets; Marketplace Matching; AI and Machine Learning; Demand and Consumers; Digital Platforms; Marketing

November 2000 (Revised April 2002)
Teaching Note

International Business Machines Corporation (A), (B), and (C) TN

By: David F. Hawkins

Teaching Note for (9-100-032), (9-100-033), and (9-100-034). View Details

Keywords: Computer Industry; Accounting Industry

←
4
5
…
74
75
→