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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

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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

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

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

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

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

December 1978 (Revised December 1985)
Case

Clairol Skin Machine (C)

By: Walter J. Salmon and Steven R. Palesy

Keywords: Beauty and Cosmetics Industry

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February 1986 (Revised June 1987)
Case

Ingersoll Milling Machine Co.

By: Robin Cooper and Robert S. Kaplan

Keywords: Manufacturing Industry

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25 Oct 2017
Research & Ideas

Will Machine Learning Make You a Better Manager?

buy, how we talk, and even how we feel—and use that to make predictions about how we’ll act next. As the field of machine learning (ML) has become increasingly mainstream, says Harvard Business School... View Details

Keywords: by Michael Blanding; Information Technology

November 1987 (Revised March 1988)
Case

Searching for Trade Remedies: The U.S. Machine Tool Industry--1983

By: David B. Yoffie

In 1983 the National Machine Tools Builder Association was predicting a declining market for the United States and rising imports. Machine tool manufacturers had to decide if they should ask the U.S. government for help, and if they did, which administrative channels... View Details

Keywords: Economic Slowdown and Stagnation; Machinery and Machining; Government and Politics; Law; Production; Business and Government Relations; Competition; Manufacturing Industry; Japan; Germany; United States

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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

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

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

2013
Case

Innovation and Development of China Machine Press in the New Century

By: F. Warren McFarlan, Ning Jia and Guo Jia

China Machine Press (CMP), founded in 1952, is a leading multi-field, multi-discipline and multimedia publishing group in China with large scale, comprehensive and specialized business that integrates paper media, audiovisual media and online media, and combines... View Details

Keywords: General Management; Organizational Structure; Strategy; China; China

February 2018 (Revised March 2018)
Case

Artificial Intelligence and the Machine Learning Revolution in Finance: Cogent Labs and the Google Cloud Platform (GCP)

By: Lauren Cohen, Christopher Malloy and William Powley

This case examines the intersection of two firms (Cogent Labs—a machine learning software firm in Tokyo; and Google, the technology infrastructure giant) attempting to exploit the benefits of artificial intelligence and machine learning in the financial services... View Details

Keywords: Technological Innovation; Finance; Growth and Development Strategy; Business Model; Applications and Software; Infrastructure; Technology Industry; Financial Services Industry

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

2018
Working Paper

Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning

By: Xiaojia Guo, Yael Grushka-Cockayne and Bert De Reyck

Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces... View Details

Keywords: Quantile Forecasts; Regression Tree; Copula; Passenger Flow Management; Data-driven Operations; Forecasting and Prediction; Data and Data Sets

June 2016 (Revised August 2019)
Case

Numenta: Inventing and (or) Commercializing AI

By: David B. Yoffie, Liz Kind and David Ben Shimol

In March 2016, Donna Dubinsky (co-founder and CEO) and Jeff Hawkins (co-founder) were struggling with a key question: Could Numenta be successful in both creating fundamental technology and building a commercial business? Located in Redwood City, CA, Numenta was... View Details

Keywords: Artificial Intelligence; Machine Intelligence; Machine Learning; Strategy; Business Model; Entrepreneurship; Information; Technological Innovation; Research; Research and Development; Information Technology; Applications and Software; Technology Adoption; Digital Platforms; Commercialization; AI and Machine Learning

November 1999 (Revised April 2002)
Case

International Business Machines Corporation (B)

By: David F. Hawkins

IBM changes pension plan from a defined benefit plan to a cash-balance plan. Teaching purpose: To understand pension accounting. View Details

Keywords: Business or Company Management; Transformation; Business Earnings; Private Sector; Personal Finance; Cash; Information Infrastructure; Taxation; Computer Industry; Accounting Industry

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