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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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- November 1999 (Revised November 2000)
- Case
International Business Machines Corporation (C)
By: David F. Hawkins
A financial analyst is examining IBM's 1998 tax note to understand better how the company's 1998 tax note was determined. Teaching purpose: Illustrates deferred tax accounting. View Details
Keywords: History; Earnings Management; Taxation; Decision Making; Business Model; Business Earnings; Information Infrastructure; Mathematical Methods; Private Sector; Accounting Audits; Accounting Industry; Computer Industry
Hawkins, David F. "International Business Machines Corporation (C)." Harvard Business School Case 100-034, November 1999. (Revised November 2000.)
- 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
McFarlan, F. Warren, Ning Jia, and Guo Jia. "Innovation and Development of China Machine Press in the New Century." Tsinghua University Case, 2013.
- 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
Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck. "Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning." Harvard Business School Working Paper, No. 19-040, October 2018.
- 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
Hawkins, David F. "International Business Machines Corporation (B)." Harvard Business School Case 100-033, November 1999. (Revised April 2002.)
- 2023
- Chapter
Analyzing Human Decisions and Machine Predictions in Bail Decision Making
By: Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig and Sendhil Mullainathan
BOOK ABSTRACT: Oriented toward the introductory student, The Inequality Reader is the essential textbook for today's undergraduate courses. The editors have assembled the most important classic and contemporary readings about how poverty and inequality are... View Details
Keywords: Equality and Inequality
Kleinberg, Jon, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig, and Sendhil Mullainathan. "Analyzing Human Decisions and Machine Predictions in Bail Decision Making." In The Inequality Reader: Contemporary and Foundational Readings in Race, Class, and Gender. 3rd edition, edited by David B. Grusky and Szonja Szelényi. Routledge, forthcoming.
- 2013
- Teaching Note
Innovation and Development of China Machine Press in the New Century (TN)
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
McFarlan, F. Warren, Ning Jia, and Guo Jia. "Innovation and Development of China Machine Press in the New Century (TN)." Tsinghua University Teaching Note, 2013.
- February 2000 (Revised December 2000)
- Case
Coca-Cola's New Vending Machine (A): Pricing To Capture Value, or Not?
By: Charles King III and Das Narayandas
Chairman and CEO M. Douglas Ivester stumbles when he tells a Brazilian newsmagazine about a new Coke vending machine that can automatically raise prices in hot weather. Reaction around the world is swift and negative. View Details
Keywords: Price; Strategy; Brands and Branding; Marketing Strategy; Product Development; Global Range; Public Opinion; Value Creation
King, Charles, III, and Das Narayandas. "Coca-Cola's New Vending Machine (A): Pricing To Capture Value, or Not?" Harvard Business School Case 500-068, February 2000. (Revised December 2000.)
- May 2022 (Revised July 2022)
- Supplement
AWS and Amazon SageMaker (C): The Commercialization of Machine Learning Services
By: Karim R. Lakhani, Shane Greenstein and Kerry Herman
Lakhani, Karim R., Shane Greenstein, and Kerry Herman. "AWS and Amazon SageMaker (C): The Commercialization of Machine Learning Services." Harvard Business School Supplement 622-087, May 2022. (Revised July 2022.)
- May 2022
- Supplement
AWS and Amazon SageMaker (B): The Commercialization of Machine Learning Services
By: Karim R. Lakhani, Shane Greenstein and Kerry Herman
Lakhani, Karim R., Shane Greenstein, and Kerry Herman. "AWS and Amazon SageMaker (B): The Commercialization of Machine Learning Services." Harvard Business School Supplement 622-086, May 2022.
- May 2022
- Case
AWS and Amazon SageMaker (A): The Commercialization of Machine Learning Services
By: Karim R. Lakhani, Shane Greenstein and Kerry Herman
Lakhani, Karim R., Shane Greenstein, and Kerry Herman. "AWS and Amazon SageMaker (A): The Commercialization of Machine Learning Services." Harvard Business School Case 622-060, May 2022.
- January 2024
- Teaching Note
Automating Morality: Ethics for Intelligent Machines
By: Joseph L. Badaracco and Tom Quinn
- July 19, 1998
- Article
In the Grip of the Dumb Machine
By: R. S. Tedlow
Keywords: Machinery and Machining
Tedlow, R. S. "In the Grip of the Dumb Machine." Times-Picayune (July 19, 1998).
- 2022
- Working Paper
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability... View Details
Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations." Working Paper, 2022.
- Research Summary
Work, Mate, Marry, Love: How Machines Shape Our Human Destiny
By: Debora L. Spar
What will happen to our notions of marriage and parenthood as reproductive technologies increasingly allow for newfangled ways of creating babies? What will happen to our understanding of gender as medical advances enable individuals to transition from one set of... View Details
- 21 Aug 2019
- Research & Ideas
What Machine Learning Teaches Us about CEO Leadership Style
CEOs are communicators. Studies show that CEOs spend 85 percent of their time in communication-related activities, including speeches, meetings, and phone calls with people both inside and outside the firm.... View Details
Keywords: by Michael Blanding
- 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.
- 1999
- Chapter
Sengo Sewing Machine Gyoukai no Hatten to Seifu no Yakuwari (The Development of the Post-War Sewing Machine Industry and the Role of Government)
By: Satoshi Akutsu and Hirotaka Takeuchi
Akutsu, Satoshi, and Hirotaka Takeuchi. "Sengo Sewing Machine Gyoukai no Hatten to Seifu no Yakuwari (The Development of the Post-War Sewing Machine Industry and the Role of Government)." In Marketing Kakushin no Jidai 2: Seihin Kaihatsu Kakushin (The Age of Marketing Innovation 2: Product Development Innovation), by Mitsuaki Shimaguchi, Hirotaka Takeuchi, Hotaka Katahira, and Junzou Ishii. Tokyo: Yūhikaku, 1999, Japanese ed.
- August 2023
- Article
Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet models have become more complex and harder to understand. To understand complex models, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use... View Details
Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel." Nature Machine Intelligence 5, no. 8 (August 2023): 873–883.
- 2019
- Working Paper
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Harvard Business School Working Paper, No. 18-064, January 2018. (Revised May 2019.)
- Article
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
Keywords: Machine Learning; Black Box Explanations; Decision Making; Forecasting and Prediction; Information Technology
Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Perturbation and Gradient Based Explanations." Proceedings of the International Conference on Machine Learning (ICML) 38th (2021).