Filter Results
:
(1,218)
Show Results For
-
All HBS Web
(3,962)
- Faculty Publications (1,218)
Show Results For
-
All HBS Web
(3,962)
- Faculty Publications (1,218)
- 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
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
- 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.
- January 2019 (Revised October 2019)
- Case
Liulishuo: AI English Teacher
By: John J-H Kim and Shu Lin
Educators and entrepreneurs alike are excited about the potential for artificial intelligence (AI) and machine learning to change the way learning will look like in the future. There is a confluence of factors such as the availability of large sources of rich,...
View Details
Keywords:
AI;
Artificial Intelligence;
Education Technology;
Information Technology;
Education;
Entrepreneurship;
AI and Machine Learning;
Education Industry;
China
Kim, John J-H, and Shu Lin. "Liulishuo: AI English Teacher." Harvard Business School Case 319-090, January 2019. (Revised October 2019.)
- 2019
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 15 The IBM PC
The IBM PC was the first digital computer platform that was open by as a matter of strategy, not necessity. The purpose of this chapter is to understand the IBM PC as a technical system and set of organization choices in light of the theory of how technology shapes...
View Details
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 15 The IBM PC." Harvard Business School Working Paper, No. 19-074, January 2019.
- 2019
- Working Paper
Understanding Different Approaches to Benefit-Based Taxation
By: Robert Scherf and Matthew C. Weinzierl
The normative principle of benefit-based taxation has exerted substantial influence on many areas of public finance, but it has been largely set aside in the modern theoretical approach to optimal income taxation, where welfarist objectives dominate. A prerequisite for...
View Details
Scherf, Robert, and Matthew C. Weinzierl. "Understanding Different Approaches to Benefit-Based Taxation." Harvard Business School Working Paper, No. 19-070, January 2019. (Revised August 2019.)
- 2019
- Article
An Empirical Study of Rich Subgroup Fairness for Machine Learning
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
Kearns et al. [2018] recently proposed a notion of rich subgroup fairness intended to bridge the gap between statistical and individual notions of fairness. Rich subgroup fairness picks a statistical fairness constraint (say, equalizing false positive rates across...
View Details
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "An Empirical Study of Rich Subgroup Fairness for Machine Learning." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 100–109.
- Article
Faithful and Customizable Explanations of Black Box Models
By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec
As predictive models increasingly assist human experts (e.g., doctors) in day-to-day decision making, it is crucial for experts to be able to explore and understand how such models behave in different feature subspaces in order to know if and when to trust them. To...
View Details
Lakkaraju, Himabindu, Ece Kamar, Rich Caruana, and Jure Leskovec. "Faithful and Customizable Explanations of Black Box Models." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2019).
- Article
From Orientation to Behavior: The Interplay Between Learning Orientation, Open-mindedness, and Psychological Safety in Team Learning
By: Jean-François Harvey, Kevin J. Johnson, Kathryn S. Roloff and Amy C. Edmondson
Do teams with motivation to learn actually engage in the behaviors that produce learning? Though team learning orientation has been found to be positively related to team learning, we know little about how and when it actually fosters team learning. It is obviously not...
View Details
Keywords:
Emergent States;
Goal Orientation;
Open-mindedness;
Psychological Safety;
Team Learning;
Teams;
Groups and Teams;
Learning;
Goals and Objectives
Harvey, Jean-François, Kevin J. Johnson, Kathryn S. Roloff, and Amy C. Edmondson. "From Orientation to Behavior: The Interplay Between Learning Orientation, Open-mindedness, and Psychological Safety in Team Learning." Human Relations 72, no. 11 (November 2019): 1726–1751.
- Article
Maimonides' Ladder: States of Mutual Knowledge and the Perception of Charitability
By: Julian De Freitas, Peter DiScioli, Kyle A. Thomas and Steven Pinker
Why do people esteem anonymous charitable giving? We connect normative theories of charitability
(captured in Maimonides’ Ladder of Charity) with evolutionary theories of partner choice to test predictions on how attributions of charitability are affected by states of...
View Details
Keywords:
Charity;
Reciprocity;
Partner Choice;
Common Knowledge;
Philanthropy and Charitable Giving;
Knowledge;
Perception
De Freitas, Julian, Peter DiScioli, Kyle A. Thomas, and Steven Pinker. "Maimonides' Ladder: States of Mutual Knowledge and the Perception of Charitability." Journal of Experimental Psychology: General 148, no. 1 (January 2019): 158–173.
- 2019
- Chapter
Teams and Team Effectiveness in Health Services Organizations
By: Bruce J. Fried and Amy C. Edmondson
Book Abstract: Completely updated to address the challenges faced by modern health care organizations, this edition of Shortell and Kaluzny's Health Care Management: Organization Design and Behavior offers a more global perspective on how the United States and...
View Details
Fried, Bruce J., and Amy C. Edmondson. "Teams and Team Effectiveness in Health Services Organizations." Chap. 5 in Shortell & Kaluzny's Health Care Management: Organization Design and Behavior. 7th ed., edited by Lawton Robert Burns, Elizabeth H. Bradley, and Bryan Jeffrey Weiner, 98–131. Boston, MA: Cengage Learning, 2019.
- 2019
- Article
Turning Lead into Gold: How Do Entrepreneurs Mobilize Resources to Exploit Opportunities?
By: David R. Clough, Tommy Pan Fang, Balagopal Vissa and Andy Wu
The mobilization of resources is a central and defining feature of entrepreneurship. As the body of empirical research on entrepreneurial resource mobilization has grown, the literature has become increasingly fragmented. We review the literature on entrepreneurs’...
View Details
Keywords:
Resource Mobilization;
Entrepreneurship;
Organizations;
Theory;
Research;
Strategy;
Opportunities
Clough, David R., Tommy Pan Fang, Balagopal Vissa, and Andy Wu. "Turning Lead into Gold: How Do Entrepreneurs Mobilize Resources to Exploit Opportunities?" Academy of Management Annals 13, no. 1 (2019): 240–271.
- December 2018 (Revised March 2021)
- Background Note
Modern Automation (A): Artificial Intelligence
By: William R. Kerr and James Palano
This primer is meant to be a field guide to the late 2010s' surge in business use of "Artificial Intelligence" (AI), or enterprise software based in machine learning. First, it provides an overview of the key trends—digitization, connectivity, the continuation of...
View Details
Keywords:
Artificial Intelligence;
Digitization;
Connectivity;
Computing;
Future Of Work;
Automation;
AI and Machine Learning
Kerr, William R., and James Palano. "Modern Automation (A): Artificial Intelligence." Harvard Business School Background Note 819-084, December 2018. (Revised March 2021.)
- December 2018
- Teaching Note
Autonomous Vehicles: The Rubber Hits the Road…but When?
By: William Kerr and James Palano
The autonomous vehicles have enormous implications for business and society. But, despite the headline-laden attention paid to the technology, there remain more questions than answers. Students will learn about the complex industry and have explicit discussions about...
View Details
- December 2018
- Case
Choosy
By: Jeffrey J. Bussgang and Julia Kelley
Founded in 2017, Choosy is a data-driven fashion startup that uses algorithms to identify styles trending on social media. After manufacturing similar items using a China-based supply chain, Choosy sells them to consumers through its website and social media pages....
View Details
Keywords:
Artificial Intelligence;
Algorithms;
Machine Learning;
Neural Networks;
Instagram;
Influencer;
Fast Fashion;
Design;
Customer Satisfaction;
Customer Focus and Relationships;
Decision Making;
Cost vs Benefits;
Innovation and Invention;
Brands and Branding;
Product Positioning;
Demand and Consumers;
Supply Chain;
Production;
Logistics;
Business Model;
Expansion;
Internet and the Web;
Mobile and Wireless Technology;
Digital Platforms;
Social Media;
Technology Industry;
Fashion Industry;
North and Central America;
United States;
New York (state, US);
New York (city, NY)
- November 2018
- Case
Yatooq: Longing for Arabic Coffee
By: Mark Roberge, Gamze Yucaoglu and Samer Al-Rachedy
As one of the few female entrepreneurs in Saudi Arabia, Lateefa Alwaalan had been trying to produce the perfect cup of Arabic coffee for over a decade. In 2007, she began testing various coffee blends, which she later branded Yatooq, the Arabic word for “craving” or...
View Details
Keywords:
Entrepreneurial Sales;
Entrepreneurial Selling;
Entrepreneurial Marketing;
Barrier To Entry;
Business Start-ups;
Yatooq;
Entrepreneurship;
Private Sector;
For-Profit Firms;
Business Strategy;
Patents;
Business Startups;
Strategic Planning;
Competitive Strategy;
Adaptation;
Corporate Entrepreneurship;
Corporate Strategy;
Food and Beverage Industry;
Saudi Arabia;
Asia
Roberge, Mark, Gamze Yucaoglu, and Samer Al-Rachedy. "Yatooq: Longing for Arabic Coffee." Harvard Business School Case 819-075, November 2018.
- Article
Optimality Bias in Moral Judgment
By: Julian De Freitas and Samuel G.B. Johnson
We often make decisions with incomplete knowledge of their consequences. Might people nonetheless expect others to make optimal choices, despite this ignorance? Here, we show that people are sensitive to moral optimality: that people hold moral agents accountable...
View Details
Keywords:
Moral Judgment;
Lay Decision Theory;
Theory Of Mind;
Causal Attribution;
Moral Sensibility;
Decision Making
De Freitas, Julian, and Samuel G.B. Johnson. "Optimality Bias in Moral Judgment." Journal of Experimental Social Psychology 79 (November 2018): 149–163.
- 2018
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 7 The Value Structure of Technologies, Part 2: Technical and Strategic Bottlenecks as Guides for Action
The purpose of this chapter is to present analytic tools based on functional maps that can be used to identify investment opportunities and to formulate strategy in large, evolving technical systems. I argue that the points of value creation and value capture in a...
View Details
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 7 The Value Structure of Technologies, Part 2: Technical and Strategic Bottlenecks as Guides for Action." Harvard Business School Working Paper, No. 19-042, October 2018.
- 2018
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 5 Complementarity
The purpose of this chapter is to relate the theory of task networks and technology set forth in previous chapters to theories of firm boundaries from economics and management. Complementary goods have more value when used together than separately. Complementarity may...
View Details
Keywords:
Complementarity
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 5 Complementarity." Harvard Business School Working Paper, No. 19-036, October 2018.
- October 2018
- Case
Shield AI
By: Mitchell Weiss and A.J. Steinlage
Shield AI’s quadcopter – with no pilot and no flight plan – could clear a building and outpace human warfighters by almost five minutes. This was not to say that it was better than the warfighters or would replace their jobs, but it was evidence that autonomous robots...
View Details
Keywords:
Public Entrepreneurship;
Artificial Intelligence;
AI;
Entrepreneurial Sales;
Government;
Defense;
Shield AI;
Brandon Tseng;
Ryan Tseng;
Andrew Reiter;
Robots;
Robotics;
UAV;
UAVs;
Government Sales;
Entrepreneurship;
Public Sector;
Sales;
Government Administration;
National Security;
Business and Government Relations;
AI and Machine Learning;
Technology Industry;
United States
Weiss, Mitchell, and A.J. Steinlage. "Shield AI." Harvard Business School Case 819-062, October 2018.
- October 2018
- Article
A Theory of Intergenerational Mobility
By: Gary Becker, Scott Duke Kominers, Kevin Murphy and Jorg L. Spenkuch
We develop a model of intergenerational resource transmission that emphasizes the link between cross-sectional inequality and intergenerational mobility. By drawing on first principles of human capital theory, we derive several novel results. In particular, we show...
View Details
Keywords:
Intergenerational Mobility;
Inequality;
Complementarities;
Equality and Inequality;
Human Capital;
Income;
Family and Family Relationships
Becker, Gary, Scott Duke Kominers, Kevin Murphy, and Jorg L. Spenkuch. "A Theory of Intergenerational Mobility." Journal of Political Economy 126, no. S1 (October 2018): S7–S25.