Publications
Publications
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- All HBS Web
(4,047)
- Faculty Publications (1,263)
- March 2019
- Case
Wattpad
By: John Deighton and Leora Kornfeld
How to run a platform to match four million writers of stories to 75 million readers? Use data science. Make money by doing deals with television and filmmakers and book publishers. The case describes the challenges of matching readers to stories and of helping writers... View Details
Keywords: Platform Businesses; Creative Industries; Publishing; Data Science; Machine Learning; Collaborative Filtering; Women And Leadership; Managing Data Scientists; Big Data; Recommender Systems; Digital Platforms; Information Technology; Intellectual Property; Analytics and Data Science; Publishing Industry; Entertainment and Recreation Industry; Canada; United States; Philippines; Viet Nam; Turkey; Indonesia; Brazil
- March 2019
- Case
DayTwo: Going to Market with Gut Microbiome
By: Ayelet Israeli and David Lane
DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals. After a first year of trial rollout in... View Details
Keywords: Start-up Growth; Startup; Positioning; Targeting; Go To Market Strategy; B2B2C; B2B Vs. B2C; Health ＆ Wellness; AI; Machine Learning; Female Ceo; Female Protagonist; Science-based; Science And Technology Studies; Ecommerce; Applications; DTC; Direct To Consumer Marketing; US Health Care; ＂USA,＂; Innovation; Pricing; Business Growth; Segmentation; Distribution Channels; Growth and Development Strategy; Business Startups; Science-Based Business; Health; Innovation and Invention; Marketing; Information Technology; Business Growth and Maturation; E-commerce; Applications and Software; Health Industry; Technology Industry; Insurance Industry; Information Technology Industry; Food and Beverage Industry; Israel; United States
- February 2019
- Case
Miroglio Fashion (A)
By: Sunil Gupta and David Lane
Francesco Cavarero, chief information officer of Miroglio Fashion, Italy’s third-largest retailer of women’s apparel, was trying to bring analytical rigor to the company’s forecasting and inventory management decisions. But fashion is inherently hard to predict. Can... View Details
- February 2019
- Case
Canibal—Play It Green!
By: Frank V. Cespedes, Joseph B. Fuller, Tonia Labruyere and Elena Corsi
In 2011, Canibal launched a machine that could sort and compress aluminum cans, plastic bottles, and cups. Users could play a jackpot-style game on the machine’s digital display, while disposing of their beverage containers and earning coupons or other rewards. The... 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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