Publications
Publications
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- All HBS Web
(12,551)
- Faculty Publications (1,567)
- November 2021
- Article
Venture Capitalists and COVID-19
By: Paul A. Gompers, Will Gornall, Steven N. Kaplan and Ilya A. Strebulaev
We survey over 1,000 institutional and corporate venture capitalists (VCs) at more than 900 different firms to learn how their decisions and investments have been affected by the COVID-19 pandemic. We compare their survey answers to those provided by a large sample of... View Details
- October 26, 2021
- Article
Value Chain Management to Implement Post-COVID-19 Health Care Strategy: The COVID-19 Crisis Has Created Areas of Innovation That Should Be Embraced by Health Care Leaders
By: Michael E. Porter, Junaid Nabi and Thomas H. Lee
Health care organizations must learn from what has worked during the COVID-19 crisis. Leaders have found that while they cannot do everything, they must define and manage the sequence of activities required to deliver high-value care. View Details
- October 2021 (Revised December 2021)
- Case
Customer-Centric Design with Artificial Intelligence: Commonwealth Bank
By: Karim R. Lakhani, Yael Grushka-Cockayne, Jin Hyun Paik and Steven Randazzo
As Commonwealth Bank (CommBank) CEO Matt Comyn delivered the full financial year results in August 2021 over videoconference, it took less than two minutes for him to make his first mention of the organization's Customer Engagement Engine (CEE), the AI-driven customer... View Details
- October 2021
- Background Note
How to Write an Action-Planning Memo
By: Ryan Raffaelli and Akshaya Varghese
The ability to communicate an action plan through writing is essential for advancing ideas, earning credibility, and garnering support. Research has shown that leaders who write formal plans are more likely to execute successfully—written plans help members of an... View Details
- October 2021 (Revised June 2022)
- Case
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; AI; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
- 2021
- Chapter
Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success
By: Karen G. Mills and Annie Dang
Small business lending has remained unchanged for decades, laden with frictions and barriers that prevent many small businesses from accessing the capital they need to succeed. Financial technology, or “fintech,” promises to change this trajectory. In 2010, new fintech... View Details
- October 2021
- Article
Changing Gambling Behavior through Experiential Learning
By: Shawn A. Cole, Martin Abel and Bilal Zia
This paper tests experiential learning as a debiasing tool to reduce gambling in South Africa, through a randomized field experiment. The study implements a simple, interactive game that simulates the odds of winning the national lottery through dice rolling.... View Details
- Article
Health Equity, Schooling Hesitancy, and the Social Determinants of Learning
By: Meira Levinson, Alan C. Geller, Joseph G. Allen and John D. Macomber
At least 62 million K-12 students in North America—disproportionately low-income children of color— have been physically out of school for over a year due to the COVID-19 pandemic. These children are at risk of significant academic, social, mental, and physical harm... View Details
- 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
- October 2021 (Revised September 2022)
- Case
SmartOne: Building an AI Data Business
By: Karim R. Lakhani, Pippa Armerding, Gamze Yucaoglu and Fares Khrais
The case opens in August 2021, as Habib and Shahysta Hassim, husband and wife co-founders of the data labeling company SmartOne, contemplate the strategy of the high growth company. Between 2016 and 2021, SmartOne had kept doubling its size every two years and now,... View Details
- September 2021 (Revised March 2024)
- Case
Tesla in 2023: 'Electrified' Competition
By: Eric Van den Steen, Ramon Casadesus-Masanell and Karen Elterman
Over its 17 years in existence, Tesla had redefined people’s view of electric cars, and in 2020, the company saw its stock rise by more than 700% to became the most valuable carmaker in the world. In December 2020, Tesla celebrated its fifth consecutive quarter of... View Details
Keywords: Barrier To Entry; Competitive Advantage; Innovation; Tesla; Automotive Industry; Sustainable Competitive Advantage; Values; Vision; Learning By Doing; Economies Of Scale; Electric Vehicle; Scenario Planning; Batteries; Competitive Strategy; Product Positioning; Profit; Competition; Industry Growth; Auto Industry
- September 2021 (Revised February 2022)
- Case
Sawiris Foundation: Elevating Education in Egypt
By: Brian Trelstad and Alpana Thapar
Founded in 2001 by the Sawiris family, one of the wealthiest families in Egypt, the Sawiris Foundation for Social Development (SFSD) invested in human capital and provision of basic social services for the most marginalized Egyptians. In 2015, Noura Selim’s (MBA 2013)... View Details
- September 17, 2021
- Article
AI Can Help Address Inequity—If Companies Earn Users' Trust
By: Shunyuan Zhang, Kannan Srinivasan, Param Singh and Nitin Mehta
While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in the wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a... View Details
- September 15, 2021
- Article
Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map
By: Andrea Blasco, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin Hyun Paik, N.J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani and Aravind Subramanian
A recurring problem in biomedical research is how to isolate signals of distinct populations (cell types, tissues, and genes) from composite measures obtained by a single analyte or sensor. Existing computational deconvolution approaches work well in many specific... View Details
- September 2021
- Case
Worldreader: Helping Readers Build a Better World
By: Marco Bertini, Elie Ofek and Julia Kelley
Founded in 2010, Worldreader was an international nonprofit organization that promoted reading to children around the world. For many years, Worldreader distributed e-readers to under-resourced communities and funded its operations primarily through philanthropic... View Details
Keywords: Subscription Model; Price; Financial Strategy; Education; Early Childhood Education; Learning; Geography; Geographic Scope; Global Range; Goals and Objectives; Marketing; Marketing Strategy; Markets; Organizations; Mission and Purpose; Social Enterprise; Non-Governmental Organizations; Nonprofit Organizations; Society; Social Issues; Strategy; Commercialization; Expansion; Segmentation; Education Industry; Africa; Asia; Latin America; Europe; North and Central America; South America
- September 2021
- Article
Diagnostic Bubbles
By: Pedro Bordalo, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer
We introduce diagnostic expectations into a standard setting of price formation in which investors learn about the fundamental value of an asset and trade it. We study the interaction of diagnostic expectations with two well-known mechanisms: learning from prices and... View Details
- 2021
- Book
Lead and Disrupt: How to Solve the Innovator's Dilemma
By: Charles A. O'Reilly III and Michael Tushman
Why do successful firms find it so difficult to adapt in the face of change—to innovate? In the past ten years, the importance of this question has increased as more industries and firms confront disruptive change. The pandemic has accelerated this crisis, collapsing... View Details
- September 2021
- Article
Trials and Terminations: Learning from Competitors' R&D Failures
I analyze project continuation decisions where firms may resolve uncertainty through news about competitors' research and development (R&D) failures, as well as through their own results. I examine the trade-offs and interactions between product-market competition and... View Details
- 2021
- Working Paper
Going to Extremes: Crucibles, Multiple Sensitive Periods, and Career Progression
By: Prithwiraj Choudhury, Sunasir Dutta, Hise O. Gibson and Eric Lin
We study the effects of crucible experiences along multiple sensitive periods on career progression. While prior literature has hinted that individuals can be imprinted during multiple sensitive periods, not just during the early career, there has been scant attention... View Details
- August 2021 (Revised April 2022)
- Case
Intenseye: Powering Workplace Health and Safety with AI
By: Michael W. Toffel and Youssef Abdel Aal
Intenseye was a Turkey-based technology startup that deployed machine learning algorithms to workplace camera feeds in order to identify unsafe worker actions and unsafe working conditions, in order to help improve worker safety. The case describes how Intenseye’s... View Details