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- 2022
- Working Paper
Ethical Risks of Autonomous Products: The Case of Mental Health Crises on AI Companion Applications
By: Julian De Freitas, Ahmet Kaan Uğuralp and Zeliha Uğuralp
Increasingly, some products do not merely automate some piece of our lives but act as
autonomous agents. When these technologies are not yet perfected, what are their risks? Here
we explore the case of AI companion apps. Although these apps are designed...
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Keywords:
Autonomy;
Artificial Intelligence;
Chatbots;
New Technology;
Brand Crises;
Ethics;
Mental Health;
AI and Machine Learning;
Well-being;
Health;
Applications and Software
De Freitas, Julian, Ahmet Kaan Uğuralp, and Zeliha Uğuralp. "Ethical Risks of Autonomous Products: The Case of Mental Health Crises on AI Companion Applications." Harvard Business School Working Paper, No. 23-011, August 2022.
- 2022
- Interview
Prime Venture Partners Podcast: #104 Tarun Khanna, Professor, Harvard Business School, on Creating the Conditions to Create, The Value Of Trust & The Power of Diversity
By: Tarun Khanna and Shripati Acharya
Tarun Khanna, Professor at the Harvard Business School chats with Shripati Acharya, Managing Partner Prime Venture Partners regarding: Creating the Conditions to Create, State of Entrepreneurship: India vs China, The Value of Trust in Entrepreneurship, Working with...
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- July 2022
- Case
Duolingo: Teaching Languages to the Masses
By: Youngme Moon
In early 2022, the CEO of Duolingo--the world's most popular language learning app--is faced with a number of questions involving the company's monetization and growth strategy.
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- July 2022
- Teaching Note
Arçelik (A), (B): From a Dealer Network to an Omnichannel Experience
By: Ayelet Israeli, Fares Khrais and Menna Hassan
Arçelik Turkey, the country’s market leader in household appliances, was at an omnichannel crossroads in January 2020. Arçelik was a B2B player utilizing a dealership network with an umbrella of brands and had one of the largest brick-and-mortar store networks in...
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Keywords:
Digital Marketing;
Bricks And Mortar;
Franchise Management;
Franchising;
Dealer Network;
Dealers;
B2B;
B2B2C;
Tradition;
Culture Change;
Cultural Adaptation;
Omnichannel;
Omnichannel Retail;
Omni-channel;
Omnichannel Retailing;
Sales Channels;
Sales Channel Development;
Channel Management;
Channels Of Distribution;
Marketplace;
Platforms;
Collaboration;
Online Channel;
Online Data;
Online Sales;
Online Shopping;
Online;
Retail;
Retailing;
Disruption;
Transformation;
Franchise Ownership;
Change Management;
Partners and Partnerships;
Consumer Behavior;
Sales;
Internet and the Web;
Marketing Strategy;
Conflict and Resolution;
Conflict Management;
Organizational Culture;
Distribution Channels;
Digital Transformation;
Electronics Industry;
Retail Industry;
Consumer Products Industry;
Turkey
- 2022
- Working Paper
Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments
By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso
We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s...
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Chen, Fanglin, Xiao Liu, Davide Proserpio, and Isamar Troncoso. "Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments." NYU Stern School of Business Research Paper Series, July 2022.
- 2022
- Working Paper
Social Protection and Social Distancing During the Pandemic: Mobile Money Transfers in Ghana
By: Dean Karlan, Matt Lowe, Robert Osei, Isaac Osei-Akoto, Benjamin N. Roth and Christopher Udry
We study the impact of mobile money transfers to a representative sample of low-income
Ghanaians during the COVID-19 pandemic. The announcement of the upcoming transfers
affects neither consumption, well-being, nor social distancing. Once disbursed,...
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Karlan, Dean, Matt Lowe, Robert Osei, Isaac Osei-Akoto, Benjamin N. Roth, and Christopher Udry. "Social Protection and Social Distancing During the Pandemic: Mobile Money Transfers in Ghana." Harvard Business School Working Paper, No. 23-010, July 2022.
- July 2022
- Article
The Pass-Through of Uncertainty Shocks to Households
By: Marco Di Maggio, Amir Kermani, Rodney Ramcharan, Vincent Yao and Edison Yu
Using new employer-employee matched data, this paper investigates the impact of uncertainty, as measured by idiosyncratic stock market volatility, on individual outcomes. We find that firms provide at best partial insurance to their workers. An increase in firm-level...
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Keywords:
Employment Risk;
Consumption;
Employment;
Risk and Uncertainty;
System Shocks;
Insurance;
Household;
Spending
Di Maggio, Marco, Amir Kermani, Rodney Ramcharan, Vincent Yao, and Edison Yu. "The Pass-Through of Uncertainty Shocks to Households." Journal of Financial Economics 145, no. 1 (July 2022): 85–104.
- June 2022
- Case
Buurtzorg
By: Ethan Bernstein, Tatiana Sandino, Joost Minnaar and Annelena Lobb
As co-founders of home nursing company Buurtzorg, Jos de Blok and Gonnie Kronenberg prized both self-management and organizational learning. Buurtzorg’s 10,000 nurses across 950 neighborhood nursing teams in the Netherlands were empowered to manage themselves, both in...
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Keywords:
Healthcare;
Best Practices;
Best Practices Transfer;
Flat Organization;
Self-Managed Organizations;
Self-Managed Teams;
Organizational Learning;
Knowledge Management;
Learning;
Management Practices and Processes;
Human Resources;
Communication;
Organizational Structure;
Organizational Design;
Organizational Change and Adaptation;
Groups and Teams;
Networks;
Health Industry;
Netherlands;
Europe
- June 2022
- Case
Strategic Innovation at the United Nations: A Network of Ecosystems
By: Frank Nagle, Elizabeth J. Altman and Amy Klopfenstein
In 2021, Gina Lucarelli, leader of the United Nations Development Programme (UNDP) Accelerator Labs, prepared for a meeting with UNDP Administrator Achim Steiner. The two planned to discuss the future of the Accelerator Labs, a network of social innovation labs located...
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Keywords:
Change;
Disruption;
Transformation;
Change Management;
Education;
Learning;
Environmental Management;
Climate Change;
Environmental Sustainability;
Geography;
Geographic Scope;
Global Range;
Local Range;
Geopolitical Units;
Country;
Human Resources;
Recruitment;
Retention;
Selection and Staffing;
Employees;
Employee Relationship Management;
Information Technology;
Information Management;
Innovation and Invention;
Collaborative Innovation and Invention;
Disruptive Innovation;
Innovation and Management;
Innovation Leadership;
Innovation Strategy;
Knowledge;
Knowledge Acquisition;
Knowledge Dissemination;
Knowledge Management;
Knowledge Sharing;
Knowledge Use and Leverage;
Organizations;
Mission and Purpose;
Organizational Culture;
Organizational Structure;
Organizational Design;
Organizational Change and Adaptation;
Social Enterprise;
Non-Governmental Organizations;
Social Psychology;
Social and Collaborative Networks;
Society;
Social Issues;
Welfare;
Strategy;
Cooperation;
Adaptation;
Public Administration Industry;
North and Central America
- 2022
- Working Paper
Machine Learning Models for Prediction of Scope 3 Carbon Emissions
By: George Serafeim and Gladys Vélez Caicedo
For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15...
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Keywords:
Carbon Emissions;
Climate Change;
Environment;
Carbon Accounting;
Machine Learning;
Artificial Intelligence;
Digital;
Data Science;
Environmental Sustainability;
Environmental Management;
Environmental Accounting
Serafeim, George, and Gladys Vélez Caicedo. "Machine Learning Models for Prediction of Scope 3 Carbon Emissions." Harvard Business School Working Paper, No. 22-080, June 2022.
- June 2022
- Article
The Use and Misuse of Patent Data: Issues for Finance and Beyond
By: Josh Lerner and Amit Seru
Patents and citations are powerful tools for understanding innovation increasingly used in financial economics (and management research more broadly). Biases may result, however, from the interactions between the truncation of patents and citations and the changing...
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Lerner, Josh, and Amit Seru. "The Use and Misuse of Patent Data: Issues for Finance and Beyond." Review of Financial Studies 35, no. 6 (June 2022): 2667–2704.
- 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.
- 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 (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
Borusan CAT: Monetizing Prediction in the Age of AI (B)
By: Navid Mojir and Gamze Yucaoglu
Borusan Cat is an international distributor of Caterpillar heavy machines. In 2021, it had been three years since Ozgur Gunaydin (CEO) and Esra Durgun (Director of Strategy, Digitization, and Innovation) started working on Muneccim, the company’s predictive AI tool....
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Keywords:
AI and Machine Learning;
Commercialization;
Technology Adoption;
Industrial Products Industry;
Turkey;
Middle East
Mojir, Navid, and Gamze Yucaoglu. "Borusan CAT: Monetizing Prediction in the Age of AI (B)." Harvard Business School Supplement 522-045, May 2022.
- May 2022 (Revised August 2022)
- Case
LOOP: Driving Change in Auto Insurance Pricing
By: Elie Ofek and Alicia Dadlani
John Henry and Carey Anne Nadeau, co-founders and co-CEOs of LOOP, an insurtech startup based in Austin, Texas, were on a mission to modernize the archaic $250 billion automobile insurance market. They sought to create equitably priced insurance by eliminating pricing...
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Keywords:
AI and Machine Learning;
Technological Innovation;
Equality and Inequality;
Prejudice and Bias;
Growth and Development Strategy;
Customer Relationship Management;
Price;
Insurance Industry;
Financial Services Industry
Ofek, Elie, and Alicia Dadlani. "LOOP: Driving Change in Auto Insurance Pricing." Harvard Business School Case 522-073, May 2022. (Revised August 2022.)
- May 2022 (Revised July 2022)
- Case
The Voice War Continues: Hey Google vs. Alexa vs. Siri in 2022
By: David B. Yoffie and Daniel Fisher
In 2022, after five years of pursuing a new "AI-first" strategy, Google had captured a sizeable share of the American and global markets for voice assistants. Google Assistant was used by hundreds of millions of users around the world, but Amazon retained the largest...
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Keywords:
Strategy;
Artificial Intelligence;
Deep Learning;
Voice Assistants;
Smart Home;
Market Share;
Globalized Markets and Industries;
Competitive Strategy;
Digital Platforms;
AI and Machine Learning;
Technology Industry;
United States
Yoffie, David B., and Daniel Fisher. "The Voice War Continues: Hey Google vs. Alexa vs. Siri in 2022." Harvard Business School Case 722-462, May 2022. (Revised July 2022.)
- Article
Developing a Digital Mindset: How to Lead Your Organization into the Age of Data, Algorithms, and AI
By: Tsedal Neeley and Paul Leonardi
Learning new technological skills is essential for digital transformation. But it is not enough. Employees must be motivated to use their skills to create new opportunities. They need a digital mindset: a set of attitudes and behaviors that enable people and...
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Keywords:
Machine Learning;
AI;
Information Technology;
Transformation;
Competency and Skills;
Employees;
Technology Adoption;
Leading Change;
Digital Transformation
Neeley, Tsedal, and Paul Leonardi. "Developing a Digital Mindset: How to Lead Your Organization into the Age of Data, Algorithms, and AI." S22032. Harvard Business Review 100, no. 3 (May–June 2022): 50–55.
- Article
Early Withdrawal of Pandemic Unemployment Insurance: Effects on Earnings, Employment and Consumption
By: Kyle Coombs, Arindrajit Dube, Calvin Jahnke, Raymond Kluender, Suresh Naidu and Michael Stepner
In June 2021, 22 states ended all supplemental pandemic unemployment insurance (UI) benefits, eliminating benefits entirely for over 2 million workers and reducing benefits by $300 per week for over 1 million workers. Using anonymous bank transaction data and a...
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Keywords:
COVID-19 Pandemic;
Unemployment Insurance;
Health Pandemics;
Insurance;
Employment;
Financial Condition;
Spending;
Government Administration
Coombs, Kyle, Arindrajit Dube, Calvin Jahnke, Raymond Kluender, Suresh Naidu, and Michael Stepner. "Early Withdrawal of Pandemic Unemployment Insurance: Effects on Earnings, Employment and Consumption." AEA Papers and Proceedings 112 (May 2022): 85–90.
- 2022
- Article
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.
By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a...
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Keywords:
Machine Learning Models;
Counterfactual Explanations;
Adversarial Examples;
Mathematical Methods
Pawelczyk, Martin, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, and Himabindu Lakkaraju. "Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).