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- October 2024
- Article
Canary Categories
By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that...
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- September 2024
- Case
Open Door Legal: Universal Legal Access
By: Brian Trelstad, Taylor Greenthal and Sarah Mehta
This case is about Open Door Legal (ODL), a San Francisco-based civil legal aid nonprofit. CEO Adrian Tirtanadi founded the organization in 2012 with a mission to achieve universal access to legal representation for all city residents. By 2024, ODL had opened four...
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- 2024
- Article
Learning Under Random Distributional Shifts
By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
Algorithmic assignment of refugees and asylum seekers to locations within host
countries has gained attention in recent years, with implementations in the U.S.
and Switzerland. These approaches use data on past arrivals to generate machine
learning models that can...
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- 2024
- Working Paper
Voting Rules, Turnout, and Economic Policies
By: Enrico Cantoni, Vincent Pons and Jérôme Schäfer
In recent years, voter ID laws and convenience voting have generated heated partisan debates. To shed light on these policy issues, we survey the recent evidence on the institutional determinants and effects of voter turnout and broaden the perspective beyond the most...
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- August 2024
- Case
Ashesi University: The Journey From Vision to Reality
By: Ranjay Gulati and Caroline de Lacvivier
In 1997, Patrick Awuah had a dream: to bring liberal arts education to Ghana. Amid the country’s declining economy and pervasive corruption problems, Awuah saw education as an opportunity to reverse its fortunes by investing in the next generation of African leaders....
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- August 2024
- Case
DBS' AI Journey
By: Feng Zhu, Harold Zhu and Adina Wong
Headquartered in Singapore, DBS Bank, one of Asia's leading financial services groups, embarked on a multi-year digital transformation under CEO Piyush Gupta in 2014. It was then that DBS also began experimenting with AI to drive value for the business and customers....
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- 20 Aug 2024
- Interview
Angel City Football Club: A New Business Model for Women’s Sports
By: Jeffrey F. Rayport, Brian Kenny and Nicole Tempest Keller
Angel City Football Club (ACFC) was founded in 2020 by venture capitalist Kara Nortman, entrepreneur Julie Uhrman, and actor and activist Natalie Portman. As outsiders to professional sports, the all-female founding team had rewritten the playbook for how to build a...
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- 2024
- Working Paper
The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations
By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
The rise of generative artificial intelligence (AI) is transforming creative problem-solving, necessitating new approaches for evaluating innovative solutions. This study explores how human-AI collaboration can enhance early-stage evaluations, focusing on the interplay...
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- August 2024
- Article
How Do Copayment Coupons Affect Branded Drug Prices and Quantities Purchased?
By: Leemore S. Dafny, Kate Ho and Edward Kong
Drug copayment coupons to reduce patient cost-sharing have become nearly ubiquitous for high-priced brand-name prescription drugs. Medicare bans such coupons on the grounds that they are kickbacks that induce utilization, but they are commonly used by...
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- July 2024
- Case
RMZ 4.0: 'How fast do we want to run?'
By: Boris Groysberg and Sarah L. Abbott
In 2023, RMZ Corporation (“RMZ”) a large family-owned real estate firm based in Bengaluru, India, announced plans to transform from a commercial real estate developer to a diversified alternative asset owner. Over the next 5 years, RMZ looked to grow its real estate...
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- July 2024
- Article
Chatbots and Mental Health: Insights into the Safety of Generative AI
By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety...
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- July–August 2024
- Article
The Middle Path to Innovation
By: Regina E. Herzlinger, Duke Rohlen, Ben Creo and Will Kynes
Too many companies are failing to innovate. One reason, say the authors, is the polarized approach companies take to innovation. At one end of the spectrum, corporate R&D efforts tend to focus on product refreshes and incremental line upgrades that generate modest...
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- June 2024
- Case
Growing Foodology into Latin America's Largest Platform for Virtual Restaurants
By: Jorge Tamayo, Rembrand Koning and Jenyfeer Martinez Buitrago
This case delves into the expansion strategy of Foodology, a cloud kitchen startup based in Bogotá that operated across four Latin American countries (Colombia, Brazil, Mexico, and Peru). Co-founders Daniela Izquierdo and Juan Guillermo Azuero (both HBS, 2019) grappled...
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- June 2024
- Module Note
Value Creation Potential of New Business Models
By: David J. Collis
A business model is composed of three elements. These describe a generic way of creating value and identify the maximum potential value of that model for customers. The elements of a business model are the “job to be done” for the customer, the asset configuration, or...
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- 2024
- Working Paper
AI Companions Reduce Loneliness
By: Julian De Freitas, Ahmet K Uguralp, Zeliha O Uguralp and Puntoni Stefano
Chatbots are now able to engage in sophisticated conversations with consumers in the domain of relationships, providing a potential coping solution to widescale societal loneliness. Behavioral research provides little insight into whether these applications are...
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- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets...
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- May 2024
- Background Note
Net Revenue Retention: Unpacking the Dynamics of Customer Monetization
By: Elie Ofek, Barak Libai and Eitan Muller
Firms and investors alike are beginning to recognize the importance of tracking how revenues from existing customers are evolving over time and to appreciate the value in understanding what might explain changes in these revenues. Consequently, in addition to looking...
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- May 2024 (Revised September 2024)
- Case
Hakluyt: from Corporate Intelligence to Trusted Advisors
By: Joseph B. Fuller and Lena Duchene
"Established in 1995 by a group of ex-British intelligence officers, Hakluyt & Company (Hakluyt) was a corporate advisory firm that generated insights by leveraging a unique blend of internal expertise and a global network of well-connected individuals. Since 2019, the...
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Keywords:
Business Growth and Maturation;
Business Model;
Talent and Talent Management;
Capital Structure;
Cash Flow;
Corporate Finance;
Equity;
Stock Shares;
Corporate Governance;
Business History;
Compensation and Benefits;
Recruitment;
Leadership Style;
Growth Management;
Management Succession;
Organizational Culture;
Performance Evaluation;
Networks;
Partners and Partnerships;
Business Strategy;
Competitive Advantage;
Consulting Industry;
Europe;
United Kingdom;
England;
London
- May 2024
- Teaching Note
AI21 Labs in 2023: Strategy for Generative AI
By: David Yoffie
Teaching Note for HBS Case 724-383. The case has 3 important teaching purposes: First, what are the advantages and disadvantages of imitation? (e.g., Should AI21 imitate OpenAI with a chatbot?) Second, what are the advantages and disadvantages of keeping new technology...
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- 2024
- Working Paper
Old Moats for New Models: Openness, Control, and Competition in Generative AI
By: Pierre Azoulay, Joshua L. Krieger and Abhishek Nagaraj
Drawing insights from the field of innovation economics, we discuss the likely competitive environment shaping generative AI advances. Central to our analysis are the concepts of appropriability—whether firms in the industry are able to control the knowledge generated...
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