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- All HBS Web
(6,716)
- Faculty Publications (1,468)
- July 2024 (Revised July 2024)
- Case
Dynamic Pricing at Wendy’s: Where’s the Beef?
By: Elie Ofek, Alicia Dadlani and Martha Hostetter
In early 2024, Wendy’s new CEO announced on an earnings call that the company would install digital menus in its US locations so it could begin testing dynamic pricing—changing prices up or down in response to shifts in supply and demand – as well as allow engaging in... View Details
- July 2024
- Case
ZEISS: Commercializing Science
By: Maria P. Roche, Carlota Moniz and Daniela Beyersdorfer
Karl Lamprecht, President and CEO of the ZEISS AG Group, mused on how far ZEISS had come in 175 years of being a pioneer in optics, and how the course he had charted since taking the helm of the company could keep it on track. In his role, he oversaw the four core... View Details
Keywords: Business Model; Business Organization; Decisions; Business Strategy; Competition; Business History; Collaborative Innovation and Invention; Independent Innovation and Invention; Disruptive Innovation; Innovation and Management; Innovation Strategy; Technological Innovation; Growth and Development Strategy; Knowledge Sharing; Industry Growth; Monopoly; Organizational Culture; Supply Chain; Supply Chain Management; Relationships; Partners and Partnerships; Risk and Uncertainty; Adaptation; Commercialization; Technology Industry; Technology Industry; Germany; Europe
Roche, Maria P., Carlota Moniz, and Daniela Beyersdorfer. "ZEISS: Commercializing Science." Harvard Business School Case 725-359, July 2024.
- July 2024
- Case
Living Up to Purpose and Performance at Parker Hannifin
By: Hubert Joly, Alicia Dadlani and Martha Hostetter
In 2019, Parker Hannifin, one of the world’s largest manufacturers of motion and control technologies, did something unusual for an industrial company: it created a purpose statement. Even though it already had a clear business strategy and longstanding culture of... View Details
Keywords: Mission and Purpose; Manufacturing Industry; Industrial Products Industry; Cleveland; Ohio; United States
Joly, Hubert, Alicia Dadlani, and Martha Hostetter. "Living Up to Purpose and Performance at Parker Hannifin." Harvard Business School Case 525-015, July 2024.
- 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... View Details
Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics
De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Journal of Consumer Psychology 34, no. 3 (July 2024): 481–491.
- July 2024
- Article
How Artificial Intelligence Constrains Human Experience
By: A. Valenzuela, S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino and K. Wertenbroch
Many consumption decisions and experiences are digitally mediated. As a consequence, consumer behavior is increasingly the joint product of human psychology and ubiquitous algorithms (Braun et al. 2024; cf. Melumad et al. 2020). The coming of age of Large Language... View Details
Keywords: Large Language Model; User Experience; AI and Machine Learning; Consumer Behavior; Technology Adoption; Risk and Uncertainty; Cost vs Benefits
Valenzuela, A., S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino, and K. Wertenbroch. "How Artificial Intelligence Constrains Human Experience." Journal of the Association for Consumer Research 9, no. 3 (July 2024): 241–256.
- 2024
- Working Paper
Webmunk: A New Tool for Studying Online Behavior and Digital Platforms
By: Chiara Farronato, Audrey Fradkin and Chris Karr
Understanding the behavior of users online is important for researchers, policymakers, and private companies alike. But observing online behavior and conducting experiments is difficult without direct access to the user base and software of technology companies. We... View Details
Farronato, Chiara, Audrey Fradkin, and Chris Karr. "Webmunk: A New Tool for Studying Online Behavior and Digital Platforms." NBER Working Paper Series, No. 32694, July 2024.
- 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... View Details
Keywords: Entrepreneurship; Food; Digital Platforms; Product Launch; Growth and Development Strategy; Business Strategy; Business Model; Business Startups; Profit; Marketing Strategy; Expansion; Diversification; Food and Beverage Industry; Latin America; South America; Colombia; Brazil; Mexico; Peru
- June 2024
- Teaching Note
Skills-First Hiring at IBM
By: Boris Groysberg and Sarah Mehta
Teaching note for “Skills-First Hiring at IBM,” case no. 422-013. View Details
Keywords: Competency and Skills; Experience and Expertise; Talent and Talent Management; Human Resources; Human Capital; Employees; Recruitment; Retention; Selection and Staffing; Jobs and Positions; Job Design and Levels; Job Interviews; Society; Societal Protocols; Technology Industry; United States; New York (state, US)
- June 2024 (Revised September 2024)
- Case
Driving Scale with Otto
By: Rebecca Karp, David Allen and Annelena Lobb
This case asks how startup founders make scaling decisions in light of their priorities for their business and for themselves. Otto was a technology company that applied artificial intelligence technology to sales. It deployed natural language processing to find sales... View Details
Keywords: Artificial Intelligence; Natural Language Processing; B2B; B2B Innovation; Scaling; Scaling Tech Ventures; Business Startups; AI and Machine Learning; Finance; Sales; Business Strategy; Growth and Development Strategy; Entrepreneurship; Information Technology Industry; United States; Cambridge; New York (city, NY); Spain
Karp, Rebecca, David Allen, and Annelena Lobb. "Driving Scale with Otto." Harvard Business School Case 724-407, June 2024. (Revised September 2024.)
- 2024
- Working Paper
Don’t Expect Juniors to Teach Senior Professionals to Use Generative AI: Emerging Technology Risks and Novice AI Risk Mitigation Tactics
By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani
The literature on communities of practice demonstrates that a proven way for senior professionals to upskill
themselves in the use of new technologies that undermine existing expertise is to learn from junior
professionals. It notes that juniors may be better able... View Details
Kellogg, Katherine C., Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon, and Karim R. Lakhani. "Don’t Expect Juniors to Teach Senior Professionals to Use Generative AI: Emerging Technology Risks and Novice AI Risk Mitigation Tactics." Harvard Business School Working Paper, No. 24-074, June 2024.
- 2024
- Working Paper
Demographically Biased Technological Change
By: Victor Manuel Bennett, John-Paul Ferguson, Masoomeh Kalantari and Rembrand Koning
Who gets the jobs that automation creates? A consensus has begun to emerge that said technologies complement rather than substitute for labor. However, they also shift the demand for specific types of skills and other worker competencies. Such shifts imply unequal... View Details
Bennett, Victor Manuel, John-Paul Ferguson, Masoomeh Kalantari, and Rembrand Koning. "Demographically Biased Technological Change." Working Paper, June 2024.
- June 2024
- Case
Building Innovation at VINCI
By: Dennis Campbell, Aluna Wang and Carlota Moniz
This case study explores how the VINCI Group, a French multinational operating in concessions, energy, and construction, bolstered awareness and adoption rates of new technologies within the organization. Through its separate innovation hub, Leonard, VINCI aimed to... View Details
Keywords: Business Model; Business Organization; Decisions; Business Earnings; Business Strategy; Competition; Energy; Corporate Entrepreneurship; Values and Beliefs; Global Range; Global Strategy; Cross-Cultural and Cross-Border Issues; Multinational Firms and Management; Globalized Markets and Industries; Corporate Accountability; Collaborative Innovation and Invention; Disruptive Innovation; Innovation and Management; Innovation Strategy; Technological Innovation; Knowledge Sharing; Organizational Culture; Technology Adoption; Innovation Leadership; Organizational Structure; Technology Industry; Technology Industry; Technology Industry; France; Europe
Campbell, Dennis, Aluna Wang, and Carlota Moniz. "Building Innovation at VINCI." Harvard Business School Case 124-092, June 2024.
- 2024
- Working Paper
Personalization and Targeting: How to Experiment, Learn & Optimize
By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer
Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details
Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning
Lemmens, Aurelie, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela, and Oded Netzer. "Personalization and Targeting: How to Experiment, Learn & Optimize." Working Paper, June 2024.
- June 2024
- Article
Valuing the Societal Impact of Medicines and Other Health Technologies: A User Guide to Current Best Practices
By: Jason Shafrin, Jaehong Kim, Joshua T. Cohen, Louis P. Garrison, Dana A. Goldman, Jalpa A. Doshi, Joshua Krieger, Darius N. Lakdawalla, Peter J. Neumann, Charles E. Phelps, Melanie D. Whittington and Richard Willke
This study argues that value assessment conducted from a societal perspective should rely on the Generalized Cost-Effectiveness Analysis (GCEA) framework proposed herein. Recently developed value assessment inventories—such as the Second Panel on Cost-Effectiveness’s... View Details
Shafrin, Jason, Jaehong Kim, Joshua T. Cohen, Louis P. Garrison, Dana A. Goldman, Jalpa A. Doshi, Joshua Krieger, Darius N. Lakdawalla, Peter J. Neumann, Charles E. Phelps, Melanie D. Whittington, and Richard Willke. "Valuing the Societal Impact of Medicines and Other Health Technologies: A User Guide to Current Best Practices." Forum of Health Economics and Policy 27, no. 1 (June 2024): 29–116.
- May 2024 (Revised July 2024)
- Case
Lowe’s: Improving the Total Home Strategy
By: Elie Ofek, K. Shelette Stewart and Alicia Dadlani
In 2023, Marvin Ellison, CEO of Lowe’s, contemplated enhancements to the company’s Total Home Strategy to accelerate performance and grow market share. In the last five years since becoming CEO, Ellison had championed a turnaround of the company, completing a... View Details
Keywords: Growth and Development Strategy; E-commerce; Competition; Brands and Branding; Business Strategy; Retail Industry
Ofek, Elie, K. Shelette Stewart, and Alicia Dadlani. "Lowe’s: Improving the Total Home Strategy." Harvard Business School Case 524-054, May 2024. (Revised July 2024.)
- May 2024
- Case
Pernod Ricard: Uncorking Digital Transformation
By: Iavor Bojinov, Edward McFowland III, François Candelon, Nikolina Jonsson and Emer Moloney
This case study explores the opportunities and challenges of the digital transformation journey of French wine and spirits company Pernod Ricard. As part of the transformation, the company launched four key digital programs (KDPs) aimed at using data and artificial... View Details
Keywords: Business Organization; Business Divisions; Talent and Talent Management; Global Strategy; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Digital Strategy; Advertising; Sales; Organizational Culture; Product Development; Decision Making; Technology Adoption; Alignment; Expansion; Food and Beverage Industry; France; Europe
Bojinov, Iavor, Edward McFowland III, François Candelon, Nikolina Jonsson, and Emer Moloney. "Pernod Ricard: Uncorking Digital Transformation." Harvard Business School Case 624-095, May 2024.
- May 2024
- Case
A New Aiera for Equity Research
By: Joseph Pacelli, Charles CY Wang and James Barnett
Aiera (pronounced “era”) co-founder and CEO Ken Sena considers strategic pathways to growth for the artificial intelligence (AI)-powered platform used to source, verify, and transcribe earnings calls, company presentations, and other corporate events. View Details
- 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... View Details
- 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... View Details
Azoulay, Pierre, Joshua L. Krieger, and Abhishek Nagaraj. "Old Moats for New Models: Openness, Control, and Competition in Generative AI." NBER Working Paper Series, No. 7442, May 2024.
- April 2024
- Case
Managing AI Risks in Consumer Banking
By: Suraj Srinivasan, Satish Tadikonda, Paul Dongha, Manoj Saxena and Radhika Kak
In early 2024, Ruth Jones, head of digital banking at Signa Bank, a (fictitious) European consumer bank, was thinking about how to best incorporate GenAI capabilities to improve efficiencies and create new ways to improve the customer experience. Where were the biggest... View Details
Keywords: Customer Relationship Management; AI and Machine Learning; Risk Management; Opportunities; Customization and Personalization; Banking Industry; Europe
Srinivasan, Suraj, Satish Tadikonda, Paul Dongha, Manoj Saxena, and Radhika Kak. "Managing AI Risks in Consumer Banking." Harvard Business School Case 124-093, April 2024.