Filter Results:
(558)
Show Results For
- All HBS Web
(2,434)
- Faculty Publications (558)
Show Results For
- All HBS Web
(2,434)
- Faculty Publications (558)
Page 1 of 558
Results →
- November–December 2024
- Article
How to Avoid the Agility Trap
By: Jianwen Liao and Feng Zhu
Agility is all the rage in strategy circles these days. According to conventional wisdom, organizations should rapidly react to technological advances, new market dynamics, and shifting consumer preferences. But in practice this is nearly impossible to pull off,... View Details
Keywords: Organizational Change and Adaptation; Competitive Advantage; Growth and Development Strategy; Business Model
Liao, Jianwen, and Feng Zhu. "How to Avoid the Agility Trap." Harvard Business Review 102, no. 6 (November–December 2024): 126–133.
- October 2024
- Background Note
The Semiconductor Industry
By: Andy Wu, Steve Blank and Matt Higgins
The semiconductor industry powers modern technology, from consumer electronics to data centers. This background note explores the layers of the semiconductor inudstry value chain, including Integrated Device Manufacturers (IDMs), fabless companies, and foundries, while... View Details
Keywords: Strategy; Supply Chain; Technology Industry; Technology Industry; United States; China; Taiwan
- 2024
- Working Paper
Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships
By: Julian De Freitas, Noah Castelo, Ahmet Uğuralp and Zeliha Uğuralp
Can consumers form deep emotional bonds with AI and be vested in AI identities over time? We
leverage a natural app-update event at Replika AI, a popular US-based AI companion, to shed
light on these questions. We find that customers feel closer to their AI companion... View Details
De Freitas, Julian, Noah Castelo, Ahmet Uğuralp, and Zeliha Uğuralp. "Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships." Harvard Business School Working Paper, No. 25-018, October 2024.
- 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
- Article
Acceptance of Automated Vehicles Is Lower for Self than Others
By: Stuti Agarwal, Julian De Freitas, Anya Ragnhildstveit and Carey K. Morewedge
Road traffic accidents are the leading cause of death worldwide for people aged 2–59. Nearly all deaths are due to human error. Automated vehicles could reduce mortality risks, traffic congestion, and air pollution of human-driven vehicles. However, their adoption... View Details
Agarwal, Stuti, Julian De Freitas, Anya Ragnhildstveit, and Carey K. Morewedge. "Acceptance of Automated Vehicles Is Lower for Self than Others." Journal of the Association for Consumer Research 9, no. 3 (July 2024): 269–281.
- 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.
- 2024
- Working Paper
Digital Platforms 2.0: Learnings, Opportunities, and Challenges
By: Shrabastee Banerjee, Ishita Chakraborty, Hana Choi, Hannes Datta, Remi Daviet, Chiara Farronato, Minkyung Kim, Anja Lambrecht, Puneet Manchanda, Aniko Oery, Ananya Sen, Marshall W Van Alstyne, Prasad Vana, Kenneth C Wilbur, Xu Zhang and Bobby Zhou
Platform-based digital ecosystems form the backbone of our interactions with the Internet. Over the past decade, digital ecosystems have witnessed significant growth, both in terms of industry footprint and academic research. Yet, the challenges associated with their... View Details
Banerjee, Shrabastee, Ishita Chakraborty, Hana Choi, Hannes Datta, Remi Daviet, Chiara Farronato, Minkyung Kim, Anja Lambrecht, Puneet Manchanda, Aniko Oery, Ananya Sen, Marshall W Van Alstyne, Prasad Vana, Kenneth C Wilbur, Xu Zhang, and Bobby Zhou. "Digital Platforms 2.0: Learnings, Opportunities, and Challenges." Working Paper, June 2024.
- July–August 2024
- Article
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to... View Details
Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
- 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
Navigating Software Vulnerabilities: Eighteen Years of Evidence from Medium and Large U.S. Organizations
By: Raviv Murciano-Goroff, Ran Zhuo and Shane Greenstein
How prevalent are severe software vulnerabilities, how fast do software users respond to the availability of secure versions, and what determines the variance in the installation distribution? Using the largest dataset ever assembled on user updates, tracking server... View Details
Murciano-Goroff, Raviv, Ran Zhuo, and Shane Greenstein. "Navigating Software Vulnerabilities: Eighteen Years of Evidence from Medium and Large U.S. Organizations." NBER Working Paper Series, No. 32696, July 2024.
- 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
- Teaching Note
Roku 2021
By: David B. Yoffie
Teaching Note for HBS Case No. 721-480. This case is used to explore the strategic concept of "look forward, reason back." Roku in 2021 is trying to figure out the future of television and streaming media. Students are asked to provide a vision for television and... View Details
- 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... View Details
De Freitas, Julian, Ahmet K Uguralp, Zeliha O Uguralp, and Puntoni Stefano. "AI Companions Reduce Loneliness." Harvard Business School Working Paper, No. 24-078, June 2024.
- June 2024
- Case
SnapTravel: Betting on 'Super.com'
By: Reza Satchu and Tom Quinn
This case explores SnapTravel, a travel startup offering discounted hotel rooms, and its founders’ desire to pivot to a “super app” that saved customers money across many different purchase types. During the COVID-19 pandemic, Hussein Fazal and Henry Shi saw SnapTravel... View Details
Keywords: Business Growth and Maturation; Business Plan; Business Startups; Change Management; Disruption; Transformation; Volatility; Customer Focus and Relationships; Customer Value and Value Chain; Decisions; Income; Entrepreneurship; Geographic Scope; Cross-Cultural and Cross-Border Issues; Health Pandemics; Surveys; Knowledge Acquisition; Knowledge Use and Leverage; Leading Change; Crisis Management; Goals and Objectives; Risk Management; Consumer Behavior; Game Theory; Risk and Uncertainty; Adaptation; Diversification; Expansion; System Shocks; Technology Industry; Technology Industry; Canada; United States; Las Vegas
- May 2024
- Case
LinkedIn Corporation, 2024
By: David B. Yoffie, George Gonzalez and Emily Grandjean
By 2024, the LinkedIn profile was well established as the professional identity of record on the Internet. Following a multi-year effort to expand the platform’s user base, as well as a period of rapid growth during the COVID-19 pandemic, LinkedIn’s membership had... View Details
- 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.
- 2024
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We investigate whether corporate officers should grant managers discretion to override AI-driven demand forecasts and labor scheduling tools. Analyzing five years of administrative data from a large grocery retailer using such an AI tool, encompassing over 500 stores,... View Details
Keywords: AI and Machine Learning; Forecasting and Prediction; Working Conditions; Performance Productivity
Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, April 2024.
- April 3, 2024
- Article
How Automakers Can Address Resistance to Self-Driving Cars
By: Stuti Agarwal, Julian De Freitas and Carey K. Morewedge
Research involving multiple experiments found that consumers have biased views of their driving abilities relative to those of other drivers and automated vehicles. These findings have implications for the adoption of partly or fully automated vehicles, which one day... View Details
Keywords: Technology Adoption; Consumer Behavior; Government Legislation; Prejudice and Bias; Technology Industry; Technology Industry
Agarwal, Stuti, Julian De Freitas, and Carey K. Morewedge. "How Automakers Can Address Resistance to Self-Driving Cars." Harvard Business Review (website) (April 3, 2024).
- March 2024 (Revised July 2024)
- Case
WeightWatchers: Promoting Weight Health
In December 2023, the 60-year-old weight management industry stalwart WeightWatchers announced the launch of WeightWatchers Clinic, which incorporated GLP-1s , a new class of prescription weight-loss medications, into the company’s portfolio of products and mobile app... View Details
Keywords: Business Strategy; Competitive Strategy; Resource Allocation; Diversification; Leadership; Growth and Development Strategy; Technology Industry; Technology Industry; Technology Industry; United States; New York (city, NY)
Gulati, Ranjay, Cynthia A. Montgomery, Ashley Whillans, Allison Ciechanover, and Emily Grandjean. "WeightWatchers: Promoting Weight Health." Harvard Business School Case 424-029, March 2024. (Revised July 2024.)