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      Consumer TechnologyRemove Consumer Technology →

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      • January 2025
      • Article

      Reducing Prejudice with Counter-stereotypical AI

      By: Erik Hermann, Julian De Freitas and Stefano Puntoni
      Based on a review of relevant literature, we propose that the proliferation of AI with human-like and social features presents an unprecedented opportunity to address the underlying cognitive and affective drivers of prejudice. An approach informed by the psychology of... View Details
      Keywords: Prejudice and Bias; AI and Machine Learning; Interpersonal Communication; Social and Collaborative Networks
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      Hermann, Erik, Julian De Freitas, and Stefano Puntoni. "Reducing Prejudice with Counter-stereotypical AI." Consumer Psychology Review 8, no. 1 (January 2025): 75–86.
      • 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
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      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; Product Design; Customer Value and Value Chain; Technology Industry; Technology Industry; Technology Industry; United States; China; Taiwan
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      Wu, Andy, Steve Blank, and Matt Higgins. "The Semiconductor Industry." Harvard Business School Background Note 725-398, October 2024.
      • October 2024 (Revised February 2025)
      • Case

      AI and Brand Management: Promises and Perils

      By: Julian De Freitas and Elie Ofek
      As AI gains traction across industries, companies anticipate that AI will revolutionize both backend processes and customer-facing interactions—with brands eager to leverage AI for tailored marketing materials and automated consumer engagements. Yet, despite a dramatic... View Details
      Keywords: AI and Machine Learning; Brands and Branding; Reputation; Technology Adoption; Competitive Advantage
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      De Freitas, Julian, and Elie Ofek. "AI and Brand Management: Promises and Perils." Harvard Business School Case 525-021, October 2024. (Revised February 2025.)
      • 2025
      • Working Paper

      Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships

      By: Julian De Freitas, Noah Castelo, Ahmet Kaan Uğuralp and Zeliha Oğuz-Uğuralp
      As consumers increasingly interact with AI applications specialized for social relationships, what is the nature and depth of these relationships among actual users, and can company actions influence these dynamics? We find that active users of the US-based AI... View Details
      Keywords: AI and Machine Learning; Welfare; Loss; Well-being; Identity; Perception; Relationships
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      De Freitas, Julian, Noah Castelo, Ahmet Kaan Uğuralp, and Zeliha Oğuz-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. (Revised May 2025.)
      • July 2024 (Revised January 2025)
      • 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
      Keywords: Dynamic Pricing; Marketing Strategy; Price; Technology Adoption; Consumer Behavior; AI and Machine Learning; Customer Focus and Relationships; Policy; Food and Beverage Industry
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      Ofek, Elie, Alicia Dadlani, and Martha Hostetter. "Dynamic Pricing at Wendy's: Where's the Beef?" Harvard Business School Case 525-010, July 2024. (Revised January 2025.)
      • 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 Management; Partners and Partnerships; Risk and Uncertainty; Adaptation; Commercialization; Resource Allocation; Corporate Strategy; Technology Industry; Technology Industry; Germany; Europe
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      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
      Keywords: Transportation; Risk and Uncertainty; Technology Adoption; Prejudice and Bias
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      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
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      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
      Keywords: Digital Platforms; Technology Adoption; E-commerce; Market Design
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      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
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      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
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      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
      Keywords: Cybersecurity; Applications and Software; Technology Adoption; Consumer Behavior
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      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, Andrey 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
      Keywords: Policy; Technology Adoption; Behavior; Research; Consumer Behavior; Internet and the Web
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      Farronato, Chiara, Andrey 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
      Keywords: Technology; Television Entertainment; Forecasting and Prediction; Decision Choices and Conditions; Strategy; Strategic Planning; Organizational Change and Adaptation; Media and Broadcasting Industry
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      Yoffie, David B. "Roku 2021." Harvard Business School Teaching Note 724-497, 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
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      Satchu, Reza, and Tom Quinn. "SnapTravel: Betting on 'Super.com'." Harvard Business School Case 824-196, June 2024.
      • 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
      Keywords: Platform; Business Strategy; Competitive Strategy; Goals and Objectives; Social Media; Network Effects; Growth and Development Strategy; Performance Evaluation; Technology Industry; Technology Industry; Sunnyvale
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      Yoffie, David B., George Gonzalez, and Emily Grandjean. "LinkedIn Corporation, 2024." Harvard Business School Case 724-484, 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
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      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
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      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
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      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).
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