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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... 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 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

      AI Companions Reduce Loneliness

      By: Julian De Freitas, Ahmet K. Uğuralp, Zeliha O. Uğuralp and Stefano Puntoni
      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
      Keywords: AI and Machine Learning; Technological Innovation; Behavior; Well-being
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      De Freitas, Julian, Ahmet K. Uğuralp, Zeliha O. Uğuralp, and Stefano Puntoni. "AI Companions Reduce Loneliness." Harvard Business School Working Paper, No. 24-078, June 2024.
      • June 2024
      • Article

      Rationalizing Outcomes: Interdependent Learning in Competitive Markets

      By: Anoop R. Menon and Dennis Yao
      In this article we use simulation models to explore interdependent learning in competitive markets. Such interactions require attention to both the mental representations held by the management of the focal firm as well as the beliefs of that management about the... View Details
      Keywords: Mental Models; Strategic Interactions; Rationalization; Explanation-based View; Competition
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      Menon, Anoop R., and Dennis Yao. "Rationalizing Outcomes: Interdependent Learning in Competitive Markets." Strategy Science 9, no. 2 (June 2024): 97–117.
      • May 2024
      • Supplement

      HubSpot and Motion AI (B): Generative AI Opportunities

      By: Jill Avery
      The technologies driving artificial intelligence (AI) had progressed significantly since HubSpot’s acquisition of Motion AI in 2017. Generative AI was the newest major development. Software-as-a-service (SaaS) companies such as HubSpot were analyzing how generative AI... View Details
      Keywords: Artificial Intelligence; CRM; Chatbots; Sales Management; Generative Ai; SaaS; Marketing; Sales; AI and Machine Learning; Customer Relationship Management; Applications and Software; Technological Innovation; Competitive Advantage; Technology Industry; United States
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      Avery, Jill. "HubSpot and Motion AI (B): Generative AI Opportunities." Harvard Business School Supplement 524-088, May 2024.
      • April 2024 (Revised December 2024)
      • Case

      Anthropic: Building Safe AI

      By: Shikhar Ghosh and Shweta Bagai
      In late 2024, Anthropic, a leading AI safety and research company, achieved a significant breakthrough with computer use capabilities that allowed AI to interact with computers like humans. Co-founded by former OpenAI employees and known for its generative AI... View Details
      Keywords: AI and Machine Learning; Corporate Accountability; Corporate Social Responsibility and Impact; Business Growth and Maturation; Corporate Strategy; Technology Industry; United States
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      Ghosh, Shikhar, and Shweta Bagai. "Anthropic: Building Safe AI." Harvard Business School Case 824-129, April 2024. (Revised December 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 2024
      • Article

      Speaking up and Taking Action: Psychological Safety and Joint Problem-solving Orientation in Safety Improvement

      By: Hassina Bahadurzada, Michaela J. Kerrissey and Amy C. Edmondson
      Healthcare organizations face stubborn challenges in ensuring patient safety and mitigating clinician turnover. This paper aims to advance theory and research on patient safety by elucidating how the role of psychological safety in patient safety can be enhanced with... View Details
      Keywords: Healthcare Operations; Psychological Safety; Teams; Retention; Safety; Customer Satisfaction; Organizational Culture; Performance Evaluation; Health Industry
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      Bahadurzada, Hassina, Michaela J. Kerrissey, and Amy C. Edmondson. "Speaking up and Taking Action: Psychological Safety and Joint Problem-solving Orientation in Safety Improvement." Art. 812. Healthcare 12, no. 8 (April 2024).
      • March 2024
      • Article

      Being Together in Place as a Catalyst for Scientific Advance

      By: Eamon Duede, Misha Teplitskiy, Karim R. Lakhani and James Evans
      The COVID-19 pandemic necessitated social distancing at every level of society, including universities and research institutes, raising essential questions concerning the continuing importance of physical proximity for scientific and scholarly advance. Using customized... View Details
      Keywords: Geographic Location; Power and Influence; Body of Literature; Research
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      Duede, Eamon, Misha Teplitskiy, Karim R. Lakhani, and James Evans. "Being Together in Place as a Catalyst for Scientific Advance." Art. 104911. Research Policy 53, no. 2 (March 2024).
      • March 2024
      • Article

      What Makes Groups Emotional

      By: Amit Goldenberg
      When people experience emotions in a group, their emotions tend to have stronger intensity and to last longer. Why is that? This question has occupied thinkers throughout history, and with the use of digital media it is even more pressing today. Historically, attention... View Details
      Keywords: Groups and Teams; Emotions; Cognition and Thinking; Interpersonal Communication
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      Goldenberg, Amit. "What Makes Groups Emotional." Perspectives on Psychological Science 19, no. 2 (March 2024): 489–502.
      • February 2024
      • Article

      Conveying and Detecting Listening in Live Conversation

      By: Hanne Collins, Julia A. Minson, Ariella S. Kristal and Alison Wood Brooks
      Across all domains of human social life, positive perceptions of conversational listening (i.e., feeling heard) predict well-being, professional success, and interpersonal flourishing. But a fundamental question remains: Are perceptions of listening accurate? Prior... View Details
      Keywords: Interpersonal Communication; Behavior; Perception
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      Collins, Hanne, Julia A. Minson, Ariella S. Kristal, and Alison Wood Brooks. "Conveying and Detecting Listening in Live Conversation." Journal of Experimental Psychology: General 153, no. 2 (February 2024): 473–494.
      • 2024
      • Chapter

      Regulating Collective Emotions

      By: Amit Goldenberg
      When we think of emotion and emotion regulation, we typically think of them as processes occurring at the individual level. Even when emotions are experienced by multiple people who interact with each other, analysis is typically centered around individual-level... View Details
      Keywords: Groups and Teams; Emotions; Behavior
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      Goldenberg, Amit. "Regulating Collective Emotions." Chap. 22 in Handbook of Emotion Regulation. Third Edition edited by James J. Gross and Brett Q. Ford, 183–189. Guilford Press, 2024.
      • January 2024 (Revised February 2024)
      • Course Overview Note

      Managing Customers for Growth: Course Overview for Students

      By: Eva Ascarza
      Managing Customers for Growth (MCG) is a 14-session elective course for second-year MBA students at Harvard Business School. It is designed for business professionals engaged in roles centered on customer-driven growth activities. The course explores the dynamics of... View Details
      Keywords: Customer Relationship Management; Decision Making; Analytics and Data Science; Growth Management; Telecommunications Industry; Technology Industry; Financial Services Industry; Education Industry; Travel Industry
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      Ascarza, Eva. "Managing Customers for Growth: Course Overview for Students." Harvard Business School Course Overview Note 524-032, January 2024. (Revised February 2024.)
      • January 2024
      • Article

      Helping Children Catch Up: Early Life Shocks and the PROGRESA Experiment

      By: Achyuta Adhvaryu, Theresa Molina, Anant Nyshadham and Jorge Tamayo
      Can investing in children who faced adverse events in early childhood help them catch up? We answer this question using two orthogonal sources of variation – resource availability at birth (local rainfall) and cash incentives for school enrollment – to identify the... View Details
      Keywords: Children; Outcome or Result; Welfare; Early Childhood Education; Weather
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      Adhvaryu, Achyuta, Theresa Molina, Anant Nyshadham, and Jorge Tamayo. "Helping Children Catch Up: Early Life Shocks and the PROGRESA Experiment." Economic Journal 134, no. 657 (January 2024): 1–22.
      • January–February 2024
      • Article

      Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments

      By: Ryan W. Buell, Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan and Rengaraj Venkatesh
      Problem Definition: Clients and service providers alike often consider one-on-one service delivery to be ideal, assuming – perhaps unquestioningly – that devoting individualized attention best improves client outcomes. In contrast, in shared service delivery, clients... View Details
      Keywords: Health Care and Treatment; Customer Satisfaction; Outcome or Result; Performance Improvement
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      Buell, Ryan W., Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan, and Rengaraj Venkatesh. "Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments." Manufacturing & Service Operations Management 26, no. 1 (January–February 2024): 154–166.
      • November 2023
      • Case

      UST's Adoption of Open Talent

      By: Christopher Stanton and Kristen Senz
      This case details the 2020 launch and subsequent scaling of UST’s Open Talent initiative, a program to integrate freelancers from digital platforms into its workforce. The case highlights how the shifting post-pandemic world, including layoffs, wage inflation, and... View Details
      Keywords: Talent and Talent Management; Employment; Working Conditions; Organizational Change and Adaptation
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      Stanton, Christopher, and Kristen Senz. "UST's Adoption of Open Talent." Harvard Business School Case 824-117, November 2023.
      • 26 Oct 2023 - 28 Oct 2023
      • Other Presentation

      Interacting with Tech: Exploring Consumer Choices in the Age of Automation

      By: Julian De Freitas
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      De Freitas, Julian. "Interacting with Tech: Exploring Consumer Choices in the Age of Automation." In Special Session. Association for Consumer Research Annual Conference, Seattle, WA, United States, October 26–28, 2023.
      • 2022
      • Working Paper

      Why Do Index Funds Have Market Power? Quantifying Frictions in the Index Fund Market

      By: Zach Y. Brown, Mark Egan, Jihye Jeon, Chuqing Jin and Alex A. Wu
      Index funds are one of the most common ways investors access financial markets and are perceived to be a transparent and low-cost alternative to active investment management. Despite these purported virtues of index fund investing and the introduction of new products... View Details
      Keywords: Mutual Funds; Passive Investing; Asset Management; Financial Markets; Investment Funds; Financial Management; Financial Services Industry; United States
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      Brown, Zach Y., Mark Egan, Jihye Jeon, Chuqing Jin, and Alex A. Wu. "Why Do Index Funds Have Market Power? Quantifying Frictions in the Index Fund Market." Harvard Business School Working Paper, No. 24-019, October 2023. (NBER Working Paper Series, No. 31778, October 2023.)
      • October–December 2023
      • Article

      A Practical Guide to Conversation Research: How to Study What People Say to Each Other

      By: Michael Yeomans, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber and Alison Wood Brooks
      Conversation—a verbal interaction between two or more people—is a complex, pervasive, and consequential human behavior. Conversations have been studied across many academic disciplines. However, advances in recording and analysis techniques over the last decade have... View Details
      Keywords: Interpersonal Communication; Analytics and Data Science; Research
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      Yeomans, Michael, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber, and Alison Wood Brooks. "A Practical Guide to Conversation Research: How to Study What People Say to Each Other." Advances in Methods and Practices in Psychological Science 6, no. 4 (October–December 2023).
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