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Publications

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    • All HBS Web  (1,969)
      • Faculty Publications  (436)

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      • March 1981 (Revised April 1993)
      • Case

      Sedalia Engine Plant (A)

      By: Michael Beer
      The new plant manager must deal with the problems and potentials contained in this highly participatory management style plant. View Details
      Keywords: Factories, Labs, and Plants; Employee Relationship Management; Management Style; Problems and Challenges; Labor and Management Relations; Technology Industry
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      Beer, Michael. "Sedalia Engine Plant (A)." Harvard Business School Case 481-148, March 1981. (Revised April 1993.)
      • March 1981 (Revised April 1983)
      • Case

      Sedalia Engine Plant (B)

      By: Michael Beer
      After one year as new plant manager at a highly participatory management style plant, Denny Goble assesses his handling of various problems. View Details
      Keywords: Factories, Labs, and Plants; Employee Relationship Management; Management Style; Problems and Challenges; Labor and Management Relations; Technology Industry
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      Beer, Michael. "Sedalia Engine Plant (B)." Harvard Business School Case 481-149, March 1981. (Revised April 1983.)
      • Forthcoming
      • Article

      An AI Method to Score Celebrity Visual Potential from Human Faces

      By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton
      It has long been a mantra of marketing practice that, particularly in low-involvement situations, spokespeople should be physically attractive. This paper suggests there is a higher probability of gaining fame and influence (i.e., celebrity potential) than is captured... View Details
      Keywords: Personal Characteristics; AI and Machine Learning; Forecasting and Prediction; Marketing
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      Feng, Flora, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan, and Cait Lamberton. "An AI Method to Score Celebrity Visual Potential from Human Faces." Journal of Marketing Research (JMR) (forthcoming).
      • Article

      Don’t let an AI failure harm your brand

      By: Julian De Freitas
      How companies market their AI systems affects the repercussions they face when their products fail. Marketers must promote their AI products with potential failure in mind. To do that, they must first understand consumers’ unique attitudes toward AI. Marketers who... View Details
      Keywords: AI and Machine Learning; Brands and Branding; Product Marketing; Consumer Behavior; Attitudes
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      De Freitas, Julian. "Don’t let an AI failure harm your brand." Harvard Business Review (in press).
      • Forthcoming
      • Article

      Engaging Customers with AI in Online Chats: Evidence from a Randomized Field Experiment

      By: Shunyuan Zhang and Das Narayandas
      We examine how artificial intelligence (AI) affected the productivity of customer service agents and customer sentiment in online interactions. Collaborating with a meal delivery company, we conducted a randomized field experiment that exploited exogenous variation in... View Details
      Keywords: AI and Machine Learning; Customer Focus and Relationships; Performance Efficiency
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      Zhang, Shunyuan, and Das Narayandas. "Engaging Customers with AI in Online Chats: Evidence from a Randomized Field Experiment." Management Science (forthcoming).
      • Forthcoming
      • Article

      Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation

      By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
      Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
      Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
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      Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming).
      • 2025
      • Article

      Ideation with Generative AI—In Consumer Research and Beyond

      By: Julian De Freitas, G. Nave and Stefano Puntoni
      The use of large language models (LLMs) in consumer research is rapidly evolving, with applications including synthetic data generation, data analysis, and more. However, their role in creative ideation—a cornerstone of consumer research—remains underexplored. Drawing... View Details
      Keywords: Large Language Model; AI and Machine Learning; Creativity; Innovation Strategy
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      De Freitas, Julian, G. Nave, and Stefano Puntoni. "Ideation with Generative AI—In Consumer Research and Beyond." Journal of Consumer Research (2025).
      • Forthcoming
      • Article

      Mitigating the Negative Effects of Customer Anxiety Through Access to Human Contact

      By: Michelle A. Kinch and Ryan W. Buell
      Prior research in social psychology has shown that when people feel anxious, they seek advice from others. However, companies that operate in high-anxiety settings (like financial services, health care, and education) are increasingly deploying self-service... View Details
      Keywords: Anxiety; Self-service; Empirical Operations; Behavioral Operations; Communication Technology; Behavior; Customer Focus and Relationships; Trust; Satisfaction; Financial Services Industry
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      Kinch, Michelle A., and Ryan W. Buell. "Mitigating the Negative Effects of Customer Anxiety Through Access to Human Contact." Management Science (forthcoming).
      • Teaching Interest

      Overview

      By: Ethan S. Bernstein
      Professor Bernstein currently teaches a second-year MBA course in Managing Human Capital (MHC). He is also the faculty chair for the Harvard Business School Online Developing Yourself as a Leader course and teaches in a variety of executive education... View Details
      Keywords: Leadership; Leadership Development; Leadership Style; Innovation Leadership; Management Practices and Processes; Management Succession; Management Style; Management Systems; Management Teams; Managerial Roles; Organizations; Organizational Culture; Organizational Design; Organizational Structure; Mission and Purpose; Organizational Change and Adaptation; Performance; Information Technology; Strategy; Human Resources; Compensation and Benefits; Employees; Recruitment; Resignation and Termination; Retention; Selection and Staffing
      • Research Summary

      Overview

      By: Ethan S. Bernstein
      I have spent my career studying novel talent management practices and their effect on collaboration and performance. My core research focuses on two interrelated organizational trends that have become salient in the 21st century: workplace transparency (who gets to... View Details
      Keywords: Privacy; Transparency; Productivity; Field Experiments; Communication; Design; Human Resources; Leadership; Management; Organizational Design; Organizational Structure; Performance; Groups and Teams; Networks; Behavior; Social and Collaborative Networks; Satisfaction; North America; Europe; Asia; China; Japan; Latin America
      • Research Summary

      Overview

      By: John A. Deighton
      Professor Deighton conducts research at the intersection of information technology and marketing. He is interested in the complementary uses of human and artificial intelligence and creativity in areas such as advertising, content creation, and online retailing. He... View Details
      Keywords: Marketing; Media; Information Technology; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; North and Central America; Asia; Europe
      • Teaching Interest

      The Business of Entertainment, Media, and Sports (Executive Education)

      By: Anita Elberse
      In the business of entertainment, digital technologies are dramatically disrupting the way products are developed, marketed, and distributed. As a result of this paradigm shift, entertainment executives and content producers are challenged to effectively allocate... View Details
      • Research Summary

      The Unexpected Effects of Workplace Connectivity

      By: Ethan S. Bernstein

      While investigating how workplace transparency and privacy shape organizational behavior and performance, I wondered about the related effects of workplace connectivity. As new digital tools and organizational forms make it far easier for employees to communicate... View Details

      Keywords: Human Behavior; Performance; Virtual Work; Hybrid Work; Office Space; Workplace Design; Organizations; Organizational Design; Organizational Structure; Groups and Teams; Networks; Behavior; Social and Collaborative Networks; Communication
      • Research Summary

      Trust

      By: Sandra J. Sucher

      In this research, I aim to provide a practical orientation to trust—how to build it, how it can be damaged, how it might be repaired—grounded in my experience as an executive and in the research on organizational trust and moral philosophy. As a case researcher, I... View Details

      Keywords: Power; Globalization; Leadership; Corporate Culture; Future Of Work; Innovation; Human Resources; Technology Strategy; Automation; Stakeholder Engagement; Employee Attitude; Customer Behavior; Shareholder Value; Government And Business; Impact Investing; Corporate Accountability; Corporate Change And Sustainability; Asia; Europe; South America; Middle East; North And Central America; Trust; Asia; Europe; South America; Middle East; North and Central America
      • Article

      Unregulated Emotional Risks of AI Wellness Apps

      By: Julian De Freitas and Glenn Cohen
      We propose that AI-driven wellness apps powered by large language models can foster extreme emotional attachments and dependencies akin to human relationships—posing risks like ambiguous loss and dysfunctional dependence—that challenge current regulatory frameworks and... View Details
      Keywords: AI and Machine Learning; Well-being; Emotions; Governing Rules, Regulations, and Reforms
      Citation
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      De Freitas, Julian, and Glenn Cohen. "Unregulated Emotional Risks of AI Wellness Apps." Nature Machine Intelligence (in press).
      • Research Summary

      Work, Mate, Marry, Love: How Machines Shape Our Human Destiny

      By: Debora L. Spar
      What will happen to our notions of marriage and parenthood as reproductive technologies increasingly allow for newfangled ways of creating babies? What will happen to our understanding of gender as medical advances enable individuals to transition from one set of... View Details
      Keywords: Technology; History; Relationships
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