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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
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
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
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
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
- 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
- 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
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
- 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
- Teaching Interest
Overview
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
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
- 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
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
- 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
- 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
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