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March 2025 (Revised April 2025)
Case

Perplexity: Redefining Search

By: Suraj Srinivasan, Michelle Hu, Sriraghav Srinivasan and Radhika Kak

By early 2025, Perplexity had rapidly evolved from a modest startup into a popular "answer engine" valued at $9 billion. The company had boldly positioned itself as the disruptor to Google aiming to redefine search for the AI age. Through novel AI... View Details

Keywords: AI and Machine Learning; Venture Capital; Innovation Leadership; Technological Innovation; Internet and the Web; Business Startups; Competitive Strategy; Technology Industry; United States

February 2025
Case

Luca de Meo at Renault Group (A)

By: Emily Truelove, Linda A. Hill and Lydia Begag

When Luca de Meo became CEO of Renault Group in 2020, the 122-year-old French automaker faced financial challenges and the double technological disruption of the automotive industry: the shift to electric vehicles (EVs) and the rise of software-defined vehicles (SDVs).... View Details

February 2025
Case

Luca de Meo at Renault Group (A) (Abridged)

By: Emily Truelove, Linda A. Hill and Lydia Begag

When Luca de Meo became CEO of Renault Group in 2020, the 122-year-old French automaker faced financial challenges and the double technological disruption of the automotive industry: the shift to electric vehicles (EVs) and the rise of software-defined vehicles (SDVs).... View Details

2025
Article

Emotion Regulation Contagion Drives Reduction in Negative Intergroup Emotions

By: Michael Pinus, Yajun Cao, Eran Halperin, Alin Coman, James J. Gross and Amit Goldenberg

When emotions occur in groups, they sometimes impact group behavior in undesired ways. Reducing group’s emotions with emotion regulation interventions can be helpful, but may also be a challenge, because treating every person in the group is often infeasible. One... View Details

Keywords: Emotion Contagion; Emotion; Emotion Regulation; Groups and Teams; Emotions; Conflict and Resolution

January 2025
Supplement

Colbún’s Angostura Dam Project (B)

By: James K. Sebenius and Nicolas Andrade

The A case describes Colbún Chile’s plans for the Angostura dam in the Bío Bío River, a hydroelectric construction venture with major challenges given the region’s history of indigenous resistance. This context was especially unfavorable given the highly contentious... View Details

Keywords: Bargaining; Conflict Resolution; Dam; Stakeholder Analysis; Environmental Negotiation; Negotiation; Chile

January 2025
Case

Colbún's Angostura Dam Project (A)

By: James K. Sebenius and Nicolas Andrade

The A case describes Colbún Chile’s plans for the Angostura dam in the Bío Bío River, a hydroelectric construction venture with major challenges given the region’s history of indigenous resistance. This context was especially unfavorable given the highly contentious... View Details

Keywords: Bargaining; Conflict Resolution; Dam; Stakeholder Analysis; Environmental Negotiation; Negotiation; Energy Generation; Construction; Business and Stakeholder Relations; Conflict and Resolution; Energy Industry; Chile

2025
Working Paper

The Hidden Costs of Working Multiple Jobs: Implications for Spending Behavior and Wellbeing

By: Paige Tsai and Ryan W. Buell

Problem definition: Amidst inflation, rising costs of living, an explosion in remote and gig working opportunities, and an increase in the part-time labor mix in economies around the world, it is becoming evermore commonplace for people to earn labor income... View Details

Keywords: Behavioral Operations; Employee Behavior; Job Design and Levels; Personal Finance; Well-being; Happiness; Satisfaction; Wages

January 24, 2025
Article

Behaviorally Designed Training Leads to More Diverse Hiring

By: Cansin Arslan, Edward H. Chang, Siri Chilazi, Iris Bohnet and Oliver P. Hauser

Many organizations have shown interest in increasing the diversity of their workforces for various reasons. Collectively, they have spent millions of dollars and countless employee hours on diversity training. Yet, there is little empirical evidence that such training... View Details

Keywords: Training; Diversity; Selection and Staffing; Behavior; Outcome or Result; Organizational Change and Adaptation

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January–February 2025
Article

Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing

By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley

For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details

Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage

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October 2024
Article

Sampling Bias in Entrepreneurial Experiments

By: Ruiqing Cao, Rembrand Koning and Ramana Nanda

Using data from a prominent online platform for launching new digital products, we document that ‘sampling bias’—defined as the difference between a startup’s target customer base and the actual sample on which early ‘beta tests’ are conducted—has a systematic and... View Details

Keywords: Target Market; Sampling Biases; Beta Testing; Product Launch; Entrepreneurship; Gender

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October 2024
Supplement

Skills-First Hiring at IBM

By: Boris Groysberg and Sarah Mehta

A video supplement to accompany "Skills-First Hiring at IBM" (case no. 422-013) View Details

Keywords: Competency and Skills; Experience and Expertise; Talent and Talent Management; Human Resources; Employees; Recruitment; Retention; Selection and Staffing; Jobs and Positions; Job Design and Levels; Job Interviews; Society; Social Issues; Technology Industry; United States; New York (state, US)

September–October 2024
Article

How AI Can Power Brand Management

By: Julian De Freitas and Elie Ofek

Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it... View Details

Keywords: Creativity; AI and Machine Learning; Brands and Branding; Product Positioning; Customer Focus and Relationships

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August 2024 (Revised September 2024)
Case

Dishoom: From Bombay with Love

By: Anjali M. Bhatt and Thomas J. DeLong

Shamil and Kavi Thakrar, co-founders of Dishoom, faced critical decisions as they looked to expand the UK-based restaurant group. Shamil, the CEO, was confident in Dishoom's potential for growth but he was concerned about preserving the culture and values centered... View Details

Keywords: Human Resource Management; Growth And Scaling; Organizational Culture; Values and Beliefs; Growth Management; Expansion; United Kingdom

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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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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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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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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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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June 2024
Teaching Note

Skills-First Hiring at IBM

By: Boris Groysberg and Sarah Mehta

Teaching note for “Skills-First Hiring at IBM,” case no. 422-013. View Details

Keywords: Competency and Skills; Experience and Expertise; Talent and Talent Management; Human Resources; Human Capital; Employees; Recruitment; Retention; Selection and Staffing; Jobs and Positions; Job Design and Levels; Job Interviews; Society; Societal Protocols; Technology Industry; United States; New York (state, US)

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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