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- July 2022
- Article
The Passionate Pygmalion Effect: Passionate Employees Attain Better Outcomes in Part Because of More Preferential Treatment by Others
By: Ke Wang, Erica R. Bailey and Jon M. Jachimowicz
Employees are increasingly exhorted to “pursue their passion” at work. Inherent in this call is the belief that passion will produce higher performance because it promotes intrapersonal processes that propel employees forward. Here, we suggest that the pervasiveness of...
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- July 2022
- Article
When Alterations Are Violations: Moral Outrage and Punishment in Response to (Even Minor) Alterations to Rituals
By: Daniel H. Stein, Juliana Schroeder, Nicholas M. Hobson, Francesca Gino and Michael I. Norton
From Catholics performing the sign of the cross since the 4th century to Americans reciting the Pledge of Allegiance since the 1890s, group rituals (i.e., predefined sequences of symbolic actions) have strikingly consistent features over time. Seven studies (N = 4,213)...
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Keywords:
Ritual;
Morality;
Groups;
Norms;
Commitment;
Groups and Teams;
Values and Beliefs;
Change;
Moral Sensibility;
Behavior
- 2022
- Working Paper
Conduit Incentives: Eliciting Cooperation from Workers Outside of Managers' Control. Evidence from Hospital Hand Washing
By: Susanna Gallani
Can managers use monetary incentives to elicit cooperation from workers they cannot reward for their efforts? I study “conduit incentives,” an innovative incentive design, whereby managers influence bonus-ineligible workers’ effort by offering bonus-eligible employees...
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Keywords:
Organizational Behavior Modification;
Peer Monitoring;
Persistence Of Performance Improvements;
Crowding Out;
Implicit Incentives;
Compensation;
Healthcare;
Social Pressure;
Image Motivation;
Performance;
Behavior;
Motivation and Incentives;
Compensation and Benefits;
Governing Rules, Regulations, and Reforms;
Organizational Culture;
Health Industry
- 2022
- Working Paper
Can Evidence-Based Information Shift Preferences Towards Trade Policy?
By: Laura Alfaro, Maggie X. Chen and Davin Chor
We investigate the role of evidence-based information in shaping individuals' preferences for trade policies through a series of survey experiments that contain randomized information treatments. Each information treatment provides a concise statement of...
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- December 2021
- Article
Left- and Right-Leaning News Organizations Use Negative Emotional Content and Elicit User Engagement Similarly
By: Andrea Bellovary, Nathaniel Young and Amit Goldenberg
Negativity has historically dominated news content; however, little research has examined how news organizations use affect on social media, where content is generally positive. In the current project we ask a few questions: Do news organizations on Twitter use...
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Keywords:
Negative Press;
Twitter;
Political Affiliation;
Affect;
News;
Media;
Internet and the Web;
Emotions;
Perspective;
Social Media
- December 2021
- Article
Negativity Spreads More Than Positivity on Twitter after Both Positive and Negative Political Situations
By: Jonas Paul Schöne, Brian Parkinson and Amit Goldenberg
What type of emotional language spreads further in political discourses on social media? Previous research has focused on situations that primarily elicited negative emotions, showing that negative language tended to spread further. The current project extends existing...
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- October 2021
- Article
Shareholder Activism and Firms' Voluntary Disclosure of Climate Change Risks
By: Caroline Flammer, Michael W. Toffel and Kala Viswanathan
This paper examines whether—in the absence of mandated disclosure requirements—shareholder activism can elicit greater disclosure of firms’ exposure to climate change risks. We find that environmental shareholder activism increases the voluntary disclosure of climate...
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Keywords:
Transparency;
Reporting;
Shareholder Engagement;
Shareholder Activism;
Climate Change;
Risk and Uncertainty;
Environmental Management;
Investment Activism;
Corporate Disclosure;
Communication Strategy;
Information Publishing;
Measurement and Metrics;
Corporate Social Responsibility and Impact;
Problems and Challenges;
United States
- 2021
- Article
To Thine Own Self Be True? Incentive Problems in Personalized Law
By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate...
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Keywords:
Personalized Law;
Regulation;
Regulatory Avoidance;
Regulatory Arbitrage;
Law And Economics;
Law And Technology;
Law And Artificial Intelligence;
Futurism;
Moral Hazard;
Elicitation;
Signaling;
Privacy;
Law;
Governing Rules, Regulations, and Reforms;
Information Technology;
AI and Machine Learning
- May 2021 (Revised February 2022)
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...
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Keywords:
Data;
Data Analytics;
Artificial Intelligence;
AI;
AI Algorithms;
AI Creativity;
Fashion;
Retail;
Retail Analytics;
E-Commerce Strategy;
Platform;
Platforms;
Big Data;
Preference Elicitation;
Predictive Analytics;
App Development;
＂Marketing Analytics＂;
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
Online Advertising;
Referral Rewards;
Referrals;
Female Ceo;
Female Entrepreneur;
Female Protagonist;
Analytics and Data Science;
Analysis;
Creativity;
Marketing Strategy;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Forecasting and Prediction;
Marketing Channels;
Digital Marketing;
Internet and the Web;
Mobile and Wireless Technology;
AI and Machine Learning;
E-commerce;
Fashion Industry;
Retail Industry;
Apparel and Accessories Industry;
Consumer Products Industry;
United States
- Article
Missing the Near Miss: Recognizing Valuable Learning Opportunities in Radiation Oncology
By: Palak Kundu, Olivia Jung, Luca F. Valle, Amy C. Edmondson, Nzhde Agazaryan, John Hegde, Michael Steinberg and Ann Raldow
“Near miss” events are valuable low-cost learning opportunities in radiation oncology as they do not result in patient harm and are more pervasive than adverse events that do. Near misses vary depending on the presence of a latent error of behavior or process, and the...
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- March 2021
- Article
Deliberately Prejudiced Self-driving Vehicles Elicit the Most Outrage
By: Julian De Freitas and Mina Cikara
Should self-driving vehicles be prejudiced, e.g., deliberately harm the elderly over young children? When people make such forced-choices on the vehicle’s behalf, they exhibit systematic preferences (e.g., favor young children), yet when their options are unconstrained...
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- February 2021
- Case
Apple: Privacy vs. Safety (A)
By: Henry McGee, Nien-hê Hsieh and Christian Godwin
In 2015, Apple CEO Tim Cook debuted the iPhone 6S with enhanced security measures that enflamed a debate on privacy and public safety around the world. The iPhone 6S, amid a heightened concern for privacy following the 2013 revelation of clandestine U.S. surveillance...
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Keywords:
Iphone;
Encryption;
Data Privacy;
Customers;
Customer Focus and Relationships;
Decision Making;
Ethics;
Values and Beliefs;
Globalized Firms and Management;
Government and Politics;
National Security;
Law;
Law Enforcement;
Leadership;
Markets;
Safety;
Social Issues;
Corporate Social Responsibility and Impact;
Civil Society or Community;
Mobile Technology;
Technology Industry;
Consumer Products Industry;
Telecommunications Industry;
Electronics Industry;
United States;
China;
Hong Kong
- 2021
- Working Paper
Fairness or Control: What Determines Elected Local Leaders' Support for Hosting Refugees in Their Community?
By: Kristin Fabbe, Eleni Kyrkopoulou, Konstantinos Matakos and Asli Unan
When it comes to successful refugee reception the local level matters. Research overwhelmingly examines host communities' attitudes, but endorsement from local politicians is equally important to resolve conflicts and facilitate harmonious interaction. Yet, the...
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- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...
View Details
Keywords:
Data;
Data Analytics;
Artificial Intelligence;
AI;
AI Algorithms;
AI Creativity;
Fashion;
Retail;
Retail Analytics;
E-Commerce Strategy;
Platform;
Platforms;
Big Data;
Preference Elicitation;
Preference Prediction;
Predictive Analytics;
App Development;
＂Marketing Analytics＂;
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
Online Advertising;
Referral Rewards;
Referrals;
Female Ceo;
Female Entrepreneur;
Female Protagonist;
Analytics and Data Science;
Analysis;
Creativity;
Marketing Strategy;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Forecasting and Prediction;
Marketing Channels;
Digital Marketing;
Internet and the Web;
Mobile and Wireless Technology;
AI and Machine Learning;
E-commerce;
Fashion Industry;
Retail Industry;
Apparel and Accessories Industry;
Consumer Products Industry;
United States
- 2021
- Conference Presentation
Deliberately Prejudiced Self-driving Vehicles Elicit the Most Outrage
- 2021
- Conference Presentation
Deliberately Prejudiced Self-driving Vehicles Elicit the Most Outrage
By: J. De Freitas and M. Cikara
- July–September 2020
- Article
Innovation Contest: Effect of Perceived Support for Learning on Participation
By: Olivia Jung, Andrea Blasco and Karim R. Lakhani
Background: Frontline staff are well positioned to conceive improvement opportunities based on first-hand knowledge of what works and does not work. The innovation contest may be a relevant and useful vehicle to elicit staff ideas. However, the success of the...
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- June 2020
- Teaching Note
Understanding the Brand Equity of Nestlé Crunch Bar
By: Jill Avery and Gerald Zaltman
Teaching Note for HBS Case Nos. 519-061 and 519-062. In early 2018, Nestlé announced the sale of its U.S. candy-making division and a select collection of twenty of its confectionery brands, including the Nestlé Crunch Bar, to Ferrero SpA for $2.8 billion. Under the...
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- 2021
- Conference Presentation
An Algorithmic Framework for Fairness Elicitation
By: Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton and Zhiwei Steven Wu
We consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders....
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- April 2020
- Article
Field Comparisons of Incentive-Compatible Preference Elicitation Techniques
By: Shawn A. Cole, A. Nilesh Fernando, Daniel Stein and Jeremy Tobacman
Knowledge of consumer demand is important for firms, policy makers, and economists. One common tool for incentive-compatible demand elicitation, the Becker-DeGroot-Marschak (BDM) mechanism, has been widely used in laboratory settings but rarely evaluated for...
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