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- 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
- June 2024
- Article
Stereotypes and Belief Updating
By: Katherine B. Coffman, Manuela Collis and Leena Kulkarni
We explore how feedback shapes, and perpetuates, gender gaps in self-assessments. Participants in our experiment take tests of their ability across different domains. We elicit their beliefs of their performance before and after feedback. We find that, even after the... View Details
- Working Paper
An AI Method to Score Celebrity Visual Potential from Human Faces
By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton
Celebrities have extraordinary abilities to attract and influence others. Predicting celebrity visual potential is important in the domains of business, politics, media, and entertainment. Can we use human faces to predict celebrity visual potential? If so, which... View Details
- October 2023
- Teaching Note
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Tim Englehart
Teaching Note for HBS Case No. 422-085. Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that... View Details
- December 2022
- Article
The Rise of People Analytics and the Future of Organizational Research
By: Jeff Polzer
Organizations are transforming as they adopt new technologies and use new sources of data, changing the experiences of employees and pushing organizational researchers to respond. As employees perform their daily activities, they generate vast digital data. These data,... View Details
- 2022
- Working Paper
Are Experts Blinded by Feasibility?: Experimental Evidence from a NASA Robotics Challenge
By: Jacqueline N. Lane, Zoe Szajnfarber, Jason Crusan, Michael Menietti and Karim R. Lakhani
Resource allocation decisions play a dominant role in shaping a firm’s technological trajectory and competitive advantage. Recent work indicates that innovative firms and scientific institutions tend to exhibit an anti-novelty bias when evaluating new projects and... View Details
- May 2022
- Case
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Stefani Ruper
Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that she accepted your resignation.” Heart... View Details
- January–February 2022
- Article
Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion
By: Ryan Allen and Prithwiraj Choudhury
How does a knowledge worker’s level of domain experience affect their algorithm-augmented work performance? We propose and test theoretical predictions that domain experience has countervailing effects on algorithm-augmented performance: on one hand, domain experience... View Details
- 2022
- Working Paper
Rethinking Explainability as a Dialogue: A Practitioner's Perspective
By: Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan and Sameer Singh
As practitioners increasingly deploy machine learning models in critical domains such as healthcare, finance, and policy, it becomes vital to ensure that domain experts function effectively alongside these models. Explainability is one way to bridge the gap between... View Details
- September 2021
- Article
Gender Stereotypes in Deliberation and Team Decisions
By: Katherine B. Coffman, Clio Bryant Flikkema and Olga Shurchkov
We explore how groups deliberate and decide on ideas in an experiment with communication. We find that gender biases play a significant role in which group members are chosen to answer on behalf of the group. Conditional on the quality of their ideas, individuals are... View Details
- Article
Learning Models for Actionable Recourse
By: Alexis Ross, Himabindu Lakkaraju and Osbert Bastani
As machine learning models are increasingly deployed in high-stakes domains such as legal and financial decision-making, there has been growing interest in post-hoc methods for generating counterfactual explanations. Such explanations provide individuals adversely... View Details
- Article
What Is Your Status Portfolio? Higher Status Variance across Groups Increases Interpersonal Helping but Decreases Intrapersonal Well-being
By: Catarina R. Fernandes, Siyu Yu, Taeya M. Howell, Alison Wood Brooks, Gavin J. Kilduff and Nathan C. Pettit
Individuals belong to multiple groups across various domains of life, which in aggregate constitute a portfolio of potentially distinct levels of experienced status. We propose a two-factor model for assessing the effects of an individual’s status portfolio, based on... View Details
- 2020
- Working Paper
Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion
By: Ryan Allen and Prithwiraj Choudhury
Past research offers mixed perspectives on whether domain experience helps or hurts algorithm-augmented work performance. To reconcile these perspectives, we theorize that domain experience affects algorithm-augmented performance via two distinct countervailing... View Details
- January 2020
- Article
Jack of All Trades and Master of Knowledge: The Role of Diversification in New Distant Knowledge Integration
By: Frank Nagle and Florenta Teodoridis
We consider the role of individual-level diversification as a mechanism through which skilled researchers engage in successful exploration—recognizing and integrating new knowledge external to one’s domains of expertise. To approach an ideal experiment, we (1) employ a... View Details
- September 2019 (Revised February 2020)
- Teaching Note
Commonwealth Bank of Australia: Unbanklike Experimentation
By: Ryan W. Buell and Leslie K. John
Email mking@hbs.edu for a courtesy copy.
This Teaching Note explains the theory of the case and teaching plan for the case: Commonwealth Bank of Australia: Unbanklike Experimentation (619-018). In August 2017,... View Details
This Teaching Note explains the theory of the case and teaching plan for the case: Commonwealth Bank of Australia: Unbanklike Experimentation (619-018). In August 2017,... View Details
- October 2018 (Revised February 2020)
- Case
Commonwealth Bank of Australia: Unbanklike Experimentation
By: Ryan W. Buell and Leslie K. John
Email mking@hbs.edu for a courtesy copy.
In August 2017, Commonwealth Bank of Australia was looking for ways to differentiate itself from competing banks and was also trying to improve the financial well-being of... View Details
In August 2017, Commonwealth Bank of Australia was looking for ways to differentiate itself from competing banks and was also trying to improve the financial well-being of... View Details
- Article
Enacting Rituals to Improve Self-control
By: D. A. Tian, J. Schroeder, G. Haubl, J. Risen, M. I. Norton and F. Gino
Rituals are predefined sequences of actions characterized by rigidity and repetition. We propose that enacting ritualized actions can enhance subjective feelings of self-discipline, such that rituals can be harnessed to improve behavioral self-control. We test this... View Details
- Article
Offline Showrooms in Omni-channel Retail: Demand and Operational Benefits
By: David R. Bell, Santiago Gallino and Antonio Moreno
Omnichannel environments where customers shop online and offline at the same retailer are ubiquitous and are deployed by online-first and traditional retailers alike. We focus on the relatively understudied domain of online-first retailers and the engagement of a key... View Details
- 2017
- Working Paper
Equality and Equity in Compensation
By: Jiayi Bao and Andy Wu
Equity compensation is widely used for incentivizing skilled employees, particularly in new technology businesses. Traditional theories explaining why firms offer equity suggest that workers with higher rank should receive compensation packages more heavily weighted in... View Details
- Article
Don't Stop Believing: Rituals Improve Performance by Decreasing Anxiety
By: Alison Wood Brooks, Julianna Schroeder, Jane Risen, Francesca Gino, Adam D. Galinsky, Michael I. Norton and Maurice Schweitzer
From public speaking to first dates, people frequently experience performance anxiety. And when experienced immediately before or during performance, anxiety harms performance. Across a series of experiments, we explore the efficacy of a common strategy that people... View Details