Publications
Publications
Show Results For
- All HBS Web
(4,616)
- Faculty Publications (695)
- June 2023 (Revised July 2023)
- Case
Social Media Background Screening at Fama Technologies
By: Joseph Pacelli, Jillian Grennan and Alexis Lefort
Fama Technologies is an online screening company that uses AI to analyze job applicants' publicly available online content for signs of risk and culture fit. The case opens with Ben Mones, founder and CEO, looking to secure funding from venture firms. He is running... View Details
- 2023
- Working Paper
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness
By: Neil Menghani, Edward McFowland III and Daniel B. Neill
In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details
- 2023
- Working Paper
Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data
By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman
To mitigate information asymmetry about borrowers in developing economies, digital lenders utilize machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details
- May 9, 2023
- Article
8 Questions About Using AI Responsibly, Answered
By: Tsedal Neeley
Generative AI tools are poised to change the way every business operates. As your own organization begins strategizing which to use, and how, operational and ethical considerations are inevitable. This article delves into eight of them, including how your organization... View Details
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
- April 2023
- Article
Inattentive Inference
By: Thomas Graeber
This paper studies how people infer a state of the world from information structures that include additional, payoff-irrelevant states. For example, learning from a customer review about a product’s quality requires accounting for the reviewer’s otherwise irrelevant... View Details
- April 2023
- Article
Learning Down to Train Up: Mentors Are More Effective When They Value Insights from Below
By: Ting Zhang, Dan Wang and Adam D. Galinsky
Although mentorship is vital for individual success, potential mentors often view it as a costly burden. To understand what motivates mentors to overcome this barrier and more fully engage with their mentees, we introduce a new construct, learning direction, which... View Details
- 2023
- Working Paper
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
- March 2023 (Revised May 2023)
- Case
OneTen at Delta Air Lines: Catalyzing Family-Sustaining Careers for Black Talent (A)
By: Linda A. Hill and Lydia Begag
It was December 10, 2020, and Ed Bastian, the Chief Executive Officer (CEO) of Delta Air Lines (Delta), had just finished a meeting with Joanne Smith, Executive Vice President and Chief People Officer, and Keyra Lynn Johnson, the Chief Diversity and Inclusion Officer.... View Details
- March 2023 (Revised June 2023)
- Case
Pratham 2.0: Sustaining Innovation
By: Brian Trelstad, Samantha Webster and Malini Sen
Pratham is a Mumbai-based nonprofit, which focuses on high-quality, low-cost, and replicable interventions to address gaps in India’s education system. From inception, it has pioneered innovation, from early childhood learning centers to adaptive literacy programs, to... View Details
- 2023
- Working Paper
Translating Information into Action: A Public Health Experiment in Bangladesh
By: Reshmaan Hussam, Kailash Pandey, Abu Shonchoy and Chikako Yamauchi
While models of technology adoption posit learning as the basis of behavior change, information campaigns in public health frequently fail to change behavior. We design an information campaign embedding hand-hygiene edutainment within popular dramas using mobile... View Details
- 2023
- Working Paper
Senior Team Emotional Dynamics and Strategic Decision Making at a Platform Transition
By: Timo O. Vuori and Michael L. Tushman
Based on an inductive case study, we develop an emotional-temporal process model of an incumbent’s
strategic decision making at a platform transition. We describe the senior team’s emotional response to
this transition and the impact of these emotions on their... View Details
- 2023
- Working Paper
Sending Signals: Strategic Displays of Warmth and Competence
By: Bushra S. Guenoun and Julian J. Zlatev
Using a combination of exploratory and confirmatory approaches, this research examines how
people signal important information about themselves to others. We first train machine learning
models to assess the use of warmth and competence impression management... View Details
- February 2023 (Revised January 2024)
- Case
Ronald Reagan: Changing the World
By: Robert Simons and Shirley Sun
This case traces the rise of Ronald Reagan from small town Illinois to two-term president of the United States. An unlikely candidate for the world’s most powerful job, the case describes the different roles that Reagan filled over his life: radio announcer, Hollywood... View Details
- February 2023
- Article
The Effect of Systems of Management Controls on Honesty in Managerial Reporting
By: Aishwarrya Deore, Susanna Gallani and Ranjani Krishnan
While budgetary controls with capital rationing are optimal in theory and widespread in practice, empirical research documents their association with higher employee dishonesty compared to budgetary controls without rationing. In this study, we examine whether... View Details
- 2023
- Working Paper
'It Wouldn’t Have Mattered Anyway': When Overdetermined Outcomes Justify Our Sins
By: Stephanie C. Lin, Julian J. Zlatev and Dale T. Miller
We identify and document an “overdetermined outcome defense” which occurs when one learns
that circumstances besides one’s own actions were sufficient to produce a negative effect (e.g.,
deciding not to go to the gym, but later discovering that the gym had been... View Details
- 2023
- Working Paper
The Link Between Integrative Bargaining and Leadership Evaluations
By: Julian J. Zlatev and Francis J. Flynn
We draw from implicit leadership theory and the dual concern theory of conflict resolution to posit a link
between negotiation style and leadership evaluations. Specifically, we propose that individuals who are
more skilled at integrative, but not distributive,... View Details
- January 2023 (Revised May 2023)
- Case
Steve Jobs: Changing the World
By: Robert Simons and Shirley Sun
This case traces the life of Steve Jobs who throughout his career flaunted convention and chose an unusual path to success. The case describes how Jobs, as young man, acquired an appreciation for aesthetics and the liberal arts, but was also quick to recognize and... View Details
- 8 Sep 2023
- Conference Presentation
Chatbots and Mental Health: Insights into the Safety of Generative AI
By: Julian De Freitas, K. Uguralp, Z. Uguralp and Stefano Puntoni
- January–February 2023
- Article
Triadic Advocacy Work
By: Summer R. Jackson and Katherine C. Kellogg
Scholars of street-level bureaucracy and institutional research focus primarily on the relationships between advocates and their larger bureaucratic and social systems, assuming that advocates have little need to satisfy their beneficiaries. We find otherwise in our... View Details