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- Fall 2024
- Article
The Problem of Good Conduct Among Financial Advisers
By: Mark Egan, Gregor Matvos and Amit Seru
Households in the United States often rely on financial advisers for investment and savings decisions, yet there is a widespread perception that many advisers are dishonest. This distrust is not unwarranted: approximately one in fifteen advisers has a history of... View Details
- 2024
- Working Paper
Generative AI and the Nature of Work
By: Manuel Hoffmann, Sam Boysel, Frank Nagle, Sida Peng and Kevin Xu
Recent advances in artificial intelligence (AI) technology demonstrate considerable potential to
complement human capital intensive activities. While an emerging literature documents wide-ranging productivity
effects of AI, relatively little attention has been paid... View Details
- October 10, 2024
- Article
Characteristics of Creative Individuals: An Umbrella Review Protocol
By: Alex Thabane, Tyler McKechnie, Phillip Staibano, Goran Calic, Colin Kruse, Jason W. Busse, Samee Parpia and Mohit Bhandari
The properties of creative products–novelty and usefulness–are generally agreed upon by researchers. Yet, consensus is lacking on which personal and environmental factors contribute to an individual’s creative potential, or to what extent. substantial research work has... View Details
- September–October 2024
- Article
The Art of Leading Teammates
By: Tom Brady and Nitin Nohria
When our society talks about leaders, we focus on formal roles, such as the CEO. This view undervalues the role of informal leaders—team members who influence outcomes by the tone they set, how they conduct themselves, and how they interact with their peers. Their job... View Details
- September 2024
- Exercise
Assessing the Value of Unifying and De-Duplicating Customer Data
By: Elie Ofek and Hema Yoganarasimhan
This exercise provides an opportunity for students to gain hands on experience with assessing the value of unifying various customer databases that a firm may have (e.g., across the different brands it markets) and of properly identifying customers to avoid duplication... View Details
- 2024
- Working Paper
Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python
By: Melissa Ouellet and Michael W. Toffel
This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details
- Fall 2024
- Article
The Credit Rating Agency Market in Africa: Landscape and Future Research Directions
By: Saveshen Pillay and Anywhere Sikochi
We explore the role of credit ratings in global markets and highlight potential opportunities for research on the African credit rating agency market. We trace the evolution of credit ratings and conduct a comprehensive literature review of existing studies globally... View Details
- 2024
- Working Paper
The New Digital Divide
By: Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia and Juan Lavista Ferres
We build and analyze new metrics of digital usage that leverage telemetry data collected by Microsoft during operating system updates across forty million Windows devices in U.S. households. These measures of US household digital usage are much more comprehensive than... View Details
- September–October 2024
- Article
Where Data-Driven Decision-Making Can Go Wrong
By: Michael Luca and Amy C. Edmondson
When considering internal data or the results of a study, often business leaders either take the evidence presented as gospel or dismiss it altogether. Both approaches are misguided. What leaders need to do instead is conduct rigorous discussions that assess any... View Details
- August 2024
- Case
Ashesi University: The Journey from Vision to Reality
By: Ranjay Gulati and Caroline de Lacvivier
In 1997, Patrick Awuah had a dream: to bring liberal arts education to Ghana. Amid the country’s declining economy and pervasive corruption problems, Awuah saw education as an opportunity to reverse its fortunes by investing in the next generation of African leaders.... View Details
- 2024
- Working Paper
The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations
By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
The rise of generative artificial intelligence (AI) is transforming creative problem-solving, necessitating new approaches for evaluating innovative solutions. This study explores how human-AI collaboration can enhance early-stage evaluations, focusing on the interplay... View Details
- 2024
- Working Paper
Modest Victims: Victims Who Decline to Broadcast Their Victimization Are Seen As Morally Virtuous
By: Nathan Dhaliwal, Jillian J. Jordan and Pat Barclay
What do people think of victims who conceal their victimhood? We propose that the decision to not broadcast that one has been victimized serves as a costly act of modesty—in doing so, one is potentially forgoing social support and compensation from one’s community. We... View Details
- 2024
- Article
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules
By: Michael Lingzhi Li and Kosuke Imai
A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across... View Details
- Winter 2024
- Article
Return to Office Decisions: A Culture Question?
By: Yo-Jud Cheng and Boris Groysberg
Company culture is an important source of competitive advantage and differentiation. Even in times of
crisis, leaders must attend to their company’s culture, designing it in alignment with their strategy and
priorities. One of the most consequential decisions
that... View Details
- July 2024
- Technical Note
Intellectual Property in Tough Tech Ventures
By: Joshua Lev Krieger, Jim Matheson, Russ Wilcox and Mel Martin
This note explains the crucial role of intellectual property rights (IPR), particularly patents, in the success of tough tech ventures (TTVs). It outlines the patent system's mechanics, emphasizing utility patents and their requirements for novelty, non-obviousness,... View Details
Keywords: Intellectual Property
- July 10, 2024
- Article
Designing a Successful Reskilling Program
In this article, written as a follow up to the award-winning “Reskilling in the Age of AI”, the authors report the results of a reskilling survey that they conducted with chief human resource officers from approximately 1,200 organizations in the U.S., along with... View Details
- 2024
- Working Paper
Digital Platforms 2.0: Learnings, Opportunities, and Challenges
By: Shrabastee Banerjee, Ishita Chakraborty, Hana Choi, Hannes Datta, Remi Daviet, Chiara Farronato, Minkyung Kim, Anja Lambrecht, Puneet Manchanda, Aniko Oery, Ananya Sen, Marshall W Van Alstyne, Prasad Vana, Kenneth C Wilbur, Xu Zhang and Bobby Zhou
Platform-based digital ecosystems form the backbone of our interactions with the Internet. Over the past decade, digital ecosystems have witnessed significant growth, both in terms of industry footprint and academic research. Yet, the challenges associated with their... View Details
- 2024
- Working Paper
The Value of Silence: The Effect of UMG’s Licensing Dispute with TikTok on Music Demand
By: Mengjie (Magie) Cheng, Elie Ofek and Hema Yoganarasimhan
Social media platforms like TikTok have transformed how music is discovered, consumed, and
monetized. This study examines the implications of the dispute between TikTok and Universal Music
Group (UMG), which resulted in UMG excluding its music from TikTok from... View Details
- 2024
- Working Paper
Webmunk: A New Tool for Studying Online Behavior and Digital Platforms
By: Chiara Farronato, Audrey 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
- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details