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2025
Book

The World Is Your Office: How Work from Anywhere Boosts Talent, Productivity, and Innovation

By: Prithwiraj Choudhury

A research-based look at a growing phenomenon—companies allowing their employees to work from anywhere in the world—and how those who adopt this model can boost talent, innovation, and productivity.
In recent years, companies in a wide range of industries have... View Details

January 2025
Technical Note

AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix

By: Tsedal Neeley

This technical note introduces the confusion matrix as a foundational tool in artificial intelligence (AI) and large language models (LLMs) for assessing the performance of classification models, focusing on their reliability for decision-making. A confusion matrix... View Details

Keywords: AI; Reliability; Confusion Matrix

January 2025
Case

Untapped Global: Financing Africa’s Missing Middle

By: Raymond Kluender and Emanuele Colonnelli

In November 2024, Jim Chu, founder and CEO of Untapped Global, faced mounting internal tensions over the company’s strategic direction. Untapped had developed a data-driven revenue-based financing (RBF) model to address the “missing middle” problem—the $5.2 trillion... View Details

2025
Working Paper

Crossing the Design-Use Divide: How Process Manipulation Shapes the Design and Use of AI

By: Rebecca Karp

Existing literature often separates research on the design of innovations from their implementation and use, neglecting the role of selection—how organizations choose which innovations to implement. Although scholars suggest scientific approaches for selecting novel... View Details

January 2025
Supplement

Hippo: Weathering the Storm of the Home Insurance Crisis (B)

By: Lauren Cohen, Grace Headinger and Sophia Pan

Rick McCathron, CEO of Hippo, was optimistic about the InsurTech's path to profitability after navigating the financial uncertainties of 2022. By bundling their home insurance services with third-parties and established insurance incumbents, Hippo was adopting a... View Details

Working Paper

AI in Disguise—How AI-generated Ads' Visual Cues Shape Consumer Perception and Performance

By: Yannick Exner, Jochen Hartmann, Oded Netzer and Shunyuan Zhang

Generative AI’s recent advancements in creating content have offered vast potential to transform the advertising industry. This research investigates the impact of generative AI-enabled visual ad creation on real-world advertising effectiveness. For this purpose, we... View Details

Keywords: Digital Marketing; AI and Machine Learning; Advertising; Consumer Behavior; Advertising Industry

2025
Book

Negotiation: The Game Has Changed

By: Max Bazerman

The world has changed dramatically in just the past few years—and so has the game of negotiation. COVID-19, Zoom, political polarization, the online economy, increasing economic globalization, and greater workplace diversity—all have transformed the who, what, where,... View Details

Keywords: Negotiation; Change

2025
Article

Humor as a Window into Generative AI Bias

By: Roger Samure, Julian De Freitas and Stefano Puntoni

A preregistered audit of 600 images by generative AI across 150 different prompts explores the link between humor and discrimination in consumer-facing AI solutions. When ChatGPT updates images to make them “funnier”, the prevalence of stereotyped groups changes. While... View Details

Keywords: AI and Machine Learning; Demographics; Prejudice and Bias

2025
Working Paper

CEO-Firm Matches and Productivity in 42 Countries

By: Amanda Dahlstrand, Dávid László, Helena Schweiger, Oriana Bandiera, Andrea Prat and Raffaella Sadun

Firms are key to economic development, and CEOs are key to firm productivity. Are firms in countries at varying stages of development led by the right CEOs, and if not, why? We develop a parsimonious measure of CEO time use that allows us to differentiate CEOs into... View Details

Keywords: Training; Management Skills; Economic Growth; Leadership Development

2025
Article

Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments

By: Kosuke Imai and Michael Lingzhi Li

Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details

Keywords: AI and Machine Learning; Mathematical Methods; Analytics and Data Science

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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January–February 2025
Article

Why People Resist Embracing AI

By: Julian De Freitas

The success of AI depends not only on its capabilities, which are becoming more advanced each day, but on people’s willingness to harness them. Unfortunately, many people view AI negatively, fearing it will cause job losses, increase the likelihood that their personal... View Details

Keywords: AI and Machine Learning; Technology Adoption; Perception

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December 18, 2024
Article

Is AI the Right Tool to Solve That Problem?

By: Paolo Cervini, Chiara Farronato, Pushmeet Kohli and Marshall W Van Alstyne

While AI has the potential to solve major problems, organizations embarking on such journeys of often encounter obstacles. They include a dearth of high-quality data; too many possible solutions; the lack of a clear, measurable objective; and difficulty in identifying... View Details

Keywords: Artificial Intelligence; AI and Machine Learning; Problems and Challenges

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December 2024
Case

KLog.co – Charting the Course of its Future

By: Juan Alcacer, Jorge Tirado and Thomas Occhipinti

Keywords: Freighting; Logistics; Trade; Latin America; Chile

December 2024 (Revised December 2024)
Technical Note

A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)

By: Shane Greenstein, Nathaniel Lovin, Scott Wallsten, Kerry Herman and Susan Pinckney

A note on the vocabulary, evolution, and impact of AI. View Details

Keywords: Artificial Intelligence; Software; AI and Machine Learning; Technology Adoption; Technological Innovation; Technology Industry

December 2024
Case

Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey

By: Shikhar Ghosh

In early 2024, Bill Fandrich, Executive VP and CIO of Blue Cross Blue Shield of Michigan (BCBSM), faced a critical decision about AI adoption within the organization. Fandrich had championed AI implementation at BCBSM. After successfully developing three AI... View Details

December 2024
Article

Large Shocks Travel Fast

By: Alberto Cavallo, Francesco Lippi and Ken Miyahara

We document a sizeable increase in the frequency of price adjustments following the large energy shocks of 2022. We use a tractable New Keynesian model, calibrated to the pre-shock data, to interpret such a pattern. The calibration highlights the state-dependence of... View Details

Keywords: System Shocks; Price; Cost; Inflation and Deflation; Financial Institutions

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2024
Book

The Fading Light of Democratic Capitalism: How Pervasive Cronyism and Restricted Suffrage Are Destroying Democratic Capitalism as a National Ideal ... And What to Do About It

By: Malcolm S. Salter

What are we to do about declining public trust and confidence in democratic capitalism, which many citizens consider a cornerstone of our national ideology and identity? In this book, I address how we can rekindle the fading light of democratic capitalism as an... View Details

Keywords: Government and Politics; Power and Influence; Economic Systems; Culture

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2024
Working Paper

Why Most Resist AI Companions

By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni

Chatbots are now able to form emotional relationships with people and alleviate loneliness—a growing public health concern. Behavioral research provides little insight into whether everyday people are likely to use these applications and why. We address this question... View Details

Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions

2025
Contribution

Work

By: Nien-hê Hsieh and Julie L. Rose

This chapter has two aims. First, in light of the continued dominance of market capitalism, one aim of the chapter is to examine contemporary approaches to traditional concerns about the impact of market capitalism on the manner in which work is carried out. By the... View Details

Keywords: Organizational Design; Employees; Labor

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