When people try to infer how well someone will do on a task, they often rely on group characteristics. For example, people who graduated from university may be perceived as more conscientious, leading employers to prefer those with degrees even for jobs that do not require specific knowledge related to the degree. In many cases, these inferences are likely ... Read More

One of the most striking trends in the aggregate economy over the past few decades is the persistent rise in industry concentration. Firms operating in concentrated industries engage in highly strategic price competition to capture market share and maximize profits. In this research agenda, we examine the implications of strategic competition among firms in ... Read More

This paper delves into the application of machine learning to forecast international stock returns based on firm characteristics. We reveal that market-specific training significantly enhances the performance of neural networks (NNs), as NNs trained on individual markets outperform those using a global model based on U.S. data. Our analysis shows that NNs ... Read More

Whistleblowers play a crucial role in maintaining trust in capital markets by exposing fraud. However, is it always true that more whistleblowing is better? The authors identify a nuanced finding: while whistleblowing can enhance audit quality by alerting enforcers to potential misstatements (positive direct effect), it may also reduce the enforcer's ... Read More

The Locker Alliance Network (LAN), a cutting-edge initiative under Singapore’s Smart Nation vision, aims to revolutionize parcel pickup processes. This government-led project seeks to enhance the last-mile delivery efficiency for Logistic Service Providers (LSPs), thereby reducing their operational footprint. However, it remains unclear how different locker ... Read More

For many online platforms, motivating a vast number of creators to produce a steady flow of high-quality content is crucial for success. Unlike traditional publishers that rely on professional editors to manage a limited pool of creators, online platforms often use incentive plans to drive productivity. While most platforms adopt a uniform commission (UC) ... Read More

In e-commerce supply chains, AI and information technologies enable a substantial flow of information from customers to manufacturers through product reviews, which provide insights into product quality. Conventional wisdom suggests that review-based social learning benefits both consumers and firms within the supply chain. However, our research reveals that ... Read More

In daily life, consumers often shop in busy malls, commute during rush hours, and dine in crowded restaurants. As a pervasive aspect of urban life, crowded environments influence consumer behaviors, including calorie intake, purchase intentions toward products displayed in more crowded spaces, and a preference for safety-related products. However, less ... Read More

Building trust is key to successful workplace relationships. However, in an age of great political divide, people are often hesitant to trust others with differing ideologies. This creates a problem for organizations whose employees need to collaborate to make decisions and complete tasks. Given this issue, researchers in this study (Hagmann et al., 2024) ... Read More

Over the past decade, artificial intelligence (AI) has been increasingly deployed in corporate operations. However, its impact on mitigating damages from natural disasters—a major source of uncertainty—has been largely overlooked in practice. We empirically investigate whether, and through what mechanisms, AI enables firms to enhance their resilience in the ... Read More