Despite decades of initiatives to address healthcare inequities in the U.S., disparities across race, gender, geography, and income remain stubbornly persistent.

Workplace stress, on the rise for decades, has been treated by many organizations as a personal issue instead of a business-critical risk that merits executive oversight.

We propose that AI-driven wellness apps powered by large language models can foster extreme emotional attachments and dependencies akin to human relationships—posing risks like ambiguous loss and dysfunctional dependence—that challenge current regulatory frameworks and necessitate safeguards and informed interventions within these platforms.

How companies market their AI systems affects the repercussions they face when their products fail. Marketers must promote their AI products with potential failure in mind.

We study how media firms can use LLMs to generate news content that aligns with multiple objectives—making content more engaging while maintaining a preferred level of polarization/slant consistent with the firm’s editorial policy.

The use of large language models (LLMs) in consumer research is rapidly evolving, with applications including synthetic data generation, data analysis, and more.

Based on a review of relevant literature, we propose that the proliferation of AI with human-like and social features presents an unprecedented opportunity to address the underlying cognitive and affective drivers of prejudice.

Chatbots are now able to engage in sophisticated conversations with consumers in the domain of relationships, providing a potential coping solution to widescale societal loneliness.

Social movement pressures can lead organizations to concede and improve social performance to avoid disruption costs, but we theorize that such responses evoke concession costs that prompt organizations to shift resources and attention from other social domains whose performance suffers.

This research studies business alliances that seek to address climate change, offering empirical evidence to address claims advanced by alliance supporters and critics.

We investigate whether banks' adoption of data-driven technologies influences competitive dynamics in local small business lending by diminishing the information advantages traditionally held by local banks.

Following the 2008 financial crisis, the Financial Crisis Inquiry Commission (FCIC) identified major shortcomings in bank board governance, contributing to systemic risk management failures.

Using Norwegian administrative data, we identify family equity investments in startups and examine their effects on investor returns and firm behavior.