Up Next

Market-Based Solutions to Vital Economic Issues


Kenan Institute 2023 Grand Challenge: Workforce Disrupted
Market-Based Solutions to Vital Economic Issues

Emerging Technologies


Generative AI such as ChatGPT holds the potential to alter many kinds of work, but analysis of a new report shows the occupations most likely to be affected are populated by more women than men.

Workforce Disrupted

ChatGPT and other generative AI programs can replicate much of the work performed across the knowledge worker class. This gives us a glimpse of what ever-more-powerful AI tools might be able to do, which is both exciting and, to say the least, unsettling.

Workforce Disrupted

A panel of industry and academic leaders discusses what ever-more-powerful generative artificial intelligence tools might be able to do.

Workforce Disrupted

As generative AI tools embed themselves into everyday society, all of us are trying to understand their short- and long-term impact on organizations. The Technology Applications and Implications Model can help.

Digital assets' highs and lows of 2022 served as a backdrop for a two-day event in Washington, D.C., hosted by UNC’s Rethinc. Labs, an initiative of the Kenan Institute of Private Enterprise, in partnership with the Milken Institute and Duke University’s Fuqua School of Business.

How do an organization's task requirements affect the ways in which it reacts to competitors’ strategic investments? This study uses a novel measure of task requirements (Case Mix Index), to test the competitive and spillover effects of prior adoption on a focal organization's timing of adoption, while accounting for the underlying demand-side drivers of adoption.

Thought leaders, policymakers, business leaders, experts, government officials, researchers, scholars and other key stakeholders convene for a two-day event focused on the latest issues impacting the fintech ecosystem.

Ignoring consideration sets in modeling customer purchase decisions may lead to biased estimation of customer preferences, yet consideration sets are difficult to infer in brick-and-mortar contexts. We show that the challenge of estimating consideration set models in brick-and-mortar contexts can partially be overcome with an emerging source of data: “heatmap data” collected using in-store sensors.

UNC Kenan-Flagler Business School Professor Mark McNeilly discusses how ChatGPT and other AI tools will change the workplace - as well as how workers can best prepare themselves for these changes.

In this paper, we develop new methods for analyzing high-dimensional tensor datasets. A tensor factor model describes a high-dimensional dataset as a sum of a low-rank component and an idiosyncratic noise, generalizing traditional factor models for panel data. We propose an estimation algorithm, called tensor principal component analysis (PCA), which generalizes the traditional PCA applicable to panel data.

Fueled by the widespread adoption of algorithms and artificial intelligence (AI), the use of chatbots has become increasingly popular in various business contexts. In this paper, we study how to effectively and appropriately use chatbots in logistics, particularly in dispatching freights automatically.

“Quantum is progressing faster than many people are anticipating,” UNC Kenan-Flagler Business School Professor Eric Ghysels told The News & Observer. “This thing is coming, and you better be prepared.”

Centers & Initiatives