Associate Professor and Sarah Graham Kenan Scholar, UNC Kenan-Flagler Business School
Professor of Marketing, Edward M O’Herron Scholar and Associate Dean of MBA@UNC
Distinguished Professor of Sociology and Training Director, Carolina Population Center, University of North Carolina at Chapel Hill
As the digital revolution rages on, every business leader must become technology literate. This guide provides executives with an introduction to the technologies that are transforming our world.
The autonomous car began as an opportunity that required breaking all kinds of limits: engineering, navigation, adjusting to traffic conditions, distinguishing objects, predicting what those objects might do, reacting in time, calculating quickly and juggling a vast number of ever-changing variables. The developers used more and more computer power to address these needs. But the initial bounding limit turned out to be very fundamental; rule-based computers don’t have pattern power.
We consider an online retailer facing heterogeneous customers with initially unknown product preferences. Customers are characterized by a diverse set of demographic and transactional attributes. The retailer can personalize the customers' assortment offerings based on available profile information to maximize cumulative revenue. To that end, the retailer must estimate customer preferences by observing transaction data.
No. In the presence of speculative opportunities, investors can learn about both asset fundamentals and the beliefs of other traders. We show that this learning exhibits complementarity: learning more along one dimension increases the value of learning about the other. As a result, regulatory changes may be counterproductive.
The COVID-19 pandemic has put 18 million jobs at small businesses in the U.S. at risk – which could as much as quadruple the nation’s total unemployment rate. The effects of both the coronavirus and recent government relief programs were explored by a panel of Kenan Institute-convened experts during a press briefing held yesterday. The full recording of this briefing—along with a deeper-dive analysis on the specific implications of the financial downturn on small business employment by Kenan Institute Research Director Professor Christian Lundblad and UNC Kenan-Flagler Business School Professor Paige Ouimet—is available in this week’s Kenan Insight.
Rapid advances in artificial intelligence (AI) and automation technologies have the potential to significantly disrupt labor markets. While AI and automation can augment the productivity of some workers, they can replace the work done by others and will likely transform almost all occupations at least to some degree. Rising automation is happening in a period of growing economic inequality, raising fears of mass technological unemployment and a renewed call for policy efforts to address the consequences of technological change. In this paper we discuss the barriers that inhibit scientists from measuring the effects of AI and automation on the future of work.
Join experts from Wells Fargo, First Citizens Bank, UNC Kenan-Flagler Business School and the Kenan Institute of Private Enterprise for a discussion on the North Carolina CEO Forum’s launch of a new framework to aggregate non-standard, real-time data to guide policy and business next steps. Join Tuesday, July 7, at 11 a.m. EDT.
Much is known about the importance of dynamic capabilities. Yet, surprisingly little is known about how multiple dynamic capabilities might be developed in parallel, since most existing work explores a particular dynamic capability in isolation. Using rich quantitative and qualitative data on Dow Chemical's acquisitions, joint ventures, and divestitures over the past 20 years, we seek to address this gap. Besides contributing by adding fresh insights about managing growth and the utility of distributed practice, and by shedding light on positive and negative experience transfer, our core contribution is an emergent theoretical framework that develops the concept of “concurrent learning.
Although store brands (SBs) are becoming increasingly important across the world, their success varies dramatically across consumer packaged goods categories and countries. The purpose of this paper is to provide insight into how such differences in SB success originate.
Researchers take a closer look at the impact of entrepreneurs, policymakers, scientists and others during the pre-commercial stage of industry formation
We empirically study the spatiotemporal location problem motivated by an online retailer that uses the Buy-Online-Pick-Up-In-Store fulfillment method. Customers pick up their orders from trucks parked at specific locations on specific days, and the retailer’s problem is to determine where and when these pickups occur. Customer demand is influenced by the convenience of pickup locations and days.