Longxiu Tian, UNC Kenan-Flagler assistant professor of marketing, shares his expertise in resilient business strategies and his perspective on firms' attempts to build trust and profitability with innovative consumer data management strategies.
With a growing emphasis on prioritizing user privacy and data protection, says UNC Kenan-Flagler’s Longxiu Tian, information collected directly from customers becomes the key to solving the puzzle of personalization and accurate targeting for marketers.
Corporate executives have begun to glimpse the strategic value of incorporating artificial intelligence as an “employee” within their organization. In this Kenan Insight, we explore a framework that outlines the critical elements for harnessing the potential of human-AI working relationships.
There is no doubt that the COVID-19 crisis has devastated the U.S. economy. But the particulars of this devastation are difficult to gauge, because unique aspects of the of the pandemic distort the data commonly used to assess such situations. In this Kenan Insight, we take a deep dive into the data to learn what it actually tells us about the economic impact of COVID-19, and suggest possibilities for a restart and recovery of the U.S. economy.
Research from UNC Kenan-Flagler Finance Professor Eric Ghysels attaches explicit costs to a model’s classification errors, in this case concerning pretrial detention decisions, avoiding the one-size-fits-all symmetrical cost function of traditional machine learning.
For small businesses, AI promises to handle financial and operational tasks, freeing up workers for other duties and creating new efficiencies. We offer seven focal points for small businesses planning for AI integration.
The Frank Hawkins Kenan Institute of Private Enterprise at the University of North Carolina at Chapel Hill’s Kenan-Flagler Business School, in partnership with Infinia ML, an advanced machine learning company that delivers transformative automation solutions and data science to enterprise businesses, will host a cross-sector symposium on Friday, Nov. 30 to advance the field of machine learning. Academic and business leaders will come together with students to connect the possibilities of cutting-edge ML research with the realities of practical implementation.
...empirical research by lowering the costs to researchers of data collection and aggregation. We also outline the data that we have currently available and demonstrate the value of a resource...
Emerging artificial intelligence (AI) capabilities are ushering in significant changes in how enterprises operate – and raising a host of questions for organizations. In this Kenan Insight, we explore how changing the organizational mindset to treat AI as an “employee” may pave the way to fully reaping the benefits of AI systems.
The Nov. 5 session gave attendees insights into recent developments in AI and machine learning from world-renowned leaders in the field.
Much is known about the importance of learning and some of the distinct learning processes that organizations use (e.g., trial-and-error learning, vicarious learning, experimental learning, and improvisational learning). Yet surprisingly little is known about whether these processes combine over time in ordered ways, because most research on learning explores one particular process. Using theory elaboration and theory-building methods and data on the accumulated country entries of entrepreneurial firms, we address this gap. Our core contribution is an emergent theoretical framework that develops the concept of learning sequences. We find that learning sequences exist and are influenced by initial conditions.
From healthcare to manufacturing to consumer goods, the adoption of artificial intelligence and machine learning is quickly becoming indispensable to how we live our lives. Both were the focus of the Rethinc. Machine Learning Symposium on Friday, Nov. 29, at the Kenan Center in Chapel Hill.
This paper examines private equity (both buyout and venture funds) performance around the globe using four data sets from leading commercial sources. For North American funds, our results echo recent research findings: buyout funds have outperformed public equities over long periods of time; in contrast, venture funds saw performance fall after spectacular results for vintages in the 1990s. For funds outside North America, buyout funds show performance similar to those in North America while venture fund performance is weaker than in North America. Venture samples outside North America are, however, relatively small and strong conclusions await further research. The similarity of performance estimates across the data sets strengthens confidence in conclusions about the results of private equity investing.
The Kenan Scholars research workshop series continued on Friday, Feb. 28, with a discussion on data literacy led by Nancy Lovas, Entrepreneurship & Business Librarian at UNC-Chapel Hill’s Davis Library.
In our previous Kenan Insight, we outlined the major findings in our recent report, Seven Forces Reshaping the Economy. This week, we explore how the COVID-19 pandemic has upended education and childcare, ushering in changes to both that will last far beyond the current crisis.
Plants become more efficient, decision-making is centralized, but access to real-time data may “Uberize” workforce according to new research from UNC Tax Center Research Scholar Eva Labro and her colleagues.
Artificial intelligence enhancements are increasingly shaping our financial decision-making. But with what result?
Each of the Kenan Institute's 2023 Distinguished Fellows has written a paper as part of their work to support our exploration of workforce disruption. Learn more about our fellows and read their papers, along with key takeaways from each.
UNC Professor Mohammad Jarrahi and IBM’s Phaedra Boinodiris address concerns about organizational adoption of artificial intelligence and how to include employees in important discussions, such as ethical considerations and potential job-related changes.