The 2017 Workshop on North Carolina Manufacturing Data Science targets a critical gap in the emerging digital manufacturing ecosystem – achieving data-driven improvements in manufacturing processes to realize broader benefits across the factory and enterprise. It will bring together personnel from North Carolina industry, state government, University of North Carolina (UNC) General Administration, and UNC system universities to discuss current capabilities and future needs for widespread implementation.
Join us for an afternoon with Columbia University professor and Director of the Raj Center on Indian Economic Policies, Jagdish Bhagwati. Register
Join Black Communities Conference co-chairs Mark Little and Karla Slocum as they discuss the impact of COVID-19 on Historic Black Communities. This week explores issues at the intersection of COVID-19 and university engagement.
During the past 40 years, the income gap between top and bottom earners has expanded exponentially, with the top 1% controlling about 20% of national income and the bottom 50% holding less than 13%. In this Kenan Insight, we examine the role of two factors contributing to regional inequalities in the U.S and Europe: job automation and telecommuting.
This case study describes the entrepreneurial ecosystem in Durham, North Carolina – the people and organizations primarily located downtown who embrace this mission.
How will sweeping changes in primary care services and providers affect the primary care workforce? We examine this question as well as how well the increasing demand for these services can be met in the future.
The tools for crowdsourcing have been a research focus for quite some time. However, even today, crowdsourcing platforms have remained rather technologically rudimentary as simply idea dropboxes and discussion forums. Our research has indicated that technical modifications to current crowdsourcing platforms are needed for crowds to generate more novel and useful solutions.
Examining the strategy formation process is central to understanding why some firms in entrepreneurial settings create competitive advantage and succeed while others do not. While existing work shows the value of learning from experience or having a holistic understanding of how the pieces fit together, there is limited empirical research that fuses the two streams. We first review the extant literature on strategy formation in entrepreneurial settings by organizing around this fundamental tension between strategizing by “doing” versus “thinking.” We then describe recent work that blends the two and conclude with a future research agenda.
Determining how best to route work is a key element of service system design. Not surprisingly then, many analytical models have identified various optimal routing algorithms for service operations management. However, in many settings, humans make routing decisions dynamically, either because algorithms don't exist, decision support tools have not been implemented, or existing rules are not enforced.
Sixteen MBA students from UNC Kenan-Flagler Business School have been selected as members of the fourth class of MBA Kenan Scholars. The two-year program, sponsored by the Frank Hawkins Kenan Institute of Private Enterprise, is the premier research opportunity for UNC Kenan-Flagler MBA students.
Overview and Objectives The Global Commerce Core Initiative of the Kenan Institute of Private Enterprise is comprised of a portfolio of affiliated centers whose collective activities in research, consulting and...
In the institute’s May 2 briefing, Research Economist Sarah Dickerson reviewed another surprisingly solid employment report, weighing it with falling consumer confidence and a raft of other indicators both positive and negative in an effort to get clarity on the future of the economy.
Where can a UNC Kenan-Flagler MBA student supplement classroom training with hands-on leadership and a year-long research project on a critical, real-world business issue with the guidance of the school’s distinguished faculty? Whether the subject of study is infrastructure investing, nuclear energy generation, socioeconomic disparities or venture capital funding, the Kenan Scholars program is the best venue for such an experience.
We find analysts convey information about a firm’s earnings without fully revising their earnings forecast by increasing bundling intensity, which is the extent to which an analyst report that has an earnings forecast revision includes also price target and/or recommendation revisions with the same sign as the earnings forecast revision. We develop a firm-level measure of bundling intensity, BF_Score, and find it is an economically meaningful predictor of analyst-based earnings surprises.
Standard private labels (PLs) have been the topic of multiple prior reviews. Having been leapfrogged by business practice, the marketing literature has only recently witnessed a surge in interest in multi-tier PL offerings. These typically include a budget and/or premium tier in addition to the omnipresent standard PL tier. This study offers a systematic review of recent empirical findings on budget and premium PLs.
Brand and innovation management have become increasingly important priorities for firms over the last few decades. Firms rely on strong brands and product innovations to gain competitive advantage and fuel growth.
Based on earlier taxonomies of group composition models, aggregating data from individual-level responses to operationalize group-level constructs is a common aspect of management research.
Dr. Gerald Cohen brings nearly 30 years of high-profile private and public sector experience to the institute, where he is taking a leading role in forwarding Kenan Institute’s mission and translational research efforts.
Much of the recent empirical IO research has been conducted in the context of relatively mature, stable (often consumer packaged goods) markets. In these markets, consumer preferences and competitive interaction are often characterized by relatively stable patterns over time.
Partial least squares (PLS) path modeling is increasingly being promoted as a technique of choice for various analysis scenarios, despite the serious shortcomings of the method. The current lack of methodological justification for PLS prompted the editors of this journal to declare that research using this technique is likely to be deck-rejected (Guide and Ketokivi, 2015).