Brands and branding are key to achieving competitive advantage in global markets. Yet, brands and their managers are facing new challenges and opportunities in light of numerous trends and disruptions that are changing the landscape of marketing in an international context. The climate crisis, a pandemic, and deglobalization winds—marked by China–West trade tensions, wars, and other trade-related disruptions, to name a few—are challenging branding around the world.
From April 23 through April 25, 2018, the Kenan Institute of Private Enterprise was proud to co-host the Black Communities Conference: A Conference for Collaboration at the Carolina Theatre of Durham, N.C. The event was put on by the institute’s affiliated center, NCGrowth, the Institute for African-American Research, the Southern Historical Collection and the Center for the Study of the American South.
Entrepreneurs are turning to crowdfunding as a way to finance their creative ideas. Crowdfunding involves relatively small contributions of many consumer-investors over a fixed time period (generally a few weeks). The purpose of this paper is to add to our empirical understanding of backer dynamics over the project funding cycle.
The spatial diffusion and adoption of rDNA methods, Regional Studies. The 1980 patent granted to Stanley Cohen and Herbert Boyer for their development of rDNA technology played a critical role in the establishment of the modern biotechnology industry. From the birth of this general-purpose technology in the San Francisco Bay area, rDNA-related knowledge diffused across sectors and regions of the US economy.
Performance measurement and event studies frequently assume a specific stochastic process for stock returns. The purpose of this paper is to validate the predictive accuracy of various stochastic processes on data different from those used in estimating the models. The main conclusion is that multi-factor models estimated with factor analytic techniques provide more accurate forecasts than the usual market model with either an equal- or value-weighted index, and Fama–French three-factor model.
Do firms learn from their failed innovation attempts? Answering this question is important because failure is an integral part of exploratory learning. In this study, we consider whether and under what circumstances firms learn from their small failures in experimentation. Building on organizational learning literature, we examine the conditions under which prior failures influence firms' R&D output, in terms of amount and quality. Our findings contribute to the organizational learning literature by providing a nuanced view of learning from failures in experimentation.
When an innovator sources for an innovative product from a supplier who is also a competitor in the end market, the potential innovation spillover may be a serious concern. Will an innovation ever source from a competitor-supplier in the presence of innovation spillover? In this paper we attempt to answer this question with an emphasis on the ex-ante uncertain values of innovations, and distinguish between technical innovations which can only spill over through sourcing and non-technical innovations which can spill over through sourcing as well as in the market.
With every passing generation, a family-run business faces the risk of losing steam due to improper handovers and inadequate talent and leadership development. How, then, can the senior-generation of leaders ensure that all the years of blood and sweat that went into building a business don't go to waste? The third and final installment of our family business series attempts to answer this question.
Google Scholar tells us that, over a quarter of a million studies examine the relationship between CEO compensation and firm performance. Aguinis et al. (2018) take much of that work to task. Observing that the distribution of CEO compensation is skewed, they question any work that assumes a normal distribution. Correcting the flaw, Aguinis et al. (2018) conduct their own investigation of this important relationship. Contrary to previous work, they find no consistent empirical relationship between pay and performance. The authors review and discuss their work with a clear eye on its implications for improving our understanding of these relationships.
The staffing of parallel servers in a queue has interested operations researchers for decades, resulting in countless mathematical models studying queuing behavior. But to achieve tractability, these models typically assume the service rate and productivity of individual servers is independent of other servers and the status of the system. We question this assumption and consider whether inter-server dependence impacts queue performance, specifically through server task selection.
What are the spillover effects when central financial institutions with dominant market shares simultaneously halt their liquidity creation and risk transformation roles? To shed light on this question, we build a novel, comprehensive dataset. Firms without a history of debt financing exhibit limited exposure to a systemic event. For firms that rely on external debt financing, their exposures are mainly driven by pre-existing connections to these central financial institutions.
Factor analysis is a widely used tool to summarize high dimensional panel data via a small dimensional set of latent factors. Applications, particularly in finance, are often focused on observable factors with an economic interpretation. The objective of this paper is to provide a formal test for the question whether the factor spaces of latent and observable (economic) factors are equal.
Companies face increasing pressure from different stakeholders to address various environmental, social and governance (ESG) issues. In their efforts to engage with these issues, they might pursue symbolic or substantive actions, either pre-emptively (proactive actions) or in response to specific targeted threats (reactive actions). Yet we know relatively little about how different stakeholders react to this repertoire of corporate actions and importantly, whether they are aligned in their reaction. We ask this question in the context of gender inequality, an issue that has become salient due to heightened societal attention thanks to the #MeToo movement.
In business markets, marketing and sales functions often conflict over customer acquisition. Marketers are seen to complain that sales representatives disregard the leads they generate, while sales representatives question the revenue potential of these leads. How should firms resolve such conflicts? We investigate these questions using relatively novel sequential principal-agent models with risk averse agents where asymmetry of information exists regarding leads’ revenue potentials.
Ride-hailing services are an essential mode of transportation for millions worldwide. The rapid growth of this service has raised concerns about its environmental impact. To address these concerns, ride-hailing companies are adding or introducing environmentally friendly vehicles (e.g., electric vehicles) to their platforms. However, it is not clear how adding such "green" vehicles will affect the environment and customers. To our knowledge, this paper is the first to analyze this question theoretically.
Even before the COVID-19 pandemic, finding affordable housing was a persistent problem in the U.S. In this Kenan Insight, we look at the factors driving the nationwide affordable housing crunch, particularly for those most affected by it — low income, single-parent families.
This paper presents the development, validation, and implementation of a data-driven optimization model designed to dynamically plan the assignment of anesthesiologists across multiple hospital locations within a large multi-specialty healthcare system. We formulate the problem as a multi-stage robust mixed-integer program incorporating on-call flexibility to address demand uncertainty. The optimized dynamic staffing plan has been successfully implemented in the University of Pittsburgh Medical Center healthcare system, leading to estimated annual cost savings of 12\% compared to current practice, or about \$800,000 annually.
On April 1-2, 2016, the Energy Center at the Kenan-Flagler Business School, University of North Carolina at Chapel Hill convened a conference on “Global Frac’ing, What has to Change for it to be a Game Changer?” It was an invitation only event with attendance limited to industry experts, leading consultants and responsible government officials. Attendees and speakers came from the U.S., UK, Poland, Mexico and Canada. This report summarizes the main points which emerged from the speaker presentations and subsequent discussion. It does not attempt to be a comprehensive treatment of Global Frac’ing. Rather, it raises four sets of questions and presents the conclusions which developed. The Executive Summary provides an overview of these conclusions. The appendices share details on two matters much discussed – what would be a model regulatory regime for unconventional development, and what would constitute a model fiscal regime?