Many of the most prosperous places in the U.S. are hotbeds of technology and also the home bases of companies which exercise monopoly power across much larger territories – nationally, or even globally. This paper makes four arguments about regional income disparities.
The essence of a brand is that it delivers on its promises. However, consumers’ trust in brands (CTB) has declined around the world in recent decades. As a result, CTB has become a major concern for managers. The authors examine whether CTB is influenced by marketing-mix activities (i.e., advertising, new product introduction, distribution, price, and price promotion) implemented by brands.
We investigate how auditor alignment, i.e. parent and subsidiary are audited by auditors from the same audit firm network, affects the quality of the internal information environment of groups and their subsidiaries decision making and performance management processes. We predict that auditor alignment improves internal information quality via better information coordination across the group, and via lower internal information asymmetry between parent and subsidiaries.
This monograph provides a structured overview of costing system research that can explain the variation in the characteristics and properties of costing systems found in practice based on firms’ source(s) of their demand for cost information. Costing systems are not developed in a vacuum but are designed to fulfill a purpose. In order to have a meaningful decision on the various demands for cost information, I start in Part 1 by exploring the different techniques firms can use to supply cost information to its managers and employees.
This study finds that greater asymmetric timeliness of earnings in reflecting good and bad news is associated with slower resolution of investor disagreement and uncertainty at earnings announcements. These findings indicate that a potential cost of asymmetric timeliness is added complexity from requiring investors to disaggregate earnings into good and bad news components to assess the implications of the earnings announcement for their investment decisions.
In the last few decades, many healthcare institutions converted their ownership type from nonprofit to for-profit, contributing to an increased presence of for-profit ownership in the U.S. healthcare sector. There have been opposing views on whether such ownership conversions benefit the public. Employing a large panel dataset of U.S. nursing homes from 2006 to 2015, we conduct a difference-in-differences analysis on converted facilities’ financial performance, operating policies, and quality of care. We observe that converted facilities significantly increased their post-conversion profit margins, compared to propensity-score-matched controls.
Customer care employees (CCEs) are an excellent source of ideas for new and enhanced services for customers. By serving many customers, CCEs have the ability to see patterns in unserved and underserved needs. By being inside rather than external to the firm, CCEs have the ability to offer suggestions that build on existing capabilities, which result in ideas that are more easily implementable. There is a long history of research and practice for soliciting suggestions from employees, but little of this work has described how CCEs can be organized into a temporary online crowd to cocreate innovative ideas.
Organizational, economic, and technology forces are encouraging organizations to experiment with new ways to develop their strategic priorities (Chesbrough & Appleyard, 2007). One such new approach is Open Strategy (OS), an approach that increasingly relies on the use of online digital platforms. OS refers to the process by which an organization’s strategy for the future is developed in a planned or inadvertent manner with more transparency for all stakeholders and/or inclusion of different stakeholders compared to conventional strategy-making processes (Hautz et al., 2017; Mack & Szulanski, 2017; Whittington et al., 2011).
The effectiveness of cancer screening and adherence to cancer screening guidelines can be inhibited by long wait times for screening appointments. We develop a queueing network model of screening for a disease within a population of patients with imperfect adherence to screening guidelines to characterize the relationship between the screening request frequency rate and the wait time for screens. We first use our model to derive the capacity needed by a given system or the population size a given system can serve to guarantee a certain service level.
Despite recognizing the importance of events, researchers have rarely explored the influence of broader societal events on employee experiences and behaviors at work. We integrate perspectives on events and social identities to develop a cross-level theoretical model of the spillover effects of mega-threats, which we define as negative, large-scale, diversity-related episodes that receive significant media attention.
Scholars have long been interested in new industry emergence, highlighting that it could often be impeded by uncertainty across four dimensions: technology, demand, ecosystem, and institutions. Building on the insight that uncertainty stems from partial knowledge, we develop a conceptual framework that utilizes a temporal and a process perspective for knowledge generation and aggregation.
This study examines the antecedents and consequences of knowledge sharing and monitoring based governance strategies on emissions reduction. We theorize, and empirically test, the impact of supply base diversity in industry and geographic locations on the governance strategy choices. We find that sector and regional diversity both have a significant impact on emissions reduction strategies, yet their direct and interactive impacts are different. Regarding consequences, we find that engaging suppliers is associated with GHG emissions reduction for both buyers and suppliers.
Time series regression analysis in econometrics typically involves a framework relying on a set of mixing conditions to establish consistency and asymptotic normality of parameter estimates and HAC-type estimators of the residual long-run variances to conduct proper inference. This article introduces structured machine learning regressions for high-dimensional time series data using the aforementioned commonly used setting.
This paper provides the first study of compensation and pay-for-performance for top executives at non-profit endowments. Using a detailed breakdown of compensation from IRS filings over the 2009-2017 period, we find that pay packages of Chief Investment Officers (CIOs) depend more heavily on bonuses than do those for other non-profit executives.
E-commerce platforms, such as Amazon, Alibaba and Flipkart, that match sellers and consumers at an unprecedented scale, operate their internal search engines to help buyers find relevant products from a large number of sellers, and also allow sellers to advertise to consumers for positions in the search listing. Determining an optimal ranking of products in response to a search query is a challenging problem for the platform because sellers have certain private information about their products that the platform does not have. Using a theoretical model, we show that sellers’ bids in ad auctions, through which sponsored slots are typically allocated, can reveal (some of) this private information to the platform (“information effect”), which it can optimally combine with information that it has about consumers to improve the placement of organic results, a practice we call “strategic listing”.
We study multi-period sales-force incentive contracting where salespeople can engage in effort gaming, a phenomenon that has extensive empirical support. Focusing on a repeated moral hazard scenario with two independent periods and a risk-neutral agent with limited liability, we conduct a theoretical investigation to understand which effort profiles the firm can expect under the optimal contract. We show that various effort profiles that may give the appearance of being sub-optimal, such as postponing effort exertion (“hockey stick”) and not exerting effort after a bad or a good initial demand outcome (“giving up” and “resting on laurels,” respectively) may indeed be induced optimally by the firm.
Much has been said (and rightly so) about the catastrophic effects of the COVID-19 pandemic. But there is another side to the crisis. It’s a story of hope, based on collaboration and innovation. As healthcare needs and economic hardships intensify, entrepreneurs around the globe are stepping up to create solutions that will not only address immediate needs, but also effect long-lasting change. A panel of Kenan Institute-convened experts discussed this surge of innovation in response to COVID-19 on April 7, 2020. The full recording of this press briefing–-along with a deeper-dive analysis on the drivers of innovation amid the crisis by UNC Kenan-Flagler Professors Mahka Moeen and Chris Bingham-–is available in this week’s Kenan Insight.
What makes an asset institutional-quality? This paper proposes that one reason is the existing concentration of delegated investors in a market through a liquidity channel.
Susan St. Ledger, the President of Worldwide Field Operations at Splunk Inc. joined the Kenan Institute for a Dean's Speaker Series talk at the Kenan Center on Tuesday, Jan. 15, 2019. Splunk Inc. is a multinational corporation based in San Francisco, California, that produces software for searching, monitoring and analyzing machine-generated big data, via a web-style interface. Prior to Splunk, Ms. St. Ledger held high-level positions with Salesforce and Sun Microsystems.
North Carolina’s Research Triangle is booming, driving strong job creation and population growth. Yet the region’s affordable housing stock is shrinking. In November 2019, the Leonard W. Wood Center for Real Estate Studies and our Kenan Scholars Program co-hosted "Investing in Affordable Housing Symposium: Private Market Solutions to the Triangle’s Affordable Housing Shortage." The symposium focused on the private market production and preservation of affordable housing to ensure workers can live and invest in the communities where they work. The event brought together the region’s top developers, financiers, government officials and nonprofit professionals to be part of the conversation on developing new and sustainable solutions to address the Triangle’s affordable housing shortage.