The new report from the Kenan Institute's American Growth Project takes a look under the hood at productivity - and which U.S. cities have been climbing up the productivity rankings.
A panel of industry and academic leaders discusses what ever-more-powerful generative artificial intelligence tools might be able to do.
Universal childcare reform implemented in Quebec, Canada, in the late 1990s boosted the careers and earnings of new mothers and produced positive outcomes for some companies as well.
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.
New Kenan Institute Research Economist Sarah Dickerson says that while her research and writing will help further the institute’s mission, "I also aim to expand the mission’s scope by reframing some of the fundamental questions being asked."
As the unexpected increasingly becomes part of the everyday, Kenan Institute Distinguished Fellow Kathleen M. Sutcliffe discusses the capabilities and processes that allow businesses to face their moments of truth with resilience.
While the literature highlights the benefits of internally redeploying resources, there is less empirical guidance on which resources are most likely to be redeployed. We examine the relationship between inventor characteristics and redeployment decisions, motivated by the tension between costs and benefits of keeping a resource at the source unit versus moving it to a new target unit.
In business-to-business markets, top marketing and sales executives (TMSEs) have considerable influence on their organizations’ customer strategies. When TMSEs switch firms, a pattern of informal organizational connections results; this pattern reflects the flow of information and knowledge among firms and creates managerial social capital in the process. To model this information flow, the current study considers information reach and richness, conceptualized according to the network position (i.e., centrality and brokerage) of the firm in the TMSE mobility network, which can be constructed by tracing executive movements through the work experience records of TMSEs in an industry.
We investigate the spatial dependence between commercial and residential mortgage defaults. A new class of observation-driven frailty factor models is introduced to do so. The idea of dynamic parameters embedded in the class of GAS models is utilized to estimate dynamic models of default risk with potentially multiple factors which are driven by stratified grouping of large panels of mortgage loan records. The score dynamics in the models is driven by so-called generalized residuals, and have therefore a fairly intuitive interpretation of ARMA-like dynamics. The proposed models are computationally easy to implement and therefore attractive in big data applications, something that gives them a considerable advantage in comparison to the typical latent factor frailty models proposed in the literature.
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.
How best to structure the work day is an important operational question for organizations. A key structural consideration is the effective use of breaks from work. Breaks serve the critical purpose of allowing employees to recharge, but in the short term, translate to a loss of time that usually leads to reduced productivity. We evaluate the effects of two types of breaks (expected versus unexpected), and two distinct forms of unexpected breaks, and find that unexpected breaks can, under certain conditions, yield immediate post-break performance increases.
To investigate when a firm’s reputation affects its exchange partners’ responses to adverse events, we distinguish between two types of reputation identified in prior work, capability reputation and character reputation, and present arguments for differences in their effects on exchange with potential and current exchange partners. Building on theory regarding uncertainty in exchange, we propose that potential exchange partners pay more attention to a firm's capability reputation than its character reputation in the wake of adverse events. Furthermore, we propose that the buffering effects of capability reputation and character reputation will be significantly reduced when the adverse events are caused by factors within the firm’s control. We find support for our arguments in an analysis of interstate gas transmission pipeline accidents in the United States from 2004 to 2013.
Ballooning levels of societal inequality have led to a resurgence of interest in the economic causes and consequences of wealth disparity. What has drawn less attention in the scientific literature is how different levels of resource inequality influence what types of individuals emerge as leaders. In the current paper we take a distal approach to understanding the psychological consequences of inequality and the associated implications for leadership.
Past research has shown that founders bring important capabilities and resources from their prior employment into their new firms and that these intergenerational transfers influence the performance of these ventures. However, we know little about whether organizational practices also transfer from parents to spawns, and if so, what types of practices are transferred? Using a combination of survey and registrar data and through a detailed identification strategy, we examine these two previously unaddressed questions.
In many service operations, customers have repeated interactions with service providers. This creates two important questions for service design. First, how important is it to maintain the continuity of service for individuals? Second, since maintaining continuity is costly and, at times, operationally impractical for both the organization (due to potentially lower utilization) and providers (due to high effort required), should certain customer types, such as those with complex needs, be prioritized for continuity?
CEO successions represent critical junctures for firms. Although extant research explores the performance consequences resulting from different succession types, what remains underexplored is what happens when the firm rehires a former CEO (e.g., a “boomerang CEO”).
We evaluate the effects of two types of breaks (expected versus unexpected), and two distinct forms of unexpected breaks, and find that unexpected breaks can, under certain conditions, yield immediate post-break performance increases.
We document what fraction of the housing stock in US cities is affordable to different family types. Rather than looking at what fraction of their income people actually pay in rent in each city, which reflects a mix of households’ ability to pay and supply conditions, we look at the extent to which the housing stock is affordable using discrete housing expenditure share cutoffs and the distribution of rents in the American Community Survey from each city.
We document what fraction of the housing stock in US cities is affordable to different family types. Rather than looking at what fraction of their income people actually pay in rent in each city, which reflects a mix of households’ ability to pay and supply conditions, we look at the extent to which the housing stock is affordable using discrete housing expenditure share cutoffs and the distribution of rents in the American Community Survey from each city.