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The purpose of this research study is to use a large sample of the US companies and investigate the impact of cash-to-cash cycle’s (C2C) length on company profitability and liquidity in present and future periods and also examine whether such impact is dependent upon firm size or industry type. The authors investigate the association between C2C length and return on equity (ROE), as well as liquidity ratios for current and future years using linear regression models. The authors further examine such association for separate industries and explore the effect of size on the primary associations investigated. Consistent with prior literature, this study documents that C2C length is negatively (positively) associated with current profitability (liquidity). The authors also find that there is a significant negative association between C2C length and future profitability extending up to three years, but only for firms in the manufacturing industry. This research study shows that C2C length affects a firm’s current financial performance and managers should view C2C management as an important strategic tool. However, the authors caution that C2C management is not a “one size fits all” strategy and managers in smaller firms should pay close attention to their C2C cycle. The authors also show that firms in manufacturing industry will specifically benefit financially over long-term from C2C management. This article complements existing literature that examines the impact of working capital management on a firm’s financial performance and extends the literature by examining such relationship for different industries and firm sizes. Although the authors include various factors (e.g., firm size, leverage, growth, industry, year, and past performance) in regressions to control for observable differences among firms, there might be other unobservable differences that may have an effect on the results documented.

The estimation of queue length and delays in queues that are oversaturated for some part of a study period is of substantial importance in a range of traffic engineering applications. Whiting’s co-ordinate transformation has provided the basis for several approaches to this. We analyse this approach and present an explicit form for the derivative of queue length with respect to time, which we then use to establish various properties. We also report the results of numerical comparisons with exact formulae for certain special cases and show that these offer little or no advantage over the co-ordinate transformation approximations and can be computationally impractical in study periods of moderate duration.

This chapter presents four theories that hypothesize race/ethnicity disparities in sentence outcomes. Empirical studies assessing the relationship between defendant’s race/ethnicity and sentence severity are discussed.

I focus on federal sentencing in terms of support or non-support of the theoretical perspectives.

Sentence disparity linked to defendant’s race/ethnicity are observed as net main effects, as a component in joint-conditioning effects with other extralegal defendant characteristics, and as a variable that conditions the effect of process-related mechanism of discretion, and legally relevant case characteristics, and as indirect effects.

Theories share substantial conceptual overlap in specifying the relationship between defendant’s race/ethnicity and predictions of the effect of defendant’s race/ethnicity on sentence severity.

This chapter investigates productivity and cost patterns in the all-cargo US air transport sector. We empirically test the productivity growth influence of changes in unexplained technology, air operations movement characteristics, and factor input prices. Findings show productivity trends depicting negative growth for the 1993–2001 sample, then shifting measurably such that productivity trends depict positive growth for the 2002–2014 sample. The post 2001 growth was fueled by changes in unexplained technological advancements. We interpret this finding as an indication of the importance of technological innovation as a performance enhancer in this transport sector. Findings also reveal a lack of productivity change associated with changes in input prices and movement characteristics. We interpret input price findings as indicating increases in factor input prices such as wages and fuel prices are commensurate with enhanced labor and fuel productivity. The movement characteristic findings are attributable to a lack of sustained increases in load factors, stage length, network size and carrying more volume over the network (density).

Destinations have in the scholarly literature been labeled as communities of interdependent organizations that collectively coproduce a variety of products and services. The paradigm comes close to describing destinations as firms which are embedded in interfirm networks. Recent studies provide crucial insights into an understanding of destinations' orchestration and structuration as coproducing interfirm networks. However, systematic knowledge about how these systems evolve and develop is lacking. This chapter addresses this issue and elaborates how the concepts of scale-free and small-world networks together can explain the process of destination evolution. The discussion also suggests how such theorizing can spur avenues for future research.

Despite an increase in research that examines the media's selection of protest events for coverage, two areas of study have been left undeveloped. First, the type of protest examined is limited to common forms of the demonstration (march, vigil, rally). A second drawback of this literature is its focus on mass audience newspapers. The goal of the current study is to address these two issues by comparing coverage of a previously ignored form of protest, the strike, across two different media sources, the mass audience New York Times and the Daily Labor Report, a newspaper which targets industry and labor leaders and garners its revenue from subscriptions, not advertising. Due to specific differences between the two newspapers (primarily readership and revenue base), it is expected that certain strike characteristics (industry) will play a greater role in the New York Times’ selection of strikes than in the Daily Labor Report. Using government data to construct the population of events, I find that both newspapers select strikes in a manner that resembles coverage of other forms of protest. Important variables include size, length, and disruptiveness. The main difference between the two newspapers is the New York Time's attention to strikes in industries that affect the public and consumers and its strong regional bias. These findings indicate that not only do similar media selection processes work for both protest and strikes, but also that, despite some differences, media type did not affect selection greatly.

Using administrative, longitudinal data on felony arrests in Florida, we exploit the discontinuous increase in the punitiveness of criminal sanctions at 18 to estimate the deterrence effect of incarceration. Our analysis suggests a 2% decline in the log-odds of offending at 18, with standard errors ruling out declines of 11% or more. We interpret these magnitudes using a stochastic dynamic extension of Becker’s (1968) model of criminal behavior. Calibrating the model to match key empirical moments, we conclude that deterrence elasticities with respect to sentence lengths are no more negative than − 0 . 13 for young offenders.