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Data visualizations in some form or another have served as decision-support tools for many centuries. In conjunction with advancements in information technology, data visualizations have become more accessible and more efficient to generate. In fact, virtually all enterprise resource planning and human resource (HR) information system vendors offer off-the-shelf data visualizations as part of decision-support dashboards as well as stand-alone images and displays for reporting. Plus, advances in programing languages and software such as Tableau, Microsoft Power BI, R, and Python have expanded the possibilities of fully customized graphics. Despite the proliferation of data visualization, relatively little is known about how to design data visualizations for displaying different types of HR data to different user groups, for different purposes, and with the overarching goal of improving the ways in which users comprehend and interpret data visualizations for decision-making purposes. To understand the state of science and practice as they relate to HR data visualizations and data visualizations in general, we review the literature on data visualizations across disciplines and offer an organizing framework that emphasizes the roles data visualization characteristics (e.g., display type, features), user characteristics (e.g., experience, individual differences), tasks, and objectives (e.g., compare values) play in user comprehension, interpretation, and decision-making. Finally, we close by proposing future directions for science and practice.

Increasingly, U.S. firms voluntarily issue standalone corporate social responsibility (CSR) reports to demonstrate to society a commitment to social and environmental activities (Bebbington, Larrinaga, & Moneva, 2008; Erusalimsky, Gray, & Spence, 2006). To ascertain the effect of standalone CSR reports on investors, we compared the association between CSR performance scores and subsequent stock returns for firms that issue standalone CSR reports versus those that do not. Consistent with a signaling perspective (Akerlof, 1970), we found that firms that voluntarily issue standalone CSR reports have a stronger association between total CSR and CSR strengths and subsequent stock returns than firms that do not. Our findings indicated that investors are relying on standalone CSR reports because they reward CSR performance for firms that issue standalone CSR reports CSR performance for those that do not issue standalone CSR reports.

This paper analyzes the impact of economic downturns on the revenue and expense sides of city financing for the period 2003 to 2009 using a convenience sample of the audited end of year financial reports for thirty midsized US cities. The analysis focuses on whether and how quickly and how extensively revenue and spending directions from past years are altered by recessions. A seven year series of Comprehensive Annual Financial Report (CAFR) data serves to explore whether citiesʼ revenues and spending, especially the traditional property tax and core functions such as public safety and infrastructure withstood the brief 2001 and the persistent 2007 recessions? The findings point to consumption (spending) over stability (revenue minus expense) for the recession of 2007, particularly in 2008 and 2009.

This paper examines the use of signaling theory in the M&A context. We review some of the most important developments in applications and extensions of this theory to the realm of M&A, indicating how this theory has been used to explain many M&A decisions and outcomes and has offered fresh perspectives in the mature literature on acquisitions. For example, we show how signaling theory provides a new view of the determinants of acquisition premiums, and it can contribute to an improved understanding of firms’ search for acquisition opportunities as well as target selection. We also provide a critique of existing research to identify gaps in understanding on the roles played by signals. For instance, we discuss how signals can create contracting problems during M&A negotiations, how the value of signals might vary across deals, and how bidder heterogeneity and bidders’ own signals matter for certain transactions. Finally, in addition to taking stock of this stream of research, we identify some of the most important areas that deserve research attention. Signaling theory can contribute to an improved understanding of acquisition performance outcomes, and signals need to be investigated along with other solutions to enhance M&A deal making and execution. We identify new research methods that would help to advance signaling theory in the acquisitions literature.

This article examines the attitudes of chief executives across five service industries (transportation and travel; retail; financial services; communications and information; and professional services) to explore industry differences with regard to strategic challenges, as well as links between strategic challenges facing firms and specific sets of staffing policies.

In class action antitrust litigation, the standards for acceptable economic analysis at class certification have continued to evolve. The most recent event in this evolution is the United States Supreme Court’s decision in Comcast Corp. v. Behrend, 133 S. Ct. 1435 (2013). The evolution of pre-Comcast law on this topic is presented, the Comcast decision is thoroughly assessed, as are the standards for developing reliable economic analysis. This article explains how economic evidence of both antitrust liability and damages ought to be developed in light of the teachings of Comcast, and how liability evidence can be used by economists to support a finding of common impact for certification purposes. In addition, the article addresses how statistical techniques such as averaging, price-dispersion analysis, and multiple regressions have and should be employed to establish common proof of damages.

Attitudes and beliefs towards marriage and family held by Chinese and American college students were compared in this study. The primary dimensions included whether to marry, age to marry, number of desired children, age to have children, perceptions of divorce, willingness to cohabit, openness to blended marriages, and gender roles within marriage. If a global convergence of cultures is occurring, then similarities should be found throughout the views of all respondents towards the institution of marriage. Dissimilarities in views could be interpreted as evidence of the entrenchment and uniqueness of culture, an outcome advanced by those who question cultural homogenisation. Hundreds of college students in several large universities in China and one regional university in the United States were surveyed at convenience. The Chinese students were found to prefer marrying and to plan having children a year later in age compared to the Americans. They also desired having nearly one fewer total number of children on average compared to the Americans. Surprisingly, the Chinese were more agreeable with divorce. The Americans were more likely to support gender equality within marriage and to accept blended types of marriage. Both groups equally approved of the overall idea of couples cohabiting if they plan on marrying. However, the Americans were far more willing to say that they themselves would cohabit. Visions of the benefits of married life were similar across countries. Overall, far more significant differences were found than no differences. The results suggest that elements of marriage norms in the world’s largest economies are somewhat constrained by social forces in their ability to completely converge.

Communications regarding this column should be addressed to Mrs. Cheney, Peabody Library School, Nashville, Term. 37203. Mrs. Cheney does not sell the books listed here. They are available through normal trade sources. Mrs. Cheney, being a member of the editorial board of Pierian Press, will not review Pierian Press reference books in this column. Descriptions of Pierian Press reference books will be included elsewhere in this publication.

The purpose of this paper is to systematically investigate the fluid lag phenomena and its influence in the hydraulic fracturing process, including all stages of fluid-lag evolution, the transition between different stages and their coupling with dynamic fracture propagation under common conditions.

A plane 2D model is developed to simulate the complex evolution of fluid lag during the propagation of a hydraulic fracture driven by an impressible Newtonian fluid. Based on the finite element method, a fully implicit solution scheme is proposed to solve the strongly coupled rock deformation, fluid flow and fracture propagation. Using the proposed model, comprehensive parametric studies are performed to examine the evolution of fluid lag in various geological and operational conditions.

The numerical simulations predict that the lag ratio is around 5% or even lower at the beginning stage of hydraulic fracture under practical geological conditions. With the fracture propagation, the lag ratio keeps decreasing and can be ignored in the late stage of hydraulic fracturing for typical parameter combinations. On the numerical aspect, whether the fluid lag can be ignored depends not only on the lag ratio but also on the minimum mesh size used for fluid flow. In addition, an overall mixed-mode fracture propagation factor is proposed to describe the relationship between diverse parameters and fracture curvature.

In this study, relatively simple physical models such as linear elasticity for solid, Newtonian model for fluid and linear elasticity fracture mechanics for fracture are used. The current model does not account for such effects like leak off, poroelasticity and softening of rock formations, which may also visibly affect the fluid lag depending on specific reservoir conditions.

This study helps to understand the effect of fluid lag during hydraulic fracturing processes and provides numerical experience in dealing with the fluid lag with finite element simulation.