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This research provides accounting-ethics authors and administrators with a benchmark for accounting-ethics research. While Bernardi and Bean (2010) considered publications in business-ethics and accounting’s top-40 journals this study considers research in eight accounting-ethics and public-interest journals, as well as, 34 business-ethics journals. We analyzed the contents of our 42 journals for the 25-year period between 1991 through 2015. This research documents the continued growth (Bernardi & Bean, 2007) of accounting-ethics research in both accounting-ethics and business-ethics journals. We provide data on the top-10 ethics authors in each doctoral year group, the top-50 ethics authors over the most recent 10, 20, and 25 years, and a distribution among ethics scholars for these periods. For the 25-year timeframe, our data indicate that only 665 (274) of the 5,125 accounting PhDs/DBAs (13.0% and 5.4% respectively) in Canada and the United States had authored or co-authored one (more than one) ethics article.

High divorce rates have coincided with higher rates of remarriage. Although remarriages are more susceptible to dissolution than first-order marriages, less research has focused on factors that promote vulnerabilities among remarried couples. In the current study, the authors focused on whether predictors of divorce differ by the number of times someone has been married. The authors examined some of the most common reasons for divorce, as identified by parents who completed a state-mandated divorce education course (n = 8,364), while also controlling for participant sociodemographic characteristics. Participants going through their first divorce were more likely to identify growing apart and infidelity as reasons for seeking a divorce. Conversely, those going through a subsequent divorce were more likely to list problems with alcohol/drug abuse, childrearing differences, emotional/psychological/verbal mistreatment, money problems, physical violence, and arguing. Multivariate analyses indicated that sociodemographic factors were stronger predictors of divorce number than commonly listed reasons for divorce for both male and female participants. Implications for remarital and stepfamily stability and directions for future research are discussed.

Alternative education settings (AES; i.e., self-contained alternative schools, therapeutic day treatment and residential schools, and juvenile corrections schools) serve youth with complicated and often serious academic and behavioral needs. The use of evidence-based practices (EBPs) and practices with Best Available Evidence are necessary to increase the likelihood of long-term success for these youth. In this chapter, we define three primary categories of AES and review what we know about the characteristics of youth in these schools. Next, we discuss the current emphasis on identifying and implementing EBPs with regard to both academic interventions (i.e., reading and mathematics) and interventions addressing student behavior. In particular, we consider implementation in AES, where there are often high percentages of youth requiring special education services and who have a significant need for EBPs to succeed academically, behaviorally, and in their transition to adulthood. We focus our discussion on: (a) examining approaches to identifying EBPs; (b) providing a brief review of EBPs and Best Available Evidence in the areas of mathematics, reading, and interventions addressing student behavior for youth in AES; (c) delineating key implementation challenges in AES; and (d) providing recommendations for how to facilitate the use of EBPs in AES.

We propose that the ambiguity of discourse around a category – rather than being problematic – improves the longevity of that category. This is especially true in the creative industries. Using methods and theories drawn from sociology and art history, we tested this thesis using swing as a case study. Based on three years of archival research we found 70 co-existing definitions of swing and 89 different uses of the term. These multiple meanings enabled various understandings to come in and out of focus over time, contributing to swing’s longevity. Our findings extend to other categories within the creative industries.

Sleep apps installed on smartphones are increasingly being used to help people overcome sleep problems. The purpose of this chapter is to identify the discourses that underpin discursive constructions of the potential sleep app user in sleep app marketing communication. According to critical marketing theory, discursive constructions of the potential consumer in marketing communication promote the potential consumer’s identification and alignment, priming the potential consumer to consider positively the product being marketed. In that sense, marketing (of sleep apps, or indeed anything) is culturally significant, as it provides templates for forms of identity, and affects the meanings and objects that circulate within a culture.

A data set consisting of the promotional material that was used to market acclaimed sleep apps was analysed using Foucauldian discourse analysis (FDA). The following discourses were identified in the data: disempowerment, pathologisation, ignorance, behaviourism, responsibilisation, mindfulness, seduction, convenience or common sense, empowerment and individualisation. These discourses indicate how sleep apps are legitimised as technical appendages to be installed into people’s phones and integrated into their lives. They also underpin the discursive identities that summon potential consumers into alignment. This chapter contributes to our understandings of the discursive mechanisms that lie behind the growing uptake of sleep apps. It also demonstrates the value of combining discourse analysis with relevant critical theory to gain insights into the emerging phenomenon of app culture.

Risk preferences play a critical role in almost every facet of economic activity. Experimental economists have sought to infer the risk preferences of subjects from choice behavior over lotteries. To help mitigate the influence of observable, and unobservable, heterogeneity in their samples, risk preferences have been estimated at the level of the individual subject. Recent work has detailed the lack of statistical power in descriptively classifying individual subjects as conforming to Expected Utility Theory (EUT) or Rank Dependent Utility (RDU). I discuss the normative consequences of this lack of power and provide some suggestions to improve the accuracy of normative inferences about individual-level choice behavior.