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This paper examines the influence of stress arousal and burnout as mediators of the negative relations between role stressors and job outcomes (satisfaction, performance, and turnover intentions) among a sample of AICPA members working in public accounting. It extends prior research which examined these linkages (Chong & Monroe, 2015; Fogarty, Singh, Rhoads, & Moore, 2000; Smith, Davy, & Everly, 2007) by evaluating a model that simultaneously incorporates stress arousal and the three fundamental dimensions of burnout, i.e., emotional exhaustion, depersonalization, and reduced personal accomplishment. This paper also utilizes a recently validated stress arousal measure designed to capture the worry and rumination aspects of arousal posited to be responsible for a number of negative personal outcomes.

The results indicate that role stressors, mediated by stress arousal and the individual burnout dimensions, have a negative influence on job outcomes. In line with predictions regarding the temporal ordering of stress arousal and burnout in the model, each of the job stressors had a significant positive influence on accountants’ stress arousal, and the influence of the individual role stressors on each burnout dimension was either partially or fully mediated via their relations with stress arousal. In turn, the influence of stress arousal on each of the job outcomes was either partially or fully mediated through its relations with emotional exhaustion.

In contrast to recent forecasting developments, “Old School” forecasting techniques, such as exponential smoothing and the Box–Jenkins methodology, do not attempt to explicitly model or estimate breaks in a time series. Adherents of the “New School” methodology argue that once breaks are well estimated, it is possible to control for regime shifts when forecasting. We compare the forecasts of monthly unemployment rates in 10 OECD countries using various Old School and New School methods. Although each method seems to have drawbacks and no one method dominates the others, the Old School methods often outperform the New School methods for forecasting the unemployment rates.

This chapter analyzes the link between the digital divide, infrastructure regulation, and disaster planning and relief through a case study of the flood in San Jose, California triggered by the Anderson dam’s overtopping in February 2017 and an examination of communication failures during the 2018 wildfire in Paradise, California. This chapter theorizes that regulatory decisions construct social and disaster vulnerability. Rooted in the Whole Community approach to disaster planning and relief espoused by the United Nations and the Federal Emergency Management Agency, this chapter calls for leadership to end the digital divide. It highlights the imperative of understanding community information needs and argues for linking strategies to close the digital divide with infrastructure and emergency planning. As the Internet’s integration into society increases, the digital divide diminishes access to societal resources including disaster aid, and exacerbates wildfire, flood, pandemic, and other risks. To mitigate climate change, climate-induced disaster, protect access to social services and the economy, and safeguard democracy, it argues for digital inclusion strategies as a centerpiece of community-centered infrastructure regulation and disaster relief.

We address an interesting case – the predictability of excess US asset returns from macroeconomic factors within a flexible regime-switching VAR framework – in which the presence of regimes may lead to superior forecasting performance from forecast combinations. After documenting that forecast combinations provide gains in predictive accuracy and that these gains are statistically significant, we show that forecast combinations may substantially improve portfolio selection. We find that the best-performing forecast combinations are those that either avoid estimating the pooling weights or that minimize the need for estimation. In practice, we report that the best-performing combination schemes are based on the principle of relative past forecasting performance. The economic gains from combining forecasts in portfolio management applications appear to be large, stable over time, and robust to the introduction of realistic transaction costs.

Action in the 1980s to a large extent belonged to the hard, hyper-masculine physiques of Arnold Schwarzenegger and Sylvester Stallone, who seemed to embody the aggressive, go-getting, testosterone-fuelled spirit of the age. Except, as this chapter argues, it would be a mistake to take these representations of masculinity at face value.

Susan Jeffords has noted the evolution of Schwarzenegger's Terminator character from hard-bodied killer to nurturing father figure, linking this to the change in perceptions of masculinity between the Reagan and Bush eras. Indeed, as Schwarzenegger moved into the 90s his films increasingly played with notions of ‘the feminine’ – from the nurturing Schwarzenegger of Kindergarten Cop (1990) to the ‘maternal’ Schwarzenegger of Junior (1994).

This chapter focuses on Schwarzenegger's Commando (1985), the first film in which he plays a contemporary, ‘normal’ (though still unusually muscular) man: a widowed ex-special forces commando and now full-time father, named John Matrix. The act of naming this supposed he-man ‘Womb’ is only the beginning of the film's surprising and subversive disquisitions on gender. In between (and sometimes during) the expertly staged fist fights, gun battles and explosions, homoeroticism, the male gaze and gender stereotyping all bubble away under the surface. Schwarzenegger's body is presented for scrutiny in a way previously reserved for female Hollywood stars, and the film's antagonist, an embittered former colleague who is obsessed with Matrix in a way that verges on the erotic, transcends butch and enters the realms of macho camp. The film questions and subverts presumptions about the masculine and the feminine, while still delivering an ostensibly macho, quintessentially 1980s action film.

The purpose of this chapter is to develop a model of union reform that may help to revitalize the labor movement. Our model presents a path using democracy and militancy to overcome union oligarchy to build stronger unions and a stronger broader movement. We develop a new model of union revitalization by expanding the Voss and Sherman (2000) model from our own experiences and a review of past union revitalization efforts. Democratic and militant strategies are a key to successful reform efforts. Entrenched union leaders tend to oppose such efforts. Reformers must adequately overcome entrenched leader responses to succeed in reforming their unions. We have developed a new conceptual model of union revitalization. Our model should be tested further through in-depth case studies and analysis of reform efforts which have failed or succeeded. Our model presents strategies and tactics for labor activists to revitalize their unions and the labor movement. We present a new model of union revitalization that looks at both internal and external union revitalization. This chapter accumulates evidence across reform efforts throughout the modern history of unions. This comparative and contrasting analysis of the evidence from these efforts is a unique contribution to the field. Further, the resulting model from this review presents a unique focus on the strategies and tactics of reform efforts as well as the interaction between union reform efforts and entrenched leaders. This model provides a path for both future research and practical revitalization efforts.

This chapter examines the potential and barriers for evidence-based practices in Californian schools. In a large and complex school system, the state plays an important role in legitimating the use of certain types of evidence, but evidence-based practices are heavily determined by the resources, actors, and prevailing cultures in a local district environment. Until recently, high-stakes accountability policies mandated improvements in student test performance and intrusive interventions for failure. In recent years, the state has shifted to a different accountability approach that emphasizes local control and the use of multiple measures of school performance to pursue continuous improvement around locally developed goals and interventions. Amid this context, two stories arise about evidence-based practices in California. In one story, a set of major and highly touted districts have led the way in demonstrating evidence-informed continuous improvement district-wide. In these districts, the new state accountability approach, enabling leadership, long-term commitments to collective learning, networked opportunities to learn, and access to elite external expertise have contributed to fairly extensive practices of disciplined team problem-solving involving rich data. In a second story, schools and districts that face resource scarcity, high turnover, and conflict and in which past high-stakes accountability left a deep imprint on prevailing norms and routines, leaders and teachers have had difficulty establishing a conducive context for collective learning. However, given ingrained practices and limited absorptive capacity, it is not entirely clear how to enable productive evidence-based practices in such contexts.