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Economists and sociologists have proposed arguments for why there can exist wage penalties for work involving helping and caring for others, penalties borne disproportionately by women. Evidence on wage penalties is neither abundant nor compelling. We examine wage differentials associated with caring jobs using multiple years of Current Population Survey (CPS) earnings files matched to O*NET job descriptors that provide continuous measures of “assisting & caring” and “concern” for others across all occupations. This approach differs from prior studies that assume occupations either do or do not require a high level of caring. Cross-section and longitudinal analyses are used to examine wage differences associated with the level of caring, conditioned on worker, location, and job attributes. Wage level estimates suggest substantive caring penalties, particularly among men. Longitudinal estimates based on wage changes among job switchers indicate smaller wage penalties, our preferred estimate being a 2% wage penalty resulting from a one standard deviation increase in our caring index. We find little difference in caring wage gaps across the earnings distribution. Measuring mean levels of caring across the U.S. labor market over nearly thirty years, we find a steady upward trend, but overall changes are small and there is no evidence of convergence between women and men.

This chapter combines quantitative studies of the connections between stressors and performance in accounting settings and identifies the mediators and moderators of stressors–performance relationships. Using meta-analyses and path analyses, this research compiles 72 studies to investigate the relationships of stressors with accountant and auditor performance. As hypothesized, bivariate meta-analyses results indicate that work-related stressors negatively affect performance, and burnout and stress are negatively related to performance, whereas motivation is positively related to performance. Moreover, a meta-analytical structural equation modeling indicates that role stressors have significant direct and indirect effects (through burnout and stress) on job performance. Accumulation of multiple samples through meta-analysis bolsters statistical power compared to single-sample studies and thus reveals the sign of residual direct effects of role stressors on job performance in accounting settings.

Generation A individuals with Asperger's (high-functioning autism) might increase their chance that their skills fit with job requirements (person-job fit) by considering various nonacademic and popular lists of Asperger's-friendly jobs. Asperger's “celebrity” and professor Temple Grandin's list of 51 jobs was investigated using Asperger's-related job characteristics from the US Department of Labor's O*NET job description database. Using a factor analysis resulting in six Asperger's-related job characteristics, social orientation was the only factor that significantly predicted Grandin's judgment of what is an Asperger's-related job based on a binomial logistic regression analysis. Another analysis using O*NET data showed a wide variety of jobs that were most and least associated with each of the six factors. Study limitations and future research follow the analyses.

Purpose – We show that, although most private employer establishments are small, much reported research (and subsequent suggestions for practice) in management comes from large firms. In turn, we wanted to explore if organizational knowledge gained from studying one or more large firms is necessarily applicable to numerous smaller firms.

Design/methodology/approach – We computed firm size in the United States using existing databases, and we then considered published literature in human resources and strategy to see if the large sample results logically applied to smaller firms.

Findings – At the job-analytic level, it is suggested that jobs might be defined differently and more broadly in smaller establishments than in large organizations. Also, the feasibility of best corporate strategies may be moderated by the size of the firm. In addition, we noted that the underlying model of selection utility in human resource management (HRM), and several factors in its numerical estimation, might need to be modified as a function of firm size.

Originality/value – We hope that this chapter inspires HRM and strategy researchers by helping to focus future evidence-based efforts, creating new initiatives, and providing results that are useful (or scalable) to the large number of small, private-sector U.S. firms.

The use of teams is ubiquitous in organizations, yet teams are not always effective. Much work has been conducted to understand those factors that facilitate effective team training. While much has been learned, there is no escaping the fact that team training is a complex, resource intensive endeavor. Recent advancements in the area of intelligent tutoring may provide a way forward as one method by which to reduce some of the ongoing resource requirements involved in team training. The current chapter relies on the science of team training to describe a tool, team task analysis, that should be considered in building ITSs that move beyond the training of individual tasks to those which are team-based. In that vein, an overview of team task analysis is provided, how it differs from individual task analysis, and what it may contribute to the design of ITS for teams. In doing so, we put forth five considerations that are somewhat unique as compared with traditional task analysis as well as some corresponding guidance from the literature in light of these considerations. It is our hope that this information will not only be useful to those building team-based ITSs, but spur future thought.

The impetus for this paper was the recognition, based on recent surveys and our own experiences, that organizations face special challenges when designing and validating selection procedures for information technology (IT) workers. The history of the IT industry, the nature of IT work, and characteristics of IT workers converge to make the selection of IT workers uniquely challenging. In this paper, we identify these challenges and suggest means of addressing them. We show the advantages offered by the modern view of validation that endorses a wide spectrum of probative information relevant to establishing the job relatedness and business necessity of IT selection procedures. Finally, we identify the implications of these issues for industrial/organizational psychologists, human resource managers, and managers of IT workers.

I use data from employers and longitudinal data from former/current recipients covering the period 1997 to early 2004 to analyze the relationship between job skills, job changes, and the evolution of wages. I analyze the effects of job skill requirements on starting wages, on-the-job training opportunities, wage growth prospects, and job turnover. The results show that jobs of different skill requirements differ in their prospects for earnings growth, independent of the workers who fill these jobs. Furthermore, these differences in wage growth opportunities across jobs are important determinants of workers’ quit propensities (explicitly controlling for unobserved worker heterogeneity). The determinants and consequences of job dynamics are investigated. The results using a multiplicity of methods, including the estimation of a multinomial endogenous switching model of wage growth, show that job changes, continuity of work involvement, and the use of cognitive skills are all critical components of the content of work experience that leads to upward mobility. The results underscore the sensitivity of recipients’ job transition patterns to changes in labor market demand conditions.