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While research on workplace safety spans across disciplines in medicine, public health, engineering, psychology, and business, research to date has not adopted a multilevel theoretical perspective that integrates theoretical issues and findings from various disciplines. In this chapter, we integrate research on workplace safety from a variety of disciplines and fields to develop a multilevel model of the processes that affect individual safety performance and safety and health outcomes. In doing so, we focus on cross-level linkages among national, organizational, and individual-level variables in relation to the exhibition of safe work behavior and occurrence of individual-level accidents, injuries, illnesses, and diseases. Our modeling of workplace safety is intended to fill a theoretical gap in our understanding of how the multitude of individual differences and situational factors interrelate across time to influence individual level safety behaviors and the consequences of these actions, and to encourage research to expand the limits of our knowledge.

M. Ronald Buckley holds the JC Penney Company Chair of Business Leadership and is a professor of management and a professor of psychology in the Michael F. Price College of Business at the University of Oklahoma. He earned his Ph.D. in industrial/organizational psychology from Auburn University. His research interests include, among others, work motivation, racial and gender issues in performance evaluation, business ethics, interview issues, and organizational socialization. His work has been published in journals such as the Academy of Management Review, Personnel Psychology, Journal of Applied Psychology, Organizational Behavior and Human Decision Processes, and the Journal of Management.

Although it is widely acknowledged that health care delivery systems are complex adaptive systems, there are gaps in understanding the application of systems engineering approaches to systems analysis and redesign in the health care domain. Commonly employed methods, such as statistical analysis of risk factors and outcomes, are simply not adequate to robustly characterize all system requirements and facilitate reliable design of complex care delivery systems. This is especially apparent in institutional-level systems, such as patient safety programs that must mitigate the risk of infections and other complications that can occur in virtually any setting providing direct and indirect patient care. The case example presented here illustrates the application of various system engineering methods to identify requirements and intervention candidates for a critical patient safety problem known as failure to rescue. Detailed descriptions of the analysis methods and their application are presented along with specific analysis artifacts related to the failure to rescue case study. Given the prevalence of complex systems in health care, this practical and effective approach provides an important example of how systems engineering methods can effectively address the shortcomings in current health care analysis and design, where complex systems are increasingly prevalent.

This paper uses data from the Cedefop European Skills and Jobs survey (ESJS) (Cedefop, 2014, ESJS microdata are Cedefop copyright and are reproduced with the permission of Cedefop. Further information is available at Cedefop, 2015), a new international dataset on skill mismatch of adult workers in 28 EU countries, to decompose the wage penalty of overeducated workers. The ESJ survey allows for integration of a rich set of variables in the estimation of the effect of overeducation on earnings, such as individuals’ job search motives and the skill needs of their jobs. Oaxaca decomposition techniques are employed to uncover the extent to which the earnings penalties of overeducated workers can be attributed to either (i) individual human capital attributes, (ii) job characteristics, (iii) information asymmetries, (iv) compensating job attributes, or (iv) assignment to jobs with different skill needs. Differences in human capital and job-skill requirements are important factors in explaining the wage premium. It is found that asymmetry of information accounts for a significant part of the overeducation wage penalty of tertiary education graduates, whereas job characteristics and the low skill content of their jobs can explain most of the wage gap for medium-qualified employees. Little evidence is found in favor of equilibrium theories of compensating wage differentials and career mobility. Accepting that much remains to be learned with regards to the drivers of overeducation, this paper provides evidence in support of the need for customized policy responses to tackle overeducation.

This paper investigates the prevalence and distribution of under-skilling across Europe. First, in order to understand why under-skilling occurs, three main theoretical approaches are discussed: (a) Inefficient signaling, (b) Skill shortages, and (c) On-the-job training substitution. Second, in order to measure the real dimension of the problem, we use the Cedefop European Skills and Jobs Survey (ESJS) ¹ to assess whether workers’ skills were lower than required at the point they started their job. Our results are rather mixed. First, we find under-skilling being related to some academic fields such as Health & Medicine, and Engineering. Second, we find that under-skilling is more prevalent among, not surprisingly, young workers but, rather unexpectedly, among permanent workers working in high-skilled occupations.