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This paper provides more insight into the assumption of human capital theory that the productivity of job-related training is driven by the improvement of workers’ skills. We analyze the extent to which training and informal learning on the job are related to employee skill development and consider the heterogeneity of this relationship with respect to workers’ skill mismatch at job entry. Using data from the 2014 European Skills and Jobs Survey, we find – as assumed by human capital theory – that employees who participated in training or informal learning show greater improvement of their skills than those who did not. The contribution of informal learning to employee skill development appears to be larger than that of training participation. Nevertheless, both forms of learning are shown to be complementary. This complementarity between training and informal learning is related to a significant additional improvement of workers’ skills. The skill development of workers who were initially underskilled for their job seems to benefit the most from both training and informal learning, whereas the skill development of those who were initially overskilled benefits the least. Work-related learning investments in the latter group seem to be more functional in offsetting skill depreciation than in fostering skill accumulation.

Utilizing the 1995 Adult Education Interview compiled by the National Center for Education Statistics, this study examined the determinants of training participation among adult female employees. Drawing on Sterns’s (1986) model of individual decision-making about training, we hypothesized that baby boomer cohorts of women would have higher rates of training participation than younger and older cohorts of women. This hypothesis was confirmed by results on age group variables. We also confirmed that both mandatory continuing education requirements and technological innovation in clerical occupations increased the likelihood of overall training participation among baby boomers, while only mandatory continuing education requirements significantly affected the overall training likelihoods of older and younger cohorts. Findings for disaggregated categories of training suggest that employer-support may be critical to female training participation, especially in lower wage occupations.

In the next decade, it is estimated that a large percentage of individuals with autism spectrum disorder (ASD) will become of working age. With this projection, there is an urgent need to expand employment opportunities and to find ways to support individuals with ASD on the job. However, very minimal research investigates organizational practices needed to integrate individuals with autism in the workplace successfully. Training is one company practice that can significantly impact the behavior and work outcomes of individuals with ASD. Despite the importance of training interventions, research focused on relevant training techniques for individuals with ASD is lacking and fragmented. This chapter summarizes the types of training that are appropriate and most often utilized to foster skill development and aid employment outcomes for Generation A.

We investigate the relationship between job complexity and skill development of adult workers in Europe using the Cedefop European Skills and Jobs Survey. ¹ The results suggest that challenging workplaces in which jobs are designed to include complex tasks that place high demands on workers’ skills also stimulate skill development. Increasing the degree of job complexity has positive and robust effects on the degree of skill development. Skill development is also positively linked to job tenure. The analysis stresses the importance of on-the-job learning and contextual workplace characteristics for adult workers’ skill development.

Much of the recent debate on the minimum wage has focused on its employment implications. The theory of human capital suggests that minimum wages should also have important adverse effects on human capital accumulation. In the standard human capital theory, as developed by Becker (1964), Ben-Porath (1967), and Mincer (1974), a large part of human capital is accumulated on the job, and workers often finance these investments through lower wages. A binding minimum wage will therefore reduce workplace training, as it prevents low wage workers from accepting the necessary wage cuts (Rosen, 1972). The early empirical literature has confirmed this prediction. The negative impact on human capital formation has been an important argument against minimum wages in the minds of many economists and policy-makers, and an important piece of evidence in support of the standard theory of human capital.

Health-care professionals undergo numerous training programs each year in order to fulfill licensure requirements and organizational obligations. However, evidence suggests that a substantial amount of what is taught during training is never learned or transferred back to routine work. A major contributor to this issue is low training motivation. Prior conceptual models on training transfer in the organizational sciences literature consider this deficit, yet do not account for the unique conditions of the hospital setting. This chapter seeks to close this gap by adapting conceptual models of training transfer to this setting that are grounded in organizational science. Based on theory and supplemented by semistructured key informant interviews (i.e., organizational leaders and program directors), we introduce an applied model of training motivation to facilitate training transfer in the hospital setting. In this model, training needs analysis is positioned as a key antecedent to ensure support for training, relevant content, and perceived utility of training. We posit that these factors, along with training design and logistics, enhance training motivation in hospital environments. Further, we suggest that training motivation subsequently impacts learning and transfer, with elements of the work environment also serving as moderators of the learning-transfer relationship. Factors such as external support for training content (e.g., from accrediting bodies) and allocation of time for training are emphasized as facilitators. The proposed model suggests there are factors unique to the hospital work setting that impact training motivation and transfer that should be considered when developing and implementing training initiatives in this setting.

Facing the aging workforce but older workers’ vulnerability in the labor market, this chapter empirically explores factors and policy implications to enhance older workers’ entered employment rates (EER) after exiting the national workforce program. After reviewing older workers’ attributes and the unique methods to train them, the chapter examines demographic, socioeconomic, and program attributions to older workers’ EER, controlling for cyclical changes in the labor market. The chapter relies on three sets of models including logistic regression, multi-level mixed-effect regression, and multilevel mixed effect logistic regression models, as well as longitudinal Workforce Investment Act Standardized Record Data and Bureau of Labor Statistics unemployment data. Older dislocated workers and older adults are examined separately. Some Workforce Innovation and Opportunity Act training and related service combinations are identified to contribute to older adults and older dislocated workers’ EER and to inform strategic decision-making about future allocations of funds and policy efforts to serve older workers.

This chapter discusses key training challenges that organizations need to confront with the objective of building a robust human resource management system. Given the dynamics of the current business environment, training and development has become an indispensable function in global organizations. Building an effective human capital that contributes to continual organizational growth has become the established norm to survive in a competitive business landscape. However, the training and development function is often rendered ineffective, on account of various bottlenecks existing in the organization. Addressing these bottlenecks is quintessential in ensuring the creation of a performance-driven human capital. The goal of this chapter is to draw attention to the training impediments that hinder organizational growth and to diagnose the underlying causes for the same. This chapter concludes with recommendations that organizational decision-makers can leverage in their quest to strengthen the human capital, by utilizing their training and development infrastructure optimally.

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.

Changes in the format of library materials, increased amounts of information, and the speed at which information is being produced have created an unrelenting need for training for library staff members. Additionally, library employees are retiring in greater numbers and their accompanying expertise is being lost. The purpose of this study was to document evaluation practices currently used in library training and continuing education programs for library employees, including metrics used in calculating return-on-investment (ROI). This research project asked 272 library training professionals to identify how they evaluate training, what kind of training evaluation practices are in place, how they select programs to evaluate for ROI, and what criteria are important in determining an effective method for calculating ROI.