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This paper aims to determine the influence of various enterprise characteristics on on-the-job training. The paper focuses mainly on identifying the influence of a firm’s innovative activity, technological capacity for manufacturing and product market competition on its likelihood of having a training program and on training intensity.

The authors administered a firm-level survey to a sample of 2,000 Russian enterprises. This survey includes questions about on-the-job training and key information about the companies’ activities. Probit and ordered probit estimates are used in the statistical analyses.

The results indicate that an enterprise’s provision of training is determined largely by firm-specific factors, such as its innovative activity, technical and technological state of manufacturing and product market competition. The authors adopt two widely used measures of training: incidence and intensity. Innovative activity and the technical and technological state of manufacturing are decisive factors in explaining a firm’s provision of training, as they have a strictly positive effect on both the incidence and the intensity of training. Product market competition has a positive effect on the incidence of training and a negative effect on the intensity of training.

This paper is original because it assumes that the process of deciding whether to implement a training program at an enterprise and the corresponding proportion of employees involved in training is built on the presupposition that the training intensity decision is made in two stages. This paper is the first to present estimates of on-the-job training intensity based on data from Russian enterprises.

The apprenticeship system is the most important source of formal post‐secondary training in Germany. Using German register data – the IAB Employment Sample – it is found that apprentices staying with their training firm after graduation have a longer first‐job durations but not higher wages than apprentices leaving the training firm. Retention rates, first job durations, and post‐apprenticeship wages are all increasing functions of training intensity. Some implications for the ongoing debate as to why firms are willing to invest in general training are discussed.

This paper sets out to examine the link between technological change and continuing training at a workplace level.

The paper hypothesises that workplaces subject to technological change have an increased demand for skills, which induces an increased provision of training. UK data from two waves (1998 and 2004) of the Workplace Employment Relations Survey (WERS) are used to investigate this hypothesis.

Workplaces undertaking technological change are more likely to train their workers and also to provide more days of training per worker. Team working is also associated with a greater number of days spent on training, as are the setting of training targets and the keeping of training records. Training intensity decreases with an increasing share of part‐time and manual employees. Conversely, where workplaces face difficulties in filling skilled vacancies, they provide more days of training.

The WERS training questions refer only to core experienced employees which, since this group may vary from one workplace to another, may not give a completely consistent measure of either absolute or relative training provision. Because the WERS panel (1998 and 2004) excludes both the dependent variable (training intensity) and the variable of interest (technical change), the analysis is restricted to cross‐section estimation. Causal implications of this analysis should be regarded as correspondingly tentative.

The findings suggest that one way to induce firms to provide more training is by enhanced incentives for firms to undertake more rapid technological change. In addition, if the current global economic downturn persists, evidence that operating in a declining market is associated with the provision of fewer training days may be of particular concern to training professionals and policy makers.

The paper provides empirical evidence concerning the interaction between technological change and training.

The present study connects the literature on sustainable HRM with that on employability to investigate the relationship between sustainability-oriented human resource actions and organizational outcomes. More specifically, this study explores how training for employability affects the employer–employee relationship and employee retention. Furthermore, this study considers competitive intensity as a potential moderator in these relationships.

The analyses draw on the fourth European Company Survey (ECS 2019) with a sample of 21?869 firms with more than ten employees. Two separate logistic regression models were used to test the hypothesis.

The results show that training for employability contributes to improving the employer–employee relationship and that competitive intensity positively shapes this relationship. Contextually, training for employability reduces the overall employee retention of the firm.

Although this study supports the potential win–win nature of employability support, especially for companies that operate in competitive markets and an uncertain environment, it also highlights the existence of paradoxical sustainability tensions that should be managed by employers.

The purpose of this paper is to investigate the effects of training activity on labor productivity in a panel of Italian firms.

The use of a large panel data of individual firms allows the author to properly account for the possible endogeneity of training activity and avoid aggregation biases typical in industry-level data.

The paper finds that training has a positive and significant impact on productivity. While unobserved heterogeneity leads to overestimate the impact of training, failing to account for the endogeneity of training leads to underestimate its effects on productivity. Within occupational groups, training has large and significant effects for blue-collar workers, while the effects for executives and clerks are relatively small. Finally, using a measure of effective training intensity the paper finds that failing to account for training duration may lead to underestimate the effect of training on productivity.

Our data set is unique in terms of size and coverage and overcomes several limitations of previous research using firm-level data. Moreover, besides estimating the overall effect of training on productivity, the paper allows to address some more specific questions. Does the effect of training depend on the type of worker being trained? What is the relevance of effective participation to training activity?

The purpose of this paper is to evaluate the physiotherapeutic benefits of bilateral symmetric training (BST) for stroke survivors affected by hemiparesis.

Other studies have investigated symmetric physiotherapy. A key difficulty in previous work is in maintaining mirror-imaged trajectories between the affected and less-affected limbs. This obstacle was overcome in this work by using a two-armed robotic exoskeleton to enforce symmetry. In total, 15 subjects, > 6 months post stroke were, randomly assigned to bilateral symmetric robotic training, unilateral robotic training, and standard physical therapy.

After 12 training sessions (90 minutes/session), the bilateral training group had the greatest intensity of movement training. They also had the greatest improvement in range of motion at the shoulder. The unilateral training group showed the greatest reduction in spasticity.

The rationale for symmetric physiotherapy is that it might promote connections from the undamaged brain hemisphere. The robot generated copious amounts of detailed kinematic data. Even though these data provided insights into the human to machine interface using different training modalities, it proved difficult to draw neurological conclusions. It is recommended that future research along these lines should include measures of neurophysiological change and/or changes in neurological activity.

This research suggests that the advantage of bilateral symmetric movement over other modalities is slight, and that robotic training has comparable results with standard care. If BST is used, care is potentially needed to avoid exacerbation of spasticity. Finally, this research includes a novel quantitative approach for evaluating robotic training.

This study is of value to therapeutic researchers interested in new physiotherapy techniques, roboticists interested in developing rehabilitation devices, or for rehabilitation game designers interested in using virtual reality.

We use household panel data to explore the wage returns associated with training incidence and intensity (duration) for British employees. We find these returns differ depending on the nature of the training, who funds the training, the skill levels of the recipient (white- or blue-collar), the age of the employee and if the training is with the current employer or not. Using decomposition analysis, training is found to be positively associated with wage dispersion: a virtuous circle of wage gains and training exists in Britain but only for white-collar employees.

This study sets out to examine management development activities within manufacturing SMEs, and their impact on performance. Unlike previous published studies that concentrate on formal training, this empirical analysis includes both formal and informal training. Performance is measured in terms of turnover, employee growth, and survival. It also includes consideration of the firm's context on both training approach and performance.

Survey responses from 198 manufacturing SMEs in the UK are analysed using descriptive statistics, multiple regression analysis, and ANOVA.

Findings indicate that formal training is likely to be a targeted activity that contributes more significantly to performance than informal training. Also, the approach and influence of training are dependent on contingent factors. A model is proposed for a further detailed study of these contingent factors using a multivariate statistical analysis.

For SME managers, while they may prefer informal training approaches, they would benefit from seeking a formal training intervention that directly addresses their specific needs. For business support policy, support options need to be flexible enough to provide idiosyncratic solutions. Generic training solutions are not welcomed by SMEs, and are unlikely to provide significant performance benefits. A greater understanding is required of the variety of contingent variables that moderates the relationship between choices of training approach, and between training and performance.

The purpose of this study is to use an international dataset to examine what determines employee training from an organisational perspective, and to what extent training investments enhance company performance.

Data from 5,824 private‐sector organisations are used to examine determinants of training and the connection between training and profitability. OLS regressions and Probit estimates are used in the statistical analyses.

The results indicate that the provision of company training is largely determined by firm‐specific factors, such as human resource management (HRM) practices. The results further show that two widely used measures of training – incidence and intensity – are largely determined by different factors. Staff turnover (mobility) does not appear to be a decisive factor in explaining the provision of training on a national or company level, although it is associated with lower profitability to some extent. However, the single most important factor associated with profitability is how much is invested in training (intensity), suggesting that the economic benefits of training outweigh the cost of staff turnover.

This study contributes to the existing training literature by offering extensive access to internal measures of training, profitability, HRM practices, workforce characteristics and staff turnover for companies in 26 countries worldwide.

We use new training data from the British Household Panel Survey to explore the degree to which the data are consistent with the predictions of human capital theory. According to the raw data, most work-related training is general and is paid for by employers. Our fixed effects estimates reveal that employer-financed training is associated with higher wages both in the current and future firms, with some evidence that the impact in future firms is larger. These results are consistent with human capital theory with credit constraints, and with the relatively recent literature on training in imperfectly competitive labour markets.