Transformation of the human capital reproduction in line with Industries 4.0 and 5.0

Technological changes that come with industrial revolution have largely affected businesses, as well as society. With the current technological shift and Fourth Industrial Revolution, many questions arise regarding the impacts and effects on current ways businesses operate. This study presents a retrospective analysis and overview of previous industrial revolutions. The aim of the retrospective analysis is to identify common characteristics that may lead to lessons learned for the forthcoming Fourth Industrial Revolution and thus complement the current debate on technological change. All previous industrial revolutions have led to change in business environments and new challenges for managers and owners. The findings show that all previous revolutions have led to increase in the number of service jobs created. The key approach of successful countries during the times of industrial revolution has included education as the source of new skills and knowledge necessary for adaption. Countries that were able to produce high skilled people could not only invent, but also adapt to new technologies sooner than others. Similarly, these approaches included introduction of new managerial practices in order to be able to utilize new technologies and new skilled workers effectively. The research article processes secondary data together with literature review on this topic.

There is a growing concern about the lack of skilled municipal employees who can deliver essential services to under-resourced local communities in South Africa. However, coaching and mentoring appear underutilized to train municipal employees to improve service delivery to local communities. The study aims to investigate whether coaching and mentoring could capacitate municipal employees whose performance appraisal reveals a lack of skills to provide essential services. A cross-sectional research design was adopted to conduct a survey. The target population comprised 265 municipal employees, and a stratified random sample of 115 employees completed a questionnaire. The employees held positions of general managers, general assistants, and administrators, with varied years of experience. Cronbach’s Alpha indicated an overall high 0.8 questionnaire reliability score.
Using a quantitative method, responses from municipal employees were collected to examine their perceptions of the influence of training and development on employee performance and service delivery. Hypotheses were tested using the bivariant inferential statistical tests of correlation (r) and Chi-square (χ2). The results indicated that training and development were more likely to improve employee performance. Furthermore, the results showed that trained employees were more likely to improve service delivery. In particular, coaching and mentoring could be used to improve performance. Therefore, the study found that the municipality was not providing employees with relevant training and development to enable them to address poor service delivery. Finally, the study recommends that the municipality invests in training and development to enrich employees with new skills and knowledge to improve the quality of service delivery.

The paper deals with the assessment of the socio-economic development of Ukrainian regions using Data Science methods and multidimensional analysis, including taxonomy, n-dimensional classification, and ensemble decision trees methods. The methodological bases of economic regions devel¬opment by the economic and mathematical modeling methods were investigated. The necessity of improving and further developing estimation models of the regional economic development using business analytics tools and multidimensional scaling methods was investigated.
The ensemble decision trees methods was applied for the classification model of economic development of the Ukrainian regions according to the conceptual base of the research on regional econom¬ic development. It will increase the quality level of administrative decisions making on regional de¬velopment asymmetry equalization. It is determined that in Ukraine, there is a significant imbalance of regions clusters with high and low economic level. Here was investigated the relationship between the two groups of economic development indicators – the indicators of the economic development regional performance and the group of economic potential. The results of the classification model allow identifying the set of indicators that have significant impact on the overall economic development. The developed ensemble model allows carrying out qualitative recognition and prediction of the state probability of economic development. It will improve the quality of decision making pro¬cesses on equalization of regional development asymmetry.
The further research gives the possibility to develop the system of levers directions of regional development imbalance equalization, to determine priority vectors of sustainable development of both the regions and the country.