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The polarisation of employment is a specific structural change in the labour market when the share of high and low-skilled workers increases and, simultaneously, the share of middle-skilled workers decreases. The chapter analyses the effect of polarisation in Czechia and other Central European countries and describes how employment has changed from the perspective of skills regarding gender. The analysis is based on observing the changes in the share of high, middle and low-skilled workers evaluated on the basis of occupational classification over time. Results imply (with a few exceptions) polarisation of employment across all countries during the period between 1998 and 2021, even if we consider the distinction between males and females. Results confirm that employment polarisation has also become a prevalent phenomenon in Central European countries during the last two decades. Finally, this chapter also summarises the economic motivation for studying polarisation phenomenon.

Disruptive technologies often disrupt the careers of middle-skilled workers. The purpose of this paper is to investigate career transition strategies of middle-skilled workers that partially continue or expand their careers under the condition of disruptive technologies.

This paper established a conceptual framework of career transition strategies for middle-skilled workers by integrating the existing studies of disruptive technologies, technological trajectory transition, boundaryless and protean careers, and careers as repositories of knowledge.

The authors proposed three types of career transition strategies to partially prolong middle-skilled workers’ careers, namely, industry-oriented transition strategy which refers to a transfer to other occupations in the original industry, technology-oriented transition strategy which refers to a transfer to occupations with original technical skills in other industries, and comprehensive transition strategy which refers to a transfer to other occupations in the related industries. Further, this paper discusses the external conditions and individual competencies for each career transition strategy, and timing for implementing a career transition strategy from the perspective of the technology life cycle.

This paper focused on sustainable careers of middle-skilled workers under the condition of disruptive technologies, which received very little attention from the current literature. The findings also suggested for middle-skilled workers to develop a sustainable or long-term career in the current era of many disruptive technologies. The findings may also imply on how firms and government should contribute to help workers on handling scenarios of technological disruption.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Middle-skilled workers are the ones most likely to suffer due to disruptive technologies. This briefing considers the impact of disruptive technology, and looks at possible strategies for helping those workers find new employment.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

A majority of human resource executives report that their inability to attract and retain middle-skills talent frequently affects their firm’s performance. Middle-skills jobs, those that require more than a high school diploma, less than a four-year college degree, and pay above the national living wage, account for nearly half of labor demanded in the United States. As technology transforms the workplace, digital skills are becoming increasingly important and in higher demand. In today’s dynamic workforce, managers are facing managing and developing interdisciplinary and multilevel teams while combating a technical skills divide (lack of qualified workers), making it difficult to recruit and retain a high-technology, middle-skill-level workforce. This chapter focuses on addressing unique challenges relevant to recruitment, upskilling, and management best practices as they relate to the integration of technology and middle-skill-level workers in a highly successful workplace.

There are many implications for middle-skill and low-skill workers as emerging technologies and trends continue to evolve related to using technology in the workplace. Managers and HRD professionals are tasked with ensuring that employees can meet organizational goals and objectives that are in sync with the emerging needs of a contemporary workforce. As the twenty-first century continues to evolve, managers and HRD professionals must remain current in strategies and practices that are effective in managing people. This chapter provides insight and suggestions to researchers on the current trends in the field that could benefit from further research.

This study aims to explore, in the context of Machinery and Equipment sector of Malaysia, the association between average wages and share of employment in automatable jobs, specifically whether the association between average wages and share of employment automatable jobs is asymmetric in nature.

The responses obtained from the structured interview of 265 firms are used to build up the empirical models (conditional mean regression and quantile regression).

The conditional mean regression findings show that employment levels in some low-waged, middle-skilled jobs are negatively associated with average wages. Furthermore, the quantile regression results add that firms that possess higher levels of share of employment in automation jobs are found to have a stronger association to average wages than those possessing a lower share of employment in automation jobs.

From the theoretical perspective, the findings of this study add to the body of knowledge of the theory of minimum wages and the concept of job polarization. From a policy perspective, the findings of this study can serve as a critical input to standard setters and regulators in devising industrial and as education policies.

Based on the assumption of a constant average policy effect on automatable jobs, conditional mean regression models have been commonly used in prior studies. This study makes the first attempt to employ the quantile regression method to provide a deeper understanding of the relationship between wages and employment in automatable jobs.

The introduction of rapidly changing technologies into the workplace has made it more important for organization leaders to understand how to manage technology, middle-skill, and low-skill employees in the workplace. The knowledge of employees within these levels in the workplace is the least known. There are varying levels of influence in workplaces, and the dynamic between people and technology has implications for human resource professionals throughout the world as they grapple with change from technological advancement and human improvement.

This study aims to empirically analyze the impact of technological innovation on the quantity and quality of employment in the hospitality industry.

Using the data of 30 provinces in China from 2010 to 2020, this paper makes an empirical analysis through the fixed effect model.

The results show that process innovation has a significant positive impact on employment quantity, while product innovation has a significant negative impact on employment quantity. The creative effect of process innovation and the substitution effect of product innovation offset each other, so in the long run, the impact of technological innovation on employment quantity is not significant. However, technological innovation has significantly improved the employment quality of the hospitality industry.

Because technological innovation has replaced part of the labor force, hospitality could guide the labor force in a positive direction. To promote innovation and retain talents, hotels should train employees’ digital thinking and attract high-skilled talents.

This research is unique in using process innovation and product innovation as the main measurement indicators of technological innovation, unlike previous studies that often relied on technological progress to conclude.

The study aims to study the effect of non-cognitive ability in human capital on the wages of rural migrant workers in China. The study also examines the mechanisms by which career choice, career development and social capital influence.

Based on the new human capital theory, this paper empirically investigates the effects and mechanisms of rural migrant workers' non-cognitive ability on wages using the 2018 China Family Panel Studies database and Stata 17.0 for construct validation and hypothesis testing.

The results showed that non-cognitive ability has a significant positive effect on rural migrant workers' wages. Subsequently, the mechanism of non-cognitive ability was examined. In further analysis, the study found that non-cognitive ability has a greater effect on the wages of vulnerable individuals (females, low and medium skills) among the rural migrant workers.

The originality of this study is to break through the existing research perspectives, overcome the limitations of scholars' existing research perspectives focusing on the employment and competitiveness of rural migrant workers in China and explore the factors affecting the rural migrant workers' wages from the perspective of non-cognitive ability as a new entry point by combining psychology. At the same time, the study design is more rigorous, avoiding the measurement error of variables.