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1 – 10 of 129The 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…
Abstract
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.
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Ravindra Ojha and Alpana Agarwal
The accelerating business transformation through Industry 4.0 (I4.0) is expected to create significant value in the manufacturing industry by delivering considerably high…
Abstract
Purpose
The accelerating business transformation through Industry 4.0 (I4.0) is expected to create significant value in the manufacturing industry by delivering considerably high productivity, superior quality, better efficiency and effectiveness. However, its evolutionary processes have far-reaching challenging for humanity. This has triggered a need to analyze the impact of I4.0 on various people-centric variables (PCVs).
Design/methodology/approach
This paper attempts to analyze the interrelationship dynamics between the PCVs in the current digital-industry ecosystem using a focus-group approach and causal loop diagrams. Application of the SWARA (stepwise weight assessment ratio analysis) methodology has provided its prioritized ranking in terms of importance.
Findings
The study has highlighted that I4.0 has a significant influence on five of the 13 PCVs – human quality of life, digital dexterity, high-skilled talent, low-skilled employment and creativity which contribute to 80% of the total impact.
Originality/value
The prioritized weights of the human factors from the SWARA approach have facilitated the assessment of the Human Resource Development Index (HRDI). The study is also contributing in enriching the literature on the human impact of the growing I4.0 and triggered the researchers to study further its adverse impact on critical human factors.
Key points
The paper pertains to debates on a very critical issue of impact of integration of the current intelligent digital technologies in manufacturing and services to transform businesses to be more flexible and agile.
This paper features I4.0 as a technology that allows integration of new products in the existing production lines, one-off manufacturing runs and high mix manufacturing.
The paper also highlights major adjustments in operational activities, processes, supply chain, and organizational redesign due to I4.0 adoption.
The current research study has significantly enriched the literature on the I4.0 impact on people-centric variables (PCVs) using the SWARA method. The use of the Causal Loop Diagram has very aptly brought out the type of causality (polarity) between the different PCVs in the growth of I4.0.
The paper pertains to debates on a very critical issue of impact of integration of the current intelligent digital technologies in manufacturing and services to transform businesses to be more flexible and agile.
This paper features I4.0 as a technology that allows integration of new products in the existing production lines, one-off manufacturing runs and high mix manufacturing.
The paper also highlights major adjustments in operational activities, processes, supply chain, and organizational redesign due to I4.0 adoption.
The current research study has significantly enriched the literature on the I4.0 impact on people-centric variables (PCVs) using the SWARA method. The use of the Causal Loop Diagram has very aptly brought out the type of causality (polarity) between the different PCVs in the growth of I4.0.
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The efficient functioning of the labour market is an important factor that affects long-term economic growth. The interaction of supply and demand on the labour market is…
Abstract
The efficient functioning of the labour market is an important factor that affects long-term economic growth. The interaction of supply and demand on the labour market is influenced by institutions which change the motivations and behaviour of economic actors and, ultimately, the flexibility of the labour market. There is no consensus in the literature on the effect these institutions have on labour market outcomes. This chapter focuses on a set of selective labour market institutions (employment protection legislation, minimum wages, unemployment benefits, labour taxation, trade unions and active labour market policies), compares their relevance to other European Union (EU) countries and through the lens of the Beveridge curve it tries to evaluate their impact on effectiveness of the Czech labour market. The international comparison shows that most of the considered institutions/regulations do not reach such importance (except employment protection legislation) and that they have a significant negative effect on labour market outcomes. Even the model of the Beveridge curve does not indicate that the Czech labour market is characterised by rigidities that would impair the effectiveness of a matching process at the aggregate level.
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Alina Botezat, Cristian Incaltarau, Sabina Ana Diac and Alexandra Claudia Grosu
This paper aims to extend the scope of previous studies on education-occupation mismatch to explicitly focus on the role high school track choices have on the risk of being…
Abstract
Purpose
This paper aims to extend the scope of previous studies on education-occupation mismatch to explicitly focus on the role high school track choices have on the risk of being mismatched in the labor market.
Design/methodology/approach
The paper uses the most exhaustive available database regarding the early-career paths of university graduates in Romania. Using a novel matching technique, entropy balancing (EB), our study relies on multinomial logit models and logit regressions to estimate the effect of the completed high school track on the likelihood of being mismatched in the labor market. The empirical analysis focuses on two types of education-occupation mismatches: horizontal and vertical mismatches.
Findings
We show that studying a different field in college compared to the completed high school track increases the risk of being skill mismatched in the first job after graduation. Five years after college graduation, the influence of the high school track fades, while being skill mismatched in the first employment plays a more important role. In contrast, we find no evidence that pursuing a college major unrelated to the completed high school track increases the probability of being overeducated. However, being overeducated in the first job increases the risk of being overeducated five years later.
Originality/value
The study brings new reliable evidence on the extent to which high school track choices may contribute to the risk of being mismatched in the labor market.
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Verena Stingl, Lasse Christiansen, Andreas Kornmaaler Hansen, Astrid Heidemann Lassen and Yang Cheng
The introduction of robots as value-adding “workers” on the shop floor triggers complex changes to manufacturing work. Such changes involve highly entangled relationships between…
Abstract
Purpose
The introduction of robots as value-adding “workers” on the shop floor triggers complex changes to manufacturing work. Such changes involve highly entangled relationships between technology, organisation and people. Understanding such entanglements requires a holistic assessment of contemporary robotised manufacturing work, to anticipate the dynamically emerging opportunities and risks of robotised work.
Design/methodology/approach
A systematic literature review of 87 papers was conducted to capture relevant themes of change in robotised manufacturing work. The literature was analysed using a thematic analysis approach, with Checkland’s soft systems thinking as an analytical framework.
Findings
Based on the literature analysis, the authors present a systemic conceptualisation of robotised manufacturing work. Specifically, the conceptualisation highlights four entangled themes of change: work, organisation of labour, workers’ (experiences) and the firm’s environment. Moreover, the authors discuss the complex patterns of interactions between these objects as relationships that defy straightforward cause–effect models.
Practical implications
The findings draw attention to complex interactions between robotisation and manufacturing work. It can, therefore, inform strategic decisions and support projects for robotisation from a holistic perspective.
Originality/value
The authors present a novel approach to studying and designing robotised manufacturing work as a conceptual system. In particular, the paper shifts the focus towards crucial properties of the system, which are subject to complex changes alongside the introduction of robot technology in manufacturing. Soft systems thinking enables new research avenues to explain complex phenomena at the intersection of robotisation and manufacturing work.
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Ahmed Al-Asfour and Yuening Zhao
The purpose of this study is to investigate manufacturing industry leaders’ perspectives on the prevailing skills gap in the current Illinois workforce. The insights gained hold…
Abstract
Purpose
The purpose of this study is to investigate manufacturing industry leaders’ perspectives on the prevailing skills gap in the current Illinois workforce. The insights gained hold significant importance for the emerging generation of workers, helping them discern the essential proficiencies and plan their educational and career paths in response.
Design/methodology/approach
Guided by Becker’s (1962) human capital theory (HCT) framework, a qualitative study was conducted to identify the skills gap and explore the perspectives of manufacturing industry leaders. Fourteen industry leaders participated in this study, representing various occupational industries.
Findings
The findings underscore the prominence of the skills gap as perceived by manufacturing industry leaders, with notable aspects including limited durable skills and difficulty transitioning from content-based knowledge to practical skills.
Originality/value
The findings of this study can offer insights to researchers, scholars and practitioners in the field of human resource development, as well as to leaders in the manufacturing industry who aim to address the skills gap. Furthermore, this research can inform policy decisions and assist higher education institutions in preparing students for careers in the industry.
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Haiyan Kong, Xinyu Jiang, Xiaoge Zhou, Tom Baum, Jinghan Li and Jinhan Yu
Artificial intelligence (AI) and big data analysis may further enhance the automated and smart features of tourism and hospitality services. However, it also poses new challenges…
Abstract
Purpose
Artificial intelligence (AI) and big data analysis may further enhance the automated and smart features of tourism and hospitality services. However, it also poses new challenges to human resource management. This study aims to explore the direct and indirect effects of employees’ AI perception on career resilience and informal learning as well as the mediating effect of career resilience.
Design/methodology/approach
This paper proposed a theoretical model of AI perception, career resilience and informal learning with perceived AI as the antecedent variable, career resilience as the mediate variable and informal learning as the endogenous variable. Targeting the employees working with AI, a total of 472 valid data were collected. Data were analyzed using structural equation modeling with AMOS software.
Findings
Findings indicated that employees’ perception of AI positively contributes to career resilience and informal learning. Apart from the direct effect on informal learning, career resilience also mediates the relationship between AI perception and informal learning.
Originality/value
Research findings provide both theoretical and practical implications by revealing the impact of AI perception on employees’ career development, leaning activities, explaining how AI transforms the nature of work and career development and shedding lights on human resource management in the tourism and hospitality field.
研究方法
本文提出了人工智能感知为前因变量、职业弹性为中介变量、非正式学习为内生变量的理论模型。以旅游业AI工作环境中的员工为研究对象, 本课题共收集了472份来自中国的有效数据, 并通过结构方程建模(SEM)来进行相关模型检验。
研究目的
人工智能和大数据分析可能会使旅游和酒店服务更加自动化和智能化, 但这也对人力资源管理提出了新的挑战。本研究旨在探讨员工对人工智能(AI)的感知对职业弹性和非正式学习的直接和间接影响, 以及职业弹性的中介作用。
研究发现
研究结果显示, 员工对人工智能的感知对职业弹性和非正式学习有积极影响。除了对非正式学习的直接影响外, 职业弹性在人工智能 (A I) 感知和非正式学习之间起中介作用。
研究创新/价值
本研究在以下几个方面具有重要的理论和实践意义:解释了人工智能感知对员工职业发展和学习行为的影响, 以及它是如何改变工作性质和员工职业发展的; 研究发现对旅游和酒店行业的人力资源管理具有实践指导意义。
Objetivo
La IA y el análisis de big data pueden potenciar aún más las características automatizadas e inteligentes de los servicios de turismo y hostelería. Sin embargo, también plantea nuevos retos a la gestión de los recursos humanos. Este estudio pretende explorar los efectos directos e indirectos de la percepción de la IA por parte de los empleados sobre la resiliencia profesional y el aprendizaje informal, así como el efecto mediador de la resiliencia profesional.
Diseño/metodología/enfoque
En este trabajo se propone un modelo teórico de percepción de la IA, resiliencia profesional y aprendizaje informal con la IA percibida como variable antecedente, la resiliencia profesional como variable mediadora y el aprendizaje informal como variable endógena. Dirigidos a los empleados que trabajan con IA, se recogieron un total de 472 datos válidos. Los datos se analizaron mediante un modelo de ecuaciones estructurales (SEM) con el software AMOS.
Resultados
Los Resultados indicaron que la percepción de la IA por parte de los empleados contribuye positivamente a la resiliencia profesional y al aprendizaje informal. Aparte del efecto directo sobre el aprendizaje informal, la resiliencia profesional también media en la relación entre la percepción de la IA y el aprendizaje informal.
Originalidad/valor
Los Resultados de la investigación proporcionan implicaciones tanto teóricas como prácticas al revelar el impacto de la percepción de la IA en el desarrollo profesional de los empleados, las actividades de aprendizaje, explicar cómo la IA transforma la naturaleza del trabajo y el desarrollo profesional, y arrojar luz sobre la gestión de los recursos humanos en el ámbito del turismo y la hostelería.
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This study explores the various obstacles that female instructors and students confront in tourism education.
Abstract
Purpose
This study explores the various obstacles that female instructors and students confront in tourism education.
Design/methodology/approach
Utilizing qualitative research approaches and a thorough literature assessment, this study investigates women’s complex challenges in the academic and educational domains. The study examines the particular difficulties faced by female professors, such as work-life balance concerns, gender bias and limited opportunities for career advancement. Furthermore, the study also analyses the challenges that female students confront, including the threat of stereotypes, sexual harassment during internships and restricted access to networking and mentorship possibilities.
Findings
Findings illustrate that both female tourism academics and students face gender discrimination in academia and in the sector.
Practical implications
The findings may contribute valuable insights for policymakers, educators and stakeholders, emphasizing the need for targeted interventions and inclusive policies to create supportive environments for female lecturers and students in these departments.
Originality/value
This is the first study done in North Cyprus, which specifically analyzes gender inequality in tourism education. It is valuable as it emphasizes the significance of advancing gender equality in tourism and hospitality education.
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Mahesh Subramony and Mark S. Rosenbaum
The purpose of this study is to address United Nations’ sustainable development goals (SDGs) 8 and 9 from a service perspective. SDG 8 is a call to improve the dignity of service…
Abstract
Purpose
The purpose of this study is to address United Nations’ sustainable development goals (SDGs) 8 and 9 from a service perspective. SDG 8 is a call to improve the dignity of service work by enhancing wages, working conditions and development opportunities while SDG 9 calls upon nations to construct resilient infrastructures, promote inclusivity and sustainability and foster innovation.
Design/methodology/approach
This study uses a bibliometric review to extract important themes from a variety of scholarly journals.
Findings
Researchers tend to investigate policy-level topics, such as national and international standards related to working conditions, while ignoring the experiences or well-being of workers occupying marginalized and low-opportunity roles in service organizations. Service researchers, educators and practitioners must collaborate to improve the state of service industries by conducting participatory action research, promoting grassroots organizing/advocacy, implementing digitized customer service and addressing workforce soft skills deficiencies.
Research limitations/implications
The authors consider how service work can be transformed into respectable employment and present four specific ways nations can enhance their service industries.
Practical implications
Economic planners can view SDGs 8 and 9 as a framework for understanding and promoting the well-being of service employees and accelerating the productivity and innovation levels of the service sector.
Originality/value
The United Nations’ SDGs are examined from a services perspective, which increases their significance in service-dominated economies.
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Samuel Arturo Mongrut, Vivian Cruz and Daniela Pacussich
The purpose of this paper is to determine the impact of private and public initiatives (financial literacy, entrepreneurship, remote work and government aid) on individual job…
Abstract
Purpose
The purpose of this paper is to determine the impact of private and public initiatives (financial literacy, entrepreneurship, remote work and government aid) on individual job loss and decrease in income during the COVID-19 pandemic in Peru.
Design/methodology/approach
The authors used an unbalanced panel data analysis with the National Household Survey for 2019–2020. The hypotheses are tested with a probit panel data model since the dependent variables are binary.
Findings
The study findings indicate that financial preparedness reduced the probability of having a decrease in income, but only to informal workers in metropolitan Lima. Furthermore, entrepreneurship helped mainly female informal workers to reduce their probability of becoming unemployed in metropolitan Lima. Besides, the implementation of remote work as a substitute of face-to-face work was not enough to avoid the decrease in income in the case of informal workers and it was only effective to avoid unemployment in the case of formal workers in metropolitan Lima. Finally, public aid proved to be instrumental in mitigating the decrease in income, but only to informal workers in Metropolitan Lima.
Research limitations/implications
The study results only apply for the first year of the pandemic.
Practical implications
Policymakers should focus on increasing the financial preparedness of informal workers, especially in provinces.
Social implications
Policymakers must expand unemployment benefits, and design public aid programs targeting informal workers in provinces.
Originality/value
This is the first study that analyses the impact of private and public initiatives on the decrease in income and unemployment situation of Peruvian individuals during the outbreak of the COVID-19 pandemic.
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