The workforce in the EU is ageing, and this requires investment in older workers so that the organisations in which they work remain competitive and viable. One such investment takes the form of organising and facilitating intergenerational learning: learning between and among generations that can lead to lifelong learning, innovation and organisational development. However, successfully implementing intergenerational learning is complex and depends on various factors at different levels within the organisation. This multidisciplinary literature review encompasses work from the fields of cognitive psychology, occupational health, educational science, human resource development and organisational science and results in a framework that organisations can use to understand how they can create the conditions needed to ensure that the potential of their ageing workforce is tapped effectively and efficiently. Although not a comprehensive review, this chapter serves as a basis for further empirical research and gives practitioners an insight into solving a growing problem.
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Introduction: Digital technologies , such as big AI and cloud computing are driving digital transformation (DT) in organizations. The World Economic Forum ( reports that over 75% of organizations plan to adopt these technologies within five years, leading to a skills disruption as employees lack the necessary skills for DT. HRM departments are responsible for preparing their workforce for DT through reand upskilling initiatives (Ivaldi et al., 2022; Vereycken et al., To adapt HRM’s strategic talent management for tailored re and upskilling, insight is needed in workforce DT skills mastery. The objective of this study is to develop a validated instrument for measuring workforce DT skills mastery, building upon the Digital Transformations Skills Framework ( (Bouwmans et al., 2022, 2024). The instrument is a self assessment tool, allowing individuals to evaluate their proficiency across various skill dimensions.
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High actual turnover rates in Dutch travel industry in combination with demographic changes in the workforce, may have consequences for economic sustainability for Dutch travel companies. A previous study has shown significant differences in the psychological contract of generations in the workplace in travel industry. This study was aimed at providing insights for creating generation-sensitive HR management. The research design included a qualitative in-depth study exploring meanings, beliefs and experiences of HR managers with three generations in the workplace. These HR managers experience differences in attitudes, values and expectations of generations and find the lower commitment and higher turnover intention of Generation Y especially problematic. Managing three generations essentially entails a differentiated style of management, taking into account generational differences.
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The central aim of this dissertation is to increase our understanding of changes in identifications and in the professional identity of employees, by investigating the prominent foci of identification, their mix in higher-order social identities and the personal and organisational factors (HRM and supervisory behaviour) that are involved in the change of these professional self definitions. Building upon the assumption that institutions for Higher Education and their workforce are being continually challenged to keep up and adapt to changing societal demands and that it is the quality and flexibility of the workforce which is the key factor to address this turmoil, this dissertation specifically focuses on the understanding of changes in teachers’ professional identity in higher vocational education. For this purpose four related empirical studies have been conducted. Together these studies illustrate the considerable professional diversity in the workforce and shed light on the relationships between foci of identification and professional identities, performance appraisal, leadership, career competencies, customization strategies, professional development and changes in teachers’ identifications over time.
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Our ageing population is the result of two demographic trends: decreasing fertility levels and higher life expectancy. As a corollary to these demographic trends, the working population is ageing and shrinking at the same time. This development will affect the performance of organizations in the next decades. As today‟s economy and the performance of organizations is mainly based on knowledge, the ageing workforce will mainly affect the organizations ability to be knowledge productive. As current knowledge management (KM) and intellectual capital (IC) literature hardly addresses the issue of ageing, the aim of this paper is to explore this topic in order to formulate an agenda for further KM/IC research. Combining the temporary consequences of ageing (brain drain and talent gap) and the false assumptions about the capabilities of older workers (older workers contribute negatively to a firm‟s performance), the current ageing of the working population reveals two main risks for organizations and management: underutilization of older employees, and loss of knowledge. Based on the exploration of these two risks in this paper, several issues are proposed for further research. These issues focus on the specific competences of the older knowledge worker, the implications for talent development programs, the benefits of inter-generational learning, and effectiveness of knowledge retention strategies. Today, the main fear is that large scale retirement will lead to a shortage of skills, talents, knowledge. Although acknowlegding the risks and threats of this brain drain, the current temporary ageing of our workforce might also contribute to a structural better valuation of the potential of the older knowledge worker and its specific contribution to the process of knowledge creation. In an ageing knowledge economy, increased understanding about the abilities and distinct qualities of older workers will provide opportunities for organizations to enhance knowledge productivity and thus gain competitiveness.
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This study provides a comprehensive analysis of the AI-related skills and roles needed to bridge the AI skills gap in Europe. Using a mixed-method research approach, this study investigated the most in-demand AI expertise areas and roles by surveying 409 organizations in Europe, analyzing 2,563 AI-related job advertisements, and conducting 24 focus group sessions with 145 industry and policy experts. The findings underscore the importance of both general technical skills in AI related to big data, machine learning and deep learning, cyber and data security, large language models as well as AI soft skills such as problemsolving and effective communication. This study sets the foundation for future research directions, emphasizing the importance of upskilling initiatives and the evolving nature of AI skills demand, contributing to an EU-wide strategy for future AI skills development.
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The PANTOUR Sectoral Skills Intelligence Monitor (SSIM) consists of a toolkit for collecting and analysing data to assess skills and address skills gaps on the level of the tourism and hospitality sector. The SSIM for the tourism sector is designed to identify current and future workforce skills in order to enable evidence-based decision-making around workforce strategies required to achieve sustained organisational performance and to build a capable workforce. Workforce skills, in the broadest sense, are the capabilities, competencies, qualities, talents, and knowledge that enable people to perform successfully in the labour market.
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Hoofdredactie: Mw. Dr. P.J. Biemans. Voorwoord en Inleiding van 'Jaarboek Personeelsmanagement'. Thema: Het managen van een heterogene workforce.
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