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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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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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 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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Abstract Background: With the growing shortage of nurses, labor-saving technology has become more important. In health care practice, however, the fit with innovations is not easy. The aim of this study is to analyze the development of a mobile input device for electronic medical records (MEMR), a potentially labor-saving application supported by nurses, that failed to meet the needs of nurses after development. Method: In a case study, we used an axiomatic design framework as an evaluation tool to visualize the mismatches between customer needs and the design parameters of the MEMR, and trace these mismatches back to (preliminary) decisions in the development process. We applied a mixed-method research design that consisted of analyzing of 118 external and internal files and working documents, 29 interviews and shorter inquiries, a user test, and an observation of use. By factoring and grouping the findings, we analyzed the relevant categories of mismatches. Results: The involvement of nurses during the development was extensive, but not all feedback was, or could not be, used effectively to improve the MEMR. The mismatches with the most impact were found to be: (1) suboptimal supportive technology, (2) limited functionality of the app and input device, and (3) disruption of nurses’ workflow. Most mismatches were known by the IT department when the MEMR was offered to the units as a product. Development of the MEMR came to a halt because of limited use. Conclusion: Choices for design parameters, made during the development of labor-saving technology for nurses, may conflict with the customer needs of nurses. Even though the causes of mismatches were mentioned by the IT department, the nurse managers acquired the MEMR based on the idea behind the app. The effects of the chosen design parameters should not only be compared to the customer needs, but also be assessed with nurses and nurse managers for the expected effect on the workflow.
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There are changes in society and labour market demands made to TVET and in the TVET system itself. To deal with both types of challenges, the aim for TVET planning and development is to anticipate how employment will evolve and to determine how to give individuals a knowledge base that will enable them to adapt to the changing demands and benefit from the mobility. Major research areas connected to relevant problem areas in the TVET planning and development process can be constituted by analysis of labour market developments and changes in learning contents, new insights into the development of skills, competences and expertise, integration of learning places in school and workplace, professional development of VET teachers and trainers and VET and organisational development in organisations.
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Chronic diseases represent a significant burden for the society and health systems; addressing this burden is a key goal of the European Union policy. Health and other professionals are expected to deliver behaviour change support to persons with chronic disease. A skill gap in behaviour change support has been identified, and there is room for improvement. Train4Health is a strategic partnership involving seven European Institutions in five countries, which seeks to improve behaviour change support competencies for the self-management of chronic disease. The project envisages a continuum in behaviour change support education, in which an interprofessional competency framework, relevant for those currently practising, guides the development of a learning outcomes-based curriculum and an educational package for future professionals (today’s undergraduate students).
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The aim of this study was to develop a valid instrument to measure student nurses’ perceptions of community care (SCOPE). DeVellis’ staged model for instrument development and validation was used. Scale construction of SCOPE was based on existing literature. Evaluation of its psychometric properties included exploratory factor analysis and reliability analysis. After pilot-testing, 1062 bachelor nursing students from six institutions in the Netherlands (response rate 81%) took part in the study. SCOPE is a 35-item scale containing: background variables, 11 measuring the affective component, 5 measuring community care perception as a placement, 17 as a future profession, and 2 on the reasons underlying student preference. Principal axis factoring yielded two factors in the affective component scale reflecting ‘enjoyment’ and ‘utility’, two in the placement scale reflecting ‘learning possibilities’ and ‘personal satisfaction’, and four in the profession scale: ‘professional development’, ‘collaboration’, ‘caregiving’, and ‘complexity and workload’. Cronbach’s α of the complete scale was .892 and of the subscales .862, .696, and .810 respectively. SCOPE is a psychometrically sound instrument for measuring students’ perceptions of community care. By determining these perceptions, it becomes possible to positively influence them with targeted curriculum redesign, eventually contributing to decreasing the workforce shortage in community nursing.
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Environmental unsustainability is due to both structural features and historically specific characteristics of industrial capitalism resulting in specific patterns of production and consumption, as well as population growth. Sustainability literature criticises the established corporate and political power hegemonies, interested in maintaining economic growth, as well as inability or unwillingness of citizen-consumers to counteract these hegemonic tendencies. Yet, official policies are still targeted at social and economic ‘development’ as a panacea for unsustainability challenges. Instead, renewed accent on social and economic objectives are outlined by a set of sustainable development goals (SDG) that include objectives of fighting poverty, promoting better health, reducing mortality, and stimulating equitable economic growth. What is less commonly critiqued is the underlying morality of unsustainability and ethical questions concerned with the ‘victims of unsustainability’ outside of socioeconomic discourse. The achievement of SDG goals, as will be further elaborated on in this article, is unlikely to lead to greater social equality and economic prosperity, but to a greater spread of unsustainable production and consumption, continuous economic as well as population growth that has caused environmental problems in the first place and further objectification of environment and its elements. This article argues that an invocation of ethical duty toward environment and its elements is required in order to move beyond the current status quo. Such ethical approach to unsustainability can effectively address the shortcomings of the mainstream sustainability discourse that is mainly anthropocentric and therefore fails to identify the correct locus of unsustainability. This is an Accepted Manuscript of an article published by Taylor & Francis in International "Journal of Sustainable Development & World Ecology" on 2015 available online: http://www.tandfonline.com https://doi.org/10.1080/13504509.2015.1111269 https://www.linkedin.com/in/helenkopnina/
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