Het aantal banen neemt toe. Jaarlijks ontstaan er volgens CBS (2019) ongeveer 900 duizend vacatures. Deze keer is de verandering op de arbeidsmarkt niet het resultaat van één enkele factor, maar eerder een combinatie van vijf factoren: snelle technologische vooruitgang, diepgaande veranderingen in gezondheid en demografie, een groeiende economie, toenemende globalisering en belangrijke maatschappelijke veranderingen - die samen een groot deel van wat we als vanzelfsprekend beschouwen, fundamenteel transformeren (Gratton, 2011). Digitalisering en automatisering spelen een grote rol bij deze veranderingen. Er zijn optimistische voorspellingen dat nieuwe technologieën de arbeidsmarkt ten goede komen. Technologie verlaagt bijvoorbeeld de werkdruk. We zouden door technologie zelfs naar een kortere werkweek kunnen en nieuwe banen erbij krijgen, zodat niemand ongewild zonder werk komt te zitten (Ford, 2015; Giang, 2015; Mahdawi, 2017; MGI, 2017). Echter, de angst dat automatisering banen over gaat nemen en er een tekort aan werk gaat ontstaan, is ook een veelgehoorde zorg (Alexis, 2017; Ford, 2015; Giang, 2015; MGI, 2017; WRR. 2013).
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While many researchers have investigated soft skills for different roles related to business, engineering, healthcare and others, the soft skills needed by the chief information security officer (CISO) in a leadership position are not studied in-depth. This paper describes a first study aimed at filling this gap. In this multimethod research, both the business leaders perspective as well as an analysis of CISO job ads is studied. The methodology used to capture the business leaders perspective is via a Delphi study and the jobs adds are studied using a quantitative content analysis. With an increasing threat to information security for companies, the CISO role is moving from a technical role to an executive role. This executive function is responsible for information security across all layers of an organisation. To ensure compliance with the security policy among different groups within the company, such as employees, the board, and the IT department, the CISO must be able to adopt different postures. Soft skills are thus required to be able to assume this leadership role in the organisation. We found that when business leaders were asked about the most important soft skills the top three consisted out of 'communication', ‘leadership’ and 'interpersonal' skills while 'courtesy' was last on the list for a CISO leadership role.
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Times a changing. Mangement roles change. Quailty managers more an more are change managers and need soft skills to perform well.
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For IT services companies, delivering high quality IT services is of eminent importance. IT service quality drives customer satisfaction, which in its turn drives firm performance. It is this link that is addressed in this paper: How can the performance of customer service delivery teams be improved, when looked upon from the perspective of firm performance? Based on the literature on excellent performing organizations, we apply the concepts that, according to Collins (2001), drove the development of 'good' companies to 'great' companies to a case study of an under performing service delivery team that developed into an excellent performing service delivery team. The lessons from this study were that most of the drivers behind the performance improvement of this team were in fact 'soft' factors that concerned the human side of the team more than the organizational, procedural or structural measures.
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To examine the association of adolescents' snack and soft drink consumption with friendship group snack and soft drink consumption, availability of snacks and soft drinks at school, and personal characteristics, snack and soft drink consumption was assessed in 749 adolescents (398 girls, 351 boys, age 12.4 - 17.6 years), and their friends, and snack and soft drink availability at schools was measured. In regression analysis, consumption by friends, snack and soft drink availability within school, and personal characteristics (age, gender, education level, body mass index) were examined as determinants of snack and drink consumption. Snack and soft drink consumption was higher in boys, soft drink consumption was higher in lower educated adolescents, and snack consumption was higher in adolescents with a lower body weight. Peer group snack and soft drink consumption were associated with individual intake, particularly when availability in the canteen and vending machines was high. The association between individual and peer snack consumption was strong in boys, adolescents with a lower education level, and adolescents with lower body weights. Our study shows that individual snack and soft drink consumption is associated with specific combinations of consumption by peers, availability at school, and personal characteristics.
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The shortage for ICT personal in the EU is large and expected to increase. The aim of this research is to contribute to a better understanding of the roles and competences needed, so that education curricula can be better aligned to evolving market demand by answering the research question: Which competence gaps do we need to bridge in order to meet the future need for sufficiently qualified personnel in the EU Software sector? In this research, a mixed method approach was executed in twelve European countries, to map the current and future needs for competences in the EU. The analyses shows changes in demand regarding technical skills, e.g. low-code and a stronger focus on soft skills like communication and critical thinking. Besides this, the research showed educational institutes would do well to develop their curricula in a practical way by integration of real live cases and work together with organizations.
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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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Recently, the job market for Artificial Intelligence (AI) engineers has exploded. Since the role of AI engineer is relatively new, limited research has been done on the requirements as set by the industry. Moreover, the definition of an AI engineer is less established than for a data scientist or a software engineer. In this study we explore, based on job ads, the requirements from the job market for the position of AI engineer in The Netherlands. We retrieved job ad data between April 2018 and April 2021 from a large job ad database, Jobfeed from TextKernel. The job ads were selected with a process similar to the selection of primary studies in a literature review. We characterize the 367 resulting job ads based on meta-data such as publication date, industry/sector, educational background and job titles. To answer our research questions we have further coded 125 job ads manually. The job tasks of AI engineers are concentrated in five categories: business understanding, data engineering, modeling, software development and operations engineering. Companies ask for AI engineers with different profiles: 1) data science engineer with focus on modeling, 2) AI software engineer with focus on software development , 3) generalist AI engineer with focus on both models and software. Furthermore, we present the tools and technologies mentioned in the selected job ads, and the soft skills. Our research helps to understand the expectations companies have for professionals building AI-enabled systems. Understanding these expectations is crucial both for prospective AI engineers and educational institutions in charge of training those prospective engineers. Our research also helps to better define the profession of AI engineering. We do this by proposing an extended AI engineering life-cycle that includes a business understanding phase.
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In the midst of continuous health professions curriculum reforms, critical questions arise about the extent to which conceptual ideas are actually put into practice. Curricula are often not implemented as intended. An under-explored aspect that might play a role is governance. In light of major curriculum changes, we explored educators' perspectives of the role of governance in the process of translating curriculum goals and concepts into institutionalized curriculum change at micro-level (teacher-student). In three Dutch medical schools, 19 educators with a dual role (teacher and coordinator) were interviewed between March and May 2018, using the rich pictures method. We employed qualitative content analysis with inductive coding. Data collection occurred concurrently with data analysis. Different governance processes were mentioned, each with its own effects on the curriculum and organizational responses. In Institute 1, participants described an unclear governance structure, resulting in implementation chaos in which an abstract educational concept could not be fully realized. In Institute 2, participants described a top-down and strict governance structure contributing to relatively successful implementation of the educational concept. However it also led to demotivation of educators, who started rebelling to recover their perceived loss of freedom. In Institute 3, participants described a relatively fragmentized process granting a lot of freedom, which contributed to contentment and motivation but did not fully produce the intended changes. Our paper empirically illustrates the importance of governance in curriculum change. To advance curriculum change processes and improve their desired outcomes it seems important to define and explicate both hard and soft governance processes.
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The circular economy (CE) is heralded as reducing material use and emissions while providing more jobs and growth. We explored this narrative in a series of expert workshops, basing ourselves on theories, methods and findings from science fields such as global environmental input-output analysis, business modelling, industrial organisation, innovation sciences and transition studies. Our findings indicate that this dominant narrative suffers from at least three inconvenient truths. First, CE can lead to loss of GDP. Each doubling of product lifetimes will halve the related industrial production, while the required design changes may cost little. Second, the same mechanism can create losses of production jobs. This may not be compensated by extra maintenance, repair or refurbishing activities. Finally, ‘Product-as-a-Service’ business models supported by platform technologies are crucial for a CE transition. But by transforming consumers from owners to users, they lose independence and do not share in any value enhancement of assets (e.g., houses). As shown by Uber and AirBNB, platforms tend to concentrate power and value with providers, dramatically affecting the distribution of wealth. The real win-win potential of circularity is that the same societal welfare may be achieved with less production and fewer working hours, resulting in more leisure time. But it is perfectly possible that powerful platform providers capture most added value and channel that to their elite owners, at the expense of the purchasing power of ordinary people working fewer hours. Similar undesirable distributional effects may occur at the global scale: the service economies in the Global North may benefit from the additional repair and refurbishment activities, while economies in the Global South that are more oriented towards primary production will see these activities shrink. It is essential that CE research comes to grips with such effects. Furthermore, governance approaches mitigating unfair distribution of power and value are hence essential for a successful circularity transition.
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