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).
DOCUMENT
The hard side in total quality management of measurement and data analysis can only be successful if it is replenished with the soft side, the people side. This conclusion has serious consequences for the education of professionals, especially managers. Managers should be trained in soft skills, trained in managing themselves and their relations with others. The recent research done by Meduprof-S focuses on the question which skills are needed and on the extent to which business schools quality standards consider soft skills to be important in the education of managers .
DOCUMENT
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.
MULTIFILE
Youth care is under increasing pressure, with rising demand, longer waiting lists, and growing staff shortages. In the Netherlands, one in seven children and adolescents is currently receiving youth care. At the same time, professionals face high workloads, burnout risks, and significant administrative burdens. This combination threatens both the accessibility and quality of care, leading to escalating problems for young people and families. Artificial intelligence (AI) offers promising opportunities to relieve these pressures by supporting professionals in their daily work. However, many AI initiatives in youth care fail to move beyond pilot stages, due to barriers such as lack of user acceptance, ethical concerns, limited professional ownership, and insufficient integration into daily practice. Empirical research on how AI can be responsibly and sustainably embedded in youth care is still scarce. This PD project aims to develop practice-based insights and strategies that strengthen the acceptance and long-term adoption of AI in youth care, in ways that support professional practice and contribute to appropriate care. The focus lies not on the technology itself, but on how professionals can work with AI within complex, high-pressure contexts. The research follows a cyclical, participatory approach, combining three complementary implementation frameworks: the Implementation Guide (Kaptein), the CFIR model (Damschroder), and the NASSS-CAT framework (Greenhalgh). Three case studies serve as core learning environments: (1) a speech-to-text AI tool to support clinical documentation, (2) Microsoft Copilot 365 for organization-wide adoption in support teams, and (3) an AI chatbot for parents in high-conflict divorces. Throughout the project, professionals, clients, ethical experts, and organizational stakeholders collaborate to explore the practical, ethical, and organizational conditions under which AI can responsibly strengthen youth care services.
Het opslaan van gevoelige bedrijfsgegevens op niet-goedgekeurde hardware, software en services, zoals Dropbox of Google Drive, gebeurt vaak, ondanks de veiligheidsrisico’s. Dit fenomeen heet Shadow IT. Shadow IT-gedrag brengt grote veiligheidsrisico’s met zich mee, doordat gevoelige gegevens opgeslagen wordt op onveilige locaties. Tegelijkertijd beschikken organisaties niet over methoden om deze risico’s adequaat te monitoren en beheersen.
Automated driving nowadays has become reality with the help of in-vehicle (ADAS) systems. More and more of such systems are being developed by OEMs and service providers. These (partly) automated systems are intended to enhance road and traffic safety (among other benefits) by addressing human limitations such as fatigue, low vigilance/distraction, reaction time, low behavioral adaptation, etc. In other words, (partly) automated driving should relieve the driver from his/her one or more preliminary driving tasks, making the ride enjoyable, safer and more relaxing. The present in-vehicle systems, on the contrary, requires continuous vigilance/alertness and behavioral adaptation from human drivers, and may also subject them to frequent in-and-out-of-the-loop situations and warnings. The tip of the iceberg is the robotic behavior of these in-vehicle systems, contrary to human driving behavior, viz. adaptive according to road, traffic, users, laws, weather, etc. Furthermore, no two human drivers are the same, and thus, do not possess the same driving styles and preferences. So how can one design of robotic behavior of an in-vehicle system be suitable for all human drivers? To emphasize the need for HUBRIS, this project proposes quantifying the behavioral difference between human driver and two in-vehicle systems through naturalistic driving in highway conditions, and subsequently, formulating preliminary design guidelines using the quantified behavioral difference matrix. Partners are V-tron, a service provider and potential developer of in-vehicle systems, Smits Opleidingen, a driving school keen on providing state-of-the-art education and training, Dutch Autonomous Mobility (DAM) B.V., a company active in operations, testing and assessment of self-driving vehicles in the Groningen province, Goudappel Coffeng, consultants in mobility and experts in traffic psychology, and Siemens Industry Software and Services B.V. (Siemens), developers of traffic simulation environments for testing in-vehicle systems.
