IT organizations and CEO‟s are, and should be, concerned these days about the (lack of) data confidentiality and the usage of „shadow‟ IT systems by employees. Not only does the company risk monetary loss or public embarrassment, the senior management might also risk personal fines or even imprisonment. Several trends reinforce the attention for these subjects, including the fact that an increasing number of people perform parts of their work tasks from home (RSA, 2007) and the increasing bandwidth available to internet users which makes them rely on the Internet for satisfying their business and personal computing needs (Desisto et al. 2008). Employee compliance with the existing IT security policies is therefore essential. This paper presents a study on factors that influence non-compliance behavior of employees in organizations. The factors found in literature are tested in a survey study amongst employees of a big-four accountancy firm in the Netherlands and Belgium. The study concludes that stricter IT governance and cultural aspects are the most important factors influencing non-compliance behavior.
Health in All Policies (HiAP), a horizontal strategy connecting all relevant policy sectors, is internationally recognised as a core policy approach to improve the population’s health. For HiAP to be effective, it is recommended that both a Whole of Government and a Whole of Society approach is applied. In the Netherlands, HiAP has been in place since the late eighties of last century. Initially the focus has been on the Whole of Government approach; more recently this is amended by a national Whole of Society program.This thesis addresses the possible role of Citizen Science as a possible contribution to the knowledge base underpinning HiAP and a Whole of Society approach. Citizen Science, as the active contribution of citizens in research, links up with asset-based approachesand community participation that are key elements in modern health promotion.Key questions of the thesis were:“What are possible methods to engage citizens in developing the knowledge base for Health in All Policies (HiAP), and what are challenges and benefits of such engagement?”This thesis draws, firstly, on a theoretical exploration in which the application of Citizen Science in public health is explored. Secondly, two case studies on the application of Citizen Science in the Netherlands were performed. Thirdly, two scoping reviews wereperformed. Finally, one case study was carried out focusing on perceptions of health professionals in a Dutch city district.
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The high prevalence and burden of cardiovascular diseases (CVD) is largely attributable to unhealthy lifestyle factors such as smoking, alcohol consumption, physical inactivity and unhealthy food habits. Prevention of CVD, through the promotion of healthy lifestyles, appears to be a Sisyphean task for healthcare professionals, as the root causes of an unhealthy lifestyle lie largely outside their scope. Since most lifestyle choices are habitual and a response to environmental cues, rather than rational and deliberate choices, nationwide policies targeting the context in which lifestyle behaviours occur may be highly effective in the prevention of CVD. In this point-of-view article, we emphasise the need for government policies beyond those mentioned in the National Prevention Agreement in the Netherlands to effectively reduce the CVD risk, and we address the commonly raised concerns regarding ‘paternalism’.
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The primary objective of the project is to identify policies for the transformation of the Norwegian tourism sector to become resilient to climate change and carbon risks; to maintain and develop its economic benefits; and to significantly reduce its emissions-intensity per unit of economic output. Collaborative partnersStiftinga Vestlandforsking, Stiftelsen Handelshoyskolen, Stat Sentralbyra, Norges Handelshoyskole, Stiftelsen Nordlandsforskning, Fjord Norge, Hurtigruten, Neroyfjorden Verdsarvpark, Uni Waterloo, Uni Queensland, Desinasjon Voss, Stift Geirangerfjorden Verdsarv, Hogskulen Pa Vestlandet.
Developing a framework that integrates Advanced Language Models into the qualitative research process.Qualitative research, vital for understanding complex phenomena, is often limited by labour-intensive data collection, transcription, and analysis processes. This hinders scalability, accessibility, and efficiency in both academic and industry contexts. As a result, insights are often delayed or incomplete, impacting decision-making, policy development, and innovation. The lack of tools to enhance accuracy and reduce human error exacerbates these challenges, particularly for projects requiring large datasets or quick iterations. Addressing these inefficiencies through AI-driven solutions like AIDA can empower researchers, enhance outcomes, and make qualitative research more inclusive, impactful, and efficient.The AIDA project enhances qualitative research by integrating AI technologies to streamline transcription, coding, and analysis processes. This innovation enables researchers to analyse larger datasets with greater efficiency and accuracy, providing faster and more comprehensive insights. By reducing manual effort and human error, AIDA empowers organisations to make informed decisions and implement evidence-based policies more effectively. Its scalability supports diverse societal and industry applications, from healthcare to market research, fostering innovation and addressing complex challenges. Ultimately, AIDA contributes to improving research quality, accessibility, and societal relevance, driving advancements across multiple sectors.
National forestry Commission (SBB) and National Park De Biesbosch. Subcontractor through NRITNational parks with large flows of visitors have to manage these flows carefully. Methods of data collection and analysis can be of help to support decision making. The case of the Biesbosch National Park is used to find innovative ways to figure flows of yachts, being the most important component of water traffic, and to create a model that allows the estimation of changes in yachting patterns resulting from policy measures. Recent policies oriented at building additional waterways, nature development areas and recreational concentrations in the park to manage the demands of recreation and nature conservation offer a good opportunity to apply this model. With a geographical information system (GIS), data obtained from aerial photographs and satellite images can be analyzed. The method of space syntax is used to determine and visualize characteristics of the network of leisure routes in the park and to evaluate impacts resulting from expected changes in the network that accompany the restructuring of waterways.
