There is a need for modernizing the Dutch collective management system of music copyright to match the rapidly changing digital music industry. Focusing on the often-neglected human values aspect, this study, part of a larger PhD research, examines the value preferences of music rights holders: creators and publishers. It aims to advise on technological redesign for music copyright management system and contribute to discussions on equitable collective management. Building upon prior research, which comprehensively analyzed the Dutch music copyright system and identified key stakeholders, this paper analyses 24 interviews with those key stakeholders to identify their values and potential value tensions. Initial findings establish a set of shared values, crucial for the next phases of the study –values operationalization. This research makes a academic contribution by integrating the Value Sensitive Design (VSD) approach with Distributive Justice Theory, enriching VSD's application and enhancing our understanding of the Economics of Collective Management (ECM).
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The digital era has brought about profound changes in how music is created, distributed, and consumed, posing a need for modernizing the Dutch collective management system of music copyright to match the rapidly changing digital music industry. This study aims to identify the key stakeholders and their perceptions of the Dutch system of collective management of music copyright. Utilizing qualitative document analysis, the study examines a range of public and non-public documents, including income statements, annual reports from Collective Management Organizations (CMOs), and contracts between publishers and creators. The research is further enriched by twenty-four semi-structured interviews with key stakeholders such as composers, lyricists, music publishers, copyright lawyers, and CMO executives. The findings of the study highlight several issues like the outdated IT systems and the lack of data standardization within the system. The research also notes a contrast in organizational effectiveness: major publishers are well-organized and unified in their negotiations with Digital Service Providers (DSPs) and CMOs, effectively advocating for their rights. However, music copyright holders, despite their legal homogeneity, are either unorganized or ineffectively aligned, displaying diverse interests and varying levels of access to information, as well as differences in norms and values prioritization. The study is grounded in the economics of collective management (ECM) and makes a significant academic contribution to this field by introducing new empirical findings to ECMs core constructs and integrating theoretical perspectives. The research offers valuable insights for policymakers, industry stakeholders, and researchers, aiming to foster a more equitable music copyright management system in the digital context.
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Expectations are high for digital technologies to address sustainability related challenges. While research into such applications and the twin transformation is growing rapidly, insights in the actual daily practices of digital sustainability within organizations is lacking. This is problematic as the contributions of digital tools to sustainability goals gain shape in organizational practices. To bridge this gap, we develop a theoretical perspective on digital sustainability practices based on practice theory, with an emphasis on the concept of sociomateriality. We argue that connecting meanings related to sustainability with digital technologies is essential to establish beneficial practices. Next, we contend that the meaning of sustainability is contextspecific, which calls for a local meaning making process. Based on our theoretical exploration we develop an empirical research agenda.
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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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Over the past forty years, the use of process models in practice has grown extensively. Until twenty years ago, remarkably little was known about the factors that contribute to the human understandability of process models in practice. Since then, research has, indeed, been conducted on this important topic, by e.g. creating guidelines. Unfortunately, the suggested modelling guidelines often fail to achieve the desired effects, because they are not tied to actual experimental findings. The need arises for knowledge on what kind of visualisation of process models is perceived as understandable, in order to improve the understanding of different stakeholders. Therefore the objective of this study is to answer the question: How can process models be visually enhanced so that they facilitate a common understanding by different stakeholders? Consequently, five subresearch questions (SRQ) will be discussed, covering three studies. By combining social psychology and process models we can work towards a more human-centred and empirical-based solution to enhance the understanding of process models by the different stakeholders with visualisation.
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Due to the changing technological possibilities of services, the demands that society places on the level of service provided by the Dutch Central Government (DCG) are changing rapidly. To accommodate this, the Dutch government is improving its processes in such a way that they become more agile and are continuously improved. However, the DCG struggles with the implementation of improvement tools that can support this. The research described in this paper aims to deliver key factors that influence the adoption of tools that improve the agile way of working and continuous improvement at the DCG. Therefore, a literature review has been conducted, from which 24 factors have been derived. Subsequently, 9 semi structured interviews have been conducted to emphasize the perspective of employees at the DCG. In total, 7 key factors have been derived from the interviews. The interviewees consisted of both employees from departments who already worked with tools to improve agile working and continuous improvement as well as employees from departments who haven’t used such tools yet. An important insight based on this research is that the aims, way of working and scope of the improvement tools must be clear for all the involved co-workers
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In this paper, we explore the design of web-based advice robots to enhance users' confidence in acting upon the provided advice. Drawing from research on algorithm acceptance and explainable AI, we hypothesise four design principles that may encourage interactivity and exploration, thus fostering users' confidence to act. Through a value-oriented prototype experiment and value-oriented semi-structured interviews, we tested these principles, confirming three of them and identifying an additional principle. The four resulting principles: (1) put context questions and resulting advice on one page and allow live, iterative exploration, (2) use action or change oriented questions to adjust the input parameters, (3) actively offer alternative scenarios based on counterfactuals, and (4) show all options instead of only the recommended one(s), appear to contribute to the values of agency and trust. Our study integrates the Design Science Research approach with a Value Sensitive Design approach.
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Onderwijsvernieuwingen zijn vaak weinig succesvol. De reden is vaak onduidelijk. “We weten weinig over waarom iets wel of niet werkt”, stelt dr. Kristin Vanlommel, lector Organiseren van Verandering in Onderwijs bij Hogeschool Utrecht. Ondersteuning, monitoring en professionalisering kunnen volgens haar leiden tot minder veranderen maar wel met meer succes.
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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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