There is a lack of interest and empirical analysis in the existing literature on composers’ relations with their publishers and the role of Collective Management Organizations (CMOs) within the system of music copyright. The purpose of this paper is to explore and understand the influence of digitization within the music industry on the copyright enforcement in the Netherlands and on rights holders and the CMOs. Also to explore and understand how their mutual relationships are affected by digitization of the music industry. A qualitative analysis was done by reviewing scientific literature, performing a documents analysis and doing open interviews. In the existing economics of copyright literature, the main focus is set on transaction costs, efficiency and welfare topics. The findings can be used to understand and model how rights holders and CMOs cope with the digitization and contribute to the policy makers and economic actor’s discussion about future improvement of the copyright enforcement system.
LINK
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 The findings of the study highlight several issues like the outdated IT systems and the lack of data standardization within the system.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.
MULTIFILE
Light scattering is a fundamental property that can be exploited to create essential devices such as particle analysers. The most common particle size analyser relies on measuring the angle-dependent diffracted light from a sample illuminated by a laser beam. Compared to other non-light-based counterparts, such a laser diffraction scheme offers precision, but it does so at the expense of size, complexity and cost. In this paper, we introduce the concept of a new particle size analyser in a collimated beam configuration using a consumer electronic camera and machine learning. The key novelty is a small form factor angular spatial filter that allows for the collection of light scattered by the particles up to predefined discrete angles. The filter is combined with a light-emitting diode and a complementary metal-oxide-semiconductor image sensor array to acquire angularly resolved scattering images. From these images, a machine learning model predicts the volume median diameter of the particles. To validate the proposed device, glass beads with diameters ranging from 13 to 125 µm were measured in suspension at several concentrations. We were able to correct for multiple scattering effects and predict the particle size with mean absolute percentage errors of 5.09% and 2.5% for the cases without and with concentration as an input parameter, respectively. When only spherical particles were analysed, the former error was significantly reduced (0.72%). Given that it is compact (on the order of ten cm) and built with low-cost consumer electronics, the newly designed particle size analyser has significant potential for use outside a standard laboratory, for example, in online and in-line industrial process monitoring.
MULTIFILE
