In December of 2004 the Directorate General for Research and Technological Development (DG RTD) of the European Commission (EC) set up a High-Level Expert Group to propose a series of measures to stimulate the reporting of Intellectual Capital in research intensive Small and Medium-Sized Enterprises (SMEs). The Expert Group has focused on enterprises that either perform Research and Development (R&D), or use the results of R&D to innovate and has also considered the implications for the specialist R&D units of larger enterprises, dedicated Research & Technology Organizations and Universities. In this report the Expert Group presents its findings, leading to six recommendations to stimulate the reporting of Intellectual Capital in SMEs by raising awareness, improving reporting competencies, promoting the use of IC Reporting and facilitating standardization.
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Vanaf 2013 kunnen bedrijven – of hun financiële intermediair – voor het indienen van belastingaangiften, jaarrekeningen en financiële rapportages gebruik maken van een nieuwe elektronische standaard: Standard Business Reporting (SBR). Voortaan kunnen bedrijven rechtstreeks via hun administratiesoftware gegevens uitwisselen met overheidsinstanties, banken en intermediairs. De Rijksoverheid beoogt met SBR de administratieve lastendruk voor het Nederlandse bedrijfsleven te verlichten. Nu SBR een feit is, rijst de vraag op in hoeverre ondernemers op de hoogte zijn van de mogelijkheden en gevolgen die de invoering ervan met zich meebrengt. Het expertisecentrum Instant Reporting en het lectoraat Online Ondernemen van de Hogeschool van Amsterdam hebben dit onderzocht in samenwerking met zeven brancheorganisaties. De Hogeschool van Amsterdam wil hiermee nadrukkelijk de discussie bevorderen tussen brancheverenigingen, de Rijksoverheid, banken, intermediairs en leveranciers van administratiesoftware over wat SBR het MKB te bieden heeft. Deze publicatie is uitgegeven door het Centre for Applied Research on Economics & Management (CAREM) en het expertisecentrum Instant Reportingvan het domein Economie en Management van de Hogeschool van Amsterdam. CAREM is een centrum voor praktijkgericht economisch onderzoek gericht op kennisontwikkeling. Het expertisecentrum Instant Reporting bundelt de aanwezige kennis op het gebied van SBR en stelt studenten in staat na hun afstuderen de arbeidsmarkt te betreden met de vereiste actuele kennis over SBR.
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Although the prevalence of cybercrime has increased rapidly, most victims do not report these offenses to the police. This is the first study that compares associations between victim characteristics and crime reporting behavior for traditional crimes versus cybercrimes. Data from four waves of a Dutch cross-sectional population survey are used (N = 97,186 victims). Results show that cybercrimes are among the least reported types of crime. Moreover, the determinants of crime reporting differ between traditional crimes and cybercrimes, between different types of cybercrime (that is, identity theft, consumer fraud, hacking), and between reporting cybercrimes to the police and to other organizations. Implications for future research and practice are discussed. doi: https://doi.org/10.1177/1477370818773610 This article is honored with the European Society of Criminology (ESC) Award for the “Best Article of the Year 2019”. Dit artikel is bekroond met de European Society of Criminology (ESC) Award for the “Best Article of the Year 2019”.
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CSRD staat voor Corporate Sustainability Reporting Directive. Via deze nieuwe wet- en regelgeving moeten bedrijven duurzaamheidsgegevens opnemen in hun jaarverslag onder andere vanuit de keten. Accountants dienen deze vervolgens te voorzien van een accountantsverklaring. Vanuit de bloembollen- en knollensector (in opdracht van de stichting Sustainable Suppliers; vertegenwoordigt 80% sector voor de droogverkoop) is er een CSRD-consortium opgericht met kernteamleden uit de keten. Royal Anthos (de brancheorganisatie voor de handel bloembollen en knollen) heeft de lead om met het consortium de toepassing van de CSRD te onderzoeken. Verwacht wordt dat een beperkt aantal bedrijven en afnemers van handelsbedrijven (vaak retailers) rapportageplichtig zullen zijn en de nodige duurzaamheidsinformatie zullen opvragen uit de keten. Tijdens de eerste CSRD-exploratie sessies kwamen vragen naar voren zoals: Kunnen producenten in de keten de data leveren? Wat wordt er van ze verwacht? Deze vragen zijn zeer geschikt om in een KIEM-aanvraag te onderzoeken, met als hoofdonderzoeksvraag: “Hoe beschikbaar en geschikt is de CSRD-data binnen de bloembollen- en knollensector bij leveranciers?”, en deelvragen: a) Welke eisen stellen afnemers aan producenten? b) In hoeverre voldoen de producenten aan de eisen? c) Hoe kunnen producenten voldoen aan deze nieuwe informatievraag? d) Welke inspanningen zijn nodig om ontbrekende data te verkrijgen? e) Welke rol hee^ bestaande certificering in de informatiebehoefte? De beoogde projectresultaten zijn: o Website CSRD Q&A bollensector: o Welke CSRD-informatie is voorhanden en wat niet (de GAP)? o Mogelijke acties om de GAP te verkleinen (laaghangend fruit) o Masterclass praktisch omgaan met CSRD (wordt omgezet naar een webinar) o Ontwikkelen van een vaktechnische publicatie en of wetenschappelijke publicatie Het KIEM-project wordt geleid en uitgevoerd door het Yuverta practoraat Circulaire Agribusiness waarin wordt samengewerkt met het Hogeschool Arnhem Nijmegen lectoraat Futureproof Control (gespecialiseerd op CSRD en reporting).
The DPP4CD project, “Digital Product Passport(s) for Circular Denim: From Pilot to Practice,” focuses on delivering pilot and scalable Digital Product Passports (DPPs) in the circular denim industry. This aligns with the upcoming European Ecodesign for Sustainable Products Regulation (ESPR), making DPPs mandatory for textiles from 2027. A DPP for circular denim should clearly detail material composition, production methods, repair records, and recycling options to meet EU rules like ESPR, Corporate Sustainability Reporting Directive (CSRD) and European Sustainability Reporting Standards (ESRS). It combines dynamic lifecycle data into a standard, interoperable system that boosts traceability, cuts SME admin burdens, and supports sustainable, circular practices. Led by Saxion and HvA, the multidisciplinary project is based on a real-world Dutch use case with MUD Jeans, a leader in circular denim. The project combines circular economy principles with existing digital technologies, working with partners such as tex.tracer, Tejidos Royo, bAwear, Denim Deal, MODINT, EuFSI and, GS1 Netherlands. Instead of developing new tools, the project applies scalable technologies (augmented DPP extension) and methods e.g. blockchain, life cycle assessments, and traceability standards to denim supply chains. The project defines legal, environmental, technical, and user requirements for DPPs in circular denim and designs a modular, data-driven, and ESPR-compliant system that integrates offline and online components while ensuring interoperability, affordability, reliability, accountability, and scalability. It develops a data framework for material tracking, supported by interoperable digital solutions to improve data-sharing and transparency. A pilot DPP with MUD Jeans will cover the full lifecycle from production to recycling, enabling scalable DPP. The project aims to address societal challenges related to circularity, ensure scalable and implementable solutions, and create a digital platform where knowledge can be developed, shared, and utilised. By combining circular practices with digital technologies, DPP4CD will help textile businesses transition towards sustainable, transparent, and future-proof supply chains.
Despite the benefits of the widespread deployment of diverse Internet-enabled devices such as IP cameras and smart home appliances - the so-called Internet of Things (IoT) has amplified the attack surface that is being leveraged by cyber criminals. While manufacturers and vendors keep deploying new products, infected devices can be counted in the millions and spreading at an alarming rate all over consumer and business networks. The objective of this project is twofold: (i) to explain the causes behind these infections and the inherent insecurity of the IoT paradigm by exploring innovative data analytics as applied to raw cyber security data; and (ii) to promote effective remediation mechanisms that mitigate the threat of the currently vulnerable and infected IoT devices. By performing large-scale passive and active measurements, this project will allow the characterization and attribution of compromise IoT devices. Understanding the type of devices that are getting compromised and the reasons behind the attacker’s intention is essential to design effective countermeasures. This project will build on the state of the art in information theoretic data mining (e.g., using the minimum description length and maximum entropy principles), statistical pattern mining, and interactive data exploration and analytics to create a casual model that allows explaining the attacker’s tactics and techniques. The project will research formal correlation methods rooted in stochastic data assemblies between IoT-relevant measurements and IoT malware binaries as captured by an IoT-specific honeypot to aid in the attribution and thus the remediation objective. Research outcomes of this project will benefit society in addressing important IoT security problems before manufacturers saturate the market with ostensibly useful and innovative gadgets that lack sufficient security features, thus being vulnerable to attacks and malware infestations, which can turn them into rogue agents. However, the insights gained will not be limited to the attacker behavior and attribution, but also to the remediation of the infected devices. Based on a casual model and output of the correlation analyses, this project will follow an innovative approach to understand the remediation impact of malware notifications by conducting a longitudinal quasi-experimental analysis. The quasi-experimental analyses will examine remediation rates of infected/vulnerable IoT devices in order to make better inferences about the impact of the characteristics of the notification and infected user’s reaction. The research will provide new perspectives, information, insights, and approaches to vulnerability and malware notifications that differ from the previous reliance on models calibrated with cross-sectional analysis. This project will enable more robust use of longitudinal estimates based on documented remediation change. Project results and methods will enhance the capacity of Internet intermediaries (e.g., ISPs and hosting providers) to better handle abuse/vulnerability reporting which in turn will serve as a preemptive countermeasure. The data and methods will allow to investigate the behavior of infected individuals and firms at a microscopic scale and reveal the causal relations among infections, human factor and remediation.
