Purpose: The main purpose of this thesis to explore the possible application of blockchain technology in solving issues and concerns of members and stakeholders in multi-stakeholder cooperatives, which prevent effective collaboration in governance.Design: This study is performed using an extensive literature study on blockchain technology, relevant business cases solving issues and concerns comparable to these in multi-stakeholder cooperatives and six semi-structured interviews with blockchain experts, using the business case of multi-stakeholder cooperative Gebiedscoöperatie Westerkwartier.Findings: Findings reveal blockchain-based solutions can contribute to solving existing issues and concerns in multi-stakeholder cooperatives, by implementing its main characteristics: creating transparency, immutability and distributed consensus. This results in increased trust, increased efficiency and accuracy in decision-making, decreased administrative costs due to self-executable smart contracts and enables product traceability in supply chains. However, information is retained in supply chains, preventing blockchain from reaching its full potential. In addition, smart contracts are not legally binding in all countries yet and blockchain, as most technologies, is subject to human or technical error.Value: Overall, this study contributes to understanding issues and concerns existing in multistakeholder cooperatives and the potential application and benefit of blockchain technology to solve existing issues preventing effective collaboration. Expert and participation: Jan Veuger
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This article describes the translation and cultural adaptation process of the WRITIC (Writing Readiness Inventory Tool in Context) into European Portuguese. We examined the content and convergent validity, test-retest, and interrater reliability on the norm-referenced subdomain of the Portuguese (PT) WRITIC Task Performance (TP). To establish content validity, we consulted six experts in handwriting. Internal consistency was found with 70 children, test-retest reliability with 65, inter-rater reliability with 69, and convergent validity with 87. All participants were typically developing kindergarten children. Convergent validity was examined with the Beery–Buktenica Developmental Test of Visual-Motor Integration (Beery™VMI-6) and the Nine Hole Peg-Test (9-HPT). On content validity, we found an agreement of 93%, a good internal consistency with Cronbach’s alpha of 0.72, and an excellent test-retest and inter-rater reliability with ICCs of 0.88 and 0.93. Correlations with Beery™VMI-6 and 9-HPT were moderate (r from 0.39 to 0.65). Translation and cross-cultural adaptation of WRITIC into European Portuguese was successful. WRITIC-PT-TP is stable over time and between raters; it has excellent internal consistency and moderate correlations with Beery™VMI-6 and 9-HPT. This analysis of the European Portuguese version of WRITIC gives us the confidence to start the implementation process of WRITIC-PT in Portugal.
Over the past 10 years, different types of financing have become available in the Netherlands. It is now possible to combine bank loans, crowdfunding loans and risk capital. Moreover, fintech applications lower the threshold for applications and reduce response times from weeks to just days or even hours. Fraser, Bhaumik and Wright (2015) point out there is a lack of knowledge of the cognitive process involved in selecting SME financing. This paper looks into the selection process financial advisers use, against the backdrop of the growing range of funding possibilities. To assess this process, we try to understand dominant habits and related heuristics. Within our explorative study, 19 experienced and independent SME financial advisers were interviewed. The questions address their knowledge, skills, experiences and choices in the selection process on the financing or refinancing of working capital and growth. Taking a grounded theoretical approach, we use Atlas TI to label all answers and statements step by step. The findings suggest a strong bias of decision-making towards the more traditional banking products. Yet advisers state they are aware of, and familiar with, other solutions. We have also found that fintech solutions are hardly used to prepare financing solutions up front. Financial advisers estimate the likelihood of acceptance by a few financial providers they know well within their personal network. We suggest that there is a behavioural approach to financing in the day-to-day decisions made by financial advisers. As long as automated selections are not fully transparent and are unable to combine all types of financing up front, financial advisers will be guided by habit or by availability, confirmation and affect heuristics, rather than looking for new financing solutions and combinations.
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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.
