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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Since 2013, MoneyLab has explored questions around the design of money, the democratization of finance, and the new shifts in fintech. On 14 and 15 November, the 7th edition of MoneyLab was held in Amsterdam. At MoneyLab #7: Outside of Finance, we looked beyond the world of libertarian startups with their often masculine preoccupations. From hyperlocal cryptocurrencies at techno festivals to self-organized exchange systems in refugee communities, what are promising design strategies to counter the corporatization of money? Can we imagine a crypto economy that values care work and focuses on equity and solidarity?
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This white paper is the result of a research project by Hogeschool Utrecht, Floryn, Researchable, and De Volksbank in the period November 2021-November 2022. The research project was a KIEM project1 granted by the Taskforce for Applied Research SIA. The goal of the research project was to identify the aspects that play a role in the implementation of the explainability of artificial intelligence (AI) systems in the Dutch financial sector. In this white paper, we present a checklist of the aspects that we derived from this research. The checklist contains checkpoints and related questions that need consideration to make explainability-related choices in different stages of the AI lifecycle. The goal of the checklist is to give designers and developers of AI systems a tool to ensure the AI system will give proper and meaningful explanations to each stakeholder.
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