Suchergebnisse

The integration of the financial industry and financial technology (Fintech) plays a pivotal role in increasing financial services reach and inclusion for the large unbanked population in Indonesia. Fintech adoption optimization expands the financial access to formal financial institutions, especially to vulnerable groups such as the unbanked population who predominantly reside in rural areas far from formal financial institutions. Fintech is viewed as a game changer to bring finance to the unreached communities via information technology and digital financial landscape. In this causal research, data collection was done via online questionnaires to 485 Fintech users between December 2020 and April 2021. Data analysis and path modelling was performed using smartPLS 3.0 software. Result shows user innovativeness as a significant predictor, directly and indirectly affecting the adoption of Fintech in Indonesia, while user attitude found the most important factor towards Fintech adoption. Financial literacy is the least important variable to predict Fintech adoption, contrary to popular belief. This indicates that Fintech usage requires less financial literacy and is potential to reach unbanked population and those with low financial literacy. To make Fintech more inclusive, the government needs to accelerate improving Information and Communications Technology (ICT) infrastructure such as widening mobile broadband penetration and soft infrastructure by encouraging Fintech startup, allowing regulatory sandbox for startups, and driving financial institutions to innovate through Fintech to bring financial services to unbanked population.

One of the Sustainable Development Goals for 2030 is building resilient infrastructure, promoting inclusive and sustainable industrialisation, and fostering innovation. This paper aims to analyse the possible consequences of stimulating commercial exploitation of academic research, encouraged by recent policy initiatives and legislative changes, on the quantity and quality of scientific knowledge in Spain's public universities. We collected data of innovation variables (national patents, R&D and consultancy agreements, services rendered, licenses and PCT extensions and spin-offs), publications and number of citations for 48 Spanish public universities in 2009-2018 from Observatorio IUNE, which obtains data from the Spanish Patent and Trademark Office, the Network of Research Results Transfer Offices and Web of Science. The results of linear regressions models showed that universities that render more services and have a greater number of PCTs (patent cooperation treaties), have a positive impact on the quantity and quality of the publications in Spanish universities. However, the number of national patents has no impact on the scientific output. Finally, universities with a greater number of patents have a lower number of citations.

The study explores factors influencing research and development (R&D) costs in developing economies. The findings may inform the decision-making process for firms keen on innovation-related expenditures. The paper examines 164 Kenyan firms using the World Bank Enterprise Survey (WBES) data for 2018. These factors are classified into three broad categories. These are firm characteristics (age, size, and ownership), business competitiveness (export orientation, innovation strategies, and informal competition), and technology upgrade challenges (skills availability, financial constraint, and technology incompatibility). The findings reveal that approximately 11% of firms incurring R&D costs export their products (services). Exportation, skilled labor availability, and degree of informal competition correlate positively and significantly to R&D expenditure. The largest ownership (%) has a marginal effect on the outcome variable. Moreover, firm size substantially influences R&D costs, with small to medium firms incurring lower costs than their larger counterparts. However, firm age, innovation strategy, financial constraint, and technology incompatibility weakly influence the outcome variable. The product innovation strategy's interaction effect with skills, firm age and informal competition substantially impacts R&D costs. Notably, firms' R&D spending must be in tandem with the domestic informal competition intensity, skills availability, and foreign market targeted. The study employs the Ordinary Least Squares (OLS) regression in examining the relationship between the predictors and the dependent variable.

This paper examines the question of what kind of money will govern the 21st century by examining the developments which characterise this landscape. On the basis of a review of the available literature and evidence, it is clear that certain technological innovations, such as the movement towards electronic money, will undoubtedly change how we operate. However, the conclusion in this paper is less sanguine regarding the prospects of a global currency, regional monetary unions, or states' exit from or central banks' control of money. This paper also sees poor prospects for cryptocurrencies at the moment, given their focus on the decentralisation and politicisation of money, because money requires a backstopping force, making it inherently political. Finally, this paper considers how regulators may seek to ensure that money in its digital form is not taken advantage of and applied in malevolent activities. The study used correlation to establish the level of association among variables. A multiple regression analysis was used to draw an econometric model explaining the relationship between the independent and dependent variables. The following variables were used as independent variables: monetary aggregate (M1), harmonised index of consumer prices (HICP), Euro Interbank Offered Rate (EURIBOR), US dollar/euro, and the USD value of Bitcoin. Multiple regression predicted that when inflation rises, the money supply will decrease. M1 includes cash in circulation, current deposits, and other than demand deposits. The study concludes that price increases encourage people to keep their money in longer-term deposits, including in cryptocurrency. Additionally, an increase in EURIBOR and US dollar/euro reduces the supply of money. Otherwise, an increase in the price of bitcoin in the economy would increase the overall money supply.

The integration of the financial industry and financial technology (Fintech) plays a pivotal role in increasing financial services reach and inclusion for the large unbanked population in Indonesia. Fintech adoption optimization expands the financial access to formal financial institutions, especially to vulnerable groups such as the unbanked population who predominantly reside in rural areas far from formal financial institutions. Fintech is viewed as a game changer to bring finance to the unreached communities via information technology and digital financial landscape. In this causal research, data collection was done via online questionnaires to 485 Fintech users between December 2020 and April 2021. Data analysis and path modelling was performed using smartPLS 3.0 software. Result shows user innovativeness as a significant predictor, directly and indirectly affecting the adoption of Fintech in Indonesia, while user attitude found the most important factor towards Fintech adoption. Financial literacy is the least important variable to predict Fintech adoption, contrary to popular belief. This indicates that Fintech usage requires less financial literacy and is potential to reach unbanked population and those with low financial literacy. To make Fintech more inclusive, the government needs to accelerate improving Information and Communications Technology (ICT) infrastructure such as widening mobile broadband penetration and soft infrastructure by encouraging Fintech startup, allowing regulatory sandbox for startups, and driving financial institutions to innovate through Fintech to bring financial services to unbanked population.