From Web3 Literacy to Adoption Intention

With the rise of financial technology, traditional financial institutions are facing unprecedented impact and opportunities. This paper provides an in-depth analysis of the impact of fintech on traditional financial institutions and the integration and development of the two. Firstly, the research background and purpose of the integration of fintech and traditional financial institutions are described. Then it analyses the development status of fintech and traditional financial institutions, including the development history and characteristics of fintech and the status quo and challenges of traditional financial institutions. Then it discusses the impact of fintech on traditional financial institutions at the business level and profit model. After that, the integration mode of fintech and traditional financial institutions is elaborated, including technology application integration and cooperation case study. Then it looks forward to the future trend of the integration of FinTech and traditional financial institutions, including the development direction outlook and the future pattern and competitive situation. Finally, the research conclusions are summarised and the future research direction is outlooked. The integration of fintech and traditional financial institutions is an unstoppable trend, and traditional financial institutions should actively respond to the challenges and seize the opportunities to achieve higher quality development.

The rapid evolution of financial technology (fintech) has significantly transformed the financial services landscape, creating opportunities for innovation and introducing new risks. Traditional financial institutions and fintech companies operate under different paradigms, resulting in disparate risk management practices. This paper proposes a comprehensive framework for integrating operations and risk management practices between traditional financial institutions and fintech companies. By leveraging advanced technologies such as artificial intelligence (AI) and machine learning (ML), the framework aims to ensure consistent and effective risk assessment across the financial sector. The financial services industry is characterized by rapid innovation, primarily driven by fintech companies offering various services that enhance efficiency, accessibility, and customer satisfaction. However, the growth of fintech brings substantial risks, including cyber threats, data privacy concerns, regulatory compliance challenges, and operational vulnerabilities. Traditional financial institutions prioritize stability, security, and compliance within established risk management frameworks. The divergence in operational models and risk management approaches creates a fragmented risk landscape, posing significant challenges to the financial system's stability and security. This paper identifies the critical need for a unified framework integrating the risk management practices of traditional financial institutions and fintech companies. The proposed framework leverages AI and ML to enhance the accuracy and comprehensiveness of risk assessments, utilizing a centralized data repository for real-time risk assessment. Unified risk management policies covering cybersecurity, operational risk, regulatory compliance, financial crime, and real-time monitoring and reporting tools ensure robust risk management protocols and prompt response to potential risks. Aligning with regulatory requirements and incorporating best practices from both sectors, the integrated risk management approach enhances the financial ecosystem's stability, security, and public confidence.

The rapid evolution of financial technology (fintech) has significantly transformed the financial services landscape, creating opportunities for innovation and introducing new risks. Traditional financial institutions and fintech companies operate under different paradigms, resulting in disparate risk management practices. This paper proposes a comprehensive framework for integrating operations and risk management practices between traditional financial institutions and fintech companies. By leveraging advanced technologies such as artificial intelligence (AI) and machine learning (ML), the framework aims to ensure consistent and effective risk assessment across the financial sector. The financial services industry is characterized by rapid innovation, primarily driven by fintech companies offering various services that enhance efficiency, accessibility, and customer satisfaction. However, the growth of fintech brings substantial risks, including cyber threats, data privacy concerns, regulatory compliance challenges, and operational vulnerabilities. Traditional financial institutions prioritize stability, security, and compliance within established risk management frameworks. The divergence in operational models and risk management approaches creates a fragmented risk landscape, posing significant challenges to the financial system's stability and security. This paper identifies the critical need for a unified framework integrating the risk management practices of traditional financial institutions and fintech companies. The proposed framework leverages AI and ML to enhance the accuracy and comprehensiveness of risk assessments, utilizing a centralized data repository for real-time risk assessment. Unified risk management policies covering cybersecurity, operational risk, regulatory compliance, financial crime, and real-time monitoring and reporting tools ensure robust risk management protocols and prompt response to potential risks. Aligning with regulatory requirements and incorporating best practices from both sectors, the integrated risk management approach enhances the financial ecosystem's stability, security, and public confidence.

The fintech ecosystem is undergoing a significant transformation, driven by the rapid rise of startups that are reshaping traditional financial systems. This paper explores the key players in the fintech ecosystem, including fintech startups, traditional financial institutions, big tech companies, regulators, and investors. Fintech startups, leveraging advanced technologies such as artificial intelligence, blockchain, and digital payments, are disrupting traditional banking, lending, wealth management, and insurance sectors. The study highlights how these startups provide faster, cost-effective, and more customer-centric financial services, challenging the dominance of traditional banks. While traditional financial institutions face challenges such as outdated legacy systems and regulatory constraints, many are adapting by partnering with fintech firms or developing their own digital solutions. Additionally, big tech companies like Google, Apple, and Amazon are increasingly entering the financial space, further intensifying competition. Despite the opportunities fintech offers, challenges such as regulatory compliance, cybersecurity threats, and market sustainability remain critical concerns. The paper concludes that the future of finance will likely involve increased collaboration between fintech startups and traditional institutions, driving financial innovation while ensuring security and stability in the global economy. This paper is leaned towards how startups have started reshaping their traditional financial systems. This paper also explains the level of understanding of different technological banking products. The findings of this paper explains the awareness of startups, their various ways of getting accustomed towards reshaping their transactions and bringing awareness about different financial institutional products by the respondents among the mid-sized IT companies in and around Bangalore City.

The rapid rise of fintech innovation has ushered in an era of change in the global financial services industry, presenting traditional financial institutions with a complex mix of challenges and opportunities. The dynamic interaction between fintech advances and the traditional banking system marks a pivotal moment in the financial industry, where the convergence of digital technologies with the financial services structure is reshaping the traditional banking business model. FinTech innovations, characterised by their flexibility, innovation and customer-centric solutions, are challenging the established models of traditional banks, forcing them to rethink their strategies, operations and services. These challenges are multifaceted, including the need for digital transformation, increasing competitive pressures from fintech startups, evolving consumer expectations for instant and seamless financial services, and the need to find a balance between innovation and financial stability and consumer protection in a changing regulatory environment. At the same time, fintech innovations offer unprecedented opportunities for traditional financial institutions to redefine their roles in the financial ecosystem, improve operational efficiency, and expand the scope of their services. By adopting blockchain technology to enable secure transactions, artificial intelligence technology to provide personalised customer service, and data analytics to improve risk management, traditional banks can open up new avenues for growth and innovation. In addition, fintech can enable traditional banks to offer convenient and affordable financial products to underserved or unbanked populations, thereby promoting financial inclusion. The intricate relationship between fintech innovation and traditional financial institutions embodies a dual narrative of disruption and convergence, highlighting the need for traditional banks to take a strategic and adaptive approach to navigating the fintech revolution. As traditional financial institutions endeavour to address the challenges posed by fintech and embrace the opportunities it presents, they will play a crucial role in shaping a more inclusive, efficient and resilient financial system of the future. The need for a nuanced understanding of technological, regulatory and market dynamics in the evolution of fintech underscores the importance of innovation, collaboration and customer-centricity in the development of the financial services industry.

PurposeThis paper employs data from the World Bank to examine the effect of traditional banks on FinTech and financial development in the Southern African Development Community (SADC) region.Design/methodology/approachThe study employs the Generalized Method of Moments (GMM) as the primary data analysis method.FindingsThe findings of the study demonstrate a bi-directional relationship between traditional financial institutions and FinTech. Traditional financial institutions are observed to facilitate the adoption of FinTech solutions, whilst the disruptive effects of FinTech incentivize traditional banks to adapt to the changing financial landscape and tailor their service and product offerings to reflect recent technological advancements. Consequently, there exists a positive relationship between traditional financial institutions and financial development in the SADC region.Practical implicationsOur findings suggest the need for market liberalization and enhanced institutional quality controls for policymakers. Traditional banks must adapt their business models and incorporate FinTech solutions to remain competitive and relevant. Collaborative partnerships between traditional banks and FinTech firms have emerged as a practical approach to leverage the strengths of both sectors.Originality/valueThis is one of the first studies to examine the role of traditional financial institutions in FinTech and financial development using GMM in the SADC region.

Gen Z are reshaping the way financial advice is sought and acted upon. Moving away from traditional sources like family, banks, and financial advisors, younger generations are turning to social media platforms like TikTok and Instagram, where financial influencers —“finfluencers”— offer accessible, though often unregulated, advice. While this shift has democratized financial education, it has also introduced significant risks to advice-seekers, including misinformation, high-risk investment recommendations, and a lack of regulatory oversight. For Credit Unions, this transformation presents challenges and opportunities. Younger audiences often see traditional financial institutions such as banks as outdated, inaccessible, and misaligned with their values. However, Credit Unions, with their ethical foundations and community focus, are well- positioned to fill the trust gap created by the shortcomings of both traditional institutions and finfluencers. By engaging with young people where they seek advice – on social media – Credit Unions can offer relatable, trustworthy, and sound financial guidance that aligns with their mission to promote financial literacy and inclusivity. This white paper explores ways in which Credit Unions can respond to this shift in advice-seeking behaviour to revitalise and grow their memberships. Discussions with UK-based Credit Unions reveal cautious optimism about engaging in the finfluencer space, with several recognizing the potential to use social media platforms to amplify messages of fairness, community, and responsible financial management. However, barriers such as limited digital innovation capacity, regulatory concerns, and a general lack of awareness about the finfluencer phenomenon remain. To address these challenges, we propose a coordinated approach for Credit Unions to build capacity and credibility in the digital advice ecosystem. This includes developing sectoral guidelines for engaging responsibly with finfluencers, pooling resources to experiment with digital campaigns, creating a practical playbook for social media engagement, and modernizing product offerings to align with Gen Z’s preferences for fast, convenient, and values-driven services. By strategically entering the online advice ecosystem, Credit Unions can not only mitigate the risks of misinformation but also position themselves as a trusted alternative to both traditional institutions and unregulated finfluencers. This approach offers a pathway for Credit Unions to expand their membership, strengthen their community impact, and secure their relevance in an increasingly digital world.

The modern world is changing rapidly under the influence of digital technologies. This also applies to the financial sector of the economy. Since the mid-2000s, new fintech companies have entered the market. These companies are using new technologies to improve existing and create new financial services. In the course of their development, the interests of new market entrants often overlap with those of traditional participants, mainly banks. Investigation of the relations between fintech companies and traditional financial institutions gives an opportunity to form an idea of the financial picture of the near future. The research of the relations between fintech companies and traditional financial institutions gives an opportunity to form an idea of the financial picture of the near future. The article considers both aspects of competition and aspects of possible cooperation between financial market participants in a digital economy. The results of the scientific research demonstrate that cooperation will prevail over the competition. Probably existing financial institutions will reformat their architecture and become digital ones at the core.

robot-advisor plays a significant role in traditional financial institutions because they need to process a massive amount of customer and financial data resources. This article uses the Factor Analysis method for Integrated Evaluation, and it compares different Robo-advisor products in China and other countries to evaluate the Robo-advisor performance in traditional financial institutions with AI and cloud computing. The research includes China Merchants Bank (CMB), Industrial and Commercial Bank of China (ICBC), Betterment, Wealthfront, etc. The result shows that compares to other products in the rest of the world, the Robo-advisors of ICBC and CMB from China have a shortage in customer profiles, the underlying asset of the investment portfolio, product targeting and positioning. According to the result, this article analyses the problem in applying Robo-advisor in traditional financial institutions and provides some development suggestions.

Quantile connectedness and the determinants between FinTech and traditional financial institutions: Evidence from China

Given their widespread presence in rural and poor areas, post offices can play a leading role in advancing financial inclusion. Yet little is known about the type of clients that post offices reach through their financial service offerings as compared with clients of traditional financial institutions (such as commercial banks). This paper documents and analyzes account ownership patterns at post offices in comparison with traditional financial institutions, using the Global Financial Inclusion Indicators (Global Findex) database, which collects data on account ownership at post offices in 60 countries where postal accounts are offered. Controlling for a host of individual characteristics and country fixed effects, the paper finds that post offices are relatively more likely than traditional financial institutions to provide accounts to individuals who are most likely to be from financially vulnerable groups, such as the poor, less educated, and those out of the labor force. The paper also uses data from the Universal Postal Union to explore the degree to which different postal business models and the size of the postal network help explain differences in account ownership patterns. The results suggest that post offices can boost account ownership by acting as cash-merchants for transactional financial services, such as electronic government and remittance payments, and that partnerships between the post office and other financial institutions coincide with a higher bank account penetration. The paper also finds that the size of the postal network matters; the larger the network-relative to the network of traditional financial institutions -- the more likely it is that adults have an account at the post office.

Fintech startups play an important role, particularly where traditional financial institutions are unable to meet the growing need of the customers. Fintech startups combine IT and finance to develop financial services without the assistance of traditional financial institutions, but the sector is so fluid that startups must innovate continuously. This paper focused on Fintech Startups. The research was anchored on the balanced scorecard model, Schumpeter’s theory of innovation, and the lean start-up framework. Existing secondary data on fintech start-ups was analysed. The findings indicated that Kenyan government regulations, user authentication, and Government bureaucracy remains a serious hindrance to the future of startups. However, with growth of Fintech startups in the country the future is promising and thus changing the land scape of the traditional financial institutions. The study recommends that the governments could allow Fintech startups to visionary new products and technology to meet underserved customer requirements while enforcing light regulations contact in the early phases. The tradition financial institutions should collaborate with the Fintech firms to strengthen their competitive edge and thus performance.

Risk spillovers between FinTech and traditional financial institutions: Evidence from the U.S.

Peer-to-Peer (P2P) lending, which makes borrowers and investors meet directly through online platforms bypassing traditional financial institutions, is an emerging financing market after the traditional financial institutions crushed during the global financial crisis from 2007 to 2009. P2P lending platforms meet the credit demand more efficiently and play a vital role for the credit market and economic activity. This study sheds light on whether the credit spread of P2P lending is well predictive of economic activity compared to the bond credit spread which has been fully investigated in prior studies. Our findings show that the P2P credit spread performs similarly in predicting the economic activity as bond credit spread only during the financial crisis. However, the predictive power of P2P credit spread becomes inverse during the noncrisis periods since P2P lending platforms provide an alternative and easier financing channel to individuals who hardly borrow money for refinancing from traditional financial institutions. This study highlights the alternative role of P2P lending platform in financing and provides the evidence of different predictive powers of P2P credit spread on economic activity in different time periods.

The relevance of the article is determined by solving the problems of expansion of BigTech-companies’ activities in the field of payments, which take place at present. The aim of the article to identify perspective directions of interaction of ecosystems with credit institutions in the payment sector. The authors used the following methods: system-functional, system-structural, statistical analysis and synthesis. The research analyzed current approaches to the definition of ecosystems and digital platforms and proposed the authorial interpretation; identified the main advantages associated with the participation of ecosystems in financial and payment intermediation; reviewed the models of provision of financial and payment services by ecosystems and identified the regulatory framework of their activities in foreign countries; proposed criteria for assigning a company to an ecosystem in Russia and marked out prospects of ecosystem activities in the payment sector. It is concluded that an ecosystem is a new institutional unit that has advantages in comparison with traditional financial institutions: the presence of a global customer base, the possibility of rapid implementation of network effects, the lack of excessive regulatory burden. Objective criteria that allow to assign a company to an ecosystem are: general and specific criteria that take into account the country characteristics of doing business, the level of development of the financial market, information technology, etc. Regulation of activities of ecosystems of the BigTech-companies allows to minimize basic, global and country risks by improving financial regulation and antimonopoly legislation, developing of unified standards and requirements for cross-border activities of ecosystems of BigTech-companies. The main scenarios of interaction between traditional financial institutions and ecosystems in the Russian financial and payment markets are: preservation of the dominance of traditional financial institutions; cooperation between banks and ecosystems; competition between banks and ecosystems; transition to a financial ecosystem dominance scenario.