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    Wyświetlanie 1-4 z 4
    Tytuł:
    Adoption factors in digital lending services offered by FinTech lenders
    Autorzy:
    Adamek, Jacek
    Solarz, Małgorzata
    Powiązania:
    https://bibliotekanauki.pl/articles/19322744.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    FinTech
    TAM
    loan
    financial services
    consumer behavior
    Opis:
    Research background: Traditional financial institutions are facing new competitors - FinTech lenders. The development of these entities and their services depends on many factors, including the level of their acceptance and use by potential and/or current customers. This acceptance determines the ability to create desired financial results and defines the set of FinTech lenders' activities and also their environment aimed at shaping the offer which meets their consumers' expectations. The limited number of studies addressing the identification and assessment of the impact exerted by the adoption factors of lending services offered by FinTech lenders and the lack of such analyzes relating to these decisions made by consumers from Central and Eastern Europe argue for the need to conduct such research. Purpose of the article: Identify factors driving consumers' adoption of digital lending services offered by FinTech lenders in Poland. Methods: Critical analysis of the source literature, descriptive and comparative analysis, diagnostic survey, econometric methods (PCA, SEM used in the TAM). Empirical data come from the surveys carried out in May 2022 using the CAWI method and covering a representative sample of 1,000 Poles. Findings & value added: The study identified factors driving consumers' adoption of digital lending services, including perceived trust, risk, usefulness and financial health. It has been proven that the perceived ease of use and innovation do not represent the statistically significant constructs influencing the accepted adoption attitudes. The adopted research model shows a considerable power to explain the intention of using digital loans. The article is the first scientific study of this type discussing the identification of adoption factors for loan services offered by FinTech lenders operating on the Central and Eastern European market. The presented example of Poland being the leader in this dynamically developing market provides the background for conducting international comparative studies in the future.
    Źródło:
    Oeconomia Copernicana; 2023, 14, 1; 169-212
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The role of the Lendtech sector in the consumer credit market in the context of household financial exclusion
    Autorzy:
    Waliszewski, Krzysztof
    Cichowicz, Ewa
    Gębski, Łukasz
    Kliber, Filip
    Kubiczek, Jakub
    Niedziółka, Paweł
    Solarz, Małgorzata
    Warchlewska, Anna
    Powiązania:
    https://bibliotekanauki.pl/articles/19322780.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    FinTech
    Lendtech
    credit
    financial exclusion
    lending platforms
    Opis:
    Research background: According to the World Bank (2020), about 60% of adults in developing countries do not use formal financial services. Furthermore, according to the Polish Association of Loan Institutions (2022), about 3 million Poles use loans, most of them obtained online. Among the reasons for more than a decade of growth of interest in the non-bank consumer lending market there are the development of modern technology applications in finance and the establishment of the Lendtech sector. Purpose of the article: The main goal of the paper is to verify the role played by the Lendtech (LT) sector in the consumer credit market in the context of household financial exclusion. The following research questions were asked: Do credit-excluded households take advantage of LT services and, if so, to what extent? What are the behaviours and preferences of those who use consumer credit offered by LT? Do socio-demographic characteristics determine consumer use of loans offered by LT and, if so, what are they? Is the use of loans offered by LT due to credit exclusion or other factors? What action should be taken by participants in the digital consumer loan market interested in its inclusive direction? Methods: The paper uses the following methods: critical analysis of the literature, Kruskal-Wallis test, Mann-Whitney test, and nonparametric regression algorithm: k-nearest neighbors, as well as inductive inference methods. The data used is primary in nature and comes from a nationwide survey, September 2022 (CAWI method) of 1,200 Poles, of whom 200 respondents are Lendtech customers. The quota selection applied made it possible to reflect characteristics corresponding to the population of customers of lending institutions registered in BIK databases. Findings & value added: The article is a pioneering study based on an independent scientific survey, devoted to the Polish LT services market considered in terms of its relationship with one of the types of financial exclusion: credit exclusion. The most important conclusion is that people at risk of credit exclusion find a financing substitute in the LT sector, and thus it plays an important role in reducing financial exclusion, while maintaining the principle of creditworthiness verification.
    Źródło:
    Oeconomia Copernicana; 2023, 14, 2; 609-643
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Artificial intelligence algorithms and cloud computing technologies in blockchain-based fintech management
    Autorzy:
    Lăzăroiu, George
    Bogdan, Mădălina
    Geamănu, Marinela
    Hurloiu, Lăcrămioara
    Luminița, Luminița
    Ștefănescu, Roxana
    Powiązania:
    https://bibliotekanauki.pl/articles/19901187.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    artificial intelligence algorithms
    cloud computing
    blockchain
    fintech
    green and sustainable finance
    banking
    Opis:
    Research background: Fintech development shapes corporate investment efficiency and economic growth with innovative tools, and can decrease financing constraints of enterprises, enabling direct and indirect financing and furthering inter-bank competition. Crowdfunding- and blockchain-based fintech operations harness deep and maching learning algorithms, augmented and virtual reality technologies, and big data analytics in mobile payment transactions. Purpose of the article: We show that fintechs have reconfigured financial service delivery by harnessing AI-based data-driven algorithms and cloud and blockchain technologies. Fintech optimizes financial organization and services, economic structures and growth, data analysis, and digital banking performance.  Machine learning algorithms can streamline payment operation capabilities and process promptness, ensuring smooth operational flows, assessing risks, and detecting frauds and money laundering by historical data and customer behavior analysis across instant payment networks and infrastructures. Methods: Quality tools: AXIS, Eppi-Reviewer, PICO Portal, and SRDR. Search period: July 2023. Search terms: “fintech” + “artificial intelligence algorithms”, “cloud computing technologies”, and “blockchain technologies”. Selected sources: 40 out of 195. Published research inspected: 2023. Data visualization tools: Dimensions and VOSviewer. Reporting quality assessment tool: PRISMA. Findings & value added: Fintech development enables organizational innovation by mitigating information asymmetry and financing limitations while providing financial assistance and tax incentives in relation to products and services. The fintech growth has influenced the dynamic intermediary function of financial institutions in terms of sustainability and economic development. Fintech and natural resources negatively influence, while green innovations and financial development further, environmental sustainability.
    Źródło:
    Oeconomia Copernicana; 2023, 14, 3; 707-730
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Big data management algorithms in artificial Internet of Things-based fintech
    Autorzy:
    Andronie, Mihai
    Iatagan, Mariana
    Uță, Cristian
    Hurloiu, Iulian
    Dijmărescu, Adrian
    Dijmărescu, Irina
    Powiązania:
    https://bibliotekanauki.pl/articles/19902795.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    big data management algorithms
    artificial intelligence
    Internet of Things
    fintech
    banking
    capital markets
    Opis:
    Research background: Fintech companies should optimize banking sector performance in assisting enterprise financing as a result of firm digitalization. Artificial IoT-based fintech-based digital transformation can relevantly reverse credit resource misdistribution brought about by corrupt relationship chains. Purpose of the article: We aim to show that fintech can decrease transaction expenses and consolidates firm stock liquidity, enabling excess leverage decrease and cutting down information asymmetry and transaction expenses across capital markets. AI- and IoT-based fintechs enable immersive and collaborative financial transactions, purchases, and investments in relation to payment tokens and metaverse wallets, managing financial data, infrastructure, and value exchange across shared interactive virtual 3D and simulated digital environments. Methods: AMSTAR is a comprehensive critical measurement tool harnessed in systematic review methodological quality evaluation, DistillerSR is harnessed in producing accurate and transparent evidence-based research through literature review stage automation, MMAT appraises and describes study checklist across systematic mixed studies reviews in terms of content validity and methodological quality predictors, Rayyan is a responsive and intuitive knowledge synthesis tool and cloud-based architecture for article inclusion and exclusion suggestions, and ROBIS appraises systematic review bias risk in relation to relevance and concerns. As a reporting quality assessment tool, the PRISMA checklist and flow diagram, generated by a Shiny App, was used. As bibliometric visualization and construction tools for large datasets and networks, Dimensions and VOSviewer were leveraged. Search terms were “fintech” + “artificial intelligence”, “big data management algorithms”, and “Internet of Things”, search period was June 2023, published research inspected was 2023, and selected sources were 35 out of 188. Findings & value added: The growing volume of financial products and optimized operational performance of financial industries generated by fintech can provide firms with multifarious financing options quickly. Big data-driven fintech innovations are pivotal in banking and capital markets in relation to financial institution operational efficiency. Through data-driven technological and process innovation capabilities, AI system-based businesses can further automated services.
    Źródło:
    Oeconomia Copernicana; 2023, 14, 3; 769-793
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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