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2023 | 14 | 3 | 707-730

Article title

Artificial intelligence algorithms and cloud computing technologies in blockchain-based fintech management

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Abstracts

EN
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.

Year

Volume

14

Issue

3

Pages

707-730

Physical description

Dates

published
2023

References

  • Abakah, E. J. A., Tiwari, A. K., Ghosh, S., & Doğan, B. (2023). Dynamic effect of Bitcoin, fintech and artificial intelligence stocks on eco-friendly assets, Islamic stocks and conventional financial markets: Another look using quantile-based approaches. Technological Forecasting and Social Change, 192, 122566.
  • Ahelegbey, D., Giudici, P., & Pediroda, V. (2023). A network based fintech inclusion platform. Socio-Economic Planning Sciences, 87(B), 101555.
  • Akmal, S., Talha, M., Faisal, S. M., Ahmad, M., & Khan, A. K. (2023). Perceptions about FinTech: New evidences from the Middle East. Cogent Economics & Finance, 11(1), 2217583.
  • Alaassar, A., Mention, A. L., & Aas, T. H. (2023). Facilitating innovation in FinTech: A review and research agenda. Review of Managerial Science, 17, 33–66.
  • Almansour, M. (2023). Artificial intelligence and resource optimization: A study of Fintech start-ups. Resources Policy, 80, 103250.
  • Andronie, M., Lăzăroiu, G., Ștefănescu, R., Uță, C., & Dijmărescu, I. (2021). Sustainable, smart, and sensing technologies for cyber-physical manufacturing systems: A systematic literature review. Sustainability, 13, 5495.
  • Arora, A., Gupta, S., Devi, C., & Walia, N. (2023). Customer experiences in the era of artificial intelligence (AI) in context to FinTech: A fuzzy AHP approach. Benchmarking: An International Journal. Advance online publication.
  • Awais, M., Afzal, A., Firdousi, S., & Hasnaoui, A. (2023). Is fintech the new path to sustainable resource utilisation and economic development? Resources Policy, 81, 103309.
  • Babaei, G., Giudici, P., & Raffinetti, E. (2023). Explainable FinTech lending. Journal of Economics and Business. Advance online publication.
  • Barbu, C. M., Florea, D. L., Dabija, D. C., & Barbu, M. C. R. (2021). Customer experience in fintech. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1415‒1433.
  • Ben Romdhane, Y., Kammoun, S., & Loukil, S. (2023). The impact of Fintech on inflation and unemployment: The case of Asia. Arab Gulf Journal of Scientific Research. Advance online publication.
  • Bhutto, S. A., Jamal, Y., & Ullah, S. (2023). FinTech adoption, HR competency potential, service innovation and firm growth in banking sector. Heliyon, 9, e13967.
  • Campanella, F., Serino, L., Battisti, E., Giakoumelou, A., & Karasamani, I. (2023). FinTech in the financial system: Towards a capital-intensive and high competence human capital reality? Journal of Business Research, 155(A), 113376.
  • Chaklader, B., Gupta, B. B., & Panigrahi, P. K. (2023). Analyzing the progress of FINTECH-companies and their integration with new technologies for innovation and entrepreneurship. Journal of Business Research, 161, 113847.
  • Chen, S., & Guo, Q. (2023). Fintech, strategic incentives and investment to human capital, and MSEs innovation. North American Journal of Economics and Finance, 68, 101963.
  • Chen, W., Wu, W., & Zhang, T. (2023). Fintech development, firm digitalization, and bank loan pricing. Journal of Behavioral and Experimental Finance, 39, 100838.
  • Cheng, A. (2023). Evaluating Fintech industry’s risks: A preliminary analysis based on CRISP-DM framework. Finance Research Letters, 55(B), 103966.
  • Cheng, M., & Qu, Y. (2023). Does operational risk management benefit from FinTech? Emerging Markets Finance and Trade. Advance online publication.
  • Dong, X., & Yu, M. (2023). Does FinTech development facilitate firms’ innovation? Evidence from China. International Review of Financial Analysis, 89, 102805.
  • Durana, P., Musova, Z., & Cuțitoi, A.-C. (2022). Digital twin modeling and spatial awareness tools, acoustic environment recognition and visual tracking algorithms, and deep neural network and vision sensing technologies in blockchain-based virtual worlds. Analysis and Metaphysics, 21, 261–277.
  • Gajanova, L., Nadanyiova, M., & Lăzăroiu, G. (2020). Specifics in brand value sources of customers in the banking industry from the psychographic point of view. Central European Business Review, 9(2), 1‒18.
  • Gonçalves, A. R., Breda Meira, A., Shuqair, S., & Costa Pinto, D. (2023). Artificial intelligence (AI) in FinTech decisions: The role of congruity and rejection sensitivity. International Journal of Bank Marketing. Advance online publication.
  • Grupac, M., Husakova, K., & Balica, R.-Ș. (2022). Virtual navigation and augmented reality shopping tools, immersive and cognitive technologies, and image processing computational and object tracking algorithms in the metaverse commerce. Analysis and Metaphysics, 21, 210–226.
  • Guang-Wen, Z., & Siddik, A. B. (2023). The effect of Fintech adoption on green finance and environmental performance of banking institutions during the COVID-19 pandemic: The role of green innovation. Environmental Science and Pollution Research, 30, 25959–25971.
  • Guo, J., Fang, H., Liu, X., Wang, C., & Wang, Y. (2023). FinTech and financing constraints of enterprises: Evidence from China. Journal of International Financial Markets, Institutions and Money, 82, 101713.
  • Guo, P., & Zhang, C. (2023). The impact of bank FinTech on liquidity creation: Evidence from China. Research in International Business and Finance, 64, 101858.
  • Ha, L. T. (2023). Dynamic connectedness between FinTech innovation and energy volatility during the war in time of pandemic. Environmental Science and Pollution Research, 30, 83530–83544.
  • He, C., Geng, X., Tan, C., & Guo, R. (2023). Fintech and corporate debt default risk: Influencing mechanisms and heterogeneity. Journal of Business Research, 164, 113923.
  • Ionescu, L. (2021). Big data analytics tools and machine learning algorithms in cloud-based accounting information systems. Analysis and Metaphysics, 20, 102–115.
  • Ionescu, L. (2022). Big data processing techniques and algorithmic decision-making tools in cloud-based accounting information systems. Review of Contemporary Philosophy, 21, 256–271.
  • Jareño, F., & Yousaf, I. (2023). Artificial intelligence-based tokens: Fresh evidence of connectedness with artificial intelligence-based equities. International Review of Financial Analysis, 89, 102826.
  • Kazachenok, O. P., Stankevich, G. V., Chubaeva, N. N., & Tyurina, Y. G. (2023). Economic and legal approaches to the humanization of FinTech in the economy of artificial intelligence through the integration of blockchain into ESG Finance. Humanities and Social Sciences Communications, 10, 167.
  • Konhäusner, P., Cabrera, M., & Dabija, D. C. (2021). Monetary incentivization of crowds by platforms. Inftars – Informacios Tarsadalom, 21(2), 97‒118.
  • Kovacova, M., Horak, J., & Higgins, M. (2022). Behavioral analytics, immersive technologies, and machine vision algorithms in the Web3-powered metaverse world. Linguistic and Philosophical Investigations, 21, 57–72.
  • Krizanova, A., Lăzăroiu, G., Gajanova, L., Kliestikova, J., Nadanyiova, M., & Moravcikova, D. (2019). The effectiveness of marketing communication and importance of its evaluation in an online environment. Sustainability, 11, 7016.
  • Lăzăroiu, G., Ionescu, L., Andronie, M., & Dijmărescu, I. (2020a). Sustainability management and performance in the urban corporate economy: A systematic literature review. Sustainability, 12, 7705.
  • Lăzăroiu, G., Ionescu, L., Uță, C., Hurloiu, I., Andronie, M., & Dijmărescu, I. (2020b). Environmentally responsible behavior and sustainability policy adoption in green public procurement. Sustainability, 12, 2110.
  • Lăzăroiu, G., Pera, A., Ștefănescu-Mihăilă, R. O., Mircică, N., & Negurită, O. (2017). Can neuroscience assist us in constructing better patterns of economic decision-making? Frontiers in Behavioral Neuroscience, 11, 00188.
  • Lisha, L., Mousa, S., Arnone, G., Muda, I., Huerta-Soto, R., & Shiming, Z. (2023). Natural resources, green innovation, fintech, and sustainability: A fresh insight from BRICS. Resources Policy, 80, 103119.
  • Mahmud, K., Joarder, M. M. A., & Sakib, K. (2023). Customer Fintech Readiness (CFR): Assessing customer readiness for fintech in Bangladesh. Journal of Open Innovation: Technology, Market, and Complexity, 9(2), 100032.
  • Mikhaylov, A., Dinçer, H., & Yüksel, S. (2023). Analysis of financial development and open innovation oriented fintech potential for emerging economies using an integrated decision-making approach of MF-X-DMA and golden cut bipolar q-ROFSs. Financial Innovation, 9, 4.
  • Mirza, N., Umar, M., Afzal, A., & Firdousi, S. F. (2023). The role of fintech in promoting green finance, and profitability: Evidence from the banking sector in the euro zone. Economic Analysis and Policy, 78, 33–40.
  • Nagy, M., & Lăzăroiu, G. (2022). Computer vision algorithms, remote sensing data fusion techniques, and mapping and navigation tools in the Industry 4.0-based Slovak automotive sector. Mathematics, 10, 3543.
  • Nagy, M., Lăzăroiu, G., & Valaskova, K. (2023). Machine intelligence and autonomous robotic technologies in the corporate context of SMEs: Deep learning and virtual simulation algorithms, cyber-physical production networks, and Industry 4.0-based manufacturing systems. Applied Sciences, 13, 1681.
  • Nica, E., Poliak, M., Popescu, G. H., & Pârvu, I.-A. (2022). Decision intelligence and modeling, multisensory customer experiences, and socially interconnected virtual services across the metaverse ecosystem. Linguistic and Philosophical Investigations, 21, 137–153.
  • Pelău, C., Dabija, D. C., & Ene, I. (2021). What makes an AI device human-like? The role of interaction quality, empathy and perceived psychological anthropomorphic characteristics on the acceptance of artificial intelligence in the service industry. Computers in Human Behaviour, 122, 106855.
  • Peters, M. A., Jackson, L., Papastephanou, M., Jandrić, P., Lăzăroiu, G., Evers, C. W., Cope,C., Kalantzis, M., Araya, D., Tesar, M., Mika, C., Chen, L., Wang, C., Sturm, S., Rider, R., & Fuller, S. (2023). AI and the future of humanity: ChatGPT-4, philosophy and education – Critical responses. Educational Philosophy and Theory. Advance online publication.
  • Pop, R. A., Dabija, D. C., Pelau, C., & Dinu, V. (2022). Usage intentions, attitudes, and behaviours towards energy-efficient applications during the COVID-19 pandemic. Journal of Business Economics and Management, 23(3), 668‒689.
  • Rafiuddin, A., Gaytan, J. C. T., Mohnot, R., Sisodia, G. S., & Ahmed, G. (2023). Growth evaluation of fintech connectedness with innovative thematic indices – An evidence through wavelet analysis. Journal of Open Innovation: Technology, Market, and Complexity, 9(2), 100023.
  • Rjoub, H., Adebayo, T. S., & Kirikkaleli, D. (2023). Blockchain technology-based FinTech banking sector involvement using adaptive neuro-fuzzy-based K-nearest neighbors algorithm. Financial Innovation, 9, 65.
  • Rowland, Z., Lăzăroiu, G., & Podhorská, I. (2021). Use of neural networks to accommodate seasonal fluctuations when equalizing time series for the CZK/RMB exchange rate. Risks, 9, 1.
  • Sharma, S. K., Ilavarasan, P. V., & Karanasios, S. (2023b). Small businesses and FinTech: a systematic review and future directions. Electronic Commerce Research. Advance online publication.
  • Sharma, S., Aggarwal, V., Dixit, N., & Yadav, M. P. (2023a). Time and frequency connectedness among emerging markets and QGREEN, FinTech and artificial intelligence-based index: Lessons from the outbreak of COVID-19. Vision. Advance online publication.
  • Su, F., & Xu, C. (2023). Curbing credit corruption in China: The role of FinTech. Journal of Innovation & Knowledge, 8(1), 100292.
  • Sun, R., & Zhang, B. (2023). Can fintech make corporate investments more efficient? A study on financing constraints and agency conflicts. Economic Research-Ekonomska Istraživanja, 36(3), 2185795.
  • Sun, Y., Li, S., & Wang, R. (2023). Fintech: From budding to explosion – An overview of the current state of research. Review of Managerial Science, 17, 715–755.
  • Tan, Z., Wang, H., & Hong, Y. (2023). Does bank FinTech improve corporate innovation? Finance Research Letters, 55(A), 103830.
  • Thomas, N. M., Mendiratta, P., & Kashiramka, S. (2023). FinTech credit: Uncovering knowledge base, intellectual structure and research front. International Journal of Bank Marketing. Advance online publication.
  • Valaskova, K., Horak, J., & Bratu, S. (2022). Simulation modeling and image recognition tools, spatial computing technology, and behavioral predictive analytics in the metaverse economy. Review of Contemporary Philosophy, 21, 239–255.
  • Yang, X., Yang, J., Hou, Y., Li, S., & Sun, S. (2023). Gamification of mobile wallet as an unconventional innovation for promoting Fintech: An fsQCA approach. Journal of Business Research, 155(A), 113406.
  • Zauskova, A., Miklencicova, R., & Popescu, G. H. (2022). Visual imagery and geospatial mapping tools, virtual simulation algorithms, and deep learning-based sensing technologies in the metaverse interactive environment. Review of Contemporary Philosophy, 21, 122–137.
  • Zhang, Y., Ye, S., Liu, J., & Du, L. (2023). Impact of the development of FinTech by commercial banks on bank credit risk. Finance Research Letters, 55(A), 103857.
  • Zvarikova, K., Frajtova Michalikova, K., & Rowland, M. (2022a). Retail data measurement tools, cognitive artificial intelligence algorithms, and metaverse live shopping analytics in immersive hyper-connected virtual spaces. Linguistic and Philosophical Investigations, 21, 9–24.
  • Zvarikova, K., Machova, V., & Nica, E. (2022b). Cognitive artificial intelligence algorithms, movement and behavior tracking tools, and customer identification technology in the metaverse commerce. Review of Contemporary Philosophy, 21, 171–187.

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
19901187

YADDA identifier

bwmeta1.element.ojs-doi-10_24136_oc_2023_021
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