STEM and new fintech ventures DOI
Luca Farè, Michele Meoli, Silvio Vismara

и другие.

European Journal of Finance, Год журнала: 2024, Номер unknown, С. 1 - 17

Опубликована: Ноя. 26, 2024

This paper connects Science, Technology, Engineering, and Mathematics (STEM) to the establishment of new fintech ventures (NFVs). Leveraging a longitudinal dataset covering 149 countries over 2005–2022 period, we provide pioneering evidence that STEM is linked formation. NFVs are more frequently established in with higher fraction graduates. We unpack its two components, finance technology, document connection between formation less pronounced traditional information technology.

Язык: Английский

Digital finance and enterprise financing constraints: Structural characteristics and mechanism identification DOI
Chengming Li, Yilin Wang,

Zhihan Zhou

и другие.

Journal of Business Research, Год журнала: 2023, Номер 165, С. 114074 - 114074

Опубликована: Июнь 3, 2023

Язык: Английский

Процитировано

124

Artificial intelligence algorithms and cloud computing technologies in blockchain-based fintech management DOI Creative Commons
George Lăzăroiu,

Mădălina Bogdan,

Marinela Geamănu

и другие.

Oeconomia Copernicana, Год журнала: 2023, Номер 14(3), С. 707 - 730

Опубликована: Сен. 30, 2023

Research background: Fintech development shapes corporate investment efficiency and economic growth with innovative tools, can decrease financing constraints of enterprises, enabling direct indirect furthering inter-bank competition. Crowdfunding- blockchain-based fintech operations harness deep maching learning algorithms, augmented virtual reality technologies, big data analytics in mobile payment transactions. Purpose the article: We show that fintechs have reconfigured financial service delivery by harnessing AI-based data-driven algorithms cloud blockchain technologies. optimizes organization services, structures growth, analysis, digital banking performance. Machine streamline operation capabilities process promptness, ensuring smooth operational flows, assessing risks, detecting frauds money laundering historical customer behavior analysis across instant networks infrastructures. Methods: Quality tools: AXIS, Eppi-Reviewer, PICO Portal, SRDR. Search period: July 2023. terms: “fintech” + “artificial intelligence algorithms”, “cloud computing technologies”, “blockchain technologies”. Selected sources: 40 out 195. Published research inspected: Data visualization Dimensions VOSviewer. Reporting quality assessment tool: PRISMA. Findings & value added: enables organizational innovation mitigating information asymmetry limitations while providing assistance tax incentives relation to products services. The has influenced dynamic intermediary function institutions terms sustainability development. natural resources negatively influence, green innovations further, environmental sustainability.

Язык: Английский

Процитировано

65

ESG and FinTech: Are they connected? DOI Creative Commons
Graziana Galeone, Simona Ranaldo, Antonio Fusco

и другие.

Research in International Business and Finance, Год журнала: 2024, Номер 69, С. 102225 - 102225

Опубликована: Янв. 17, 2024

Due to the growing focus of institutional investors on sustainability, investment decisions in financial sector are increasingly focused environmental, social and governance (ESG) aspects. In this scenario, together with technological progress, sustainable finance, unlike traditional directs capital towards operations that generate positive impacts for environment society. FinTech, considered an accelerator economic growth, is part innovations related finance. Through analysis exploratory case study international importance, represented by bank BNP Paribas, article uses unified theory acceptance use technology (UTAUT) investigate factors influence innovation banking sector. The results show influence, reinforced ESG factors, a variable encourages adoption Collaborations FinTech companies support banks achieving sustainability objectives more efficiently. This makes important contribution academic literature. It expands knowledge determinants diffusion analysing effect not previous also presents practical implications policy makers. appropriate plan training activities managers employees promote understanding these subjects facilitate better institutionalization practices.

Язык: Английский

Процитировано

20

ESG and FinTech funding in the EU DOI
Anastasia Giakoumelou, Antonio Salvi, Stelios Bekiros

и другие.

Research in International Business and Finance, Год журнала: 2024, Номер 69, С. 102233 - 102233

Опубликована: Янв. 21, 2024

Язык: Английский

Процитировано

20

Economic and legal approaches to the humanization of FinTech in the economy of artificial intelligence through the integration of blockchain into ESG Finance DOI Creative Commons
Olesya P. Kazachenok, Galina V. Stankevich, Natalia N. Chubaeva

и другие.

Humanities and Social Sciences Communications, Год журнала: 2023, Номер 10(1)

Опубликована: Апрель 14, 2023

Abstract The purpose of the article is to study current experience and prospects humanization FinTech in economy artificial intelligence. research methodology based on use method structural equation modeling (SEM). analyzes statistics for 2021–2022 (annual indicators). sample included 118 countries. As a result, modern international intelligence has been studied causal relationships through integration blockchain into ESG finance have identified. proposes an economic legal approach by integrating ascertain political implications. contributes literature clarifying scientific provisions concept economy. theoretical significance obtained results that developed model (SEM) detailed regression equations formed comprehensive understanding patterns FinTech. resulting econometric can be used predict development blockchain-based finance, as well high-precision planning state policy. practical authors’ conclusions recommendations they clear idea barriers (“market failures” “institutional traps”) (improvement institutional environment application approach) finance.

Язык: Английский

Процитировано

27

Safeguarding FinTech innovations with machine learning: Comparative assessment of various approaches DOI
Nawazish Mirza, Mohamed Elhoseny, Muhammad Umar

и другие.

Research in International Business and Finance, Год журнала: 2023, Номер 66, С. 102009 - 102009

Опубликована: Май 31, 2023

Язык: Английский

Процитировано

25

Digital finance and regional economic resilience: Evidence from 283 cities in China DOI Creative Commons

Shiying Hou,

Yining Zhang, Liangrong Song

и другие.

Heliyon, Год журнала: 2023, Номер 9(10), С. e21086 - e21086

Опубликована: Окт. 1, 2023

Digital technology provided a new driver for the rapid recovery of global economy in post-COVID-19 era. This study examined how digital financing affected regional economic resilience. First, this constructs multidimensional resilience evaluation system and measures levels 283 Chinese cities 2012-2021-using entropy value method. Then, panel data, mediation effect, threshold effect models were constructed to empirically test impact mechanism finance (DF) on The results show that DF improves resilience, which is more evident central western cities. Capital allocation efficiency, innovation, consumption are effective paths, whereas affects by enhancing capital strengthening innovation capacity, promoting resident consumption. It worth noting excessive financialization can mask role DF. These conclusions provide evidence clarifying

Язык: Английский

Процитировано

23

Fintech and financial stability: Evidence from spatial analysis for 25 countries DOI Creative Commons

Barbara Koranteng,

Kefei You

Journal of International Financial Markets Institutions and Money, Год журнала: 2024, Номер 93, С. 102002 - 102002

Опубликована: Май 8, 2024

Fintech has experienced rapid advances in recent years. This study examines the impact of on financial stability for a group 25 countries during 2013–2020. We adopt novel Fintech-enabled financing volume to directly measure development. utilise both aggregate and disaggregated level financing; latter includes crowdfunding, business lending consumer lending, each different funding process default rates. account spatial dependence across by employing various models. Our findings first reveal that there is positive countries. It implies spillover neighbouring validates necessity analysis. Second, based Spatial Durbin Model which best describes our data, makes local cross-border contribution towards stability, irrespective alternative weight matrices sample sizes. Such more profound with smaller sizes volume, effect stronger closer geographic proximity. Finally, crowdfunding enhances whilst contrasting destabilising effect.

Язык: Английский

Процитировано

9

Does digital transformation improve the cost efficiency of commercial banks? Evidence from China DOI
Chuang Shen, Junyi Wu, Yinghong Li

и другие.

Finance research letters, Год журнала: 2024, Номер unknown, С. 106619 - 106619

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

9

The intersection of finTech adoption, HR competency potential, service innovation, and firm growth in the banking sectors using Entropy and TOPSIS DOI Creative Commons
Habib Ullah Khan, Muhammad Zahid Abbas, Shah Nazir

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(1), С. e0313210 - e0313210

Опубликована: Янв. 14, 2025

The adoption of Financial Technology (FinTech), along with the enhancement Human Resource (HR) competencies, service innovation, and firm growth, plays a crucial role in development banking sector. Despite their importance, obtaining reliable results is often challenging due to complex, high-dimensional correlations among various features that affect industry. To address this issue, research introduces hybrid Multi-Criteria Decision-Making (MCDM) model integrates Entropy-Weighted Method (EWM) Technique for Order Preference by Similarity Ideal Solution (TOPSIS). primary objective study systematically evaluate rank multiple alternatives based on key criteria using EWM-TOPSIS approaches. Specifically, analysis considers eleven multifaceted characteristics eight potential (A1 A8), revealing significant influence proposed MCDM approaches assessing FinTech adoption, HR competency, growth. findings underscore effectiveness entropy-TOPSIS providing structured smarter well-informed decision-making. Ultimately, proposes best alternative from evaluated options, contributing valuable insights into future FinTech, growth within

Язык: Английский

Процитировано

1