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Fintech Innovation Adoption
Research Guide

What is Fintech Innovation Adoption?

Fintech Innovation Adoption examines the drivers, barriers, and diffusion patterns of fintech solutions such as mobile payments and robo-advisors among consumers and firms using diffusion models and survey-based structural equation modeling.

Researchers analyze how external shocks like COVID-19 accelerate fintech uptake in insurance and banking (Volosovych et al., 2021, 68 citations). Studies classify financial innovations and model their introduction in financial institutions (Popelo et al., 2021, 30 citations). Recent works explore virtual banking strategies and blockchain integration in digital financial spaces (Thetlek et al., 2024, 8 citations; Domashenko et al., 2023, 3 citations).

Curated Papers

Key Challenges

Why It Matters

Fintech adoption drives financial inclusion by enabling cashless payments and digital-only banks, reshaping consumer habits in traditional markets (Thetlek et al., 2024). Pandemics catalyze insurance technology transformations, highlighting inefficiencies in legacy models and spurring innovations (Volosovych et al., 2021). Blockchain and fintech enhance governance in digitalized financial sectors, supporting industrial companies' competitiveness (Domashenko et al., 2023; Dmytryk et al., 2022). Understanding these patterns informs policy for tax digitalization and challenger banks in EU markets (Lagodiіenko & Yakushko, 2021; Polasik et al., 2021).

Key Research Challenges

Modeling Adoption Barriers

Identifying precise barriers to fintech diffusion remains difficult amid varying regulatory environments and consumer trust issues. Surveys reveal inefficiencies in traditional models exposed by crises (Volosovych et al., 2021). Structural equation modeling struggles with heterogeneous firm adoption (Popelo et al., 2021).

Regulatory Framework Gaps

Developing legal support for digital financial innovations lags behind technological advances. Papers highlight needs for updated governance in tax and fiscal digitalization (Dmytryk et al., 2022; Lagodiіenko & Yakushko, 2021). EU challenger banks face internal market harmonization challenges (Polasik et al., 2021).

Quantifying Pandemic Impacts

Isolating COVID-19 effects on fintech acceleration from pre-existing trends requires robust causal models. Insurance sector studies note catalytic roles but lack longitudinal data (Volosovych et al., 2021). Global financial market analyses point to unpredictable technological influences (Kolinets, 2023).

Essential Papers

Transformation of insurance technologies in the context of a pandemic

Svitlana Volosovych, Iryna Zelenitsa, Diana Kondratenko et al. · 2021 · Insurance Markets and Companies · 68 citations

The COVID-19 pandemic has affected different sectors of the economy, including insurance, and has become a problem and a clear catalyst for innovation. The pandemic has highlighted some inefficienc...

WORLD EXPERIENCE IN THE INTRODUCTION OF MODERN INNOVATION AND INFORMATION TECHNOLOGIES IN THE FUNCTIONING OF FINANCIAL INSTITUTIONS

Olha Popelo, Maksym Dubyna, Наталія Холявко · 2021 · Baltic Journal of Economic Studies · 30 citations

The article reveals the essence of the concept of “financial innovations” and their features. The classification of financial innovations is given. The innovative models of the Ukrainian banking bu...

International Financial Markets of the Future: Technological Innovations and Their Impact on the Global Financial System

Lesya Kolinets · 2023 · Futurity of Social Sciences. · 16 citations

Today, international financial markets are becoming not only catalysts for global economic growth but also a spectrum of unpredictable challenges and opportunities. The presence of technological re...

DEVELOPMENT OF THE TAXATION SYSTEM IN THE CONDITIONS OF DIGITAL TRANSFORMATION OF THE NATIONAL ECONOMY

Nataliіa Lagodiіenko, Іnnа Yakushko · 2021 · Financial and credit activity problems of theory and practice · 8 citations

Abstract. Creating an effective tax system in the country is one of the most important conditions for ensuring its competitiveness. Today, there is a process of active tax competition between state...

The strategy of virtual banking adoption in the digital economy

Ruangchan Thetlek, Tanpat Kraiwanit, Pongsakorn Limna et al. · 2024 · Corporate and Business Strategy Review · 8 citations

Most traditional banks offer digital services, promoting cashless payments. Digital-only banks, operating solely through mobile apps, are a growing trend. These virtual banks have no physical branc...

Improving the governance and legal framework for implementing financial and fiscal innovation in a digitalized environment

Olga Dmytryk, Dmytro Kobylnik, Олена Середа et al. · 2022 · Eastern-European Journal of Enterprise Technologies · 7 citations

This paper considers the organizational and legal support of the processes of digitalization of innovation in the financial and tax sectors. The main prerequisites were identified, and the role of ...

Blockchain and fintech technologies in the digital space of financial and industrial companies

Світлана Домашенко, Svitlana Hres-Yevreinova, Yurii Zadoia et al. · 2023 · Sustainable Engineering and Innovation ISSN 2712-0562 · 3 citations

The relevance of the article lies in examining the functional relationship between blockchain and fintech technologies in the innovative digital space of financial and industrial companies. The res...

Reading Guide

Foundational Papers

No pre-2015 foundational papers available; start with highest-cited recent work Volosovych et al. (2021, 68 citations) for pandemic-driven adoption baselines.

Recent Advances

Prioritize Thetlek et al. (2024) on virtual banking strategies and Domashenko et al. (2023) on blockchain fintech for latest diffusion insights.

Core Methods

Core techniques: diffusion models, structural equation modeling from surveys, innovation classification (Popelo et al., 2021; Volosovych et al., 2021).

How PapersFlow Helps You Research Fintech Innovation Adoption

Discover & Search

PapersFlow's Research Agent uses searchPapers and exaSearch to find high-citation works like 'Transformation of insurance technologies in the context of a pandemic' (Volosovych et al., 2021, 68 citations), then citationGraph reveals diffusion patterns across 250M+ OpenAlex papers, while findSimilarPapers uncovers related virtual banking studies (Thetlek et al., 2024).

Analyze & Verify

Analysis Agent applies readPaperContent to extract adoption models from Popelo et al. (2021), verifies claims with CoVe chain-of-verification, and runs PythonAnalysis on survey data for structural equation modeling stats using pandas/NumPy, with GRADE grading for evidence strength in barrier identification.

Synthesize & Write

Synthesis Agent detects gaps in regulatory frameworks across Dmytryk et al. (2022) and Polasik et al. (2021), flags contradictions in pandemic impacts, while Writing Agent uses latexEditText, latexSyncCitations, and latexCompile to produce adoption model reports with exportMermaid for diffusion diagrams.

Use Cases

"Analyze survey data from fintech adoption papers for statistical barriers using Python."

Research Agent → searchPapers('fintech adoption surveys') → Analysis Agent → readPaperContent(Volosovych 2021) → runPythonAnalysis(pandas regression on extracted data) → researcher gets CSV of barrier coefficients and matplotlib barrier plots.

"Write a LaTeX review on virtual banking strategies with citations."

Research Agent → findSimilarPapers(Thetlek 2024) → Synthesis Agent → gap detection → Writing Agent → latexEditText('draft review') → latexSyncCitations → latexCompile → researcher gets compiled PDF with synced refs and figures.

"Find GitHub repos linked to blockchain fintech code from papers."

Research Agent → searchPapers('blockchain fintech') → Code Discovery → paperExtractUrls(Domashenko 2023) → paperFindGithubRepo → githubRepoInspect → researcher gets repo code summaries, adoption scripts, and exportBibtex.

Automated Workflows

Deep Research workflow conducts systematic reviews of 50+ adoption papers, chaining searchPapers → citationGraph → GRADE grading for structured reports on drivers/barriers. DeepScan's 7-step analysis with CoVe checkpoints verifies pandemic impacts in Volosovych et al. (2021) against similar works. Theorizer generates diffusion theories from Popelo et al. (2021) models, exporting Mermaid diagrams.

Try Doxa for Fintech Innovation Adoption Research

Frequently Asked Questions

What defines Fintech Innovation Adoption?

It studies drivers, barriers, and diffusion of fintech like mobile payments using diffusion models and structural equation modeling (Popelo et al., 2021).

What methods dominate research?

Survey-based structural equation modeling and innovation classification analyze adoption patterns (Volosovych et al., 2021; Thetlek et al., 2024).

What are key papers?

Top cited: Volosovych et al. (2021, 68 citations) on insurance tech; Popelo et al. (2021, 30 citations) on financial innovations; Kolinets (2023, 16 citations) on market impacts.

What open problems exist?

Challenges include causal isolation of shocks like COVID-19, regulatory harmonization for challenger banks, and longitudinal data for blockchain diffusion (Dmytryk et al., 2022; Polasik et al., 2021).