Digital finance in the era of digital transformation: a bibliometric analysis and systematic literature review

In recent years, digital finance has emerged as a transformative force in the financial sector, reshaping the way individuals and businesses manage money, make payments and access financial services. Unlike traditional finance, digital finance represents an advanced form that seamlessly blends and integrates financial and technological innovations (Ozili, 2018; Yin & Yang, 2024; Zou, Liu, Wang, & Yang, 2023). As the global economy enters the digital era, digital finance is experiencing significant growth, gradually subverting and replacing financial models (Gomber, Koch, & Siering, 2017; Yin & Yang, 2024).

Digital finance encompasses financial technology, digital payment systems and digital financial products, including digital derivatives, digital securities, digital carbon credits, digital currencies and various digital versions of conventional financial products (Digital Finance Institute, 2015). It also includes a wide range of services, including mobile banking, digital wallets, peer-to-peer lending and blockchain-based transactions. A report by the National Payment Corporation of India (NPCI) in 2023 states that India is the third-largest global ecosystem in active fintech usage, with a notable increase in the Unified Payments Interface (UPI) from Rs. 8.8 trillion in 2018–19 to Rs. 139.2 trillion in 2022–23 demonstrates the tremendous growth of digital finance in India (CIBIL, 2023). Moreover, the upward trajectory is expected to continue, as the FinTech industry is projected to expand at a compound annual growth rate (CAGR) of 16.5% from 2024 to 2032, underscoring the sustained momentum in digital financial innovation (Fintech Industry Report, 2024). Consequently, understanding the dynamics, benefits and challenges of digital finance is crucial for harnessing its full potential and ensuring sustainable growth.

The digital finance era offers several advantages. Firstly, this digital revolution is improving the efficiency and convenience of financial transactions and expanding financial inclusion by reaching underserved populations (Afjal, 2023). Secondly, it helps reduce costs by automating processes, reduces the need for physical infrastructure and effectively mitigates the financing challenges faced by enterprises (Li, Wang, Zhou, Wang, & Mardani, 2023). Moreover, digital finance enhances the financial system’s resilience and strengthens financial stability by competing with traditional financial institutions. Thirdly, digital finance introduces innovative solutions to financial business models, aligning with the fast-paced lifestyle of modern society. Robo-advisors, digital wallets, digital currencies, digital payments, digital financial services, digital insurance and digital investments are becoming increasingly prevalent and widely adopted, showing that payment systems are becoming contactless and people are going cashless.

The exponential growth in digital finance research, particularly in the aftermath of the COVID-19 pandemic, reflects its pivotal role in redefining financial systems through technological integration. As digital finance intersects with innovations such as blockchain, AI and quantum computing, a diverse and rapidly expanding body of literature has emerged across disciplines (Ahmed, Alshater, El Ammari, & Hammami, 2022). Despite extensive exploration in existing studies, digital finance lacks a unified and comprehensive review. Existing research focuses on narrow themes, offering a limited understanding of its broader development (Tan, Cheng, & Liu, 2024; Zou et al., 2023). Thottoli, Islam, Yusof, Hassan, and Hassan (2023) examined digital transformation in financial services using co-citation and conceptual structure analysis, offering insights up to 2021 and further suggested a systematic literature review to advance future research. While Gomber et al. (2017) introduced the Digital Finance Cube, integrating business functions, institutions and technologies, their study primarily focused on conceptual development and can further be enriched with bibliometric insights. Other studies, such as Zou et al. (2023), equate digital finance with fintech and use bibliometric analysis to explore their overlap. Similarly, Afjal (2023) highlighted the role of digital financial services in sustainable development, while Brika (2022) examined 343 articles, emphasizing fintech’s dominance within digital finance research.

Further, Chawla and Goyal (2022) examined emerging trends in digital transformation across the business and management domain using Web of Science data and identified the opportunities for the financial sector’s intricacies and incorporation of bibliographic coupling or co-authorship dimensions. Similarly, Osei, Cherkasova, and Oware (2023) focused exclusively on digital banking transformation (DBT) and its evolution using bibliometric mapping, but restricted their investigation to banking platforms and institutional performance. However, this surge in academic output has led to fragmentation and thematic dispersion, making it difficult to trace the conceptual landscape, foundational contributions and emerging research directions coherently. While prior reviews have examined specific applications or sectors within digital finance and transformation, there remains a lack of comprehensive and integrative studies that trace the evolution of digital finance in the era of digital transformation. This study addresses the gap by employing bibliometric and network analysis to uncover the intellectual structure of the domains.

The rapidly evolving nature of digital finance necessitates a comprehensive bibliometric investigation to identify key trends, research gaps and emerging themes. Bibliometric analysis offers a robust and objective framework to identify influential authors, affiliations, highly-cited documents, research clusters and collaborative networks, enabling a deeper understanding of historical progression and demonstrating underexplored areas and future research opportunities (Saha, Mani, & Goyal, 2020).

Hence, the following research questions have been formulated for the proposed bibliometric analysis:

To address the above-mentioned research questions, the study used the RStudio bibliometrix package for thorough performance analysis and VOSviewer software for data visualization and science mapping analysis (Aria & Cuccurullo, 2017). Hence, this study contributes to the literature by addressing these gaps and outlining directions for future research. First, by examining digital finance publications from 2005 to 2024 within the Scopus database, this paper identifies trends, thematic evolution and influential journals, enabling researchers to engage with primary contributors in the field. Second, co-citation and bibliographic coupling analyses are utilized to uncover emerging themes and niche areas, offering insights into essential Triggers, Barriers, Facilitators and Outcomes (TBFO). Third, the study highlights underexplored areas in the literature and suggests future research avenues. Finally, this study categorizes key publications and concepts, equipping researchers and practitioners with a structured understanding of the factors shaping this evolving field.

This article is divided into the following sections: Section 2 presents the literature review. Section 3 describes the research methodology, covering the bibliometric analysis software and the sample selection process. Section 4 presents the performance analysis and science mapping, followed by a discussion and implications in Section 5. The conclusions, recommendations and limitations are given in the last section.

Digital finance has significantly transformed the financial landscape, evolving from basic digitized banking services to sophisticated financial ecosystems. Its development began in the 1980s with the introduction of automated teller machines (ATMs) and electronic funds transfers (EFTs), marking the initial phase of digitizing financial transactions (Puschmann, 2017). The 1990s witnessed the emergence of online banking and e-commerce, facilitated by the widespread adoption of the Internet, further expanding access to financial services (Chen & Zhang, 2021; Jain & Raman, 2022). With the advent of smartphones and mobile networks, digital finance has shifted toward user-centric solutions, including mobile banking, peer-to-peer payment systems and innovative fintech platforms (Gomber et al., 2017; Zou et al., 2023).

The integration of advanced technologies such as blockchain, artificial intelligence (AI) and big data analytics has accelerated this evolution, fostering the creation of novel financial products and enhancing service efficiency by ultimately redefining the user experience (Demirgüç-Kunt, Klapper, Singer, & Ansar, 2022; Larios-Hernández, 2017). Central bank-driven initiatives have emerged as a parallel force in digital finance innovation. The Bank for International Settlements (BIS) and the Committee on Payments and Market Infrastructures (CPMI) document that central banks are exploring Central Bank Digital Currencies (CBDCs) to enhance payment efficiency, promote cross-border interoperability and improve systemic resilience (Committee on Payments and Market Infrastructure [CPMI], 2024; Financial Stability Board [FSB], 2024). These initiatives are complemented by next-generation payment system innovations, including real-time settlement infrastructures and linked instant payment systems (Aurazo, Banka, Frost, Kosse, & Piveteau, 2024; Patel, 2024). Reslow (2024) further highlights the macro-financial implications of digital money adoption, noting both inclusion gains and emerging stability challenges, particularly for developing economies.

Digital finance includes a wide range of digital products and services across the financial sector, including digital credit, trading platforms, online banking and automated teller machines (ATMs) (Al-Smadi, 2023; Dong & Pan, 2024; Gomber et al., 2017; Hsueh, Jiang, & Zhang, 2024). Digital finance business functions include digital financing, digital investments, digital money, digital payments, digital insurance and digital financial advice (Gomber et al., 2017). Digital finance is a broader term that encompasses fintech, which involves the digitalization of the financial sector and technological advancements in finance (Li, Ye, Liu, Tao, & Jiang, 2024). Women’s Wealth Academy (2022) reported that “digital finance” refers to the financial market’s ongoing digital transformation, where digital finance is a broad term encompassing digital banking. A report by Gartner Finance (2023) states that the utilization of digital finance can provide financial services to marginalized groups in regions that lack the physical infrastructure for such services. In a broad sense, the term “digital finance” denotes the utilization of digital technologies to deliver financial services, facilitate transactions and enhance accessibility and speed.

The core elements of digital finance encompass digital payment systems, fintech applications, blockchain technologies and data-driven solutions (Thakor, 2020). Digital payment systems, such as mobile money platforms, e-wallets and contactless payments, enable seamless financial transactions (Balakrishnan & Shuib, 2021; Khando, Islam, & Gao, 2022). Fintech applications include services like robo-advisors for investment management and crowdfunding platforms that connect entrepreneurs with potential investors (Chaudhary, Dhir, Battisti, & Kliestik, 2022; Shneor & Vik, 2020). Blockchain technology and cryptocurrencies offer secure, decentralized transaction methods, while innovations such as RegTech and InsurTech leverage AI and machine learning to enhance regulatory compliance and fraud detection (Singhal, Goyal, & Singhal, 2024; Tiwari, Kanjolia, Kumar, & Mehra, 2024). Furthermore, big data and AI are crucial in customer profiling, credit scoring and delivering personalized financial services.

A growing body of literature supports the role of digital transformation in reshaping financial services. Chawla and Goyal (2022) emphasize the pivotal role of digital enablers such as AI, cloud computing and big data analytics in transforming business models, offering valuable insights into organizational innovation across diverse industries, with scope for further exploration within the financial services domain. Further, studies have begun to intersect the domains of digital finance and sustainable development, particularly in green manufacturing. For instance, Chang, Zhang, and Liu (2022) conducted a bibliometric analysis that uncovered how digital finance innovations, especially those driven by technologies such as blockchain and AI, are reshaping the sustainability agenda. The study identifies “green digital finance,” “carbon neutrality,” and “financial inclusion” as emerging themes that underscore the potential of digital finance to drive sustainable industrial transitions, which need further extension. Moreover, Osei et al. (2023) affirm that digital transformation is a central pillar of evolving banking ecosystems, with fintech applications, blockchain and digital payment solutions transforming traditional service delivery and customer interaction models in financial institutions. Thottoli et al. (2023) further substantiate the role of digital transformation by identifying key themes in financial services literature, such as automation, digital governance and platform-based service structures. These studies collectively emphasize how digital technologies are enabling operational agility, financial innovation and service personalization within finance. Gao (2023) reinforces this by providing empirical evidence that digital finance not only supports financial access but also strengthens financial transparency over time through ICT diffusion and regulatory alignment.

In parallel with technological advances, evolving regulatory frameworks are shaping the trajectory of digital finance in the digital transformation era. Data protection and competition regulations such as the European Union’s General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA) and the Digital Markets Act (DMA) establish stringent standards for privacy, consent, transparency and fair competition in digital ecosystems. Comparable frameworks have emerged worldwide, including Brazil’s General Data Protection Law (LGPD), Singapore’s Personal Data Protection Act (PDPA), South Africa’s Protection of Personal Information Act (POPIA) and India’s Digital Personal Data Protection Act (DPDPA). These legal instruments influence operational practices across financial institutions and fintech firms, directly affecting user trust and adoption.

Advances in AI and machine learning have enabled fintech lenders to incorporate alternative data, such as online behavior, transaction histories and local economic indicators, into credit scoring models, expanding access for borrowers (Jagtiani & Lemieux, 2019). While these approaches can improve predictive accuracy and broaden inclusion, they also risk embedding algorithmic bias when variables act as proxies for protected attributes. Hurley and Adebayo (2016) caution that opaque model architectures and weak regulatory safeguards can perpetuate discriminatory lending outcomes, calling for enhanced transparency, fairness auditing and alignment with global data protection frameworks such as GDPR, CCPA, DMA and comparable acts in Brazil, Singapore, South Africa and India.

The outcomes of digital finance have been transformative, driving both economic and social progress. Economically, it has enhanced efficiency in financial transactions, reduced operational costs and promoted financial inclusion (Klapper, 2023; Vasishta, Singla, & Deep, 2024; Al-Okaily et al., 2023; Chen & Chen, 2024; Okyere, Atta-Ankomah, & Asante-Addo, 2024) (refer to Appendix 2 for readings) demonstrate its role in enhancing credit access and economic resilience. Socially, digital finance has empowered marginalized communities, particularly in developing regions, by facilitating access to credit and savings through mobile money platforms and reducing financial access disparities, such as gender gaps (Chatterjee, 2024; Ojo, 2024). Additionally, it has supported small businesses in scaling operations and streamlined cross-border remittances (Coakley & Huang, 2023; Lu, Wu, Li, & Nguyen, 2022; Lyu, Gu, & Zhang, 2023). Barroso and Laborda (2022) further underscore that the transformative power of digital finance stems not only from technological advancements like AI and blockchain but also from its structural impact on the financial industry, particularly in driving innovation, redefining customer experience and highlighting the need for improved regulatory frameworks and collaboration between banks and FinTech. Despite its benefits, digital finance faces challenges related to cybersecurity, data privacy and regulatory compliance, necessitating balanced strategies to ensure equitable access while mitigating potential risks. Understanding its evolution, core components and outcomes is essential for harnessing its potential to drive inclusive and sustainable economic growth. This literature review employs a conceptual structure that explores the evolution, components, outcomes and bibliometric positioning of digital finance studies. This review aligns these findings with bibliometric insights, revealing underexplored areas and proposing future research agendas. Table 1 provides a summary of prior review studies in this domain.

Bibliometric analysis categorizes studies, assesses research outcomes and examines publication patterns, citation impact, collaboration networks and contributions of authors, institutions and countries (Aria & Cuccurullo, 2017; Chang et al., 2022). Following Noyons, Moed, and Luwel (1999), the structure is divided into performance analysis and science mapping. Performance analysis evaluates publication timelines, journal and author productivity and the impact of cited works (Donthu, Kumar, Mukherjee, Pandey, & Lim, 2021). Science mapping visualizes conceptual structures by showing connections between concepts via keyword co-occurrences (Donthu et al., 2021). The Scopus database, known for its extensive scientific literature, was used to select studies (Ferrigno, Del Sarto, Piccaluga, & Baroncelli, 2023). Although Scopus was used as the primary database due to its wide disciplinary coverage and standardized bibliometric metadata, a robustness check was conducted using the Web of Science Core Collection. This cross-verification ensured that key high-impact studies were included and confirmed the thematic alignment of major contributions across databases (Donthu et al., 2021). Given the strong overlap in relevant literature and Scopus's compatibility with the Bibliometrix and VOSviewer tools, reliance on Scopus provided a methodologically sound foundation for performance and science mapping analysis. Bibliometric analysis was performed using RStudio's bibliometrix package (Biblioshiny interface) and VOSviewer software, enabling systematic categorization and evaluation of research findings.

The following search terms were used “digital finance” OR “e-finance” OR “digitalization in finance” OR “digital finance transformation” OR “digital financ* technolog*” in the title-abs-key to find the research sample from the Scopus database. The wildcard characters * and? Were used in the search strategy to include any plural meanings of these words. The initial search yielded 1,498 documents, narrowed to 1,465 using the “year range” filter (2005–2024) to include relevant literature. Filtering by “subject area” reduced the count to 777, selecting only “Economics, Econometrics and Finance” and “Business, Management, and Accounting.” Limiting to articles and the English language further refined the results to 577. A manual relevance screening was performed to ensure that each included document was peer-reviewed, thematically aligned and academically rigorous. Random subsamples were checked to validate inclusion accuracy, consistent with methodological best practices in bibliometric research. Manual screening of titles and abstracts identified 467 relevant studies for analysis (Petticrew & Roberts, 2008). The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework was employed to ensure transparency, replicability and methodological rigor in the selection and screening of relevant studies, thereby enhancing the credibility and comprehensiveness of the literature synthesis (Sarkis-Onofre, Catalá-López, Aromataris, & Lockwood, 2021). PRISMA is a framework that improves the clarity and reproducibility of systematic reviews. This entire document selection is depicted in Figure 1.

This study utilizes the Bibliometrix package (Biblioshiny interface) in RStudio to extract, organize and visualize research data, facilitating a comprehensive analysis of patterns and trends within the digital finance literature. The dataset encompasses 467 scholarly documents published between 2005 and 2024. The annual publication trend demonstrates that digital finance remained a nascent area of study until 2018, followed by a modest increase in 2019 (Figure 2). A significant publication surge began in 2020, driven by rapid technological advancements, the widespread adoption of digital payment systems, intensified financial inclusion efforts and the impact of the COVID-19 pandemic. This sharp rise reflects not only academic attention but also a global shift in financial behavior, highlighting the need for scalable, inclusive and secure digital finance solutions.

Thematic maps further provide a structured understanding of the field’s conceptual evolution by categorizing research themes into four quadrants based on centrality (relevance to the broader field) and density (level of development) (Figure 3). The classification of motor, niche, emerging and basic themes remained stable across different term frequency thresholds (ranging from 15 to 25 keyword appearances), confirming thematic consistency. In this study, Motor Themes (High Centrality, High Density), such as “panel data,” “carbon,” “carbon emission,” and “emission control,” are critical to the research field, signaling the areas where digital finance intersects with climate policy and ESG strategies. These themes are crucial for government ministries and departments, international policy bodies, carbon market operators and exchanges, sustainability consultants and ESG analysts and Fintech companies and digital finance platforms for designing market-based mechanisms for sustainability, such as carbon trading platforms powered by digital financial technologies (Chen, Arn, Song, & Xie, 2024; Dadabada, 2024).

Niche Themes (Low Centrality, High Density), including “agriculture,” “education numerical model,” and “engineering research,” are specialized and well-developed but lack broader relevance, indicating potential for interdisciplinary exploration. These hold potential for sector-specific innovations, like digital credit scoring for farmers or fintech-supported ed-tech platforms (Rayhan et al., 2024).

Emerging or Declining Themes (Low Centrality, Low Density), like “artificial intelligence,” “blockchain,” and “technology adoption,” represent either nascent research areas or topics losing relevance, providing an opportunity to investigate their future viability and integration into the field. Stakeholders, including fintech startups and regulators, can monitor these themes to anticipate future disruptions or declining interests. Lastly, Basic Themes (High Centrality, Low Density), such as “digital finance,” “financial markets,” and “financial systems,” are foundational but remain underdeveloped, underscoring the need for further theoretical and empirical development. These classifications enable researchers to prioritize key areas, address gaps and guide strategic decision-making in the evolving landscape of digital finance.

The analysis of authorship, presented in Table 2, highlights key contributors to the field. Wang Y and Zhang Y are the most productive authors, with 12 and 11 publications, respectively, while Li X, Wang Z and Yang J follow closely with 9 publications each. In terms of scholarly influence, Wang Y and Li G have the highest h-index (6), indicating not only their prolific output but also the sustained impact of their work. Ozili PK leads in total citations (790), followed by Gomber P, Koch J-A and Siering M with 672 citations, emphasizing their pivotal roles in shaping critical discourse around digital finance, including areas like financial inclusion, fintech innovation and policy challenges. These insights are valuable for identifying intellectual leaders, initiating cross-border research partnerships and aligning regional research priorities with global trends. This authorship analysis thus supports academic networking, enhances visibility for emerging researchers and offers a roadmap for building interdisciplinary and high-impact collaborations that drive innovation in digital finance research.

The analysis of the most-cited documents underscores the foundational influence of specific studies in shaping the trajectory of digital finance research. As shown in Table A1 (See Table A1 in Appendix 1), Ozili (2018) emerges as the most cited paper with 712 citations, followed by Gomber et al. (2017) with 672 citations and Li, Wu, and Xiao (2020) with 398 citations. These studies have not only contributed to the development of core theoretical frameworks and methodological innovations but have also provided practical insights into how digital finance can be leveraged in real-world contexts. Collectively, the top 10 most-cited documents highlight critical themes such as expanding financial inclusion, advancing green finance and driving technological innovation through blockchain and decentralized systems. They also reveal growing researchers’ attention toward improving financial literacy, strengthening regulatory frameworks and building trust in digital platforms. These influential works serve as strategic reference points for researchers and policymakers aiming to develop inclusive, secure and sustainable financial ecosystems.

Figure 4 presents the co-authorship network of countries based on bibliometric data. Out of 74 countries identified, only 24 met the threshold of at least five publications. Sensitivity checks at thresholds of 3 and 7 showed similar cluster patterns, reinforcing the reliability of the collaboration structure. The network emphasizes both the frequency of collaborations and the strategic roles nations play in shaping global digital finance research. Six research clusters were identified through co-authorship linkages, totaling a link strength of 111. The red cluster, led by India (31 publications), highlights strong regional collaboration with Malaysia, Oman, Saudi Arabia, Thailand and the UK, aligned with evolving fintech ecosystems and policy initiatives. The green cluster, led by Germany, includes Australia, Italy and Hong Kong, and reflects an organized and policy-integrated research approach. The blue cluster, led by Pakistan, involves Spain and South Africa, indicating a rise in research engagement from emerging economies. The yellow cluster, focused on China, Japan and Taiwan, is the most prolific, with China contributing 270 publications, emphasizing its central role in digital finance scholarship. The purple and light blue clusters, led by France and the United States, respectively, focus on cross-continental collaborations, including Vietnam and Ghana, suggesting the importance of both North–South and South–South cooperation.

Alongside the dominant clusters, regions such as Africa, Latin America and Southeast Asia have also emerged as important contributors, offering distinctive pathways of innovation. Africa has pioneered mobile money ecosystems that transformed financial inclusion (e.g., M-Pesa in Kenya), Latin America is advancing regulatory experimentation in areas such as open banking and CBDCs (e.g., Brazil's Drex), while Southeast Asian economies like Indonesia and the Philippines are rapidly scaling digital wallets and microfinance platforms that address financial access gaps.

Author affiliation analysis shows a concentration of publications in Chinese academic institutions. Zhongnan University of Economics and Law leads with 25 papers, followed by Southwestern University of Finance and Economics (21), and Wuhan University (19). Peking University and Nanjing University of Finance and Economics each contributed 17 papers, indicating national policy alignment and institutional focus on digital finance.

Overall, this analysis demonstrates the increasingly transnational nature of digital finance research. Countries are transcending geographic and institutional boundaries to foster collaborative knowledge production. These patterns reflect the emergence of new research hubs and offer strategic implications for strengthening global academic cooperation in digital finance.

Keyword Co-occurrence Analysis was conducted to identify the conceptual connections within the digital finance literature. This bibliometric technique examines the frequency and associations of terms or keywords across a collection of documents, enabling researchers to uncover patterns, trends and thematic relationships (Huang, Yang, Wang, Wu, Su, & Liang, 2020) (refer to Appendix 2 for readings). Keyword co-occurrence networks were generated with a threshold of at least 5 co-occurrences. Sensitivity was assessed by adjusting this value to 3 and 7, which did not significantly affect the formation of thematic clusters. Using the authors’ keywords, the analysis in VOSviewer software identified four primary clusters in the field, as depicted in Figure 5. Bibliographic coupling of documents was conducted to complement keyword co-occurrence analysis and enhance the intellectual mapping of the field. As shown in Figure 6, 170 documents met the threshold of a minimum of 10 citations. To assess cluster robustness, sensitivity tests were conducted at thresholds of 5 and 15. Thematic groupings remained consistent across runs, confirming structural stability. Each node represents a document, with node size reflecting citation count and colors denoting thematic clusters. Notably, Ozili (2018) appears as a central and highly influential work, closely linked to other key contributions by Aziz and Naima (2021), Cao, Nie, Sun, Sun, and Taghizadeh-Hesary (2021), Chen and Zhang (2021), Gomber et al. (2017) and Li et al. (2020).

This method highlights how documents are interconnected through shared references, revealing thematic proximity and foundational literature within digital finance research. It also aids in identifying emerging research fronts and the structural evolution of scholarly discourse in the field.

This analysis identified the following four subject areas for future research (Table 3), and these have been classified into four main clusters:

This cluster centers on the intersection of digital finance and sustainability, with a primary focus on how financial technologies are being leveraged to advance environmental and developmental goals. A prominent theme is the use of digital platforms, particularly those based on blockchain, for enhancing transparency and efficiency in carbon credit markets and emission tracking (Yang, Lv, Chen, & Lv, 2024). These technologies facilitate seamless, auditable transactions that support carbon reduction initiatives and environmental accountability. In parallel, digital financial services are playing a critical role in enabling investments in green technologies and clean energy, thereby catalyzing transitions toward low-carbon economies (Chen et al., 2024; Feng, Zhang, & Li, 2022). The integration of environmental economics, green innovation and financial access also underscores the role of digital finance in advancing the United Nations Sustainable Development Goals (SDGs) (Lyu et al., 2023) (refer to Appendix 2 for readings). By extending financial tools to underserved and marginalized populations, digital finance fosters economic inclusion (SDG 1), reduces inequality (SDG 10) and promotes entrepreneurship and employment (SDG 8). Moreover, by facilitating women's financial access and supporting innovation-driven ecosystems, it contributes to SDG 5 and SDG 9, respectively. This cluster highlights a growing academic and policy interest in positioning digital finance as not only a tool for economic efficiency but also a driver of inclusive and sustainable growth. Future research is needed to evaluate the behavioral dimensions of sustainable finance adoption, examine regulatory frameworks for green digital innovation and explore successful policy models and financial instruments that align digital finance with long-term sustainability objectives (Chen & Chen, 2024; Wang, Cao, Ren, & Gozgor, 2024; Xu, Zhong, & Dong, 2024).

This cluster centers on the evolving relationship between advanced digital technologies and financial stability, particularly in the wake of the COVID-19 pandemic. Key studies in this group explore how AI and machine learning are redefining risk detection, fraud mitigation and credit scoring, offering unprecedented precision in financial decision-making (Yue, Yang, & Dong, 2024). Concurrently, blockchain and cryptocurrencies have introduced decentralization, speed and transparency into financial systems, while simultaneously challenging traditional regulatory structures and raising concerns about volatility and systemic risk (Cheng, Li, Luo, & Zhu, 2024). The pandemic served as a catalyst for accelerated fintech adoption, leading to widespread use of digital platforms such as peer-to-peer lending, mobile payments and decentralized finance (DeFi), which have supported both continuity and accessibility in disrupted economies (Al-Smadi, 2023). However, these shifts have also heightened concerns about digital asset bubbles, data asymmetry, debt proliferation and regulatory lag (Yue, Korkmaz, Yin, & Zhou, 2022) (refer to Appendix 2 for readings). The tension between innovation and oversight emerges as a recurring theme, reinforcing the need for adaptive regulatory strategies that address real-time risks without stifling technological advancement. This cluster contributes to theoretical discussions on technological disruption, resilience and systemic adaptation. Future research should further explore the integration of fintech innovations into financial stability frameworks, assess the effectiveness of digital regulatory infrastructure and examine the long-term implications of digital asset proliferation on macroeconomic stability (Xu & Yang, 2024; Xu, Shen, Zhang, Zhang, & Huang, 2024; Zhou, Shi, Bao, Gao, & Ma, 2023).

This cluster focuses on the pivotal role of digital financial services in advancing financial inclusion and promoting entrepreneurship, particularly in emerging economies. Digital financial inclusion involves the use of digital tools, such as mobile banking, digital wallets, micro-lending platforms and crowdfunding, to provide access to financial services for unbanked and underserved populations (Arner, Buckley, Zetzsche, & Veidt, 2020; Elouaourti & Ibourk, 2024; Malladi, Soni, & Srinivasan, 2021). Studies within this cluster emphasize that such access reduces income inequality and facilitates poverty alleviation, aligning closely with the UN Sustainable Development Goals (Suhrab, Chen, & Ullah, 2024; Vasishta & Singla, 2024). Beyond access, these platforms empower individuals to engage in entrepreneurial activities by reducing reliance on traditional banking systems and enabling low-cost, real-time credit acquisition (Cucino, Passarelli, Di Minin, & Cariola, 2022; Sun & Xie, 2024). Digital credit lines and mobile-based micro-investment tools allow aspiring entrepreneurs, especially women and rural populations, to launch or scale businesses, manage financial flows and mitigate operational risks.

Additionally, emerging research explores the behavioral dimensions of financial inclusion, linking access to fintech tools with improved investment behavior, reduced disposition effects and greater portfolio diversification among first-time investors (Lu, Zhang, Guo, & Yue, 2024). This intersection opens new theoretical avenues that combine behavioral finance, financial inclusion and entrepreneurial innovation. Studies from BRICS nations and developing economies further underscore the transformative potential of digital finance in building inclusive innovation ecosystems and entrepreneurial resilience (Afjal, 2023). Future research should examine how digital financial services shape entrepreneurial motivation, access to startup capital and business sustainability, particularly in contexts marked by financial exclusion, limited literacy or informal economies (Anshika, Singla, & Mallik, 2021; Hu, Guo, Shang, & Zhang, 2024; Yu, Hui, & Dong, 2024).

This cluster highlights the psychological and behavioral factors underpinning user engagement with digital financial services, with a particular emphasis on the concepts of trust, perceived risk and technology acceptance. As financial institutions transition toward digital-first service models, including mobile banking, e-wallets, peer-to-peer lending and digital currencies, users' trust in platform security, data privacy and institutional credibility has emerged as a central determinant of adoption behavior (Awad, Aljaafreh, & Salameh, 2022; Greiner & Wang, 2010). This is particularly relevant in low-trust environments and emerging markets like India, where digital infrastructure may outpace digital literacy and regulatory protections. The literature in this cluster draws extensively from behavioral frameworks such as the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT) and Perceived Risk Theory, which collectively help in explaining how individuals assess the trade-offs between innovation and risk. Research suggests that when trust is high and perceived risk is low, user adoption increases, regardless of the novelty of the financial service (Cheng et al., 2024). While trust and risk remain central in this cluster, a few of the themes, such as “fairness,” “bias,” and the General Data Protection Regulation (GDPR), were identified. This pattern shows that research has so far approached trust primarily through security and privacy, while questions around algorithmic decision-making in credit scoring and financial access are still emerging. Incorporating these ethical and governance dimensions can open new lines of inquiry, particularly around how algorithmic processes shape financial inclusion and the equitable distribution of digital finance benefits.

Conversely, poor user interface design, opaque terms of service and fears of data breaches serve as adoption barriers, especially for older or digitally illiterate populations. The cluster also reflects the growth of digital currencies backed by the government and the scalability of real-time payment infrastructures. For this, understanding user trust dynamics and technology readiness will be vital for policy and product design.

Therefore, exploring trust-building mechanisms, such as transparent governance, robust customer support and financial education initiatives, will be beneficial for sustainable digital finance adoption (Ogunmola & Das, 2024) (refer to Appendix 2 for readings).

This study also offers the Triggers-Barriers-Facilitators-Outcomes Framework (TBFO) (Figure 7) as a conceptual tool to capture the evolving dynamics of digital finance. It identifies key Triggers from Figures 2 and 3, such as technological advancements, policy shifts and pandemic acceleration-driven adoption. At the same time, Figures 3 and 5 identify Barriers such as the digital divide, cybersecurity threats and fragmented regulatory environments that continue to impede inclusive progress. The framework further recognizes Facilitators through Figure 4, including regulatory support, infrastructure development, AI and collaborations between banks and Fintech, that enable growth by addressing challenges. These elements actively mediate constraints and promote scalability. The Outcomes derived from figures 3, 5 and 6 highlight that this framework encompasses theoretical contributions to digital financial inclusion, practical advancements in service access and delivery, managerial implications for operational efficiency and broader social benefits aligned with SDGs 1 and 10, including poverty alleviation and the reduction of financial inequality. By integrating these components, the TBFO framework underscores the complex interplay of forces driving the digital finance landscape.

The findings of this study offer theoretical contributions to the emerging field of digital finance within the context of digital transformation. This study advances the agenda by systematically mapping the intellectual structure of digital finance using bibliometric techniques such as co-authorship, co-occurrence, citation analysis and bibliographic coupling tools, which quantitatively validate the significance of key research streams and emerging thematic directions.

The integration of these methods has allowed for the identification of major thematic clusters that represent the conceptual structure of the field, which demonstrates the interdisciplinary nature of digital finance research, bridging economics, technology, management and policy studies, demanding a cross-domain scholarly engagement to address its evolving complexities. By applying the TBFO framework, the study contributes a structured approach to understand how digital trust, financial literacy and regulatory support interact with technological enablers like AI, blockchain and mobile finance in shaping financial outcomes. Furthermore, this research offers a reference point for future scholars aiming to explore under-investigated areas such as trust dynamics in digital ecosystems, behavioral factors in digital inclusion and the interplay between green finance and digital infrastructures.

From a practical standpoint, the study offers critical insights for financial institutions, technology firms and regulators. First, cluster-based findings emphasize the need for targeted digital infrastructure investments, especially in underbanked regions, to promote digital financial inclusion. Initiatives such as mobile financial services, peer-to-peer lending platforms and agent banking can be scaled using AI and cloud technologies to improve service reach. A notable example is India's Unified Payments Interface (UPI), which has facilitated billions of low-cost digital transactions and enabled inclusive access across geographies. Key Performance Indicators (KPIs) such as transaction volume in Tier-2/3 cities, active user growth and digital onboarding rates can help assess infrastructure-led inclusion.

Second, the prominence of trust and risk themes in adoption studies signals the urgency of building robust digital trust architectures, including data protection, user-centric app design and cybersecurity protocols. Example of Brazil's PIX system, which facilitates secure, instant and round-the-clock payments, illustrates how transparent and reliable design features improve user confidence. Practitioners may monitor fraud incidence rates, user retention and net promoter scores to evaluate digital trust outcomes.

Third, integrating green finance with digital platforms, such as tokenized carbon credits or ESG-based investment filters, can be strategically scaled to align financial ecosystems with sustainability goals. While many countries are in early stages, China’s green fintech pilot zones and India’s green bond initiatives show how national strategies can catalyze environmentally focused digital innovation. Impact can be measured using KPIs such as volume of ESG-linked transactions, carbon credit trading activity and user adoption of green products. Fourth, the collaboration between financial regulators and policymakers across borders via the G20 Global Partnership for Financial Inclusion (GPFI) or BIS Innovation Hub can develop cohesive regulatory frameworks that balance innovation with consumer protection. Initiatives like Project Nexus, led by the BIS, aim to connect instant payment systems across jurisdictions, demonstrating how coordinated policies can accelerate safe digital transformation. Key metrics here include the number of interoperable platforms, cross-border transaction success rates and policy alignment indicators.

Lastly, firms can foster bank–fintech partnerships to co-create solutions, especially in areas like InsurTech, robo-advisory and RegTech, where co-innovation can reduce operational costs and improve service personalization. For instance, NPCI’s UPI Global initiative, in collaboration with partner banks, extends India’s digital payment infrastructure to international corridors, enhancing financial connectivity and service reach. Relevant KPIs may include cost-to-serve ratios, time-to-market for digital products and automated compliance rates.

The findings of this study also offer meaningful implications for financial policymakers and regulatory authorities. The thematic clusters highlight that while digital finance fosters innovation, inclusion and sustainability, it simultaneously raises concerns around security, regulation and systemic risk. Policymakers can prioritize the development of adaptive regulatory frameworks that support innovation without compromising consumer protection. This includes promoting regulatory sandboxes, dynamic compliance protocols and risk-based supervision tailored to fintech innovations such as DeFi, crypto-assets and AI-powered financial services.

Moreover, the prominence of financial inclusion and digital trust in the literature highlights the need for policies that bridge digital divides, especially through investments in digital literacy programs (exemplified by the Reserve Bank of India’s Financial Literacy Centres), broadband infrastructure and public-private partnerships in underserved regions, as highlighted in India's National Strategy for Financial Inclusion (2019–2024). Central banks and financial authorities are also encouraged to standardize digital identities, interoperability among payment systems and secure digital onboarding processes to reduce fraud and expand access. In addition, environmental and sustainability-focused clusters underscore the need for green digital finance policies, such as incentivizing ESG-compliant fintech products, supporting carbon market digitization and integrating sustainability metrics into financial supervision. To complement the broader research agenda presented in Table 3, Figure 8 focuses on actionable policy levers and their corresponding policy-oriented research questions, enabling both regulators and scholars to address each thematic area with targeted interventions.

The present bibliometric and systematic analysis, employing VOSviewer software and Biblioshiny interface from the RStudio's bibliometrix package, offers a detailed and structured understanding of the digital finance research landscape. By fulfilling the first research objective, the study identifies key thematic concentrations, intellectual structures and emerging trends that define this dynamic field. The significant increase in scholarly output since 2020 underscores a growing academic and practical interest in digital finance, particularly driven by fintech innovations, financial inclusion imperatives and technological enablers such as blockchain, AI and machine learning.

In addressing the second research objective, the co-occurrence and thematic analyses identified both domains and underexplored areas, guiding future research priorities. The systematic classification of themes into motor, niche, emerging and basic categories enables scholars to recognize knowledge gaps and strategically align their investigations with high-impact areas.

Furthermore, to accomplish the third objective, this study utilizes keyword co-occurrence analysis to identify the major clusters in this field. These clusters helped in identifying the future research directions and offered the TBFO framework, which synthesizes the complex interplay of forces shaping the evolution of digital finance. This framework contributes not only theoretically by mapping conceptual pathways but also practically by informing policy, managerial practices and inclusive innovation strategies. Future studies can consider using tools such as the A Measurement Tool to Assess Systematic Reviews (AMSTAR-2), Critical Appraisal Skills Programme (CASP) or Joanna Briggs Institute (JBI) checklists to enhance transparency when combining bibliometric and systematic review methods. The findings also advocate for interdisciplinary collaborations across finance, technology and social sciences to further deepen understanding and foster impactful innovation in the digital finance domain.

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