Application of Digital Technology in Financial Development
A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).
Deadline for manuscript submissions: 30 May 2026 | Viewed by 18
Special Issue Editors
Interests: computational finance; machine learning; big data; investment and risk management; operations research
Special Issues, Collections and Topics in MDPI journals
Interests: capital markets; risk management; financial institution management; sustainable finance
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This special issue explores how digital technologies—such as artificial intelligence, blockchain, big data analytics, cloud computing, cybersecurity in digital finance, and digital currencies—reshape financial systems, institutions, and practices. It emphasizes transformative applications in areas like fintech innovation, algorithmic trading, decentralized finance (DeFi), regulatory compliance, and financial inclusion. The issue covers theoretical advancements, empirical studies, and case analyses spanning developed and emerging markets. The purpose of this issue is to provide a comprehensive understanding of the opportunities and challenges that digital technology brings to financial development. It aims to bridge the gap between technological innovation and financial practices, offering insights for both academia and industry.
By bridging academia and industry perspectives, the issue aims to advance understanding of how digitalization drives efficiency, accessibility, and sustainability in finance while addressing risks like systemic vulnerabilities, data privacy concerns, and regulatory fragmentation.
While prior research often isolates individual technologies (e.g., blockchain or AI) or examines sector-specific impacts (e.g., banking or insurance), this issue adopts a holistic lens to uncover interdependencies between tools, models, markets, and policies. It extends literature by:
- Integrating cross-disciplinary insights from finance, computer science, and governance studies;
- Providing empirical evidence on scalability challenges and unintended consequences of rapid digital adoption.
- By synthesizing fragmented discourse, this collection offers policymakers, practitioners, and scholars actionable frameworks to navigate the evolving digital-financial nexus.
- Addressing understudied areas like ethical AI and address emerging trends and potential future developments.
Dr. Wei Li
Dr. Michael C. S. Wong
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Big Data and Cognitive Computing is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- big data analytics
- digital technology
- fintech innovation
- blockchain
- cloud computing
- cybersecurity
- decentralized finance
- digital currencies
- financial development
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