Artificial Intelligence and Machine Learning in Intelligent Mobile FinTech

The exponential growth in data, propelled by the advancements in digital technologies, has significantly impacted the financial sectors of society - both physically and virtually (e.g., banks, online transactions, public infrastructure construction, etc.). Concurrently, the emergence of FinTechs, underpinned by intelligent logic and capacity, has made the processing and utilization of these informational resources increasingly efficient. The applications of these technologies have garnered immense attention from academics and practitioners alike.

The pervasive influence of Financial Technologies (FinTechs) in our daily lives is continually expanding, with the field intersecting with various facets of Computer Science. However, to more strongly link these aspects to the field of Computer Science, a deeper understanding of the underpinning technologies is paramount. Even more, the challenges presented are not solely technical. As conduits and operators of financial information, individuals and organizations can also be sources of problems when interacting with the rationally designed FinTech. This necessitates broader research into FinTech's role in society beyond mere application and accreditation. We must consider advocative, accommodative, administrative, and acculturative aspects of FinTech from an integrative or interdisciplinary perspective. Consequently, the integration of computational perspectives is crucial for each of these four dimensions.

Advocation: Exploring how Computer Science principles such as User Experience (UX) design and Human–Computer Interaction (HCI) influence users' motivation to engage with FinTech. Research topics could include designing intelligent FinTech interfaces, mobile computing applications in FinTech, and behavioural changes driven by such applications.

Accommodation: Investigating how computational systems theory can inform the integration of FinTech within organizations or social systems. Topics could include software architecture for FinTech, collaborative development methodologies for FinTech projects, and distributed ledger technologies.

Administration: Examining the use of algorithms, data structures, and software engineering principles for the governance of FinTech. Topics might encompass algorithmic transparency in FinTech applications, data privacy and security, and the design of governance mechanisms using blockchain technologies.

Acculturation: Observing how computer-mediated communication shapes the development of FinTech cultures within organizations. Research questions might address the role of collaborative tools in fostering a FinTech culture or how computational thinking shapes the understanding and usage of FinTech systems.

This Special Issue thus invites conceptual and empirical scholarly works that shed light on the integrative development of FinTech through a computer science lens. Furthermore, we also welcome any study that extends beyond the above discussion. Therefore, potential topics include but are not limited to the following:

~ Development and evaluation of algorithms used in FinTech applications;

~ Design and implementation of secure FinTech systems, exploring aspects such as data encryption, privacy preservation, and fraud detection;

~ Exploration of Machine Learning and Artificial Intelligence in decision-making and prediction in financial fields;

~ Use and implications of Distributed Ledger Technologies (e.g., Blockchain) in FinTech;

~ Development and deployment of FinTech applications in Cloud Computing;

~ The role of Big Data analytics in processing financial data;

~ Cybersecurity challenges and solutions in FinTech;

~ Ethical considerations and regulations in the deployment of AI and machine learning in FinTech;

~ Human–computer interaction (HCI) studies in FinTech interfaces and user experience (UX);

~ Application of network science in understanding and predicting financial systems dynamics;

~ Study of computational social science methods in understanding collective behavior in financial markets;

~ Algorithmic foundations and data structures in FinTech;

~ Cybersecurity measures in FinTech;

~ Role of machine learning and artificial intelligence in FinTech;

~ User privacy and data protection in FinTech;

~ Application of cloud computing in FinTech;

~ Blockchain applications in financial governance;

~ User behaviour modelling in FinTech;

~ Human–computer interaction in FinTech;

~ Case studies of successful or failed FinTech implementations;

~ Future trends in FinTech development and their societal implications..

To cover more complete of our four dimensions discussed above, still more issues could also be explored with computer science issues in mind:

~ FinTech policy making and governance (administration);

~ User perceptions (e.g., satisfaction, rumors) and behaviors (e.g., tech acceptance);

~ Privacy issue beyond technical perspectives and from interdisciplinary lens;

~ Accreditation of FinTech and its use;

~ Service ecosystem and value co-creation;

~ Knowledge management and intellectual property;

~ Complexity, dynamics, and evolution;

~ Human–FinTech interactions;

~ Dark sides of FinTech and accommodation methods;

~ Cultural and ethical issues of FinTech (acculturation);

~ Avocation and diffusion of FinTech;

~ Context-specific (e.g., special industry or sector) and comparative case study.

Prof. Dr. Bao Wu
Dr. Fu-Sheng Tsai
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. Information 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 1600 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.