Publication Type
Journal Article
Version
acceptedVersion
Publication Date
9-2024
Abstract
This paper seeks to combine the merits of Low/No-Code Programming (LNCP) with Traditional Programming (TP) systems to achieve true “agility” when creating banking infrastructure. While it is easy to fall prey to Shiny Object Syndrome in today’s dynamic and fast-paced banking technology world, it is not easy to pick out the right technology for today and tomorrow’s financial industry. Instead, LNCPs allow us to hedge all bets by equally lowering the technical entry barriers for each technology. The added integration of TP, when needed, also rounds out the faults related to sole LNCP use and provides any bank with a more holistic approach to improving onward. This way, we can focus on adapting the winning solutions quickly and efficiently whenever they prevail instead of trying to read and bet on the unknown. Unfortunately, there has been little headway in this direction, academically or empirically. To create such a framework, this paper combines current research on LNCPs and conventional programming with interviews with banking professionals and the author’s personal experience in both the LNCP and traditional programming world. While it will not be exhaustive, the goal is to kickstart a conversation and research interest in this direction.
Keywords
Low code / no code programming, LCNP, software development, agility, digital bank, internet banking
Discipline
Databases and Information Systems | Finance and Financial Management
Research Areas
Software and Cyber-Physical Systems
Publication
Journal of Digital Banking
Volume
9
Issue
2
First Page
172
Last Page
188
ISSN
2397-060X
Identifier
10.69554/XLSZ2195
Publisher
Henry Stewart Publications
Citation
YEO, Kim Siang and MEGARGEL, Alan @ Ali MADJELISI.
Low/no-code and traditional code integration in digital banking. (2024). Journal of Digital Banking. 9, (2), 172-188.
Available at: https://ink.library.smu.edu.sg/sis_research/9361
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.69554/XLSZ2195