Next-Generation Payment Technologies in Digital Commerce
-
DOI:
https://doi.org/10.67228/30715628/IJMIET-2022PI1P8NPublished 06-03-2022
Digital commerce, payment security, tokenization, real-time payments, open banking, pay-by-bank, CBDC, blockchain settlement, biometric authentication, fraud detection Issue
Section
ArticlesHow to Cite
[1]P. Natarajan, “Next-Generation Payment Technologies in Digital Commerce”, ijmiet, vol. 5, no. 1, pp. 01–18, Jun. 2022, doi: 10.67228/30715628/IJMIET-2022PI1P8N.Abstract
Digital commerce payments have evolved from simple card-not-present transactions to complex ecosystems including mobile wallets, instant payments, tokenization, embedded finance, and programmable money. At the same time, new threats such as account takeover, synthetic identities, SIM swap fraud, token theft, and API abuse have increased. Next-generation payment technologies—such as biometric authentication, EMV tokenization, contactless and QR payments, real-time payment rails, blockchain settlement, central bank digital currencies (CBDCs), and pay-by-bank/A2A systems—aim to improve security, interoperability, user experience, and compliance. These systems replace static credentials with dynamic tokens and cryptograms, reducing fraud risk and improving authorization. Phishing-resistant authentication methods like biometrics and passkeys are also gaining adoption. Modern payment rails like real-time payments and open banking enable faster transactions and lower fees but require stronger fraud detection. Blockchain networks and stablecoins may enable faster cross-border settlement, while CBDCs could provide sovereign digital money with programmable features, though design, regulation, and privacy remain challenges. Overall, the most practical approach is layered modernization: combining tokenization and strong authentication, intelligent transaction routing across multiple rails, and AI-based fraud detection with privacy-preserving technologies. Future adoption of blockchain and CBDCs will depend on interoperability, regulation, and secure key management.
References
[1] Hayashi, F., Markiewicz, K., & Minhas, S. (2018). The Initial Effects of EMV Migration on Chargebacks in the United States. Federal Reserve Bank of Kansas City Working Paper.
[2] U.S. Payments Forum. (2017). Understanding the U.S. EMV Liability Shifts. White paper.
[3] Froud, D. (2016). The global implications of US EMV adoption. Computer Fraud & Security.
[4] Broadcom (CA Technologies). (c. 2014). 3-D Secure Authentication Using Advanced Models. Technical paper/guide.
[5] Worldpay. (n.d.). Navigating frictionless 3D Secure for enterprise merchants. Industry article.
[6] Fiserv (Carat). (c. 2022). Network Tokens Whitepaper. White paper (PDF).
[7] Ogundele, O., Zavarsky, P., Ruhl, R., & Lindskog, D. (2012). Fraud Reduction on EMV Payment Cards by the Implementation of Stringent Security Features. (paper as hosted on ResearchGate).
Downloads
How to Cite
[1]P. Natarajan, “Next-Generation Payment Technologies in Digital Commerce”, ijmiet, vol. 5, no. 1, pp. 01–18, Jun. 2022, doi: 10.67228/30715628/IJMIET-2022PI1P8N.
Most read articles by the same author(s)
- Dr. Priya Natarajan, Edge Computing Architectures for Ultra-Low Latency Applications , International Journal of Modern Innovations and Emerging Trends: Vol. 4 No. 1 (2021)
Similar Articles
- Dr. K. Balasubramanian, Integrating Robotics in Modern Warehouse Logistics , International Journal of Modern Innovations and Emerging Trends: Vol. 3 No. 2 (2020)
- Dr. Suresh Babu Reddy, Autonomous Vehicle Navigation Using Sensor Fusion Algorithms , International Journal of Modern Innovations and Emerging Trends: Vol. 1 No. 2 (2018)
- Dr. Arvind Kumar Singh, The Influence of Green Technology Adoption on Manufacturing Efficiency , International Journal of Modern Innovations and Emerging Trends: Vol. 6 No. 1 (2023)
- Dr. Rohit Malhotra, ML-Enhanced Code Refactoring Recommendations for Improving Software Maintainability , International Journal of Modern Innovations and Emerging Trends: Vol. 2 No. 2 (2019)
- Louis Pouzin, Jacques Arsac, Retrieval-Augmented Generation (RAG) Systems for Knowledge Management , International Journal of Modern Innovations and Emerging Trends: Vol. 7 No. 1 (2024)
- Dr. Pooja Agarwal, AI-Driven Decision Systems for Real-Time Disaster Prediction , International Journal of Modern Innovations and Emerging Trends: Vol. 6 No. 2 (2023)
- Dr. Matteo Rossi, Dr. Giulia Romano, A Cross-Sector Analysis of Modern Trends in Digital Transformation , International Journal of Modern Innovations and Emerging Trends: Vol. 6 No. 2 (2023)
- N. Seshagiri, Federated Learning Frameworks for Privacy-Preserving Smart Applications , International Journal of Modern Innovations and Emerging Trends: Vol. 7 No. 1 (2024)
- Alan Bundy, Karen Sparck Jones, AI-Driven Decision Systems for Real-Time Disaster Prediction , International Journal of Modern Innovations and Emerging Trends: Vol. 7 No. 1 (2024)
- Dr. Priya Natarajan, Edge Computing Architectures for Ultra-Low Latency Applications , International Journal of Modern Innovations and Emerging Trends: Vol. 4 No. 1 (2021)
You may also start an advanced similarity search for this article.