Supporting Decision Making in Managing the Process of Payments in the Instant Payments System
DOI:
https://doi.org/10.14529/ctcr190418Keywords:
decision support, instant payment system, making payments, the task of finding a critical path, Ford’s algorithmAbstract
The paper discusses decision support in managing the payment process in the instant payment system. Instant payment system operates in the network of intermediaries payment systems. A review of current research publications is given. The making a payment task is considered as the task of finding a critical path in the digraph of the intermediaries payment systems network. The optimization function is the criterion for managing the payment process. The management criterion is to maximize the possible remuneration from the payment or minimize the time of the payment. The choice of management criteria is made by the decision maker, depending on the goals of the instant payment system and the state of the intermediaries payment systems network. The proposed algorithms and software of payment module of instant payments system. The developed algorithmic support consists of the payment module algorithm and the algorithm for finding the payment route based on the Ford algorithm for finding a critical path in the network schedule. The object-oriented programming language C # was used for the development of the Payment module. A numerical experiment was carried out, which showed the efficiency of the proposed approach to decision support in managing the payment process in the instant payment system. The results of the payment time correspond to the acceptable for the market payments borders. Remuneration received is a satisfactory financial result.References
Solomon, K. The social system approach to institutions: examples from western economic history / K. Solomon // Журнал институциональных исследований. – 2016. – Т. 8, №. 3. – С. 6–34. DOI: 10.17835/2076-6297.2016.8.3.006-034
Modeling technical and service efficiency / E. Tsionas, A.G. Assaf, D. Gillen, A.S. Mattila // Transportation Research Part B: Methodological. – 2017. – Vol. 96. – P. 113–125. DOI: 10.1016/j.trb.2016.11.010
Хаваш, А. Социальные и бизнес-инновации: возможны ли общие подходы к измерению? / А. Хаваш // Форсайт. – 2016. – Т. 10, № 2. – С. 58–80. DOI: 10.17323/1995-459X.2016.2.58.80
Shrestha, A. Innovative decision support for IT service management / A. Shrestha, A. Cater-Steel, M. Toleman // Journal of Decision Systems. – 2016. – Vol. 25, iss. sup 1. – P. 486–499. DOI: 10.1080/12460125.2016.1187424
Cândea, C. Towards intelligent collaborative decision support platforms / C. Cândea, F.G. Filip // Studies in Informatics and Control. – 2016. – Vol. 25 (2). – P. 143–152. DOI: 10.24846/v25i2y201601
Lukashevich, N.S. Аnalytic decision support system for small business crediting / N.S. Lukashevich, D.A. Garanin // Научно-технические ведомости СПбГПУ. Экономические науки. – 2016. – № 5 (251). – С. 83–94. DOI: 10.5862/JE.251.8
Winkler, Á. Intelligent decision support technologies in public and individual transport / Á. Winkler, B. Horváth // Intelligent Decision Technologies. – 2017. – Vol. 11, no. 4. – P. 441–449.
Katamadze, S. Instant payment system business model and technical description / S. Katamadze, N. Topuria // Computer Science and Telecommunications. – 2018. – No. 1 (53). – P. 86–95.
Pasquet, M. Instant payment versus smartphone payment: The big fight / M. Pasquet, S. Gerbaix // Proceedings of the 2017 3rd Conference on Mobile and Secure Services (MobiSecServ 2017), February 2017.
Mobile payments in global markets using biometrics and cloud / D. Pal, P. Khethavath, T. Chen, Y. Zhang // International Journal of Communication Systems. – 2017. – Vol. 30 (14): e3293.
Yaokumah, W. Demographic Influences on E-Payment Services / W. Yaokumah, P. Kumah, E.S.A. Okai // International Journal of E-Business Research. – 2017. – Vol. 13 (1). – P. 43–63.
Application of a New Service-Oriented Architecture (SOA) Paradigm on the Design of a Crisis Management Distributed System / K. Domdouzis, S. Andrews, S. Hallam, B. Akhgar // International Journal of Distributed Systems and Technologies. – 2016. – Vol. 7 (2). – P. 1–17. DOI: 10.4018/IJDST.2016040101
Kumar, H. A High Performance Model for Task Allocation in Distributed Computing System Using K-Means Clustering Technique / H. Kumar, N.K. Chauhan, P.K. Yadav // International Journal of Distributed Systems and Technologies. – 2018. – Vol. 9 (3). – P. 1–23. DOI: 10.4018/IJDST.2018070101
Braeken, A. An Improved E-Payment System and Its Extension to a Payment System for Visually Impaired and Blind People with User Anonymity / A. Braeken // Wireless Personal Communications. – 2017. – Vol. 96, iss. 1, pp 563–581. DOI: 10.1007/s11277-017-4184-5
Kang, B. A fair electronic payment system for digital content using elliptic curve cryptography / B. Kang, D. Shao, J. Wang // Journal of Algorithms & Computational Technology. – 2017. – vol. 12 (1). – P. 13–19. DOI: 10.1177/1748301817727123
Kotelnikov, V.A. Development of an Instant Payment System Based on a Single Information Space / V.A. Kotelnikov, N.I. Yusupova // Proceedings of the International Conference on Computer Science and Information Technologies (CSIT 14), Sheffield, England, September 17–22, 2014. – 2014. – Vol. 2. – P. 20–25.
Яхина, Е.И. Управление качеством услуг финансового посредничества / Е.И. Яхина, В.А. Котельников, Д.Р. Богданова // Труды 3-й международной конференции «Информационные технологии интеллектуальной поддержки принятия решений» (ITIDS’2015), 18–21 мая 2015 г., Уфа, Россия. – Уфа, 2015. – Т. 2. – С. 153–163.
