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Investigation and application of key technologies of aggregated flash payment based on marketing blockchain in the context of massive distributed generation grid connection

  • Chao Wang , Qingfang Zhang ORCID logo EMAIL logo , Pengfei Yang , Xiaofeng Si and Li Zhou

Abstract

Optical flash payment technology is a form of optical flash payment application. Its payment scenario is mainly to directly realize “card free payment” in the consumption process through mobile devices, Bluetooth and other connection methods on mobile terminal devices such as smart phones under the mobile Internet environment. The “flash payment” is a more convenient payment method and a new payment channel without the function of electronic wallet. Compared with the current mainstream payment methods, it is more collaborative and complementary. Aggregated payment is a fourth party payment platform, which is different from Alipay, WeChat and other third payment platforms. Aggregated payment is a combination of technology and a platform that combines multiple payment methods. Based on the background of massive distributed power generation connected to the grid, this paper studied the key technologies of flash payment in combination with marketing blockchain, and discussed the data sharing mechanism of marketing information in multiple scenarios from the perspective of marketing blockchain by studying the data sharing mechanism in different scenarios. In this paper, a distributed optical flash payment system and a blockchain based encryption algorithm were proposed. Based on this research, the experimental results of key technologies of aggregated optical flash payment based on marketing blockchain were analyzed. The experimental results in this paper showed that 38.7 % of the users contacted the aggregation payment through the online platform. 11.7 % of people communicated through chatting with friends, and 9.8 % of enterprises got in touch through preferential policies. 4.5 % of them publicized through the media, and 8.3 % made requests through payment plans. 21 % of them transferred money through remittance, and 6 % of them got it through other ways. When using aggregate payment, the main reasons for users to choose aggregate payment were the network, friends chatting, and the acceptance of other people’s remittances. In the case that users used aggregate payment services, they most often used transfer and remittance, and most of these purchases were paid through mobile payment and credit card. In terms of users’ use of third-party services, it could be seen that transportation services and movie tickets were the most common ways of use. In terms of the aggregation payment strategy, the improvement of the three levels of aggregation payment could improve the risk prevention ability. First, the complaint mechanism was established to detect and correct potential vulnerabilities in the system in a timely manner. Second, consumers’ sense of self-protection should be strengthened. Third, the legal construction of the payment industry should be promoted to increase the strike force against illegal use.


Corresponding author: Qingfang Zhang, State Grid Gansu Electric Power Company, Lanzhou 730000, Gansu, China, E-mail:

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: No funding were used to support this study.

  3. Conflict of interest statement: These are no potential competing interests in our paper. And all authors have seen the manuscript and approved to submit to your journal. We confirm that the content of the manuscript has not been published or submitted for publication elsewhere.

  4. Data availability statement: No data were used to support this study.

References

1. Yaokumah, W, Kumah, P, Okai, ESA. Demographic influences on e-payment services. Int J E Bus Res 2017;13:44–65. https://doi.org/10.4018/ijebr.2017010103.Search in Google Scholar

2. Kang, J. Mobile payment in Fintech environment: trends, security challenges, and services. Hum-centric Comput Inf Sci 2018;8:1–16. https://doi.org/10.1186/s13673-018-0155-4.Search in Google Scholar

3. Xena, P, Rahadi, RA. Adoption of e-payment to support small medium enterprise payment system: a conceptualised model. Int J Account 2019;4:32–41.Search in Google Scholar

4. Gao, F, Zhu, L, Shen, M, Sharif, K, Wan, Z, Ren, K. A blockchain-based privacy-preserving payment mechanism for vehicle-to-grid networks. IEEE Network 2018;32:184–92. https://doi.org/10.1109/mnet.2018.1700269.Search in Google Scholar

5. Zhang, Y, Deng, RH, Liu, X, Zheng, D. Outsourcing service fair payment based on blockchain and its applications in cloud computing. IEEE Trans Serv Comput 2018;14:1152–66. https://doi.org/10.1109/tsc.2018.2864191.Search in Google Scholar

6. Gao, L, Waechter, KA. Examining the role of initial trust in user adoption of mobile payment services: an empirical investigation. Inf Syst Front 2017;19:525–48. https://doi.org/10.1007/s10796-015-9611-0.Search in Google Scholar

7. Huberman, G, Leshno, JD, Moallemi, C. Monopoly without a monopolist: an economic analysis of the bitcoin payment system. Rev Econ Stud 2021;88:3011–40. https://doi.org/10.1093/restud/rdab014.Search in Google Scholar

8. Counts, NZ, Roiland, RA, Halfon, N. Proposing the ideal alternative payment model for children. JAMA Pediatr 2021;175:669–70. https://doi.org/10.1001/jamapediatrics.2021.0247.Search in Google Scholar PubMed

9. Ali, MA, Arief, B, Emms, M, van Moorsel, A. Does the online card payment landscape unwittingly facilitate fraud? IEEE Secur Priv 2017;15:78–86. https://doi.org/10.1109/msp.2017.27.Search in Google Scholar

10. Buntin, MB, Ayanian, JZ. Social risk factors and equity in Medicare payment. N Engl J Med 2017;376:507–10. https://doi.org/10.1056/nejmp1700081.Search in Google Scholar PubMed

11. Lees Haggerty, K, Epstein-Lubow, G, Spragens, LH, Stoeckle, RJ, Evertson, LC, Jennings, LA, et al.. Recommendations to improve payment policies for comprehensive dementia care. J Am Geriatr Soc 2020;68:2478–85. https://doi.org/10.1111/jgs.16807.Search in Google Scholar PubMed

12. Humbani, M, Wiese, M. A cashless society for all: determining consumers’ readiness to adopt mobile payment services. J Afr Bus 2018;19:409–29. https://doi.org/10.1080/15228916.2017.1396792.Search in Google Scholar

13. Liu, T, Pan, B, Yin, Z. Pandemic, mobile payment, and household consumption: micro-evidence from China. Emerg Mark Finance Trade 2020;56:2378–89. https://doi.org/10.1080/1540496x.2020.1788539.Search in Google Scholar

14. Einav, L, Finkelstein, A, Ji, Y, Mahoney, N. Voluntary regulation: evidence from Medicare payment reform. Q J Econ 2022;137:565–618. https://doi.org/10.1093/qje/qjab035.Search in Google Scholar PubMed PubMed Central

15. Sabrina, A, Siregar, I, Sosrohadi, S. Lingual dominance and symbolic power in the discourse of using the PeduliLindungi application as a digital payment tool. Int J Linguist Stud (IJLS) 2021;1:52–9. https://doi.org/10.32996/ijls.2021.1.2.8.Search in Google Scholar

16. Shaikh, AA, Hanafizadeh, P, Karjaluoto, H. Mobile banking and payment system: a conceptual standpoint. Int J E Bus Res 2017;13:14–27. https://doi.org/10.4018/ijebr.2017040102.Search in Google Scholar

Received: 2023-01-05
Accepted: 2023-04-14
Published Online: 2023-05-05

© 2023 Walter de Gruyter GmbH, Berlin/Boston

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