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The novel thinking exploration model for Blockchain Technology Financial Sharing Services

Xusheng Chen & P. C. Lai

Journal of Information Systems and Technology Management2023https://doi.org/10.4301/s1807-1775202320005article
ABDC C
Weight
0.62

What the paper says

This paper will explore the novel thinking for blockchain technology financial sharing services in China. It will explain the formation of a shared service center and the key success factors. Then will discuss the financial decision-making for payment business process in financial sharing services, the financial sharing dangers, and solutions as well as the notions to solve the hidden danger of financial sharing, and try to carry out model design and performance evaluation. In this chapter, the blockchain thinking mode of the financial sharing service concept involves consensus thinking, the coexistence of distribution, and concentration with code as a priority. The blockchain method for financial sharing services is to identify participants on the blockchain and establish a consensus mechanism, use code to effectively control the business transactions, and zone storage mode to realize the effective connection between business transactions and financial sharing and financial sharing service based on alliance chain network. The benefits are useful for Technical & Vocational Education and Training (TVET).

9 citations

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Cite this paper

https://doi.org/https://doi.org/10.4301/s1807-1775202320005

Or copy a formatted citation

@article{xusheng2023,
  title        = {{The novel thinking exploration model for Blockchain Technology Financial Sharing Services}},
  author       = {Xusheng Chen & P. C. Lai},
  journal      = {Journal of Information Systems and Technology Management},
  year         = {2023},
  doi          = {https://doi.org/https://doi.org/10.4301/s1807-1775202320005},
}

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Evidence weight

0.62

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.68 × 0.4 = 0.27
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.