金融科技行业采用区块链的因素:一种解释结构建模方法

IF 1.7 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Somya Gupta, Ganesh Prasad Sahu
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引用次数: 0

摘要

区块链技术(BT)正迅速成为最有前途的新兴经济创新之一。金融科技(FinTech)被区块链颠覆,其市场规模日益扩大。支付与银行密切相关,区块链在银行业已经非常有名。本研究旨在分析影响金融科技中采用区块链行为意愿的因素。从文献中提取了13个因素,随后使用解释结构模型(ISM)分析了这些变量之间的关系。该研究的概念模型是由区块链领域的学术专家建立和验证的。随后进行MICMAC分析,研究这些变量的驱动和依赖能力。区块链有各种挑战和机遇,但由于其优势,它的实施被推荐用于金融科技。根据我们的研究结果,区块链在金融科技领域的实施是必要的,因为它促进了数据隐私和可追溯性,并且比传统手段涉及更多的信任。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors of Blockchain Adoption for FinTech Sector: An Interpretive Structural Modelling Approach
Blockchain Technology (BT) is rapidly becoming one of the most promising emerging economy innovations. Financial Technology (FinTech) has been disrupted by blockchain, and its market size is growing by the day. Payments are closely related to banking, and blockchain has become very famous in the banking industry. This study aims to analyse the factors influencing behavioural intention to adopt blockchain in FinTech. Total 13 factors were extracted from the literature, and later relations among these variables were analysed using Interpretive Structural Modelling (ISM). The study's conceptual model was built and validated by academic experts working in blockchain. Later, MICMAC analysis was performed to study these variables' driving and dependence power. Blockchain has various challenges as well as opportunities but due to its advantages its implementation is recommended for FinTech. As per our results, the implementation of blockchain in FinTech is required as it promotes data privacy and traceability and involves more trust than traditional means.
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
22
审稿时长
4 weeks
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