An Evaluation of the Financial Impact on Business Performance of the Adoption of E-Business via Blockchain Technology

IF 0.5 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Zecheng Yin, Yu Yang
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引用次数: 1

Abstract

Investors can learn a lot about the health of a firm by looking at its FP (financial performance). For investors, it offers a glimpse into the company's financial health and performance, as well as a forecast for the stock's performance in the future. Certain criteria, including liquidity, ownership, maturity, and size, have been linked to financial success. Blockchain provides several benefits in the logistics business, including increased trust in the system owing to improved transparency and traceability and cost savings by removing manual and paper-based administration. The study uses the FP-BCT technique, a new approach to measuring company performance. However, e-business helps expand data exchange, aspects, and data quantity. Improving processing capabilities impacts the macroeconomic and financial environments, reducing economic activity, ensuring timely implementation of information, and decreasing costs.
通过区块链技术采用电子商务对企业绩效的财务影响评估
投资者可以通过观察FP(财务表现)来了解公司的健康状况。对于投资者来说,它提供了一个对公司财务状况和业绩的一瞥,以及对该股未来表现的预测。某些标准,包括流动性、所有权、成熟度和规模,已经与财务成功联系在一起。区块链为物流业务提供了几个好处,包括由于提高了透明度和可追溯性而增加了对系统的信任,并通过取消手动和纸质管理节省了成本。本研究采用FP-BCT技术,这是一种衡量公司绩效的新方法。然而,电子商务有助于扩展数据交换、方面和数据量。提高处理能力会影响宏观经济和金融环境,减少经济活动,确保及时实施信息,降低成本。
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来源期刊
International Journal of Data Warehousing and Mining
International Journal of Data Warehousing and Mining COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
2.40
自引率
0.00%
发文量
20
审稿时长
>12 weeks
期刊介绍: The International Journal of Data Warehousing and Mining (IJDWM) disseminates the latest international research findings in the areas of data management and analyzation. IJDWM provides a forum for state-of-the-art developments and research, as well as current innovative activities focusing on the integration between the fields of data warehousing and data mining. Emphasizing applicability to real world problems, this journal meets the needs of both academic researchers and practicing IT professionals.The journal is devoted to the publications of high quality papers on theoretical developments and practical applications in data warehousing and data mining. Original research papers, state-of-the-art reviews, and technical notes are invited for publications. The journal accepts paper submission of any work relevant to data warehousing and data mining. Special attention will be given to papers focusing on mining of data from data warehouses; integration of databases, data warehousing, and data mining; and holistic approaches to mining and archiving
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