RETRACTED ARTICLE: A hybrid approach for risk analysis in e-business integrating big data analytics and artificial intelligence

Abstract

The main job of the e-business professional is to produce appropriate and trustworthy financial data. The solid internal controlling systems and the ethics and integrity of administration and staff depend significantly on the accuracy and relevancy of financial reports. This article demonstrates how Artificial Intelligence interacts with internal controlling systems creatively to assist managers in creating quality financial data by minimizing the risk of loss. A risk analysis approach for e-business is proposed in this article. Even though various kinds of research suggested in accountancy utilizing artificial intelligence, none of these proved explicitly how data risks were reduced via AI technology. The analysis benefits organizations save considerable expenses and losses by providing reliable financial data, helping managers decide effectively, and enhancing firms' efficiency. This article offers a concept of utilizing artificial intelligence to automate the removal of the vulnerability of internal monitoring systems by all types of businesses. It decreases the risk control, identification, and reporting quality through managing the risk of information reporting by offering the highest risk prediction accuracy of 89% and the precision ratio of 91% compared to the existing models.

The Cross-Postgraduate Training Mode Driven by Intelligent Signal Processing Technology: Taking the Major of Finance as an Example

“…Technology. During the eight years from 2011 to 2018, the nonperforming loan balance of my country's commercial banks increased from 427.9 billion yuan to 1,957.1 billion yuan, of which the nonperforming loan balance in June 2018 increased by 357% compared with December 2011; the nonperforming loan ratio increased from 1% to 1.86%, showing an overall upward trend [31]. Judging from the trend in recent years, traditional financial institutions have many problems in risk management due to insufficient attention to system and process construction, insufficient ability to monitor default risks in a timely manner, and the lack of a systematic risk early warning mechanism.…”

Analysis of the application of artificial intelligence technology in the protection of corporate governance rights and interests

“… Zhang et al (2021) proposed a hybrid approach for risk analysis in an e-business environment. The artificial intelligence (AI) technique is used in the proposed approach to finding out the integrity rate in e-business.…”

“…Experimental results show that the proposed approach improves internal control and auditing effectiveness in the IoT environment. Zhang et al (2021) proposed a hybrid approach for risk analysis in an e-business environment. The artificial intelligence (AI) technique is used in the proposed approach to finding out the integrity rate in e-business.…”

Boosting Innovation Performance through Big Data Analytics Powered by Artificial Intelligence Use: An Empirical Exploration of the Role of Strategic Agility and Market Turbulence

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“…In addition, market-based policies are quickly being adopted by emerging economies in an effort to boost economic growth and reduce poverty [15]. Businesses in such economies must adapt quickly to new market conditions, heightened environmental unpredictability, and uneven growth [19]. Prior research revealed that "supply chains are multi-structural semantics and often have interrelated structures" (i.e., organizational, functional, informational, financial, topological, technological, product, and energy structures), all of which are in constant flux due to both predetermined and unforeseen factors [23].…”