Framework of the Smart Finance and Accounting Management Model under the Artificial Intelligence Perspective

Abstract

With the establishment of modern enterprise systems and the emergence of some large-scale enterprise groups formed through asset reorganization, industry alliances, and cross-industry mergers, new requirements have been put forward for the financial management mode of enterprise groups. This article mainly studies the development of the smart accounting management model architecture under the artificial intelligence perspective. On the accounting sharing service platform, the accounting sharing center does not belong to the logistics branch of any region. Through the accounting sharing center, it provides unified and standardized accounting, asset management, currency revenue and expenditure, etc., for the branches of the logistics company. At the same time, in the network environment, the financial and accounting sharing platform is not unilaterally closed. As each branch under unified management, it has the power to feedback, suggest, and supervise the financial and accounting sharing platform. When testing, one only needs to focus on the external properties of the program, without considering the internal logical structure and internal characteristics of the program at all. The system under test is regarded as a sealed black box, and the boundary value analysis method, the equivalence class division method, and causality are used. Technical methods such as the graph method and error speculation method are tested at the system interface to detect whether the function of each test can receive and output the results correctly. The implementation of the accounting management model of accounting shared services must ensure that the evaluation results of related work are objective and accurate. It is necessary to ensure that the evaluation index system has a high degree of quantification. In the specific scoring, the full score system can be used to score points by experts to ensure the objectivity of the evaluation results and accuracy while improving the operability and enforceability of the evaluation work. The average value of the operating net profit margin is 0.088731, and the median value is 0.082263. The results show that artificial intelligence technology has greatly promoted the development of the smart accounting management model architecture.

Socio‐technical issues in the platform‐mediated gig economy: A systematic literature review: An Annual Review of Information Science and Technology (ARIST) paper

“…Such an approach allows researchers to explore the ways in which complex phenomena, such as the gig economy, operate and generate intended and unintended consequences. As well, research that makes use of this perspective can “be extended to provide practical recommendations for the design of a flexible, technology‐rich work environment” (Chen & Nath, 2008, p. 44). Hence, this paper critically reviews the extent to which socio‐technical thinking has been brought to a new domain—the gig economy.…”

“…In complex organizations there are always two socio‐technical subsystems, one is technical and the other social (see Figure 1). The former includes the hardware, software, processes, and functionalities that combine to turn system inputs into outputs (Chen & Nath, 2008), requiring an analysis of the physical infrastructure. The latter includes the people who design, implement, operate, maintain, and use the technical subsystem, their relationships with each other and those in the organizational hierarchy, the organizational roles, rules, and responsibilities involved in this work, and the organizational culture and patterns of use, requiring an analysis of the social settings in which the system is embedded.…”

A Deep Machine Learning-Based Assistive Decision System for Intelligent Load Allocation under Unknown Credit Status

“…This not only brings greater capital pressure to banks but also increases some uncertain financial risk for banks [ 5 , 6 ]. Because the operation status and qualification of many enterprises are diverse, a great challenge is posed to the later management of banks [ 7 , 8 ]. Therefore, how to calculate the optimal loan schemes that can maximize profit or minimize risk for banks under limited capital, serves as an important problem [ 9 , 10 ].…”

“…is not only brings greater capital pressure to banks but also increases some uncertain nancial risk for banks [5,6]. Because the operation status and quali cation of many enterprises are diverse, a great challenge is posed to the later management of banks [7,8].…”

Integrated Evaluation of Financial Risk in Coal Industry Restructuring: A Model of Linear Regression and PCA

“…As the two main bodies of transaction completion, where are the reasonable boundaries of enterprises and markets? is is a question that has been raised and explored in the economic management theory and practice in recent decades [1][2][3][4][5]. In the actual operation of enterprises, on the one hand, chain enterprises are popular, and enterprises are constantly "slimming down," replacing the potential operating costs of enterprises with market transactions.…”