Construction of Application Model of Accounting Framework Platform for Industry-Finance Integration Management under the Background of Multimedia Technology

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Abstract

With the rapid development of multimedia technology today, digital technology research has penetrated into various fields. Based on the integration of industry and finance, management accounting breaks the barriers of business and financial communication, makes business and financial processes penetrate each other, reduces financial levels, improves work efficiency, and helps enterprises create value and improve their core competitiveness. In recent years, with the continuous emergence of new technologies such as big data, cloud computing, and blockchain, how to rely on multimedia technology to effectively realize the platform model of management accounting aiming at "integration of industry and finance"is a difficult problem faced by enterprise management. Combined with the characteristics of multimedia technology, this paper embeds the neural network algorithm in the design of the model and matches the optimization and processing of management accounting in decision-making under the guidance of fuzzy theory. Business decision-making is the core of all the work of enterprise management. The formulation of its decision-making scheme involves all business fields of the enterprise. The implementation of the decision-making scheme directly affects the business performance of the enterprise. The correctness of the decision-making scheme is directly related to the success or failure of the enterprise. Extracting and utilizing the huge financial data generated during the daily management of the enterprise's financial department, a multimedia technology-based enterprise management accounting analysis model is designed and implemented.

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APA

Bian, W., & Bian, W. (2022). Construction of Application Model of Accounting Framework Platform for Industry-Finance Integration Management under the Background of Multimedia Technology. Mobile Information Systems, 2022. https://doi.org/10.1155/2022/1151226

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