Analyzing enterprise asset structure and profitability using cloud computing and strategic management accounting

Shi, Wenquan and Trinidad Segovia, J. E. (2021) Analyzing enterprise asset structure and profitability using cloud computing and strategic management accounting. PLOS ONE, 16 (9). e0257826. ISSN 1932-6203

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Abstract

The study expects to further exploring the role of asset structure in enterprise profitability, and analyze the relationship between them in detail. Taking the express industry as the research object, from strategic management accounting, the study uses edge computing and related analysis tools and compares the financial and non-financial indicators of existing express enterprises. The study also discusses the differences between asset structure allocation and sustainable profitability, and constructs the corresponding analysis framework. The results reveal that SF’s total assets are obviously large and the profit margin increases. While the total assets of other express enterprises are small, and the express revenue drops sharply. Heavy assets can improve the enterprises’ profitability to a certain extent. SF has a good asset management ability. With the support of the capital market, SF’s net asset growth ability has been greatly improved. The edge computing method used has higher local data processing ability, and the analysis framework has higher performance than the big data processing method. The study can provide some research ideas and practical value for the asset structure analysis and profitability evaluation of express enterprises.

Item Type: Article
Subjects: Journal Eprints > Geological Science
Depositing User: Managing Editor
Date Deposited: 22 Feb 2023 06:09
Last Modified: 12 Mar 2024 04:11
URI: http://repository.journal4submission.com/id/eprint/858

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