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

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  • Wenquan Shi

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.

Suggested Citation

  • Wenquan Shi, 2021. "Analyzing enterprise asset structure and profitability using cloud computing and strategic management accounting," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-21, September.
    • Handle: RePEc:plo:pone00:0257826
    DOI: 10.1371/journal.pone.0257826
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    References listed on IDEAS

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    1. Qamar Farooq & Peihua Fu & Yunhong Hao & Tchamy Jonathan & Yanni Zhang, 2019. "A Review of Management and Importance of E-Commerce Implementation in Service Delivery of Private Express Enterprises of China," SAGE Open, , vol. 9(1), pages 21582440188, January.
    2. Liyun Lin & Haoying Han & Wanglin Yan & Shun Nakayama & Xianfan Shu, 2019. "Measuring Spatial Accessibility to Pick-Up Service Considering Differentiated Supply and Demand: A Case in Hangzhou, China," Sustainability, MDPI, vol. 11(12), pages 1-22, June.
    3. Malin Song & Shuhong Wang & Kaiya Wu, 2018. "Environment-biased technological progress and industrial land-use efficiency in China’s new normal," Annals of Operations Research, Springer, vol. 268(1), pages 425-440, September.
    4. Liu, Zhe & Adams, Michelle & Cote, Raymond P. & Chen, Qinghua & Wu, Rui & Wen, Zongguo & Liu, Weili & Dong, Liang, 2018. "How does circular economy respond to greenhouse gas emissions reduction: An analysis of Chinese plastic recycling industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1162-1169.
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    Cited by:

    1. Teresa Martyniuk & Mykola Bondar & Marzena Remlein & Olena Tsiatkovska & Nataliia Ostapiuk, 2024. "Accounting of infrastructure assets of state institutions as an element of sustainable development goals," RIVISTA DI STUDI SULLA SOSTENIBILITA', FrancoAngeli Editore, vol. 0(1), pages 193-207.
    2. Lindong Ma & Xihui Chen & Jiawen Zhou & Luigi Aldieri, 2022. "Strategic Management Accounting in Small and Medium-Sized Enterprises in Emerging Countries and Markets: A Case Study from China," Economies, MDPI, vol. 10(4), pages 1-23, March.
    3. Anca Antoaneta Vărzaru & Claudiu George Bocean & Mădălina Giorgiana Mangra & Gabriel Ioan Mangra, 2022. "Assessing the Effects of Innovative Management Accounting Tools on Performance and Sustainability," Sustainability, MDPI, vol. 14(9), pages 1-16, May.

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