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Enterprise Digital Management Efficiency under Cloud Computing and Big Data

Author

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  • Wei Tang

    (School of Economics and Management, Xi’an University of Technology, Xi’an 710054, China
    School of Accounting and Finance, The Open University of Shanxi, Xi’an 710119, China)

  • Shuili Yang

    (School of Economics and Management, Xi’an University of Technology, Xi’an 710054, China)

Abstract

In recent years, with the rapid development and popularization of information technology, digital management has become an indispensable part of enterprises. Digital management can improve enterprise efficiency, reduce cost, and optimize service, which is an important means for enterprises to realize transformation and upgrading and improve economic benefits. However, there are still many challenges and bottlenecks in the process of digital transformation. The emergence of cloud computing and big data technology also provides new ideas and methods for digital management. For this reason, this paper used cloud computing and big data to optimize the digital management efficiency of enterprises. It used a data envelopment analysis (DEA) model for analysis. The research results show that under the same other conditions, 140 people agreed and 160 people disagreed with the efficiency of enterprise digital management before optimization. There was no difference between the two. A total of 270 people agreed with the optimized digital management efficiency of the enterprise, while only 30 people disagreed. The significant increase in the number of people who agreed indicated that employees had a very high level of recognition for the efficiency of optimized digital management of the enterprise. These technologies have improved the efficiency of enterprise digital management and provided more practical, operable, and sustainable digital transformation solutions for enterprises.

Suggested Citation

  • Wei Tang & Shuili Yang, 2023. "Enterprise Digital Management Efficiency under Cloud Computing and Big Data," Sustainability, MDPI, vol. 15(17), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:13063-:d:1228845
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    References listed on IDEAS

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