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Theoretical analysis framework of a shared economy supervision and management model using mobile information system data

  • S.I.: Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA-2021)
  • Published:
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Abstract

Through the use of Internet of Things technology, users and suppliers can be freely matched, and their idle resources can be traded in the display world to improve product utilization. A sharing economy means that organizations or individuals with idle resources transfer the right to use these resources to others for rewards; thus, sharers create value by sharing their idle resources with others. However, the development time of the sharing economy is short, and the entire development model has shortcomings. This paper aims to study innovation research on the sharing economy supervision mode based on mobile information systems. It links the mobile information system with the sharing economy model and regulates the sharing economy development model. A mobile information system is a model that reflects the internal structure of an information system and the connections between its parts. It generally refers to the structural model of an information system; thus, it is usually represented by a structural diagram. This paper proposes a theoretical analysis framework based on mobile information systems, which provides a theoretical basis for the exploration of the sharing economy. Starting from the intersection of supervision, this paper first discusses the rationality of the implementation of internet sharing economy supervision and points out the problems that exist in the development of the sharing economy. The test results of this paper show that only 18% of people think that the price of online car-hailing is high, and only 7.7% of people think that the price of online car-hailing is very high; these results indicate that the current price of shared transportation needs to be increased.

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Correspondence to Song Wang.

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Wang, S. Theoretical analysis framework of a shared economy supervision and management model using mobile information system data. Neural Comput & Applic (2022). https://doi.org/10.1007/s00521-022-07831-z

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