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Urban Residents from the Perspective of Big Data Services Research on Evaluation Model of Network Risk Perception

In: Economic Management and Big Data Application Proceedings of the 3rd International Conference

Author

Listed:
  • Lei Han
  • Lulu Li

Abstract

In the era of big data, the perceived ability of urban residents to network risk also determines how urban residents use big data and network correctly. The ability and influencing factors of urban residents’ risk perception of the network society mainly come from network literacy, institutional asylum, trust maintenance and social media. Based on this background, this paper focuses on the impact of urban residents’ network literacy, system asylum, trust maintenance, social media and other factors on the maturity of network big data services and network risk perception through hierarchical regression method. Finally, the hypothesis is tested, and the evaluation model of urban residents’ networks risk perception is obtained through significance analysis.

Suggested Citation

  • Lei Han & Lulu Li, 2024. "Urban Residents from the Perspective of Big Data Services Research on Evaluation Model of Network Risk Perception," World Scientific Book Chapters, in: Sikandar Ali Qalati (ed.), Economic Management and Big Data Application Proceedings of the 3rd International Conference, chapter 64, pages 727-733, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789811270277_0064
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    More about this item

    Keywords

    Big Data; Information Management; Economic; Data Applications; Blockchain; E-commerce;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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