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2023 , Vol. 67 >Issue 15: 25 - 34

DOI: https://doi.org/10.13266/j.issn.0252-3116.2023.15.003

SPECIAL TOPIC: The Research on Data Value and Data Innovation

Research on Influencing Factors and Paths for the Reduction of Users' Information Anxiety Drives the Realization of the Value of Medical and Health Big Data

  • Guo Yu ,
  • Zhang Chuanyang ,
  • Liu Mengting ,
  • Yu Wenqian
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  • 1 School of Business and Management, Jilin University, Changchun 130022;
    2 The Information Resource Research Center, Jilin University, Changchun 130022

Received date: 2022-12-27

  Revised date: 2023-04-13

  Online published: 2023-08-03

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Abstract

[Purpose/Significance] From the perspective of user information anxiety, this paper explores the relationship between user information anxiety relief and the realization of the value of medical and health big data, and analyzes the influencing factors and their combination paths of value realization, which is conducive to the development of China's medical and health industry in the new era.[Method/Process] Guided by the information anxiety theory and MOA theoretical framework, the study first proved that information anxiety reduction was conducive to the realization of the value of medical and health big data through random field experiments, and found the conditional variables that affect the realization of the value of medical and health big data. Then it collected relevant data through questionnaire survey, and analyzed its influencing factors and combination paths in detail using the fuzzy set qualitative comparison method.[Result/Conclusion] The study discusses the impact of different variable factors such as objective information environment, information quality cognition, information timeliness, information security, information retrieval ability, and information utilization ability on user information anxiety and the realization of medical and health big data value. Six combination paths are obtained, namely objective information environment deficiency type, opportunity driven motivation and ability fusion type, ability driven motivation and opportunity fusion type, and quality and safety compromise type under low ability, Missing information security elements type and type of time efficiency and safety compromise under low capacity. The combination path can provide element reference for medical service institutions to improve information construction, improve digital transformation and improve user experience.

Key words： information anxiety; medical and health big data; data value; random field experiment; configuration analysis

Cite this article

Guo Yu , Zhang Chuanyang , Liu Mengting , Yu Wenqian . Research on Influencing Factors and Paths for the Reduction of Users' Information Anxiety Drives the Realization of the Value of Medical and Health Big Data[J]. Library and Information Service, 2023 , 67(15) : 25 -34 . DOI: 10.13266/j.issn.0252-3116.2023.15.003

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