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Journal of Library and Information Science in Agriculture ›› 2022, Vol. 34 ›› Issue (4): 30-40.doi: 10.13998/j.cnki.issn1002-1248.21-0811

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Research on the Influencing Factors of Adoption Intention of Information Technology for Pandemic Prevention Among the Elderly in Public Health Emergency

CHEN Jinghao1,3, LUO Qi2   

  1. 1. Research Center of Regional Social Governance and Innovation, Guangxi University, Nanning 530004;
    2. School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu 611731;
    3. Big Data Institute, Wuhan University, Wuhan 430072
  • Received:2021-10-23 Online:2022-04-05 Published:2022-05-24

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Abstract: [Purpose/Significance] This paper takes the elderly aged 60 and above in Guangxi as the research object to explore the factors that affect their adoption of information technology for pandemic prevention and control. It is helpful to improve the elderly's ability to apply information technology, and promote the construction and development of information technology to prevent a pandemic. [Method/Process] Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model, this paper added pandemic risk perception, technology anxiety, resistance to change as new variables to construct the model of influencing factors of the elderly's adoption intention of information technology for COVID-19 pandemic prevention and control, designed and collected 210 valid questionnaires, used SPSS 21.0 software to finish the descriptive statistical analysis, and used SmartPLS 3.0 software to finish the reliability and validity analysis of the questionnaires, and constructed a Structural Equation Model to verify the model. [Results/Conclusions] The study found that the risk perception, performance expectancy, effort expectancy, social influence and facilitating conditions had a significant impact on the elderly's behavioral intention of information technology for COVID-19 pandemic prevention and control , and technology anxiety, resistance to change had no significant impact on the behavioral intention. Finally, this paper puts forward countermeasures and suggestions based on the research findings.

Key words: COVID-19, health informatics, UTAUT, structural equation model

CLC Number: 

  • G206
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