Management System Engineering (May 2024)

Predicting the public’s seeking intention of COVID-19 risk information through the comparison of PRISM and expanded PRISM

  • Mei Liu,
  • Danli Xiong,
  • Mengru He

DOI
https://doi.org/10.1007/s44176-024-00029-8
Journal volume & issue
Vol. 3, no. 1
pp. 1 – 10

Abstract

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Abstract The applicability of the main theories of risk information seeking to novel risk scenarios is not well understood. According to Hovick, Kahlor, and Liang (Journal of Health Communication 19:511-527, 2014), this study retested the Planned Risk Information Seeking Model (PRISM) and examined the impact of additional variables on the model in order to investigate the critical factors (expanded PRISM) that affect people’s intention to seek information about COVID-19 risks and determine whether the PRISM model is more appropriate in this context than expanded PRISM based on survey data from 1031 Chinese adults. The results showed that PRISM fit the data better. Furthermore, future study should focus on two new variables: source beliefs and past information seeking. Theoretical and practical implications are considered.

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