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Understanding first aid knowledge adoption on social media with an extended information adoption model

  • Xiumei Ma
  • , Yongqiang Sun
  • , Xitong Guo
  • , Kee Hung Lai
  • , Peng Luo*
  • *Corresponding author for this work
  • School of Public Administration
  • Hong Kong Polytechnic University
  • Wuhan University
  • School of Management, Harbin Institute of Technology
  • Sichuan University

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: Social media provides a convenient way to popularise first aid knowledge amongst the general public. So far, little is known about the factors influencing individuals’ adoption of first aid knowledge on social media. Drawing on the information adoption model (IAM), this study investigates the joint effects of cognitive factors (e.g. perceived information usefulness (PIU)), affective factors (e.g. arousal (AR)) and social factors (e.g. descriptive norms (DN)) on first aid knowledge adoption (KA) and examines their antecedent cues from the perspective of information characteristics. Design/methodology/approach: The data were collected from 375 social media users, and the structural equation model was adopted to analyse the results. Findings: The results indicate that PIU, AR and DN all have positive direct effects on first aid KA. Additionally, the study highlights the positive synergistic effect of AR and PIU. Furthermore, the study suggests that AR is determined by message vividness (MV) and emotional tone (ET), whilst DN are determined by peer endorsement (PEE) and expert endorsement (EXE). Originality/value: Our research is groundbreaking as it delves into the adoption of first aid knowledge through social media, thus pushing the boundaries of existing information adoption literature. Additionally, our study enhances the IAM by incorporating emotional and social elements and provides valuable insights for promoting the spread of first aid knowledge via social media.

Original languageEnglish
Pages (from-to)567-593
Number of pages27
JournalInternet Research
Volume35
Issue number2
DOIs
StatePublished - 18 Mar 2025
Externally publishedYes

Keywords

  • Arousal
  • Descriptive norms
  • First aid knowledge
  • Information adoption model
  • Social media

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