Understanding online health community users' information adoption intention: an elaboration likelihood model perspective

被引:0
|
作者
Zhou, Tao [1 ]
机构
[1] Hangzhou Dianzi Univ, Sch Management, Hangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Online health communities; Information adoption; Elaboration likelihood model; SOCIAL SUPPORT; TRUST; COMMERCE; ANTECEDENTS; INTEGRATION; CONSUMERS; BEHAVIOR;
D O I
10.1108/OIR-09-2020-0412
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Purpose The purpose of this research is to draw on the elaboration likelihood model (ELM) to examine users' information adoption intention in online health communities (OHC). Design/methodology/approach The authors collected 350 valid responses using a survey and conducted the moderated regression analysis to examine the research model. Findings The results indicated that users' information adoption intention is influenced by both central cues (argument quality) and peripheral cues (source credibility and emotional support). In addition, self-efficacy moderates the effect of both central cues and peripheral cues on information adoption intention. Originality/value Previous research has focused on the effect of individual motivations such as reciprocity and benefits on user behavior, and has seldom disclosed the influencing process of external factors on OHC users' behavioral decision. This research tries to fill the gap by adopting ELM to uncover the mechanism underlying OHC users' information adoption.
引用
收藏
页码:134 / 146
页数:13
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