基于信息觅食理论的消费者在线评论搜索行为研究OA北大核心CHSSCDCSSCICSTPCD
Research on Consumer Online Review Search Behavior Based on Information Foraging Theory
[目的/意义]本研究旨在从信息觅食理论出发,分析点评类软件消费者在线评论搜索行为的内在机理.[方法/过程]以信息觅食理论为基础,围绕信息线索、斑块模型和菜单模型构建了消费者在线评论搜索行为模型.采用问卷调查法收集 352 份有效样本数据,并利用结构方程模型对理论模型进行分析与检验.[结果/结论]评论内容质量、评论丰富性、评论效价以及评论者资信度 4 类信息线索均会正向显著影响消费者斑块收益感知,进而正向影响消费者在线评论搜索行为.此外,评论效价也会直接正向显著影响消费者在线评论搜索行为.本研究在理论层面深入揭示了消费者在线评论搜索行为的内在机理,延伸了信息觅食理论的研究情境与边界;在实践层面为点评类软件的功能优化及引导消费者有效搜索在线评论提供了相关建议.
[Purpose/Significance]Based on the information foraging theory,this study aims to analyze the internal mechanism of consumer online review search behavior of review software.[Method/Process]Based on information foraging theory,this study firstly constructed a behavioral model of online review search by using information clues,patch model and menu model.In addition,the study adopted the questionnaire as the research method and collected 352 valid samples.Finally,the study used the SEM to analyze the data and then test the theoretical model.[Result/Conclusion]Four types of information clues,including the quality of reviews'contents,the variety of reviews,the sentiment of reviews and the credibility of reviewers,would positively and significantly affect consumers'perception of patch benefit,and then positively affect consumer online review search behavior.In addition,the sentiment of reviews would also directly and positively affect consumers'online review search behavior.This study,in theory,deeply reveals the internal mechanism of consumer online review search behavior,and extends the research context and boundary of information foraging theory.In practice,some suggestions are provided to optimize the function of review software and guide consumers to search online reviews effectively.
韩正彪;高一超;文经纬;王敏然
南京农业大学信息管理学院, 江苏 南京 210095
信息觅食消费者在线评论搜索行为信息线索收益感知
information foraging theoryconsumeronline reviewinformation search behaviorinformation cluebenefit perception
《现代情报》 2024 (005)
70-82,152 / 14
国家自然科学基金青年项目"建构主义视角下学术用户网络信息搜索中的学习机制及效用研究"(项目编号:71904086);南京农业大学省级SRT项目"消费者评论信息觅食行为实验研究"(项目编号:202210307153Y).
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