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首页> 外文期刊>International journal of human-computer interaction >Search Engine or Content Website? A Local Information Seeking Classification Model Based on Consumer Characteristics and Website Perceptions
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Search Engine or Content Website? A Local Information Seeking Classification Model Based on Consumer Characteristics and Website Perceptions

机译：搜索引擎还是内容网站？基于消费者特征和网站感知的本地信息搜索分类模型

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摘要

Decisions concerning everyday life activities such as patronizing restaurants require obtaining information about them. Some consumers go directly to content websites when they need such information; others go directly to search engines. How do search engine users differ from content website users for a given type of local information? This local information-seeking classification model posits that they differ in their prior experiences with their "go-to" websites, their perceived search skills, their habit of using search engines, their involvement with the activity for which information is sought, their tendency to conduct extensive information search, and their beliefs about their "go-to" website types. Empirical results support the model. By integrating everyday life information seeking (ELIS), technology acceptance model (TAM), and consumer behavior literatures, the model in this study fills a theoretical gap in the literature and opens new lines of inquiries for both ELIS and TAM research.
机译：关于日常生活活动（例如光顾餐馆）的决定需要获取有关这些活动的信息。一些消费者在需要此类信息时会直接进入内容网站；其他人直接去搜索引擎。对于给定类型的本地信息，搜索引擎用户与内容网站用户有何区别？这种本地的信息搜索分类模型认为，他们在“访问”网站的以往经验，感知的搜索技能，使用搜索引擎的习惯，对信息搜索活动的参与程度，进行广泛的信息搜索，以及他们对“访问”网站类型的信念。经验结果支持该模型。通过整合日常生活信息搜索（ELIS），技术接受模型（TAM）和消费者行为文献，本研究中的模型填补了文献中的理论空白，并为ELIS和TAM研究开辟了新的询问渠道。

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