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面向推荐服务的消费者在线商品选择决策中的知识支持分析 被引量:5

Analysis of Recommendation Service-oriented Knowledge Support for Consumers' Online Selection and Decision of Commodities
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摘要 文章分析了消费者在线商品选择决策中的知识构成、来源以及知识支持机理,并对不同认知需求水平、性别的消费者在决策中依赖知识进行复杂的认知活动意愿进行了理论分析,在此基础上提出消费者接受与学习商品相关知识意愿的理论假设,并通过在线调研进行了实证分析,为未来的知识推荐服务提供了理论与实证依据。 This article analyzes the knowledge structure, source and knowledge support mechanism of the consumers in the online selection and decision of commodities, and gives a theoretical analysis of the willingness of the consumers with different cog- nitive requirement level and gender in relying on knowledge to conduct complex cognitive activities in decision. On this basis, the article puts forward the theoretical assumptions of the consumers' willingness in accepting and studying the related commodity knowledge, and makes an empirical analysis through online investigation and research, which provides the theoretical and empirical bases far the filtt^r~ knawl^tl~ r^earnra^nr^ti^n ~rvlp~
机构地区 南京理工大学
出处 《情报理论与实践》 CSSCI 北大核心 2013年第3期107-111,116,共6页 Information Studies:Theory & Application
基金 国家自然科学基金项目"消费者认知对电子商务推荐技术接受的影响机理研究"的成果 项目编号:71001052
关键词 商品 知识推荐 分析 电子商务 commodities knowledge recommendation analysis electronic commerce
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