个性化推荐对读者网络阅读决策影响模型的构建被引量：1

Construction of the impact model of personalized recommendation on reader’s decision-making in online reading

下载PDF

导出

摘要文章借鉴已有的个性化推荐对用户行为影响模型研究,引入技术接受模型中的认知价值和信任对用户行为的中介作用关系,构建个性化推荐服务对阅读决策的影响模型,具体从个性化推荐服务自身特性、网站平台特性、用户特性和交互特性4个方面分析读者网络阅读决策的影响指标体系,并对指标的合理性进行检验。 This paper constructs the impact model of personalized recommendation service on reading decision-making by drawing on the experience of existing impact models of personalized recommendation on consumer behavior and in. troducing the Technology Acceptance Model’s point about that cognitive value and trust intermediately affect user be. havior.It also analyses the influencing index system of reader’s online reading decision-making from the four aspects of personalized recommendation service: own characteristics,web platform characteristics,user characteristics and interac. tion characteristics. In addition, testing the rationality of indicators in the models has been done.

作者吴海波 Wu Haibo(Library and Information Service Center,Lishui University,Lishui 323000,China)

机构地区丽水学院图书与信息服务中心

出处《江苏科技信息》 2019年第16期1-6,共6页 Jiangsu Science and Technology Information

基金浙江省高校图书情报工作委员会2018年科研资助项目项目名称:个性化推荐对读者网络阅读决策的影响研究项目编号:浙高图秘字(2018)6号2018012

关键词个性化推荐阅读决策影响模型 personalized recommendation reading decision-making impact model

分类号 G252 [文化科学—图书馆学]

引文网络
相关文献

参考文献1

1陈明亮,蔡日梅.电子商务中产品推荐代理对消费者购买决策的影响[J].浙江大学学报（人文社会科学版）,2009,39(5):138-148. 被引量：40

二级参考文献22

1B, Xiao & I. Benbasat, “E-commerce Product Recommendation Agents: Use, Characteristics, and Impact,” MIS Quarterly, Vol. 31 ,No. 1(2007) ,pp. 137 - 209.
2J. W. Payne, “Contingent Decision Behavior,” Psychological Bulletin, Vol. 2, No. 92 (1982), pp. 382 - 402.
3G. Haubl & K.B. Murray, “Preference Construction and Persistence in Digital Marketplaces: The Role of Electronic Recommendation Agents,” Journal of Consumer Psychology ,Vol. 13 ,No. 1 - 2(2003) ,pp. 75 - 91.
4T. Kramer, “The Effect of Measurement Task Transparency on Preference Construction and Evaluations of Personalized Recommendations,” Journal of Marketing Research ,Vol. 44 ,No. 2(2007), pp. 214 - 223.
5G. Haubl & V. Trifts, “Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids,” Marketing Science ,Vol. 1 ,No. 19(2000) ,pp. 4 - 21.
6R. E. Pereira, “Influence of Query-Based Decision Aids on Consumer Decision Making in Electronic Commerce,” Information Resources Management Journal, Vol. 1, No. 14(2001 ), pp. 31 - 48.
7R. E. Hostler, V. Y. Yoon & T. Guimaraes, “Assessing the Impact of Internet Agent on End Users' Performance,” Decision Support Systems, Vol. 41 ,No. 1(2005) ,pp. 313 - 325.
8H. S. Bansal & P. A. Voyer, “World-of-Mouth Processes Within a Services Purchase Decision Context,” Journal of Service Research, Vol. 3, No. 2(2000) ,pp. 166 - 177.
9F. D. Davis, R. P. Bagozzi & P. R. Warshaw, “User Acceptance of Computer-Technology: A Comparison of Two Theoretical Models,” Management Science, Vol. 35, No. 8(1989), pp. 982 - 1003.
10D. Gefen, E. Karahanna & D. W. Straub, “Trust and TAM in Online Shopping: An Integrated Model,” MIS Quarterly, Vol. 27, No. 1(2003) ,pp. 51 - 90.