Please wait a minute...
文章检索
复杂系统与复杂性科学  2023, Vol. 20 Issue (4): 85-91    DOI: 10.13306/j.1672-3813.2023.04.012
  本期目录 | 过刊浏览 | 高级检索 |
平台推荐代理对消费者购买意愿的影响研究
闫俏秀1, 徐金灿2
1.人民日报社新媒体中心,北京 100733;
2.北京大学新媒体研究院, 北京 100871
The Influence of Platform Recommendation Agents on Consumer’s Purchase Intention
YAN Qiaoxiu1, XU Jincan2
1. People's Daily, Beijing 100733, China;
2. School of New Media, Peking University, Beijing 100871, China
全文: PDF(1844 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 为研究网购平台如何有效运用推荐代理激发消费者的购买意愿,首次从消费者特征、推荐代理特征和推荐代理平台特征这3方面探讨了其对消费者信任的影响,以及信任对消费者购买意愿的影响。采用问卷调查法,并利用结构方程模型分析法对假设进行验证。研究表明,平台推荐代理信息的准确性正向影响消费者的认知信任、情感信任以及购买意愿;推荐代理信息的多样性正向影响消费者的情感信任;网购平台可信度正向影响消费者的情感信任。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
闫俏秀
徐金灿
关键词 推荐代理信任购买意愿    
Abstract:Inorder to study how online shopping platforms can effectively use recommendation agents to stimulate consumers′purchase intention,for the first time, this paper discusses the impact of consumer characteristics, recommendation agent characteristics and platform characteristics of recommendation agents on consumers' trust, and the impact of trust on consumers' purchase intention. This paper used the questionnaire survey and the structural equation model analysis verify the hypothesis. The research shows that the accuracy of recommendation agents has a positive impact on consumers' cognitive trust, emotional trust and purchase intention; The diversity of recommendation agents positively affects consumers' emotional trust; The credibility of online shopping platforms positively affects consumers' emotional trust.
Key wordsrecommendation agents    trust    purchase intention
收稿日期: 2022-07-13      出版日期: 2023-12-28
ZTFLH:  F063.2  
通讯作者: 徐金灿(1968-),女,河南南阳人,博士,副教授,主要研究方向为品牌研究、消费行为、网络传播。   
作者简介: 闫俏秀(1994-),女,山西运城人,硕士,编辑,主要研究方向为网络传播、品牌研究。
引用本文:   
闫俏秀, 徐金灿. 平台推荐代理对消费者购买意愿的影响研究[J]. 复杂系统与复杂性科学, 2023, 20(4): 85-91.
YAN Qiaoxiu, XU Jincan. The Influence of Platform Recommendation Agents on Consumer’s Purchase Intention. Complex Systems and Complexity Science, 2023, 20(4): 85-91.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2023.04.012      或      https://fzkx.qdu.edu.cn/CN/Y2023/V20/I4/85
[1] XIAO B, BENBASAT I. E-commerce product recommendation agents: use, characteristics, and impact[J]. MIS Quarterly, 2007, 31(1):137-209.
[2] WANG H C, DOONG H S. Online customers' cognitive differences and their impact on the success of recommendation agents[J]. Information & Management, 2010, 47(2):109-114.
[3] 戴德宝,刘西洋,范体军.互联网+”时代网络个性化推荐采纳意愿影响因素研究[J].中国软科学,2015,8:163-172.
DAI D B, LIU X Y, FAN T J. Research on the adoption intention of online personalized recommender in the internet plus era[J]. China Soft Science, 2015, 8:163-172.
[4] 刘华真,王巍,谷壬倩,等.基于用户浏览行为的个性化推荐研究综述[J].计算机应用研究,2021,38(8):2268-2277.
LIU H Z, WANG W, GU R Q, et al. Survey of personalized recommendation study based on user browsing behavior[J]. Application Research of Computers, 2021, 38(8):2268-2277.
[5] GOLDBERG D, NICHOLS D, OKI B M, et al. Using collaborative filtering to weave an information tapestry[J]. Communications of the ACM, 1992, 35(12):61-70.
[6] WANG W, BENBASAT I. Trust in and adoption of online recommendation agents[J]. Journal of the Association for Information Systems, 2005, 6(3):72-100.
[7] 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,2009,39:138-148.
CHEN M L, CAI R M. The impact of e-commerce product recommendation agent on consumer decision making[J]. Journal of Zhejiang University, 2009, 39:138-148.
[8] 蔡国良,陈瑞,赵平.消费者产品知识和信息推荐代理对品牌忠诚度的影响研究[J].中国软科学, 2016,10:123-134.
CAI G L, CHEN R, ZHAO P. Research on the influence of consumer knowledge and information recommendation agent on brand loyalty[J]. China Soft Science, 2016, 10:123-134.
[9] Mcallister D J. Affect- and cognition-based trust as foundations for interpersonal cooperation in organizations[J]. Academy of Management Journal, 1995, 38(1):24-59.
[10] LEWIS J D, WEIGERT A. Trust as a social reality[J]. Social Forces, 1985, 63(4):967-985.
[11] CHUA R Y J, INGRAM P, MORRIS M W. From the head and the heart: locating cognition- and affect-based trust in managers' professional networks[J]. Academy of Management Journal, 2008, 51(3):436-452.
[12] KOMIAK S Y X, BENBASAT I. The effects of personalization and familiarity on trust and adoption of recommendation agents[J]. MIS Quarterly, 2006, 30(4):941-960.
[13] SWAMINATHAN V. The impact of recommendation agents on consumer evaluation and choice: the moderating role of category risk, product complexity, and consumer knowledge[J]. Journal of Consumer Psychology, 2003, 13(1-2):93-101.
[14] 王晓萍,刘红霞.感知风险、信任对网络购物意愿影响的模型研究[J].经济论坛,2008,15:63-65.
WANG X P, LIU H X. A model study on the impact of perceived risk and trust on online shopping intention[J]. Economic Forum, 2008, 15:63-65.
[15] HOFFMAN L, NOVAK T, PERALTA M. Building consumer trust online[J]. Communications of the ACM CACM Homepage, 1999, 42(4):80-85.
[16] HOSTLER R E, YOON V Y, GUIMARAES T. Recommendation agent impact on consumer online shopping: the movie magic case study[J]. Expert Systems with Applications, 2012, 39(3):2989-2999.
[17] MCNEE S M, RIEDL J, KONSTAN J A. Making recommendations better: an analytic model for human-recommender interaction[C]// Extended Abstracts Proceedings of the 2006 Conference on Human Factors in Computing Systems, Montréal, Québec, Canada, 2006.
[18] 宋辉.电子商务推荐系统用户采纳影响因素研究[D].哈尔滨:哈尔滨工业大学,2011年.
SONG H. The adoption factors of e-commerce recommendation system[D]. Harbin: Harbin Institute of Technology, 2011.
[19] WEST P M, DAN A, BELLMAN S, et al. Agents to the rescue?[J]. Marketing Letters, 1999, 10(3):285-300.
[20] 江若尘,徐冬莉,严帆.网络团购中感知风险对信任及购买意愿的影响[J].现代财经,2013,33:87-96.
JIANG R C, XU D L, YAN F. The effect of perceived risk on trust and purchase intention in online group-buying[J]. Modern Finance and Economics-Journal of Tianjin University of Finance and Economics, 2013, 33:87-96.
[21] WANG W, QIU L, KIM D, et al. Effects of rational and social appeals of online recommendation agents on cognition- and affect-based trust[J]. Decision Support Systems, 2016, 86(C):48-60.
[1] 李超然, 刘举胜, 宋美, 韩景倜, 于长锐. 演化博弈视角下的医患关系分析及对策研究[J]. 复杂系统与复杂性科学, 2022, 19(3): 44-54.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed