Abstract
With the rapid development of Internet and information technology, e-commerce market has shown a rapid development momentum. Online trading environment of the virtual, making the network trust perception of consumer online shopping decision-making very influential. The social media network application platform is undoubtedly the enterprise used to promote the relationship between consumers and enhance the trust of one of the most convenient channels. Therefore, it is of great significance to explore the factors that influence consumers’ online shopping decisions in the social media network. On the basis of predecessors’ research, this paper explores the influence of consumers’ cognitive ability, relationship intensity and interaction on the decision-making of consumers’ online shopping in the social media network from the perspective of network trust. And through the Sina real micro-blog data on the hypothesis of the regression analysis.
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30 November 2022
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s10586-022-03842-6
References
Sogou encyclopedia. Social media. [EB/OL]. http://baike.sogou.com/v8021982.htm
Xiaodong, Zhang, Min, Zhu: Study on the Influence of Internet Word-of-mouth on Consumers’ Purchase Behavior [J]. Consum. Econ. 3, 15–22 (2011)
Romm Livermore, Celia. Social Networking Communities and E-Dating Services: Concepts and Implications. IGI Global:2008-06-15
Yongjun, Li: Online social network topological characteristics analysis complex systems and complexity. Science 9(3), 22–37 (2012)
Jingjing, Zhou: Research on the Influence of Online Customer Reviews on Consumer Purchasing Decisions. Zhejiang University, Hangzhou (2011)
Wei, Xiao, Luo, Xiangfeng, Li, Qing, Zhang, Jun, Zheng, Xu: Online comment-based hotel quality automatic assessment using improved fuzzy comprehensive evaluation and fuzzy cognitive map. IEEE Trans. Fuzzy Syst. 23(1), 72–84 (2015)
Tian, RunHu, Zhang, Yanbin, Jia, Lixin: The realization of multi agent based online trading systems based on J2EE technology. Comput. Syst. Sci. Eng. 31(6), 445–451 (2016)
Ford, G.T., Smith, D.B., Swasy, J.L.: An empirical test of the search, experience and credence attributrs framework. Adv. Consum. Res. 15, 239–243 (1988)
Liwei, Huang, Deyi, Li: The information in the social media is recommended[J]. J. intell. Syst. 7(1), 1–8 (2012)
China Electronic Commerce Research Center. China e - commerce market data in 2014 monitoring report [EB/OL].
Xi, Zhang: Microblog marketing. Manag. World 11(2), 87–92 (2010)
Kaplan, A.M., Haenlein, M.: The early bird catches the news:nine things you should know about micro-blogging. Bus. Horiz. 54, 105–113 (2011)
Zhao, Q., LU, K., Wang, B.: SPCF: a memory-based collaborative filtering recommendation algorithm for communication history. Acta Comput. Sin 36(3), 67–74 (2011)
Zheng, X.: Online Reviews Empirical Study of the Impact of Network Consumers Purchase Decision. Renmin university of China, Beijing (2008)
Jingming, Zhuang, Mingwen, Wang, Maosheng, Ye: Agricultural information recommendation system based on content filtering. Comput. Eng. 38(11), 38–41 (2012)
Huang Chuangguang, Y.I.N., Jian, W.A.N.G.Jing, et al.: Second-filtering recommendation algorithm for uncertain neighbors. Chin. J. Comput. 33(8), 1369–1377 (2010)
Yannan, Zhao, Jing, Dong, Jialiang, Dong: Based on the socialization of the blog label recommended method. Comput. Eng. Des. 33(12), 4609–4613 (2012)
Bingjia, Shao, Zhixin, Gao, Lei, Shi: Consumers of social networking sites: an empirical study of factors affecting shopping attitude. Intell. Mag. 29(08), 203–207 (2010)
Hong, Yu., Zhuanyun, Li: Collaborative filtering recommendation algorithm based on forgetting curve. J. Nanjing Univ. (natural science edition) 46(05), 520–527 (2010)
Yiran, Gu, Min, Chen: A method of weighting the time of marking in the department of the king. Comput. Sci. 39(8), 96–98 (2012)
Zhu Lizhong, Xu, Xiujuan, Liu Yu.: Collaborative filtering recommendation algorithm based on project and trust. Comput. Eng. 39(01), 58–62 (2013)
Santos, Helis Cristina Zanuto Andrade, da Silva, Claudeci, Araujo, Thais Andreia, de Souza, Eliane, de Araújo, Cristina: Empirical analysis on the determinants of FDI in Brazil for the period of the post 1990. Transnatl. Corpor. Rev. 9(3), 218–231 (2017). https://doi.org/10.1080/19186444.2017.1362858
Mohiuddin, Muhammad, Mazumder, Mohammad Nurul Huda, Chrysostome, Elie, Zhan, Su: Relocating high-tech industries to emerging markets: case of pharmaceutical industry outsourcing to India. Transnatl Corpor. Rev. 9(3), 201–217 (2017)
Ludeña, Miguel Pérez: Multinational enterprises from Latin America: investment strategies and limits to growth and diversification. Transnatl. Corpor. Rev. 8(1), 41–49 (2016)
Soumaré, Issouf, Gohou, Gaston, Kouadio, Hugues: Comparative study of the characteristics of FDI from China to Africa versus developed countries. Transnatl. Corpor. Rev. 8(3), 165–177 (2016). https://doi.org/10.1080/19186444.2016.1233715
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Liang, L., Qin, X. RETRACTED ARTICLE: Research on consumers online shopping decision-making and recommendation of commodity based on social media network. Cluster Comput 22 (Suppl 3), 6529–6539 (2019). https://doi.org/10.1007/s10586-018-2296-7
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DOI: https://doi.org/10.1007/s10586-018-2296-7