nach oben

Cluster Computing

Erschienen in:

03.03.2018

RETRACTED ARTICLE: Research on consumers online shopping decision-making and recommendation of commodity based on social media network

verfasst von: Linmeng Liang, Xiaohong Qin

Erschienen in: Cluster Computing | Sonderheft 3/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

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.

Vorheriger Artikel Efficient computation of the transitive closure size

Nächster Artikel Study on flood control risk of flood control engineering system based on the clustering of measured data

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

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)CrossRef

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)

10.

China Electronic Commerce Research Center. China e - commerce market data in 2014 monitoring report [EB/OL].

11.

Xi, Zhang: Microblog marketing. Manag. World 11(2), 87–92 (2010)

12.

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)CrossRef

13.

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)

14.

Zheng, X.: Online Reviews Empirical Study of the Impact of Network Consumers Purchase Decision. Renmin university of China, Beijing (2008)

15.

Jingming, Zhuang, Mingwen, Wang, Maosheng, Ye: Agricultural information recommendation system based on content filtering. Comput. Eng. 38(11), 38–41 (2012)

16.

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)CrossRef

17.

Yannan, Zhao, Jing, Dong, Jialiang, Dong: Based on the socialization of the blog label recommended method. Comput. Eng. Des. 33(12), 4609–4613 (2012)

18.

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)

19.

Hong, Yu., Zhuanyun, Li: Collaborative filtering recommendation algorithm based on forgetting curve. J. Nanjing Univ. (natural science edition) 46(05), 520–527 (2010)

20.

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)

21.

Zhu Lizhong, Xu, Xiujuan, Liu Yu.: Collaborative filtering recommendation algorithm based on project and trust. Comput. Eng. 39(01), 58–62 (2013)

22.

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/10.1080/19186444.2017.1362858CrossRef

23.

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)CrossRef

24.

Ludeña, Miguel Pérez: Multinational enterprises from Latin America: investment strategies and limits to growth and diversification. Transnatl. Corpor. Rev. 8(1), 41–49 (2016)CrossRef

25.

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/10.1080/19186444.2016.1233715CrossRef

Titel: RETRACTED ARTICLE: Research on consumers online shopping decision-making and recommendation of commodity based on social media network
verfasst von: Linmeng Liang
Xiaohong Qin
Publikationsdatum: 03.03.2018
Verlag: Springer US
Erschienen in: Cluster Computing / Ausgabe Sonderheft 3/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-018-2296-7

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Sonderheft 3/2019

Trajectory tracking control of robot manipulator based on RBF neural network and fuzzy sliding mode

Research on networked control system based on T-S model

A novel simulation strategy for equation-based models of cyber-physical systems

Preference-driven yield-and-quality optimization for high-sulfur gas sweetening process by extreme learning machine model

Opinion mining on large scale data using sentiment analysis and k-means clustering

Dynamic weight-based multi-features fuzzy fusion for recovery-decision of waste lubrication oil