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Cluster Computing
Erschienen in: Cluster Computing 2/2019

08.03.2018

RETRACTED ARTICLE: The relationship analysis between online reviews and online shopping based on B2C platform technology

verfasst von: Fagang Hu

Erschienen in: Cluster Computing | Sonderheft 2/2019

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Abstract

With the continuous development of e-commerce technology, the online shopping volume of Chinese consumers has been increasing year by year,which will rapid development in the future. The emergence of B2C platform allows consumers to exchange shopping information online, which making shopping easier. Online reviews belong to an online sales tool, which influences the shopping behavior of consumers by commenting content, and becomes the main influence means of online shopping. This paper based on the B2C platform technology; take the online review content of Jingdong Mall in 2017 as data, which in order to study the relationship between shopping behavior and online review through classification, sorting and assignment. We based on the conceptual model to propose six research hypotheses, and conduct questionnaires and interviews. The 200 questionnaires were distributed, and 192 valid questionnaires were obtained, the overall effective rate is 82%. The results show that economic-related comments, service-related comments have a significant impact on the online shopping behavior.
Vorheriger Artikel Iterative Conditional Entropy Kalman filter (ICEKF) for noise reduction and Neuro Optimized Emotional Classifier (NOEC)
Nächster Artikel RETRACTED ARTICLE: Research on innovation path of school ideological and political work based on large data

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Literatur
1.
Beales, H., Mazis, M.B., Salop, S.C.: Consumer search and public policy. J. Consum. Res. 8(1), 11–22 (2017)CrossRef
2.
Kim, E., Lee, B.: E-CRM and digitization of word of mouth. Integr. J. Manag. Sci. 11(3), 47–60 (2015)
3.
Stephen, W.L., Ronald, E.G., Bing, P.: Electronic word-of-mouth inhospitality and tourism management. Tour. Manag. 11(5), 458–468 (2017)
4.
Chen, P., Dhanasobhon, S.: Analysis of the differential impact of reviews and reviewers at Amazon.com. Eighth Int. Impact Conf. Inf. Syst. 2(4), 1023–1029 (2017)
5.
Park, D.H., Kim, S.: The effects of consumer knowledge on message processing of electronic word of mouth via online consumer reviews. Electron. Commer. Res. Appl. 6, 8–10 (2017)
6.
Park, D.H., Lee, J., Han, I.: The effect of online consumer reviews on consumer purchasing intention: E moderating role of involvement. Int. J. Electron. Commer. 11(4), 125–148 (2017)CrossRef
7.
Chert, Y.B., Xie, J.H.: Online consumer review: word of-mouth as a new element of marketing communication mix. Manag. Sci. 54(3), 477–491 (2016)
8.
Xiaojun, H., Weiqing, X.: Basic research orientation of word of mouth communication. Marketing. 24(5), 51–56 (2015)
9.
Xu, J., et al.: Comparative study on the influence of online word-of-mouth and traditional word-of-mouth on consumers’ purchasing decision. Financ. Trade Econ. 2(2), 98–104 (2016)
10.
Lin, X.: An empirical study on influential factors of credibility of internet word-of-mouth. Financ. Res. 5, 113–117 (2017)
11.
Qiang, Z., Naihe, L.: Study on the current situation and future development of internet word of mouth. J. Jiangxi Agric. 20 (4) (2016)
12.
Ellen, G., Michal, S.: Grant differences in the perceived risk of buying online and the effects of receiving a site recommendation. J. Bus. Res. 57, 768–775 (2014)
13.
Ratchford, B.T., Talukdar, D., Lee, M.S.A.: A model of consumer choice of the internet as an information source. Int. J. Electron. Commerc. 5(3), 7–22 (2015)CrossRef
14.
Mcknigh, D.H., Kacmar, C.J., Chouhhury, V.: Hoifting factors and the ineffectiveness of third party assurance seals: a two-stage model of initial trust in a web business. Electron. Mark. 14(3), 252–266 (2014)CrossRef
15.
Cases, A.-S.: Perceived risk and risk-reduction strategies in internet shopping. Int. Rev. Retail Distrib. Consum. Res. 12(2), 375–394 (2012)
16.
Rolnn, A.J., Milne, G.R.: Cumeumers privacy concerns about direct marketers use of personal medical information. In: Hair Jr., J.E. (ed.) Association for Health Care Research Conference, vol. 2, pp. 7–8 (2017)
17.
GUO, G., QIAN, M.: Influence of internet word of mouth on consumers. Econ. Manag. 5, 56–59 (2017)
Metadaten
Titel
RETRACTED ARTICLE: The relationship analysis between online reviews and online shopping based on B2C platform technology
verfasst von
Fagang Hu
Publikationsdatum
08.03.2018
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe Sonderheft 2/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-2182-3

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