DocumentCode
126990
Title
The impact of online reviews on consumers´ purchase decisions in online shopping
Author
Shao Jing-bo ; Li Zhen-zhen ; Hu Ming-ye
Author_Institution
Sch. of Manage., Harbin Inst. of Technol., Harbin, China
fYear
2014
fDate
17-19 Aug. 2014
Firstpage
287
Lastpage
293
Abstract
This paper takes the women´s clothing of online shopping as the research object. Based on the B2C trading platform, collecting the data by designing and issuing the questionnaire, through correlation analysis and regression analysis with the data, this paper studies the influence degree that the related factors of online reviews impact consumers´ purchase decisions. We find that the factors of online reviews, which include the quality of reviews´ content, the valence of reviews and the timeliness of reviews, influence the consumer´s purchasing decision significantly, but the other factors including the quantity of reviews and the reputation of reviewers do not. These findings provide valuable reference for online retailers to formula the marketing strategy and theoretical significance to future study in other professions.
Keywords
correlation methods; purchasing; regression analysis; retail data processing; B2C trading platform; consumer purchase decisions; correlation analysis; marketing strategy; online retailers; online reviews; online shopping; regression analysis; womens clothing; Correlation; Educational institutions; Equations; Mathematical model; Mouth; Quality assessment; Reliability; analysis of regression; consumers´ purchase decisions; online reviews; online shopping;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science & Engineering (ICMSE), 2014 International Conference on
Conference_Location
Helsinki
Print_ISBN
978-1-4799-5375-2
Type
conf
DOI
10.1109/ICMSE.2014.6930242
Filename
6930242
Link To Document