• 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