IDEAS home Printed from https://ideas.repec.org/a/igg/jdsst0/v11y2019i3p81-97.html
   My bibliography  Save this article

Product Quality Assessment Based on Online Reviews

Author

Listed:
  • Chao Li

    (Information Engineering College, Hubei University for Nationalities, Enshi, China)

  • Jun Xiang

    (Information Engineering College, Hubei University for Nationalities, Enshi, China)

  • Shiqiang Chen

    (Information Engineering College, Hubei University for Nationalities, Enshi, China)

Abstract

Reviews can reflect the degree of consumers' satisfaction and views on product quality, and consumers tend to read product reviews and then get helpful information about product quality before placing an order in e-commerce platforms. However, the existing research mainly focus on the assessment of review quality, fake review detection, opinion mining, and there is little research to assess product quality from the perspectives of product features based on reviews objectively and quantifialy. Therefore, the authors propose a method to assess product quality based on reviews in a granularity of product feature. The authors define the related quality dimensions and develop the corresponding assessment models, assess the review quality crawled from an e-commerce platform, then extract product features and opinion words from the quality reviews, and finally assess product quality on the extracted and consumer-concerned features. Experiment results demonstrate the methodology can achieve the assessment of product quality on any feature objectively and quantificationally.

Suggested Citation

  • Chao Li & Jun Xiang & Shiqiang Chen, 2019. "Product Quality Assessment Based on Online Reviews," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 11(3), pages 81-97, July.
    • Handle: RePEc:igg:jdsst0:v:11:y:2019:i:3:p:81-97
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDSST.2019070105
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sparacino, Daniele, 2019. "Funktionsweise und Möglichkeiten von Google Shopping mit einem Fokus auf Showcase Ads," Working Papers for Marketing & Management 42, Offenburg University, Department of Media and Information.
    2. Zweigle, Tanja & Hellinghausen, Paul, 2021. "Relevanz und Potential von TikTok für die Social-Media-Marketing-Strategie von Unternehmen," IU Discussion Papers - Marketing & Communication 01 (Dez. 2021), IU International University of Applied Sciences.
    3. Kühn, Frauke & Lichters, Marcel & Krey, Nina, 2020. "The touchy issue of produce: Need for touch in online grocery retailing," Journal of Business Research, Elsevier, vol. 117(C), pages 244-255.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jdsst0:v:11:y:2019:i:3:p:81-97. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.