Helpfulness of user-generated reviews as a function of review sentiment, product type and information quality.

Helpfulness of user-generated reviews has not been studied adequately in terms of the interplay between review sentiment (favorable, unfavorable and mixed) and product type (search and experience). Moreover, the ways in which information quality relates to review helpfulness remain largely unknown....

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Published in:Computers in Human Behavior Vol. 54; pp. 547 - 555
Main Authors: Chua, Alton Y.K., Banerjee, Snehasish
Format: Article
Published: Elsevier B.V. Jan2016
Subjects:
Online Access:View this record in EBSCOhost
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      dt: Jan2016
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      pub: Elsevier B.V.
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        10.1016/j.chb.2015.08.057
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        atl: Helpfulness of user-generated reviews as a function of review sentiment, product type and information quality.
      aug:
        au:
          Chua, Alton Y.K.
          Banerjee, Snehasish
        affil: Nanyang Technological Universty, 31 Nanyang Link, WKWSCI Building, Singapore 637718, Singapore
      su:
        Analysis of variance
        Consumer attitudes
        Music
        World Wide Web
        Electronic commerce
        Cell phones
        Photographic equipment
        Books
        Commercial product evaluation
        Computer peripherals
        Skin care
        Multiple regression analysis
        Descriptive statistics
      sug:
        subj:
          Analysis of variance
          Consumer attitudes
          Music
          World Wide Web
          Electronic commerce
          Cell phones
          Book stores and news dealers
          Book Stores
          Book, Periodical, and Newspaper Merchant Wholesalers
          Book, periodical and newspaper merchant wholesalers
          Commodity Contracts Dealing
          Commodity Contracts Brokerage
          Computer and software stores
          Computer, computer peripheral and pre-packaged software merchant wholesalers
          Computer and Computer Peripheral Equipment and Software Merchant Wholesalers
          Computer and peripheral equipment manufacturing
          Computer Terminal and Other Computer Peripheral Equipment Manufacturing
          Computer and Office Machine Repair and Maintenance
          Photographic Equipment and Supplies Merchant Wholesalers
          Photographic equipment and supplies merchant wholesalers
          Photographic and Photocopying Equipment Manufacturing
          Camera and photographic supplies stores
          Electronics Stores
          Consumer Electronics Repair and Maintenance
          Internet Publishing and Broadcasting and Web Search Portals
          Electronic shopping and mail-order houses
          Electronic Shopping
          Electronic components, navigational and communications equipment and supplies merchant wholesalers
          Radio and Television Broadcasting and Wireless Communications Equipment Manufacturing
          Wireless Telecommunications Carriers (except Satellite)
          Photographic equipment
          Books
          Commercial product evaluation
          Computer peripherals
          Skin care
          Multiple regression analysis
          Descriptive statistics
      keyword:
        Experience products
        Helpfulness
        Information quality
        Review sentiment
        Search products
        User-generated reviews
        Experience products
        Helpfulness
        Information quality
        Review sentiment
        Search products
        User-generated reviews
      ab: Helpfulness of user-generated reviews has not been studied adequately in terms of the interplay between review sentiment (favorable, unfavorable and mixed) and product type (search and experience). Moreover, the ways in which information quality relates to review helpfulness remain largely unknown. Hence, this paper seeks to answer the following two research questions: (1) How does the helpfulness of user-generated reviews vary as a function of review sentiment and product type? (2) How does information quality relate to the helpfulness of user-generated reviews across review sentiment and product type? Data included 2190 reviews drawn from Amazon for three search products—digital cameras, cell phones, and laser printers—as well as three experience products—books, skin care, and music albums. Review sentiment was ascertained based on star ratings. Investigation of the research questions relied on the statistical procedures of analysis of variance, and multiple regression. Review helpfulness was found to vary across review sentiment independent of product type. Besides, the relationship between information quality and review helpfulness was found to vary as a function of review sentiment as well as product type. The paper concludes with a number of implications for research and practice.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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