政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/111654
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109952/140887 (78%)
Visitors : 46300852      Online Users : 1917
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/111654


    Title: What in Consumer Reviews Affects the Sales of Mobile Apps: A Multifacet Sentiment Analysis Approach
    Authors: Liang, Ting-Peng;Li, Xin;Yang, Chin-Tsung;Wang, Mengyue
    梁定澎
    Contributors: 資訊管理學系
    Keywords: Consumer reviews;electronic word of mouth;eWoM;mobile app sales;opinion analysis;sentiment analysis;text mining
    Date: 2015-12
    Issue Date: 2017-08-07 17:43:54 (UTC+8)
    Abstract: With the rapid adoption of smartphones, developing mobile apps has become an attractive arena for entrepreneurs. Many factors drive the sales of mobile apps, one of which is online word of mouth (eWOM). This research examines the effect of textual consumer reviews on the sales of mobile apps. Noting the inconsistent findings on the effect of textual reviews in previous literature, this study inspects how the sentiments of different topics in online reviews affect app sales. We develop a multifacet sentiment analysis (MFSA) approach to measure the dimensions in consumer reviews. Specifically, we are interested in the comments on product quality and service quality in this research. Employing a real-world data set of seventy-nine paid and seventy free apps from an iOS app store, we found that although consumers opinions on product quality occupies a larger portion of consumer reviews, their comments on service quality have a stronger unit effect on sales rankings. The empirical analysis illustrates the value of our proposed MFSA approach for better understanding of the effect of textual consumer reviews on mobile app success. © 2015 Taylor & Francis Group, LLC.
    Relation: International Journal of Electronic Commerce, 20(2), 236-260
    Data Type: article
    DOI link: http://dx.doi.org/10.1080/10864415.2016.1087823
    DOI: 10.1080/10864415.2016.1087823
    Appears in Collections:[Department of MIS] Periodical Articles

    Files in This Item:

    File Description SizeFormat
    823.pdf641KbAdobe PDF2471View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback