1. NCCU Academic Hub
  2. 學術產出
  3. College of Commerce
  4. Periodical Articles
  5. Item

學術產出-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

題名 What in Consumer Reviews Affects the Sales of Mobile Apps: A Multifacet Sentiment Analysis Approach
作者 Liang, Ting-Peng;Li, Xin;Yang, Chin-Tsung;Wang, Mengyue
梁定澎
貢獻者 資訊管理學系
關鍵詞 Consumer reviews; electronic word of mouth; eWoM; mobile app sales; opinion analysis; sentiment analysis; text mining
日期 2015-12
上傳時間 7-Aug-2017 17:43:54 (UTC+8)
摘要 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.
關聯 International Journal of Electronic Commerce, 20(2), 236-260
資料類型 article
DOI http://dx.doi.org/10.1080/10864415.2016.1087823
dc.contributor 資訊管理學系zh_Tw
dc.creator (作者) Liang, Ting-Peng;Li, Xin;Yang, Chin-Tsung;Wang, Mengyueen_US
dc.creator (作者) 梁定澎zh_TW
dc.date (日期) 2015-12en_US
dc.date.accessioned 7-Aug-2017 17:43:54 (UTC+8)-
dc.date.available 7-Aug-2017 17:43:54 (UTC+8)-
dc.date.issued (上傳時間) 7-Aug-2017 17:43:54 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/111654-
dc.description.abstract (摘要) 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.en_US
dc.format.extent 656848 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) International Journal of Electronic Commerce, 20(2), 236-260en_US
dc.subject (關鍵詞) Consumer reviews; electronic word of mouth; eWoM; mobile app sales; opinion analysis; sentiment analysis; text miningen_US
dc.title (題名) What in Consumer Reviews Affects the Sales of Mobile Apps: A Multifacet Sentiment Analysis Approachen_US
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1080/10864415.2016.1087823
dc.doi.uri (DOI) http://dx.doi.org/10.1080/10864415.2016.1087823