Text analysis of consumer reviews: The case of virtual travel firms

被引:0
|
作者
Lehto, Ximan [1 ]
Park, Jung Kun
Park, Ounjoung
Lehto, Mark R.
机构
[1] Purdue Univ, Sch Consumer Sci, W Lafayette, IN 47906 USA
[2] Purdue Univ, Sch Ind Engn, W Lafayette, IN 47906 USA
关键词
virtual travel agent; e-satisfaction; online product review; complaint; compliment;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This study uncovered critical domains and themes of compliments and complaints that influence consumers overall satisfaction with using virtual travel agencies. Four domains, namely, "customer Service & Support", "trip schedule change", "product experience" and "firm credibility" were identified as areas where problems arose and extreme dissatisfaction resulted. Three domains emerged as the best predictors for satisfaction: "product experience", Customer Service & Sopecially at managerial level is critical for these virtual travel firms. The outcomes of this research lend insights into how to effectively manage consumer online reviews and turn this domain of valuable resources into knowledge and a strategy tool for the virtual travel segment of the hospitality and tourism industry.
引用
收藏
页码:490 / 499
页数:10
相关论文
共 50 条
  • [21] Investigating Determinants of Voting for the "Helpfulness" of Online Consumer Reviews: A Text Mining Approach
    Duan, Wenjing
    Cao, Qing
    Gan, Qiwei
    AMCIS 2010 PROCEEDINGS, 2010,
  • [22] Informed recommender agent: Utilizing consumer product reviews through text mining
    Aciar, Silvana
    Zhang, Debbie
    Simoff, Simeon
    Debenham, John
    2006 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WORKSHOPS PROCEEDINGS, 2006, : 37 - +
  • [23] The Bibliometric Analysis of Online Consumer Reviews Research
    Li, Yaqin
    Yang, Yuequan
    2014 4TH INTERNATIONAL CONFERENCE ON APPLIED SOCIAL SCIENCE (ICASS 2014), PT 3, 2014, 53 : 194 - 199
  • [24] Automated Text Analysis for Consumer Research
    Humphreys, Ashlee
    Wang, Rebecca Jen-Hui
    JOURNAL OF CONSUMER RESEARCH, 2018, 44 (06) : 1274 - 1306
  • [25] Consumer insights from text analysis
    Packard, Grant
    Moore, Sarah G.
    Berger, Jonah
    JOURNAL OF CONSUMER PSYCHOLOGY, 2023, 33 (04) : 615 - 620
  • [26] STATISTICAL AND SENTIMENT ANALYSIS OF CONSUMER PRODUCT REVIEWS
    Singla, Zeenia
    Randhawa, Sukhchandan
    Jain, Sushma
    2017 8TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT), 2017,
  • [27] Analysis of Consumer Reviews by Machine Learning Techniques
    Sinha, Sourav
    Sandhya, M.
    SUSTAINABLE COMMUNICATION NETWORKS AND APPLICATION, ICSCN 2019, 2020, 39 : 486 - 496
  • [28] CONSUMER DECISION MAKING INFLUENCED BY REVIEWS: THE ZOMATO CASE
    Campos, Jessica
    Martins, Nuno
    INTERNATIONAL CONFERENCE ON DESIGN AND DIGITAL COMMUNICATION (DIGICOM), 2017, : 35 - 46
  • [29] Narrativity and involvement in online consumer reviews The case of TripAdvisor
    Vasquez, Camilla
    NARRATIVE INQUIRY, 2012, 22 (01) : 105 - 121
  • [30] CONSUMER ANALYSIS OF TRAVEL CHOICE BEHAVIOR.
    Koppelman, Frank S.
    1600, (14):