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
  • [1] Using online consumer reviews as a source for demographic recommendations: A case study using online travel reviews
    Korfiatis, Nikolaos
    Poulos, Marios
    EXPERT SYSTEMS WITH APPLICATIONS, 2013, 40 (14) : 5507 - 5515
  • [2] Text Mining Analysis of Online Consumer Reviews on Home IoT Services
    Hong, Jihyung
    Suk, Jaehye
    Hwang, Hyesun
    Kim, Dongmin
    Kim, Kee Ok
    Jeong, Yunjik
    HCI INTERNATIONAL 2018 - POSTERS' EXTENDED ABSTRACTS, PT I, 2018, 850 : 423 - 428
  • [3] IDENTIFYING FUTURE RESEARCH OPPORTUNITIES IN ONLINE CONSUMER REVIEWS: THE CASE OF TRAVEL REVIEW WEBSITES
    Whitehead, Lisa Marie
    4TH ANNUAL EUROMED CONFERENCE OF THE EUROMED ACADEMY OF BUSINESS: BUSINESS RESEARCH CHALLENGES IN A TURBULENT ERA, 2011, : 2062 - 2074
  • [4] Content analysis of fake consumer reviews by survey-based text categorization*
    Moon, Sangkil
    Kim, Moon-Yong
    Iacobucci, Dawn
    INTERNATIONAL JOURNAL OF RESEARCH IN MARKETING, 2021, 38 (02) : 343 - 364
  • [5] Language interpretation in travel guidance platform: Text mining and sentiment analysis of TripAdvisor reviews
    Chu, Miao
    Chen, Yi
    Yang, Lin
    Wang, Junfang
    FRONTIERS IN PSYCHOLOGY, 2022, 13
  • [6] Analysis of Star Ratings in Consumer Reviews A Case Study of Yelp
    Prithivirajan, Maruthi
    Lai, Vivian
    Shim, Kyong Jin
    Shung, Koo Ping
    PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2015, : 2954 - 2956
  • [7] Consumer reviews analysis on cycling pants in online shopping malls using text mining
    Chunjeong Kim
    Youngjoo Na
    Fashion and Textiles, 8
  • [8] Consumer reviews analysis on cycling pants in online shopping malls using text mining
    Kim, Chunjeong
    Na, Youngjoo
    FASHION AND TEXTILES, 2021, 8 (01)
  • [9] Virtual Reality as a Travel Promotional Tool: Insights from a Consumer Travel Fair
    Gibson, Alex
    O'Rawe, Mary
    AUGMENTED REALITY AND VIRTUAL REALITY: EMPOWERING HUMAN, PLACE AND BUSINESS, 2018, : 93 - 107
  • [10] The Impact of Video versus Text Reviews on Consumer Intention to Purchase
    Albano, P.
    Guerreiro, J.
    Rita, P.
    2019 14TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI), 2019,