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Does Culture of Origin Have an Impact on Online Complaining Behaviors? The Perceptions of Asians and Non-Asians

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  • Raksmey Sann

    (Department of Tropical Agriculture and International Cooperation, National Pingtung University of Science and Technology, Pingtung 91201, Taiwan)

  • Pei-Chun Lai

    (Department of Hotel and Restaurant Management, National Pingtung University of Science and Technology, Pingtung 91201, Taiwan)

  • Hui-Chen Chang

    (Department of Hotel and Restaurant Management, National Pingtung University of Science and Technology, Pingtung 91201, Taiwan)

Abstract

The main purpose of this study was to analyze and compare the online complaining behavior of Asian and non-Asian hotels guests who have posted negative hotel reviews on TripAdvisor to voice their dissatisfaction towards a select set of hotel service attributes. A qualitative content analysis of texts which relied on manual coding was used while examining 2020 online complaining reviews directed at 353 UK hotels and posted by visitors originating from 63 countries. The results from the word frequency analysis reveal that both Asian and non-Asian travelers tend to put more emphasis on Booking and Reviews when posting complaints online. Based on a manual qualitative content analysis, 11 different major online complaint categories and 65 sub-categories were identified. Among its important findings, results of this study show that non-Asian guests frequently make complaints which are longer and more detailed than Asian customers. Managerial implications and opportunities for future studies are also discussed.

Suggested Citation

  • Raksmey Sann & Pei-Chun Lai & Hui-Chen Chang, 2020. "Does Culture of Origin Have an Impact on Online Complaining Behaviors? The Perceptions of Asians and Non-Asians," Sustainability, MDPI, vol. 12(5), pages 1-37, February.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1838-:d:326512
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    References listed on IDEAS

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    1. Sparks, Beverley A. & So, Kevin Kam Fung & Bradley, Graham L., 2016. "Responding to negative online reviews: The effects of hotel responses on customer inferences of trust and concern," Tourism Management, Elsevier, vol. 53(C), pages 74-85.
    2. Phillips, Paul & Zigan, Krystin & Santos Silva, Maria Manuela & Schegg, Roland, 2015. "The interactive effects of online reviews on the determinants of Swiss hotel performance: A neural network analysis," Tourism Management, Elsevier, vol. 50(C), pages 130-141.
    3. Sezgen, Eren & Mason, Keith J. & Mayer, Robert, 2019. "Voice of airline passenger: A text mining approach to understand customer satisfaction," Journal of Air Transport Management, Elsevier, vol. 77(C), pages 65-74.
    4. Gao, Baojun & Li, Xiangge & Liu, Shan & Fang, Debin, 2018. "How power distance affects online hotel ratings: The positive moderating roles of hotel chain and reviewers’ travel experience," Tourism Management, Elsevier, vol. 65(C), pages 176-186.
    5. Zhang, Ziqiong & Zhang, Zili & Yang, Yang, 2016. "The power of expert identity: How website-recognized expert reviews influence travelers' online rating behavior," Tourism Management, Elsevier, vol. 55(C), pages 15-24.
    6. Liu, Yong & Teichert, Thorsten & Rossi, Matti & Li, Hongxiu & Hu, Feng, 2017. "Big data for big insights: Investigating language-specific drivers of hotel satisfaction with 412,784 user-generated reviews," Tourism Management, Elsevier, vol. 59(C), pages 554-563.
    7. Filieri, Raffaele, 2015. "What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM," Journal of Business Research, Elsevier, vol. 68(6), pages 1261-1270.
    8. Mariani, Marcello M. & Di Felice, Marco & Mura, Matteo, 2016. "Facebook as a destination marketing tool: Evidence from Italian regional Destination Management Organizations," Tourism Management, Elsevier, vol. 54(C), pages 321-343.
    9. Guo, Yue & Barnes, Stuart J. & Jia, Qiong, 2017. "Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation," Tourism Management, Elsevier, vol. 59(C), pages 467-483.
    10. Filieri, Raffaele, 2016. "What makes an online consumer review trustworthy?," Annals of Tourism Research, Elsevier, vol. 58(C), pages 46-64.
    11. Chaves, Marcirio Silveira & Gomes, Rodrigo & Pedron, Cristiane, 2012. "Analysing reviews in the Web 2.0: Small and medium hotels in Portugal," Tourism Management, Elsevier, vol. 33(5), pages 1286-1287.
    12. Chun-Min Kuo, 2007. "The Importance of Hotel Employee Service Attitude and the Satisfaction of International Tourists," The Service Industries Journal, Taylor & Francis Journals, vol. 27(8), pages 1073-1085, December.
    13. Casaló, Luis V. & Flavián, Carlos & Guinalíu, Miguel & Ekinci, Yuksel, 2015. "Avoiding the dark side of positive online consumer reviews: Enhancing reviews' usefulness for high risk-averse travelers," Journal of Business Research, Elsevier, vol. 68(9), pages 1829-1835.
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    Cited by:

    1. Heesup Han & Soyeun Lee & Bo Meng & Bee-Lia Chua & Hyungseo Bobby Ryu, 2020. "The Relative Importance of Volunteer Tourism (Sustainable/Pro-Social Form of Tourism) Motivation Factors for Young Tourists: A Descriptive Analysis by Continents, Gender, and Frequency," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    2. Prakash Singh & Lokesh Arora & Abdulaziz Choudhry, 2022. "Consumer Behavior in the Service Industry: An Integrative Literature Review and Research Agenda," Sustainability, MDPI, vol. 15(1), pages 1-30, December.
    3. Raksmey Sann & Pei-Chun Lai & Chi-Ting Chen, 2022. "Crisis Adaptation in a Thai Community-Based Tourism Setting during the COVID-19 Pandemic: A Qualitative Phenomenological Approach," Sustainability, MDPI, vol. 15(1), pages 1-16, December.

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