IDEAS home Printed from https://ideas.repec.org/a/spr/elcore/v21y2021i3d10.1007_s10660-019-09343-w.html
   My bibliography  Save this article

Assessing hotel decision-making of disabled guests: satisfaction correlation study between online comments’ credibility and perceived risk

Author

Listed:
  • Yan Zhang

    (Zhejiang Gongshang University)

  • Qiongjing Yang

    (Zhejiang Gongshang University)

Abstract

Online comments have become an important tool for disabled guests because of lower physical movement requirements. In order to illustrate and evaluate disabled guests’ decision-making characteristics, this paper has used two steps for studying: (1) Data mining technology to collect e-comments from C-trip ( www.ctrip.com ) of 97 hotels in the cities of Beijing, Shanghai, Hangzhou and Guangzhou. Over 260,000 words were collected and analyzed by using ROSTcm software for this research. (2) Examined the relationship between the credibility and the perceived risk of disabled guests for their behavioral intentions. The result of this study has showed that: (1) Disabled guests pay more attention to the hotel barrier-free facilities, hotel barrier-free facilities, hotel personalized service, location accessibility, and the attitude and atmosphere of the hotel. (2) Disabled guests show positive attitude towards the hotel, and a neutral attitude accounting for 25.86% which indicates that the hotel industry still has much improving room especially with regards to disabled accessible guestrooms and accessibility. (3) Electronic Word-of-Mouth (eWOM) source credibility has a great influence on the overall perceived risk of the review of disabled guests because they are more likely for seeking internet comments for their lodging decision-making than other common guests. eWOM rational management can reduce the overall potential risk for disabled guests. (4) Hotels can enhance disabled guests’ decision-making by advanced eWOM management. The study illustrated that disabled guests who used eWOM could be better managed and reduce potential risks when making decisions. As a result, this study also found that with better management of eWOM, it could help to meet the potential market for the disabled guests and at the meanwhile attract more customers because of higher social reputation.

Suggested Citation

  • Yan Zhang & Qiongjing Yang, 2021. "Assessing hotel decision-making of disabled guests: satisfaction correlation study between online comments’ credibility and perceived risk," Electronic Commerce Research, Springer, vol. 21(3), pages 767-786, September.
  • Handle: RePEc:spr:elcore:v:21:y:2021:i:3:d:10.1007_s10660-019-09343-w
    DOI: 10.1007/s10660-019-09343-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10660-019-09343-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10660-019-09343-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Barbara H. Wixom & Peter A. Todd, 2005. "A Theoretical Integration of User Satisfaction and Technology Acceptance," Information Systems Research, INFORMS, vol. 16(1), pages 85-102, March.
    3. Mitchell, Andrew A & Dacin, Peter A, 1996. "The Assessment of Alternative Measures of Consumer Expertise," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(3), pages 219-239, December.
    4. Robert G. Bowman & Farshid Navissi, 2003. "Earnings management and abnormal returns: Evidence from the 1970–1972 Price Control Regulations," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 43(1), pages 1-19, March.
    5. Kim, Myung-Ja & Chung, Namho & Lee, Choong-Ki, 2011. "The effect of perceived trust on electronic commerce: Shopping online for tourism products and services in South Korea," Tourism Management, Elsevier, vol. 32(2), pages 256-265.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alalwan, Ali Abdallah & Baabdullah, Abdullah M. & Rana, Nripendra P. & Tamilmani, Kuttimani & Dwivedi, Yogesh K., 2018. "Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust," Technology in Society, Elsevier, vol. 55(C), pages 100-110.
    2. Patrick Krieger & Carsten Lausberg, 2021. "Entscheidungen, Entscheidungsfindung und Entscheidungsunterstützung in der Immobilienwirtschaft: Eine systematische Literaturübersicht [Decisions, decision-making and decisions support systems in r," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 7(1), pages 1-33, April.
    3. José Alberto Martínez-González & Eduardo Parra-López & Almudena Barrientos-Báez, 2021. "Young Consumers’ Intention to Participate in the Sharing Economy: An Integrated Model," Sustainability, MDPI, vol. 13(1), pages 1-21, January.
    4. Donglin Han & Huiying (Cynthia) Hou & Hao Wu & Joseph H. K. Lai, 2021. "Modelling Tourists’ Acceptance of Hotel Experience-Enhancement Smart Technologies," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    5. Kathrin Dudenhöffer, 2013. "Why electric vehicles failed," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 24(2), pages 95-124, July.
    6. Alisa Frik & Luigi Mittone, 2016. "Factors Influencing the Perceived Websites' Privacy Trustworthiness and Users' Purchase Intentions," CEEL Working Papers 1609, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    7. Quaglione, Davide & Crociata, Alessandro & Agovino, Massimiliano & Iaia, Lea, 2020. "Cultural capital and online purchase of tourism services," Annals of Tourism Research, Elsevier, vol. 80(C).
    8. Oussama Tounekti & Antonio Ruiz-Martínez & Antonio F. Skarmeta-Gómez, 2021. "Users’ Evaluation of a New Web Browser Payment Interface for Facilitating the Use of Multiple Payment Systems," Sustainability, MDPI, vol. 13(9), pages 1-24, April.
    9. Hossain Md. Motaher & Zahidul Islam K. M. & Masud Abdullah Al & Biswas Sukanta & Hossain Md. Alamgir, 2021. "Behavioral intention and continued adoption of Facebook: An exploratory study of graduate students in Bangladesh during the Covid-19 pandemic," Management, Sciendo, vol. 25(2), pages 153-186, December.
    10. Amaro, Suzanne & Duarte, Paulo, 2015. "An integrative model of consumers' intentions to purchase travel online," Tourism Management, Elsevier, vol. 46(C), pages 64-79.
    11. Arpan Kumar Kar, 2021. "What Affects Usage Satisfaction in Mobile Payments? Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model”," Information Systems Frontiers, Springer, vol. 23(5), pages 1341-1361, September.
    12. Sasmita Palo & Linu Charles, 2015. "Investigating Factors Affecting Knowledge Sharing Intention of Salespeople," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 40(3-4), pages 302-324, August.
    13. Tseng, Shu-Mei, 2015. "Exploring the intention to continue using web-based self-service," Journal of Retailing and Consumer Services, Elsevier, vol. 24(C), pages 85-93.
    14. Haque, AKM Bahalul & Islam, A.K.M. Najmul & Mikalef, Patrick, 2023. "Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    15. Masood Ul Hassan & Muhammad Shahid Iqbal & Ume Habibah, 2020. "Self-Service Technology Service Quality: Building Loyalty and Intention Through Technology Trust in Pakistani Service Sector," SAGE Open, , vol. 10(2), pages 21582440209, June.
    16. Rajiv Sabherwal & Anand Jeyaraj & Charles Chowa, 2006. "Information System Success: Individual and Organizational Determinants," Management Science, INFORMS, vol. 52(12), pages 1849-1864, December.
    17. Ifie, Kemefasu, 2020. "Excellent Product … But Too Early to Say: Consumer Reactions to Tentative Product Reviews," Journal of Interactive Marketing, Elsevier, vol. 52(C), pages 35-51.
    18. Qian Jin & Hui Hu & Xiaozhi Su & Alastair M. Morrison, 2021. "The Influence of the Characteristics of Online Itinerary on Purchasing Behavior," Land, MDPI, vol. 10(9), pages 1-19, September.
    19. Mohammed Otaq & Hassan Al-Dhaafri, 2016. "Individual Personality Factors as Drivers for Electronic and Mobile-Shopping Acceptance in United Arab Emirates," Asian Social Science, Canadian Center of Science and Education, vol. 12(12), pages 1-1, December.
    20. Jullie Jeanette Sondakh, 2017. "Behavioral Intention to Use E-Tax Service System: An Application of Technology Acceptance Model," European Research Studies Journal, European Research Studies Journal, vol. 0(2A), pages 48-64.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:elcore:v:21:y:2021:i:3:d:10.1007_s10660-019-09343-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.