IDEAS home Printed from https://ideas.repec.org/a/zag/market/v27y2015i2p221-236.html
   My bibliography  Save this article

The Influence of User-Generated Content on Tourists’ Choices

Author

Listed:
  • Giacomo Del Chiappa

    (University of Sassari & CRENOS)

  • Carlota Lorenzo-Romero

    (University of Castilla-La Mancha)

  • María-del-Carmen Alarcón-del-Amo

    (University Autonomous of Barcelona)

Abstract

Most research on user-generated content (UGC) has focused on readers of comments and reviews. However, very little research is aimed at profiling travelers based on the extent to which their decisions regarding the choice of hotels are influenced by UGC. This research was therefore carried out to profile tourists based on the extent to which their choices of hotels are influenced by different types of peer-to-peer applications, while also considering their socio-demographic characteristics, frequency of travel, and motivations for using the Internet and UGC when making their travel choices. For this purpose, latent class segmentation was applied on a sample of 607 Italian tourists, and three clusters were identified: “digitally passive tourists”, “focused tourists”, and “social tourists”. Wald and Chi-square tests revealed significant differences among the three clusters based on all the variables considered in the study. Its findings suggest that hospitality marketers should run their social media strategy by focusing their attention on Travel 2.0 applications according to the socio-demographic and behavioral characteristics of their target market. Contributions to the body of knowledge and suggestions for further research are given.

Suggested Citation

  • Giacomo Del Chiappa & Carlota Lorenzo-Romero & María-del-Carmen Alarcón-del-Amo, 2015. "The Influence of User-Generated Content on Tourists’ Choices," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 27(2), pages 221-236.
  • Handle: RePEc:zag:market:v:27:y:2015:i:2:p:221-236
    as

    Download full text from publisher

    File URL: http://hrcak.srce.hr/file/222598
    Download Restriction: None
    ---><---

    References listed on IDEAS

    as
    1. Ayeh, Julian K. & Au, Norman & Law, Rob, 2013. "Predicting the intention to use consumer-generated media for travel planning," Tourism Management, Elsevier, vol. 35(C), pages 132-143.
    2. Beatty, Sharon E & Smith, Scott M, 1987. "External Search Effort: An Investigation across Several Product Categories," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(1), pages 83-95, June.
    3. Wadim Strielkowski & Jing Wang & Stephen Platt, 2013. "Consumer preferences for cultural heritage and tourism e-sevices: A case study of three European cities," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 25(2), pages 161-176.
    4. Sparks, Beverley A. & Browning, Victoria, 2011. "The impact of online reviews on hotel booking intentions and perception of trust," Tourism Management, Elsevier, vol. 32(6), pages 1310-1323.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Evangelinos, Christos & Obermeyer, Andy & Bartel, Aaron, 2020. "The individual monetary valuation of online hotel ratings," IU Discussion Papers - Hospitality, Tourism & Event 3/2020, IU International University of Applied Sciences.
    2. Thao Thanh Thi Nguyen & Shurong Tong, 2023. "The impact of user-generated content on intention to select a travel destination," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 443-457, September.

    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. Sharma, Mahak & Antony, Rose & Sehrawat, Rajat & Cruz, Angel Contreras & Daim, Tugrul U., 2022. "Exploring post-adoption behaviors of e-service users: Evidence from the hospitality sector /online travel services," Technology in Society, Elsevier, vol. 68(C).
    2. Wu, Laurie & Shen, Han & Fan, Alei & Mattila, Anna S., 2017. "The impact of language style on consumers′ reactions to online reviews," Tourism Management, Elsevier, vol. 59(C), pages 590-596.
    3. Amaro, Suzanne & Duarte, Paulo & Henriques, Carla, 2016. "Travelers’ use of social media: A clustering approach," Annals of Tourism Research, Elsevier, vol. 59(C), pages 1-15.
    4. Elvira Ismagilova & Emma L. Slade & Nripendra P. Rana & Yogesh K. Dwivedi, 2020. "The Effect of Electronic Word of Mouth Communications on Intention to Buy: A Meta-Analysis," Information Systems Frontiers, Springer, vol. 22(5), pages 1203-1226, October.
    5. Suzanne Amaro & Paulo Duarte, 2017. "Social media use for travel purposes: a cross cultural comparison between Portugal and the UK," Information Technology & Tourism, Springer, vol. 17(2), pages 161-181, June.
    6. Filieri, Raffaele & Alguezaui, Salma & McLeay, Fraser, 2015. "Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth," Tourism Management, Elsevier, vol. 51(C), pages 174-185.
    7. Filieri, Raffaele, 2016. "What makes an online consumer review trustworthy?," Annals of Tourism Research, Elsevier, vol. 58(C), pages 46-64.
    8. Md. Shahed Mahmud & Md. Nazmul Islam & Md. Rostam Ali & Nadia Mehjabin, 2024. "Impact of Electronic Word of Mouth on Customers’ Buying Intention Considering Trust as a Mediator: A SEM Approach," Global Business Review, International Management Institute, vol. 25(2_suppl), pages 184-198, April.
    9. Elvira Ismagilova & Emma L. Slade & Nripendra P. Rana & Yogesh K. Dwivedi, 0. "The Effect of Electronic Word of Mouth Communications on Intention to Buy: A Meta-Analysis," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    10. Peng Cheng & Zhe Ouyang & Yang Liu, 0. "The effect of information overload on the intention of consumers to adopt electric vehicles," Transportation, Springer, vol. 0, pages 1-20.
    11. Ishani Chaudhuri & Parthajit Kayal, 2022. "Predicting Power of Ticker Search Volume in Indian Stock Market," Working Papers 2022-214, Madras School of Economics,Chennai,India.
    12. Gaurav Khatwani & Gopal Das, 2016. "Evaluating combination of individual pre-purchase internet information channels using hybrid fuzzy MCDM technique: demographics as moderators," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 12(1), pages 28-49.
    13. Book, Laura A. & Tanford, Sarah & Chang, Wen, 2018. "Customer reviews are not always informative: The impact of effortful versus heuristic processing," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 272-280.
    14. Yadav, Manjit S. & de Valck, Kristine & Hennig-Thurau, Thorsten & Hoffman, Donna L. & Spann, Martin, 2013. "Social Commerce: A Contingency Framework for Assessing Marketing Potential," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 311-323.
    15. Zuo, Wenming & Bai, Weijing & Zhu, Wenfeng & He, Xinming & Qiu, Xinxin, 2022. "Changes in service quality of sharing accommodation: Evidence from airbnb," Technology in Society, Elsevier, vol. 71(C).
    16. Songhong Chen & Jian Ming Luo, 2023. "Understand Delegates Risk Attitudes and Behaviour: The Moderating Effect of Trust in COVID-19 Vaccination," IJERPH, MDPI, vol. 20(5), pages 1-18, February.
    17. Namwoon Kim & Jin K. Han & Rajendra K. Srivastava, 2002. "A Dynamic IT Adoption Model for the SOHO Market: PC Generational Decisions with Technological Expectations," Management Science, INFORMS, vol. 48(2), pages 222-240, February.
    18. Isaac Taberner & Albert Juncà, 2021. "Small-Scale Sport Events as Place Branding Platforms: A Content Analysis of Osona’s Projected Destination Image through Event-Related Pictures on Instagram," Sustainability, MDPI, vol. 13(21), pages 1-21, November.
    19. Pham Minh & Dang Thao Yen & Ngo Thi Huong Quynh & Hoang Thi Hong Yen & Tran Thi Thanh Nga & Nguyen Van Quoc, 2021. "Assessment of influencer’s effects on customers’ online purchasing behavior in Vietnam," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ECONOMICS AND BUSINESS ADMINISTRATION, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 11(2), pages 81-96.
    20. Claudia Seabra & Luis Filipe Lages & Jose Luis Abrantes, 2003. "The infosource scale: a measure to assess the importance of external tourism information sources," Nova SBE Working Paper Series wp440, Universidade Nova de Lisboa, Nova School of Business and Economics.

    More about this item

    Statistics

    Access and download statistics

    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:zag:market:v:27:y:2015:i:2:p:221-236. 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: Tanja Komarac (email available below). General contact details of provider: https://edirc.repec.org/data/fefzghr.html .

    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.