IDEAS home Printed from https://ideas.repec.org/a/eee/touman/v32y2011i1p106-113.html
   My bibliography  Save this article

The perceived usefulness of blog postings: An extension of the expectancy-disconfirmation paradigm

Author

Listed:
  • Zehrer, Anita
  • Crotts, John C.
  • Magnini, Vincent P.

Abstract

Today millions of consumers connect with one another on travel blogs as both contributors and users. Contributors share detailed narratives of their recent experience with specific hotels/resorts leading to recommendations, while users acquire information from them to base their purchase decisions on. Hotel managers carefully monitor what previous guests say in the evaluations assuming that negative evaluations will deter future customers. Framed in the expectancy-disconfirmation paradigm, this study focused on clarifying the impact consumers who post on travel blogs have on blog users by analyzing user reactions to 134 travel matched blog recommendations. Findings demonstrate that as expected a higher percentage of blog users find multiple evaluations that are congruent with one another (both negative and positive) helpful, and that negative postings were not necessarily bad if followed by a positive counter reaction. Furthermore, the paper addresses the issue of deception attempting to determine if it exists and what effect it has on the web 2.0 medium. Implications for managers and researchers are discussed.

Suggested Citation

  • Zehrer, Anita & Crotts, John C. & Magnini, Vincent P., 2011. "The perceived usefulness of blog postings: An extension of the expectancy-disconfirmation paradigm," Tourism Management, Elsevier, vol. 32(1), pages 106-113.
  • Handle: RePEc:eee:touman:v:32:y:2011:i:1:p:106-113
    DOI: 10.1016/j.tourman.2010.06.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S026151771000124X
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.tourman.2010.06.013?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
    ---><---

    References listed on IDEAS

    as
    1. Goodwin, Cathy & Ross, Ivan, 1992. "Consumer responses to service failures: Influence of procedural and interactional fairness perceptions," Journal of Business Research, Elsevier, vol. 25(2), pages 149-163, September.
    2. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    3. Lina Zhou & Judee K. Burgoon & Jay F. Nunamaker & Doug Twitchell, 2004. "Automating Linguistics-Based Cues for Detecting Deception in Text-Based Asynchronous Computer-Mediated Communications," Group Decision and Negotiation, Springer, vol. 13(1), pages 81-106, January.
    4. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    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. Marco Rossetti & Fabio Stella & Markus Zanker, 2016. "Analyzing user reviews in tourism with topic models," Information Technology & Tourism, Springer, vol. 16(1), pages 5-21, March.
    2. Purnawirawan, Nathalia & Eisend, Martin & De Pelsmacker, Patrick & Dens, Nathalie, 2015. "A Meta-analytic Investigation of the Role of Valence in Online Reviews," Journal of Interactive Marketing, Elsevier, vol. 31(C), pages 17-27.
    3. Coghlan, Alexandra & Filo, Kevin, 2013. "Using constant comparison method and qualitative data to understand participants' experiences at the nexus of tourism, sport and charity events," Tourism Management, Elsevier, vol. 35(C), pages 122-131.
    4. Magno, Francesca, 2017. "The influence of cultural blogs on their readers’ cultural product choices," International Journal of Information Management, Elsevier, vol. 37(3), pages 142-149.
    5. Chen, Jinyan & Becken, Susanne & Stantic, Bela, 2022. "Assessing destination satisfaction by social media: An innovative approach using Importance-Performance Analysis," Annals of Tourism Research, Elsevier, vol. 93(C).
    6. Xiang, Zheng & Magnini, Vincent P. & Fesenmaier, Daniel R., 2015. "Information technology and consumer behavior in travel and tourism: Insights from travel planning using the internet," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 244-249.
    7. Hyun, Moonsup & Jordan, Jeremy S., 2020. "Athletic goal achievement: A critical antecedent of event satisfaction, re-participation intention, and future exercise intention in participant sport events," Sport Management Review, Elsevier, vol. 23(2), pages 256-270.
    8. Barnes, Stuart J. & Mattsson, Jan, 2017. "Understanding collaborative consumption: Test of a theoretical model," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 281-292.
    9. Bosangit, Carmela & Hibbert, Sally & McCabe, Scott, 2015. "“If I was going to die I should at least be having fun”: Travel blogs, meaning and tourist experience," Annals of Tourism Research, Elsevier, vol. 55(C), pages 1-14.
    10. Bronner, Fred & de Hoog, Robert, 2016. "Travel websites: Changing visits, evaluations and posts," Annals of Tourism Research, Elsevier, vol. 57(C), pages 94-112.
    11. Jacobsen, Jens Kr. Steen & Iversen, Nina M. & Hem, Leif E., 2019. "Hotspot crowding and over-tourism: Antecedents of destination attractiveness," Annals of Tourism Research, Elsevier, vol. 76(C), pages 53-66.

    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. T. Ravichandran & Chaoqun Deng, 2023. "Effects of Managerial Response to Negative Reviews on Future Review Valence and Complaints," Information Systems Research, INFORMS, vol. 34(1), pages 319-341, March.
    2. Floyd, Kristopher & Freling, Ryan & Alhoqail, Saad & Cho, Hyun Young & Freling, Traci, 2014. "How Online Product Reviews Affect Retail Sales: A Meta-analysis," Journal of Retailing, Elsevier, vol. 90(2), pages 217-232.
    3. Fang, Mingyue & Nie, Huihua & Shen, Xinyi, 2023. "Can enterprise digitization improve ESG performance?," Economic Modelling, Elsevier, vol. 118(C).
    4. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    5. Hui, Xiang & Klein, Tobias & Stahl, Konrad, 2022. "Learning from Online Ratings," CEPR Discussion Papers 17006, C.E.P.R. Discussion Papers.
    6. Edgardo Arturo Ayala Gaytán, 2009. "Social network externalities and price dispersion in online markets," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 1-28, November.
    7. Chrysanthos Dellarocas & Charles A. Wood, 2008. "The Sound of Silence in Online Feedback: Estimating Trading Risks in the Presence of Reporting Bias," Management Science, INFORMS, vol. 54(3), pages 460-476, March.
    8. Ravi Bapna & Chrysanthos Dellarocas & Sarah Rice, 2010. "Vertically Differentiated Simultaneous Vickrey Auctions: Theory and Experimental Evidence," Management Science, INFORMS, vol. 56(7), pages 1074-1092, July.
    9. Liuan Wang & Lu (Lucy) Yan & Tongxin Zhou & Xitong Guo & Gregory R. Heim, 2020. "Understanding Physicians’ Online-Offline Behavior Dynamics: An Empirical Study," Information Systems Research, INFORMS, vol. 31(2), pages 537-555, June.
    10. Tobias Gesche, 2022. "Reference‐price shifts and customer antagonism: Evidence from reviews for online auctions," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(3), pages 558-578, August.
    11. Nan Yang & Renyu Zhang, 2022. "Dynamic pricing and inventory management in the presence of online reviews," Production and Operations Management, Production and Operations Management Society, vol. 31(8), pages 3180-3197, August.
    12. Gary E. Bolton & Elena Katok & Axel Ockenfels, 2004. "How Effective Are Electronic Reputation Mechanisms? An Experimental Investigation," Management Science, INFORMS, vol. 50(11), pages 1587-1602, November.
    13. Kenju Kamei & Louis Putterman, 2018. "Reputation Transmission Without Benefit To The Reporter: A Behavioral Underpinning Of Markets In Experimental Focus," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 158-172, January.
    14. Heyes, Anthony & Kapur, Sandeep, 2012. "Angry customers, e-word-of-mouth and incentives for quality provision," Journal of Economic Behavior & Organization, Elsevier, vol. 84(3), pages 813-828.
    15. Nuria Huete-Alcocer & Miguel Ángel Valero-Tévar, 2021. "Impact of Information Sources on Promoting Tourism in a Rural Region: The Case of the Roman Villa of Noheda," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    16. Judy E. Scott & Dawn G. Gregg & Jae Hoon Choi, 2015. "Lemon complaints: When online auctions go sour," Information Systems Frontiers, Springer, vol. 17(1), pages 177-191, February.
    17. Andrew W. Bausch, 2014. "Evolving intergroup cooperation," Computational and Mathematical Organization Theory, Springer, vol. 20(4), pages 369-393, December.
    18. Khim-Yong Goh & Cheng-Suang Heng & Zhijie Lin, 2013. "Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User- and Marketer-Generated Content," Information Systems Research, INFORMS, vol. 24(1), pages 88-107, March.
    19. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    20. Alexia Gaudeul & Katharina Gangl & Oliver Kirchkamp & Louisa Kulke, 2024. "The impact of ethical feedback on moral emotions and managerial behavior: a labor market experiment," Jena Economics Research Papers 2024-002, Friedrich-Schiller-University Jena.

    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:eee:touman:v:32:y:2011:i:1:p:106-113. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/tourism-management .

    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.