IDEAS home Printed from https://ideas.repec.org/a/eee/anture/v56y2016icp137-140.html
   My bibliography  Save this article

The impact of eWOM density on sales of travel insurance

Author

Listed:
  • Amblee, Naveen

Abstract

No abstract is available for this item.

Suggested Citation

  • Amblee, Naveen, 2016. "The impact of eWOM density on sales of travel insurance," Annals of Tourism Research, Elsevier, vol. 56(C), pages 137-140.
  • Handle: RePEc:eee:anture:v:56:y:2016:i:c:p:137-140
    DOI: 10.1016/j.annals.2015.10.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160738315001486
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.annals.2015.10.008?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. Park, Cheol & Lee, Thae Min, 2009. "Information direction, website reputation and eWOM effect: A moderating role of product type," Journal of Business Research, Elsevier, vol. 62(1), pages 61-67, January.
    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. Caponecchia, Carlo & Tan, David T., 2019. "Exploring the traveller underinsurance problem," Annals of Tourism Research, Elsevier, vol. 76(C), pages 343-345.

    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. Zhang, Jason Q. & Craciun, Georgiana & Shin, Dongwoo, 2010. "When does electronic word-of-mouth matter? A study of consumer product reviews," Journal of Business Research, Elsevier, vol. 63(12), pages 1336-1341, December.
    2. 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.
    3. Weitzl, Wolfgang & Hutzinger, Clemens, 2017. "The effects of marketer- and advocate-initiated online service recovery responses on silent bystanders," Journal of Business Research, Elsevier, vol. 80(C), pages 164-175.
    4. Hsu, Sheila Hsuan-Yu & Tsou, Hung-Tai & Chen, Ja-Shen, 2021. "“Yes, we do. Why not use augmented reality?†customer responses to experiential presentations of AR-based applications," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    5. Tibert Verhagen & Daniel Bloemers, 2018. "Exploring the cognitive and affective bases of online purchase intentions: a hierarchical test across product types," Electronic Commerce Research, Springer, vol. 18(3), pages 537-561, September.
    6. Merle, Aurélie & St-Onge, Anik & Sénécal, Sylvain, 2022. "Does it pay to be honest? The effect of retailer-provided negative feedback on consumers’ product choice and shopping experience," Journal of Business Research, Elsevier, vol. 147(C), pages 532-543.
    7. Yuangao Chen & Shuiqing Yang & Zhoujing Wang, 2016. "Service cooperation and marketing strategies of infomediary and online retailer with eWOM effect," Information Technology and Management, Springer, vol. 17(2), pages 109-118, June.
    8. Kim, Junyong & Gupta, Pranjal, 2012. "Emotional expressions in online user reviews: How they influence consumers' product evaluations," Journal of Business Research, Elsevier, vol. 65(7), pages 985-992.
    9. Roggeveen, Anne L. & Grewal, Dhruv & Karsberg, John & Noble, Stephanie M. & Nordfält, Jens & Patrick, Vanessa M. & Schweiger, Elisa & Soysal, Gonca & Dillard, Annemarie & Cooper, Nora & Olson, Richard, 2021. "Forging meaningful consumer-brand relationships through creative merchandise offerings and innovative merchandising strategies," Journal of Retailing, Elsevier, vol. 97(1), pages 81-98.
    10. Raffaele Filieri & Elisabetta Raguseo & Claudio Vitari, 2018. "What moderates the influence of extremely negative ratings? The role of review and reviewer characteristics," Post-Print halshs-01923196, HAL.
    11. Agnieszka Zablocki & Bodo Schlegelmilch & Michael J. Houston, 2019. "How valence, volume and variance of online reviews influence brand attitudes," AMS Review, Springer;Academy of Marketing Science, vol. 9(1), pages 61-77, June.
    12. Liao, Miyan & Fang, Jiaming & Han, Lintong & Wen, Ling & Zheng, Qiqi & Xia, Guoen, 2023. "Boosting eCommerce sales with livestreaming in B2B marketplace: A perspective on live streamers’ competencies," Journal of Business Research, Elsevier, vol. 167(C).
    13. Ayat Mazin Almahmoud, 2019. "The Impact of Social Media Characteristics and Customer Attitude on EWOM: An Empirical Study in Jordanian Banking Sector," Journal of Social Sciences (COES&RJ-JSS), , vol. 8(2), pages 169-188, April.
    14. Tan, Huimin & Lv, Xingyang & Liu, Xiaoyan & Gursoy, Dogan, 2018. "Evaluation nudge: Effect of evaluation mode of online customer reviews on consumers’ preferences," Tourism Management, Elsevier, vol. 65(C), pages 29-40.
    15. Rishikesh Bhaiswar & N. Meenakshi & Deepak Chawla, 2021. "Evolution of Electronic Word of Mouth: A Systematic Literature Review Using Bibliometric Analysis of 20 Years (2000–2020)," FIIB Business Review, , vol. 10(3), pages 215-231, September.
    16. Heng Tang & Xiaowan Lin, 2019. "Curbing shopping cart abandonment in C2C markets — an uncertainty reduction approach," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(3), pages 533-552, September.
    17. Chen, Jie & Teng, Lefa & Yu, Ying & Yu, Xueer, 2016. "The effect of online information sources on purchase intentions between consumers with high and low susceptibility to informational influence," Journal of Business Research, Elsevier, vol. 69(2), pages 467-475.
    18. Zhao, Haichuan & Jiang, Lan & Su, Chenting, 2020. "To Defend or Not to Defend? How Responses to Negative Customer Review Affect Prospective customers' Distrust and Purchase Intention," Journal of Interactive Marketing, Elsevier, vol. 50(C), pages 45-64.
    19. Cheng, Yi-Hsiu & Ho, Hui-Yi, 2015. "Social influence's impact on reader perceptions of online reviews," Journal of Business Research, Elsevier, vol. 68(4), pages 883-887.
    20. Koji Ishida & Lisa Slevitch & Katia Siamionava, 2016. "The Effects of Traditional and Electronic Word-of-Mouth on Destination Image: A Case of Vacation Tourists Visiting Branson, Missouri," Administrative Sciences, MDPI, vol. 6(4), pages 1-17, September.

    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:eee:anture:v:56:y:2016:i:c:p:137-140. 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: http://www.journals.elsevier.com/annals-of-tourism-research/ .

    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.