IDEAS home Printed from https://ideas.repec.org/a/eee/anture/v73y2018icp171-179.html
   My bibliography  Save this article

How handwriting reduces negative online ratings

Author

Listed:
  • Tassiello, Vito
  • Viglia, Giampaolo
  • Mattila, Anna S.

Abstract

This research investigates whether handwriting during the tourism experience reduces subsequent negative and extreme online rating scores. We portray that handwriting, due to a more deeply rooted elaboration of information, activates emotional empathy. Study 1, a field experiment in the hospitality context, suggests that handwriting reduces the extremeness of subsequent online rating scores. Study 2 compares handwritten vs. typed comments and complements the initial findings by clarifying the mediating role of emotional empathy on this relationship. We discuss the boundary conditions for the effect and offer practical implications on how to nudge tourists to reduce negative online rating scores. Hotel operators should use their enhanced emotional bonding with tourists when competing with peer-to-peer operators.

Suggested Citation

  • Tassiello, Vito & Viglia, Giampaolo & Mattila, Anna S., 2018. "How handwriting reduces negative online ratings," Annals of Tourism Research, Elsevier, vol. 73(C), pages 171-179.
  • Handle: RePEc:eee:anture:v:73:y:2018:i:c:p:171-179
    DOI: 10.1016/j.annals.2018.05.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160738318300495
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.annals.2018.05.007?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. Gruen, Thomas W. & Osmonbekov, Talai & Czaplewski, Andrew J., 2006. "eWOM: The impact of customer-to-customer online know-how exchange on customer value and loyalty," Journal of Business Research, Elsevier, vol. 59(4), pages 449-456, April.
    2. Russell W. Belk, 2013. "Extended Self in a Digital World," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(3), pages 477-500.
    3. Kim, Sangkyun, 2012. "Audience involvement and film tourism experiences: Emotional places, emotional experiences," Tourism Management, Elsevier, vol. 33(2), pages 387-396.
    4. Keri L. Kettle & Gerald Häubl, 2011. "The Signature Effect: Signing Influences Consumption-Related Behavior by Priming Self-Identity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 38(3), pages 474-489.
    5. Nikolay Archak & Anindya Ghose & Panagiotis G. Ipeirotis, 2011. "Deriving the Pricing Power of Product Features by Mining Consumer Reviews," Management Science, INFORMS, vol. 57(8), pages 1485-1509, August.
    6. Park, Sangwon & Nicolau, Juan L., 2017. "Effects of general and particular online hotel ratings," Annals of Tourism Research, Elsevier, vol. 62(C), pages 114-116.
    7. Tucker, Hazel, 2016. "Empathy and tourism: Limits and possibilities," Annals of Tourism Research, Elsevier, vol. 57(C), pages 31-43.
    8. Lee, Jung Eun & Watkins, Brandi, 2016. "YouTube vloggers' influence on consumer luxury brand perceptions and intentions," Journal of Business Research, Elsevier, vol. 69(12), pages 5753-5760.
    9. Wendy W. Moe & David A. Schweidel, 2012. "Online Product Opinions: Incidence, Evaluation, and Evolution," Marketing Science, INFORMS, vol. 31(3), pages 372-386, May.
    10. Duncan J. Watts, 2007. "A twenty-first century science," Nature, Nature, vol. 445(7127), pages 489-489, February.
    11. Holbrook, Morris B, 1999. "Popular Appeal versus Expert Judgments of Motion Pictures," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(2), pages 144-155, September.
    12. Font, Xavier & Garay, Lluis & Jones, Steve, 2016. "A Social Cognitive Theory of sustainability empathy," Annals of Tourism Research, Elsevier, vol. 58(C), pages 65-80.
    13. Gremler, Dwayne D. & Gwinner, Kevin P., 2008. "Rapport-Building Behaviors Used by Retail Employees," Journal of Retailing, Elsevier, vol. 84(3), pages 308-324.
    14. Park, Sangwon & Nicolau, Juan L., 2015. "Asymmetric effects of online consumer reviews," Annals of Tourism Research, Elsevier, vol. 50(C), pages 67-83.
    15. Babin, Barry J. & Attaway, Jill S., 2000. "Atmospheric Affect as a Tool for Creating Value and Gaining Share of Customer," Journal of Business Research, Elsevier, vol. 49(2), pages 91-99, August.
    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. Bresciani, Stefano & Ferraris, Alberto & Santoro, Gabriele & Premazzi, Katia & Quaglia, Roberto & Yahiaoui, Dorra & Viglia, Giampaolo, 2021. "The seven lives of Airbnb. The role of accommodation types," Annals of Tourism Research, Elsevier, vol. 88(C).
    2. Viglia, Giampaolo & Dolnicar, Sara, 2020. "A review of experiments in tourism and hospitality," Annals of Tourism Research, Elsevier, vol. 80(C).
    3. Liu, Stephanie Q. & Choi, Sungwoo & Mattila, Anna S., 2019. "Love is in the menu: Leveraging healthy restaurant brands with handwritten typeface," Journal of Business Research, Elsevier, vol. 98(C), pages 289-298.
    4. Yu, Xi & Huang, Huiling & Liu, Stephanie Q. & Lu, Zhi, 2020. "Signaling authenticity of ethnic cuisines via handwriting," Annals of Tourism Research, Elsevier, vol. 85(C).
    5. Pera, Rebecca & Viglia, Giampaolo & Grazzini, Laura & Dalli, Daniele, 2019. "When empathy prevents negative reviewing behavior," Annals of Tourism Research, Elsevier, vol. 75(C), pages 265-278.
    6. Fang, Shujie & Zhang, Chun & Li, Yaoqi, 2020. "Physical attractiveness of service employees and customer engagement in tourism industry," Annals of Tourism Research, Elsevier, vol. 80(C).

    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. 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.
    2. King, Robert Allen & Racherla, Pradeep & Bush, Victoria D., 2014. "What We Know and Don't Know About Online Word-of-Mouth: A Review and Synthesis of the Literature," Journal of Interactive Marketing, Elsevier, vol. 28(3), pages 167-183.
    3. Ana Babić Rosario & Kristine Valck & Francesca Sotgiu, 2020. "Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 422-448, May.
    4. Young Joon Park & Jaewoo Joo & Charin Polpanumas & Yeujun Yoon, 2021. "“Worse Than What I Read?” The External Effect of Review Ratings on the Online Review Generation Process: An Empirical Analysis of Multiple Product Categories Using Amazon.com Review Data," Sustainability, MDPI, vol. 13(19), pages 1-22, September.
    5. Koivisto, Elina & Mattila, Pekka, 2020. "Extending the luxury experience to social media – User-Generated Content co-creation in a branded event," Journal of Business Research, Elsevier, vol. 117(C), pages 570-578.
    6. Adongo, Charles A. & Taale, Francis & Adam, Issahaku, 2018. "Tourists' values and empathic attitude toward sustainable development in tourism," Ecological Economics, Elsevier, vol. 150(C), pages 251-263.
    7. Christof Naumzik & Stefan Feuerriegel & Markus Weinmann, 2022. "I Will Survive: Predicting Business Failures from Customer Ratings," Marketing Science, INFORMS, vol. 41(1), pages 188-207, January.
    8. Yi-Fen Chen & Shi-Han Chang, 2016. "The online framing effect: the moderating role of warning, brand familiarity, and product type," Electronic Commerce Research, Springer, vol. 16(3), pages 355-374, September.
    9. Daniel Kaimann, 2020. "Behind the Review Curtain: Decomposition of Online Consumer Ratings in Peer-to-Peer Markets," Sustainability, MDPI, vol. 12(15), pages 1-17, July.
    10. Weijia (Daisy) Dai & Ginger Jin & Jungmin Lee & Michael Luca, 2018. "Aggregation of consumer ratings: an application to Yelp.com," Quantitative Marketing and Economics (QME), Springer, vol. 16(3), pages 289-339, September.
    11. Schaer, Oliver & Kourentzes, Nikolaos & Fildes, Robert, 2019. "Demand forecasting with user-generated online information," International Journal of Forecasting, Elsevier, vol. 35(1), pages 197-212.
    12. Yabing Jiang & Hong Guo, 2015. "Design of Consumer Review Systems and Product Pricing," Information Systems Research, INFORMS, vol. 26(4), pages 714-730, December.
    13. Colmekcioglu, Nazan & Marvi, Reza & Foroudi, Pantea & Okumus, Fevzi, 2022. "Generation, susceptibility, and response regarding negativity: An in-depth analysis on negative online reviews," Journal of Business Research, Elsevier, vol. 153(C), pages 235-250.
    14. Warut Khern-am-nuai & Karthik Kannan & Hossein Ghasemkhani, 2018. "Extrinsic versus Intrinsic Rewards for Contributing Reviews in an Online Platform," Information Systems Research, INFORMS, vol. 29(4), pages 871-892, December.
    15. Rémi Mencarelli & Carole Lombart, 2017. "Influences of the perceived value on actual repurchasing behavior: Empirical exploration in a retailing context," Post-Print hal-01592035, HAL.
    16. Liu-Thompkins, Yuping & Khoshghadam, Leila & Attar Shoushtari, Arjang & Zal, Saeed, 2022. "What drives retailer loyalty? A meta-analysis of the role of cognitive, affective, and social factors across five decades," Journal of Retailing, Elsevier, vol. 98(1), pages 92-110.
    17. Soumya Mukhopadhyay & V Kumar & Amalesh Sharma & Tuck Siong Chung, 2022. "Impact of review narrativity on sales in a competitive environment," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2538-2556, June.
    18. Manes, Eran & Tchetchik, Anat, 2018. "The role of electronic word of mouth in reducing information asymmetry: An empirical investigation of online hotel booking," Journal of Business Research, Elsevier, vol. 85(C), pages 185-196.
    19. Qiao, Guanghui & Song, Hanqi & Prideaux, Bruce & Huang, Songshan (Sam), 2023. "The “unseen” tourism: Travel experience of people with visual impairment," Annals of Tourism Research, Elsevier, vol. 99(C).
    20. Minnema, Alec & Bijmolt, Tammo H.A. & Gensler, Sonja & Wiesel, Thorsten, 2016. "To Keep or Not to Keep: Effects of Online Customer Reviews on Product Returns," Journal of Retailing, Elsevier, vol. 92(3), pages 253-267.

    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:73:y:2018:i:c:p:171-179. 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.