IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i8p4612-d792334.html
   My bibliography  Save this article

Do Online Reviews Encourage Customers to Write Online Reviews? A Longitudinal Study

Author

Listed:
  • Yingxue Xia

    (Department of International Finance, School of Business, Zhejiang University City College, Hangzhou 310015, China)

  • Hong-Youl Ha

    (Department of International Trade, Dongguk University, Seoul 04620, Korea)

Abstract

This study examines the nature of online reviews to explain changes in satisfaction, trust, and consumer intent to write a review during restaurant revisit stages. Using a data set of two-time lags, the findings show that the impact of online reviews on customer satisfaction, trust, and consumer intent to write a review decreases or dilutes over time. More specifically, the effect of online reviews in T + 1 diminishes as consumers experience a particular restaurant compared to when they initially encountered the review. Our findings also show that the impacts of online reviews on satisfaction and trust gradually decrease over time. However, the relationship between online reviews and trust is only significant in T + 1. Additionally, the effect of trust on customer intent to write a review initially increases (T) and then, gradually drops over time (T + 1). Finally, this study proposes guidelines for improving theoretical and practical insights across consumption experience stages.

Suggested Citation

  • Yingxue Xia & Hong-Youl Ha, 2022. "Do Online Reviews Encourage Customers to Write Online Reviews? A Longitudinal Study," Sustainability, MDPI, vol. 14(8), pages 1-12, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4612-:d:792334
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/8/4612/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/8/4612/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thakur, Rakhi, 2018. "Customer engagement and online reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 48-59.
    2. Dixit, Saumya & Jyoti Badgaiyan, Anant & Khare, Arpita, 2019. "An integrated model for predicting consumer's intention to write online reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 112-120.
    3. 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.
    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. Lars Bergkvist & Martin Eisend, 2021. "The dynamic nature of marketing constructs," Journal of the Academy of Marketing Science, Springer, vol. 49(3), pages 521-541, May.
    6. Ziye Shang & Jian Ming Luo, 2022. "Topic Modeling for Hiking Trail Online Reviews: Analysis of the Mutianyu Great Wall," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    7. Johnson, Devon & Grayson, Kent, 2005. "Cognitive and affective trust in service relationships," Journal of Business Research, Elsevier, vol. 58(4), pages 500-507, April.
    8. Felbermayr, Armin & Nanopoulos, Alexandros, 2016. "The Role of Emotions for the Perceived Usefulness in Online Customer Reviews," Journal of Interactive Marketing, Elsevier, vol. 36(C), pages 60-76.
    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. Huifeng Pan & Hong-Youl Ha, 2022. "An Empirical Test of Educational Donors’ Satisfaction Levels in Donating for Education before and after the COVID-19 Era," Sustainability, MDPI, vol. 14(19), pages 1-11, October.
    2. Na Zhang & Ping Yu & Yupeng Li & Wei Gao, 2022. "Research on the Evolution of Consumers’ Purchase Intention Based on Online Reviews and Opinion Dynamics," Sustainability, MDPI, vol. 14(24), pages 1-26, December.

    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. Li-Chen Yu & Chia-Lin Hsu, 2022. "Understanding Users’ Urge to Post Online Reviews: A Study Based on Existence, Relatedness, and Growth Theory," SAGE Open, , vol. 12(4), pages 21582440221, October.
    2. 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.
    3. Le, Loc Tuan & Ly, Pham Thi Minh & Nguyen, Nhan Thanh & Tran, Lobel Trong Thuy, 2022. "Online reviews as a pacifying decision-making assistant," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    4. Khan, Imran & Fatma, Mobin, 2024. "AR app-based brand engagement and outcomes: A moderated mediation approach," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    5. Huang, Jin & Sena, Vania & Li, Jun & Ozdemir, Sena, 2021. "Message framing in P2P lending relationships," Journal of Business Research, Elsevier, vol. 122(C), pages 761-773.
    6. Li, Kunlin & Chen, Yuhan & Zhang, Liyi, 2020. "Exploring the influence of online reviews and motivating factors on sales: A meta-analytic study and the moderating role of product category," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    7. Hu, Xin & He, Liuyi & Liu, Junjun, 2022. "The power of beauty: Be your ideal self in online reviews—an empirical study based on face detection," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    8. Fernandes, Semila & Panda, Rajesh & Venkatesh, V.G. & Swar, Biranchi Narayan & Shi, Yangyan, 2022. "Measuring the impact of online reviews on consumer purchase decisions – A scale development study," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    9. 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).
    10. M. Narciso, 2022. "The Unreliability of Online Review Mechanisms," Journal of Consumer Policy, Springer, vol. 45(3), pages 349-368, September.
    11. 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.
    12. Lee, Liane W.Y. & Tang, Yiming & Yip, Leslie S.C. & Sharma, Piyush, 2018. "Managing customer relationships in the emerging markets – guanxi as a driver of Chinese customer loyalty," Journal of Business Research, Elsevier, vol. 86(C), pages 356-365.
    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. Sarstedt, Marko & Wilczynski, Petra & Melewar, T.C., 2013. "Measuring reputation in global markets—A comparison of reputation measures’ convergent and criterion validities," Journal of World Business, Elsevier, vol. 48(3), pages 329-339.
    15. Osama Sohaib & Kyeong Kang & Mohammad Nurunnabi, 2018. "Gender-Based iTrust in E-Commerce: The Moderating Role of Cognitive Innovativeness," Sustainability, MDPI, vol. 11(1), pages 1-16, December.
    16. 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).
    17. Zur, Andrew & Leckie, Civilai & Webster, Cynthia M., 2012. "Cognitive and affective trust between Australian exporters and their overseas buyers," Australasian marketing journal, Elsevier, vol. 20(1), pages 73-79.
    18. Lionel Nicod & Sylvie Llosa, 2018. "How should customers be trained in their role as coproducers? The influence of training and its characteristics on the benefits of coproduction," Post-Print hal-03513344, HAL.
    19. Fan Zou & Yupeng Li & Jiahuan Huang, 2022. "Group interaction and evolution of customer reviews based on opinion dynamics towards product redesign," Electronic Commerce Research, Springer, vol. 22(4), pages 1131-1151, December.
    20. Gordon Liu & Catherine Liston-Heyes & Wai-Wai Ko, 2010. "Employee Participation in Cause-Related Marketing Strategies: A Study of Management Perceptions from British Consumer Service Industries," Journal of Business Ethics, Springer, vol. 92(2), pages 195-210, March.

    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:gam:jsusta:v:14:y:2022:i:8:p:4612-:d:792334. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.