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An integrated model for predicting consumer's intention to write online reviews

Author

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  • Dixit, Saumya
  • Jyoti Badgaiyan, Anant
  • Khare, Arpita

Abstract

For marketers, consumers’ increasing use of online reviews in arriving at purchase decisions is a double edged sword. On one hand, it presents opportunity for manufacturers and sellers to be highlighted for their good work, but at the same time, there remains a possibility of negative review impacting goodwill and reputation. Hence, it is important for managers to identify factors that impact consumers’ intentions to write online reviews. This research delves into this aspect by trying to identify the factors that impact reviews writing intentions of consumers for restaurants. The study extends the theory of planned behaviour with additions of variables such as ego involvement, taking vengeance and helping a restaurant. For this, 252 valid responses were obtained, and structural equation modeling was used to test the proposed model. Results indicate that perceived behavioural control, subjective norms, ego involvement and taking vengeance are significant predictors of intention to write online reviews for the restaurants.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:joreco:v:46:y:2019:i:c:p:112-120
    DOI: 10.1016/j.jretconser.2017.10.001
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    References listed on IDEAS

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    2. 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.
    3. Liu, Yong & Gan, Wen-xue & Zhang, Qi, 2021. "Decision-making mechanism of online retailer based on additional online comments of consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    4. Xue Pan & Lei Hou & Kecheng Liu, 2022. "The effect of product distance on the eWOM in recommendation network," Electronic Commerce Research, Springer, vol. 22(3), pages 901-924, September.
    5. Chen, Chunfeng & Lü, Kevin & Zhang, Depeng, 2024. "The impact of self-construal on consumers’ intention to write reviews: A trait activation perspective," Journal of Business Research, Elsevier, vol. 178(C).
    6. 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.
    7. 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).
    8. Yong Liu & Wen‐xue Gan & Wen‐wen Ren, 2021. "Influence mechanism of online consumer comments on e‐retailer," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(5), pages 1132-1145, July.
    9. Argyris, Young Anna & Muqaddam, Aziz & Miller, Steven, 2021. "The effects of the visual presentation of an Influencer's Extroversion on perceived credibility and purchase intentions—moderated by personality matching with the audience," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    10. 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).
    11. Abderahman Rejeb & Alireza Abdollahi & Karim Rejeb & Mohamed M. Mostafa, 2023. "Tracing knowledge evolution flows in scholarly restaurant research: a main path analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2183-2209, June.
    12. 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).
    13. Costa, Ana & Guerreiro, João & Moro, Sérgio & Henriques, Roberto, 2019. "Unfolding the characteristics of incentivized online reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 272-281.
    14. 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).

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