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The Impact of Consumer’s Adaptation to the Creative Culture of Theme Parks on Review Usefulness

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Listed:
  • Shugang Li

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Qian Dou

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Hui Chen

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Zhaoxu Yu

    (Department of Automation, East China University of Science and Technology, Shanghai 200237, China)

Abstract

In the era of information overload and repetitive reviews, there has been limited exploration into the influence of consumers’ cultural adaptation to creative symbols in theme parks on the usefulness of online reviews, which is significant for enhancing tourism experiences, targeted marketing, personalized services, and informed tourism choices. This study aims to bridge this gap by examining how cultural adaptation factors interact and impact the review usefulness, and by considering the role of cultural adaptation in simplifying information during consumer decision-making processes. Additionally, the study investigates how consumers’ decision reference points, represented by advanced ticket levels, moderate their attention to attribute consistency when evaluating the review usefulness. A sample of 5929 valid consumer reviews of Disney theme parks from 2019 to 2022 on Meituan.com is analyzed using latent semantic analysis and Tobit regression to test the proposed hypotheses. We find that high symbolic creativity reviews stimulate cultural adaptation and increase attention to service attributes when evaluating review usefulness. Moreover, advanced ticket levels do not moderate the usefulness of extremely negative reviews. However, they do have a moderating effect on the usefulness of extremely positive reviews, with the direction of moderation differing based on the levels of symbolic creativity.

Suggested Citation

  • Shugang Li & Qian Dou & Hui Chen & Zhaoxu Yu, 2023. "The Impact of Consumer’s Adaptation to the Creative Culture of Theme Parks on Review Usefulness," Sustainability, MDPI, vol. 15(17), pages 1-26, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:12859-:d:1224975
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    References listed on IDEAS

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    1. Russo, J Edward & Leclerc, France, 1994. "An Eye-Fixation Analysis of Choice Processes for Consumer Nondurables," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(2), pages 274-290, September.
    2. Jiang, Hong & Ren, Xinhui, 2019. "Model of passenger behavior choice under flight delay based on dynamic reference point," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 51-60.
    3. 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.
    4. Dong, Ping & Siu, Noel Yee-Man, 2013. "Servicescape elements, customer predispositions and service experience: The case of theme park visitors," Tourism Management, Elsevier, vol. 36(C), pages 541-551.
    5. Liu, Zhiwei & Park, Sangwon, 2015. "What makes a useful online review? Implication for travel product websites," Tourism Management, Elsevier, vol. 47(C), pages 140-151.
    6. Bettman, James R & Luce, Mary Frances & Payne, John W, 1998. "Constructive Consumer Choice Processes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(3), pages 187-217, December.
    7. Shu-Hua Chang, 2022. "Eliciting Brand Loyalty with Elements of Customer Experience: A Case Study on the Creative Life Industry," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
    8. Chen, Ching-Fu & Phou, Sambath, 2013. "A closer look at destination: Image, personality, relationship and loyalty," Tourism Management, Elsevier, vol. 36(C), pages 269-278.
    9. Kim, Junghun & Park, Stephen Youngjun & Lee, Jongsu, 2018. "Do people really want renewable energy? Who wants renewable energy?: Discrete choice model of reference-dependent preference in South Korea," Energy Policy, Elsevier, vol. 120(C), pages 761-770.
    10. Johnson, Michael D, 1984. "Consumer Choice Strategies for Comparing Noncomparable Alternatives," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(3), pages 741-753, December.
    Full references (including those not matched with items on IDEAS)

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