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Research on the Impact of Popular Tourism Program Involvement on Rural Tourism Image, Familiarity, Motivation and Willingness

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  • Min-Yuan Zheng

    (Wuhan Institute of Technology, School of Art & Design, Wuhan 430205, China)

  • Chao-Chien Chen

    (Department of Leisure and Recreation Management, Asia University, Taichung 41354, Taiwan)

  • Hsiao-Hsien Lin

    (Department of Leisure Industry Management, National Chin-Yi University of Technology, Taichung 41170, Taiwan)

  • Chih-Hung Tseng

    (Department of Leisure and Recreation Management, Asia University, Taichung 41354, Taiwan)

  • Chin-Hsien Hsu

    (Department of Leisure Industry Management, National Chin-Yi University of Technology, Taichung 41170, Taiwan)

Abstract

The purpose of this study was to investigate the influence of people’s involvement in tourism programs on the imagination and familiarity of rural tourism destinations, as well as the motivation and desire to visit them. The results were validated by using SPSS 22.0 and AMOS 21.0 statistical software to calculate and analyze the samples and to explore and infer the causal relationships. The results showed that: the degree of travel program involvement significantly correlated with familiarity and imagery of the destination ( p < 0.000), and the degrees of familiarity and imagery of the destination also significantly correlated with motivation to travel ( p < 0.000), and, lastly, the higher the motivation to travel in the last village, the greater the desire to travel ( p < 0.000).

Suggested Citation

  • Min-Yuan Zheng & Chao-Chien Chen & Hsiao-Hsien Lin & Chih-Hung Tseng & Chin-Hsien Hsu, 2021. "Research on the Impact of Popular Tourism Program Involvement on Rural Tourism Image, Familiarity, Motivation and Willingness," Sustainability, MDPI, vol. 13(9), pages 1-19, April.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:4906-:d:544595
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    2. Setiawan Priatmoko & Moaaz Kabil & Ali Akaak & Zoltán Lakner & Csaba Gyuricza & Lóránt Dénes Dávid, 2023. "Understanding the Complexity of Rural Tourism Business: Scholarly Perspective," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
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    4. Gongyi Jiang & Weijun Gao & Meng Xu & Mingjia Tong & Zhonghui Liu, 2023. "Geographic Information Visualization and Sustainable Development of Low-Carbon Rural Slow Tourism under Artificial Intelligence," Sustainability, MDPI, vol. 15(4), pages 1-24, February.

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