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Analysis of tour values to develop enablers using an interpretive hierarchy-based model in Taiwan

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  • Lin, Ling-Zhong
  • Yeh, Huery-Ren

Abstract

Tourism experiences in natural landscapes are considered an integral component of tourism value. Tourism experiences can also create a link between an individual and his or her spiritual needs. Thus, this study aims to utilize an effective approach to interpret individual, subjective human experiences in natural environments using interpretive structural modeling. This technique is used to build a hierarchy-based model and determine the mutual relationships among the enablers of tour value. In addition, this study uses the Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis to analyze the degree of influence of these factors and their degree of dependence on each other. To collect the empirical data, questionnaires were distributed to visitors at Grand Gangshan, a tourist destination in northeastern Kaohsiung, Taiwan. The results show that particular enablers (Internet marketing, the establishment of sales locations and planning for travel information services) have a high degree of influence and exhibit low dependence. These enablers require a great deal of attention because of their strategic importance to tourism development. The approach employed in this study provides a very useful tool for travel authorities to use to differentiate between the independent and dependent variables affecting tour value and to identify the relationships among those variables. Using this approach will allow the actors in this industry to focus on the most important variables for promoting the visitor experience in natural settings.

Suggested Citation

  • Lin, Ling-Zhong & Yeh, Huery-Ren, 2013. "Analysis of tour values to develop enablers using an interpretive hierarchy-based model in Taiwan," Tourism Management, Elsevier, vol. 34(C), pages 133-144.
    • Handle: RePEc:eee:touman:v:34:y:2013:i:c:p:133-144
    DOI: 10.1016/j.tourman.2012.04.004
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    Cited by:

    1. Chuanmin Mi & Yetian Chen & Chiung-Shu Cheng & Joselyne Lucky Uwanyirigira & Ching-Torng Lin, 2019. "Exploring the Determinants of Hot Spring Tourism Customer Satisfaction: Causal Relationships Analysis Using ISM," Sustainability, MDPI, vol. 11(9), pages 1-20, May.
    2. Khan, Imran & Rahman, Zillur, 2015. "Brand experience anatomy in retailing: An interpretive structural modeling approach," Journal of Retailing and Consumer Services, Elsevier, vol. 24(C), pages 60-69.
    3. María Belén Gómez-Martín, 2019. "Hiking Tourism in Spain: Origins, Issues and Transformations," Sustainability, MDPI, vol. 11(13), pages 1-13, July.
    4. Alessandro Crivellari & Euro Beinat, 2020. "LSTM-Based Deep Learning Model for Predicting Individual Mobility Traces of Short-Term Foreign Tourists," Sustainability, MDPI, vol. 12(1), pages 1-18, January.
    5. Yingmei Wei & Diwei Fan & Binyuan Zhang & Ting Li & Yuqiang Feng, 2024. "How to improve tourists’ trust in official tourism destination websites in China—an empirical research based on CV and PASP," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    6. Zheng, Weimin & Huang, Xiaoting & Li, Yuan, 2017. "Understanding the tourist mobility using GPS: Where is the next place?," Tourism Management, Elsevier, vol. 59(C), pages 267-280.
    7. Naim Ahmad & Ayman Qahmash, 2021. "SmartISM: Implementation and Assessment of Interpretive Structural Modeling," Sustainability, MDPI, vol. 13(16), pages 1-27, August.
    8. Phillips, Paul & Moutinho, Luiz, 2014. "Critical review of strategic planning research in hospitality and tourism," Annals of Tourism Research, Elsevier, vol. 48(C), pages 96-120.

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