IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v13y2023i4p21582440231218270.html
   My bibliography  Save this article

A Hybrid Quantified SWOT Analysis to Label the Competitive Positioning for Theme Parks: A Case Study of Taiwan

Author

Listed:
  • Tien-Yu Lin

Abstract

This paper aimed to explore customer value-driven factors and evaluated competitive positioning to formulate the sustainable business strategy for theme parks in Taiwan. We employed Borda count to obtained the customer value-driven factors. This paper further developed a hybrid quantified SWOT analysis to identify the competitive positioning for the four major theme parks in Taiwan, The findings in this paper were: (1) There are nine customer value-driven factors attributed into the three dimensions of park characteristics, service characteristics, and exogenous characteristics, which are significant important for theme park sustainable survive; (2) Lihpao Resort is located in the first (SO) quadrant with its internal strengths and external opportunities simultaneously but it has less external opportunities; (3) Formosan Aboriginal Culture Village is located in the third (WT) quadrant with its internal weakness and external threats, which has the worst performance compared with other theme parks in this paper; (4) Leafoo Village Theme Park is located in the first (SO) quadrant with its internal strengths and external opportunities, which has less internal strengths compared with Lihpao Resort; and (5) Janfusun Fancy World is located in the fourth (TS) quadrant with its the external threats and internal strengths. Conclusions and suggestions are also discussed.

Suggested Citation

  • Tien-Yu Lin, 2023. "A Hybrid Quantified SWOT Analysis to Label the Competitive Positioning for Theme Parks: A Case Study of Taiwan," SAGE Open, , vol. 13(4), pages 21582440231, December.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:4:p:21582440231218270
    DOI: 10.1177/21582440231218270
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440231218270
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440231218270?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Rifat Sharmelly & Anton Klarin, 2021. "Customer Value Creation for the Emerging Market Middle Class: Perspectives from Case Studies in India," JRFM, MDPI, vol. 14(10), pages 1-18, September.
    2. Bin Li & Tingting Zhang & Nan Hua & Melissa Farboudi Jahromi, 2021. "Developing an overarching framework on theme park research: a critical review method," Current Issues in Tourism, Taylor & Francis Journals, vol. 24(20), pages 2821-2837, October.
    3. Hollebeek, Linda D., 2013. "The customer engagement/value interface: An exploratory investigation," Australasian marketing journal, Elsevier, vol. 21(1), pages 17-24.
    4. Eugene W. Anderson & Mary W. Sullivan, 1993. "The Antecedents and Consequences of Customer Satisfaction for Firms," Marketing Science, INFORMS, vol. 12(2), pages 125-143.
    5. Le Breton, Michel & Truchon, Michel, 1997. "A Borda measure for social choice functions," Mathematical Social Sciences, Elsevier, vol. 34(3), pages 249-272, October.
    6. Jung, Timothy & Chung, Namho & Leue, M. Claudia, 2015. "The determinants of recommendations to use augmented reality technologies: The case of a Korean theme park," Tourism Management, Elsevier, vol. 49(C), pages 75-86.
    7. Shrestha, Ram K. & Alavalapati, Janaki R. R. & Kalmbacher, Robert S., 2004. "Exploring the potential for silvopasture adoption in south-central Florida: an application of SWOT-AHP method," Agricultural Systems, Elsevier, vol. 81(3), pages 185-199, September.
    8. Kuo-Liang Lee & Wen-Chih Huang & Junn-Yuan Teng, 2009. "Locating the competitive relation of global logistics hub using quantitative SWOT analytical method," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(1), pages 87-107, January.
    Full references (including those not matched with items on IDEAS)

    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. Chiu, Candy Lim & Ho, Han-Chiang & Yu, Tiancheng & Liu, Yijun & Mo, Yuwen, 2021. "Exploring information technology success of Augmented Reality Retail Applications in retail food chain," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    2. Philipp Afèche & Mojtaba Araghi & Opher Baron, 2017. "Customer Acquisition, Retention, and Service Access Quality: Optimal Advertising, Capacity Level, and Capacity Allocation," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 674-691, October.
    3. Russell B. Williams & Natasa Slak-Valek, 2019. "Pokémon GO is serious leisure that increases the touristic engagement, physical activity and sense of happiness of players," Information Technology & Tourism, Springer, vol. 21(4), pages 515-533, December.
    4. Hui, Xiang & Klein, Tobias & Stahl, Konrad, 2022. "Learning from Online Ratings," CEPR Discussion Papers 17006, C.E.P.R. Discussion Papers.
    5. Angulo-Ruiz, Fernando & Pergelova, Albena & Cheben, Juraj & Angulo-Altamirano, Eladio, 2016. "A cross-country study of marketing effectiveness in high-credence services," Journal of Business Research, Elsevier, vol. 69(9), pages 3636-3644.
    6. Andreas Herrmann & Michael D. Johnson, 1999. "Die Kundenzufriedenheit als Bestimmungsfaktor der Kundenbindung," Schmalenbach Journal of Business Research, Springer, vol. 51(6), pages 579-598, June.
    7. De Donder, Philippe & Le Breton, Michel & Truchon, Michel, 2000. "Choosing from a weighted tournament1," Mathematical Social Sciences, Elsevier, vol. 40(1), pages 85-109, July.
    8. Jiahui Guo & Younghwan Pan, 2023. "What Factors Impact Visitors’ Intentions to Use Location-Based AR Games? An Empirical Study from Chinese Cultural Heritage Sites," Sustainability, MDPI, vol. 15(19), pages 1-18, September.
    9. Yeung, Matthew C.H. & Ramasamy, Bala & Chen, Junsong & Paliwoda, Stan, 2013. "Customer satisfaction and consumer expenditure in selected European countries," International Journal of Research in Marketing, Elsevier, vol. 30(4), pages 406-416.
    10. Vishal Gaur & Young-Hoon Park, 2007. "Asymmetric Consumer Learning and Inventory Competition," Management Science, INFORMS, vol. 53(2), pages 227-240, February.
    11. Yanlong Guo & Jiaying Yu & Han Zhang & Zuoqing Jiang, 2022. "A Study on Cultural Context Perception in Huizhou Cultural and Ecological Reserve Based on Multi-Criteria Decision Analysis," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    12. Brady, Michael K. & Robertson, Christopher J. & Cronin, J. Joseph, 2001. "Managing behavioral intentions in diverse cultural environments: an investigation of service quality, service value, and satisfaction for American and Ecuadorian fast-food customers," Journal of International Management, Elsevier, vol. 7(2), pages 129-149.
    13. Tae-Seung Park & Jun-Su Kim & Jiyoun Kim, 2021. "The Impact of Perceived Hapkido Service Quality on Exercise Continuation and Recommendation Intentions, with a Focus on Korean Middle and High School Students," Sustainability, MDPI, vol. 13(6), pages 1-10, March.
    14. Heribert Gierl & Gunter Gehrke, 2004. "Kundenbindung in industriellen Zuliefer-Abnehmer-Beziehungen," Schmalenbach Journal of Business Research, Springer, vol. 56(3), pages 203-236, May.
    15. Tingting Song & Jinghua Huang & Yong Tan & Yifan Yu, 2019. "Using User- and Marketer-Generated Content for Box Office Revenue Prediction: Differences Between Microblogging and Third-Party Platforms," Service Science, INFORMS, vol. 30(1), pages 191-203, March.
    16. Ostovan, Nima & Khalili Nasr, Arash, 2022. "The manifestation of luxury value dimensions in brand engagement in self-concept," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    17. Truchon, Michel, 1998. "Figure Skating and the Theory of Social Choice," Cahiers de recherche 9814, Université Laval - Département d'économique.
    18. Dacko, Scott G., 2017. "Enabling smart retail settings via mobile augmented reality shopping apps," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 243-256.
    19. Eelco Kappe & Ashley Stadler Blank & Wayne S. DeSarbo, 2014. "A General Multiple Distributed Lag Framework for Estimating the Dynamic Effects of Promotions," Management Science, INFORMS, vol. 60(6), pages 1489-1510, June.
    20. Madjid Tavana & Mariya Sodenkamp & Leena Suhl, 2010. "A soft multi-criteria decision analysis model with application to the European Union enlargement," Annals of Operations Research, Springer, vol. 181(1), pages 393-421, December.

    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:sae:sagope:v:13:y:2023:i:4:p:21582440231218270. 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: SAGE Publications (email available below). General contact details of provider: .

    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.