IDEAS home Printed from https://ideas.repec.org/a/prp/jattij/v14y2021i2p125-136.html
   My bibliography  Save this article

Restart of Hospitality and Tourism: System Dynamics and Scenario-Based Modelling

Author

Listed:
  • Petr Štumpf

    (Prague University of Economics and Business)

  • Jitka Mattyašovská

    (Prague University of Economics and Business)

  • Adriana Krištùfková

    (Prague University of Economics and Business)

Abstract

A tourism destination is defined as an open, complex, and adaptive system, in which numerous relations in the economic, social, and environmental spheres are generated. This paper aims to define a system dynamics model of tourism destination as a complex system and to identify future behaviour of the system after the restart of tourism in the post-COVID-19 era. The main methodological approaches were system dynamics and simulation modelling. The case of a complex tourism system in the South Bohemia Region, the Czech Republic, in the form of a Stocks and Flows Diagram (SFD) is presented in this paper, focusing on the business activities at this tourism destination. The simulation results show the future behaviours of the system in various scenarios and compare the development of several economic indicators. Three possible future scenarios of a restart of the hospitality and tourism industry are compared with the theoretical situation without COVID-19 disease. The proposed system dynamics model contributes to the current theory of tourism destination management systems and can be used practically by destination managers for destination planning and to formulate destination strategies.

Suggested Citation

  • Petr Štumpf & Jitka Mattyašovská & Adriana Krištùfková, 2021. "Restart of Hospitality and Tourism: System Dynamics and Scenario-Based Modelling," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 14(2), pages 125-136.
    • Handle: RePEc:prp:jattij:v:14:y:2021:i:2:p:125-136
    DOI: 10.26493/2335-4194.14.125-136
    as

    Download full text from publisher

    File URL: http://www.hippocampus.si/ISSN/2335-4194/14.125-136.pdf
    File Function: full text in English
    Download Restriction: no
    File URL: https://libkey.io/10.26493/2335-4194.14.125-136?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. Bonham, Carl & Gangnes, Byron & Zhou, Ting, 2009. "Modeling tourism: A fully identified VECM approach," International Journal of Forecasting, Elsevier, vol. 25(3), pages 531-549, July.
    2. Romy Greiner, 2010. "Improving the Net Benefits from Tourism for People Living in Remote Northern Australia," Sustainability, MDPI, vol. 2(7), pages 1-22, July.
    3. Andergassen, Rainer & Candela, Guido & Figini, Paolo, 2013. "An economic model for tourism destinations: Product sophistication and price coordination," Tourism Management, Elsevier, vol. 37(C), pages 86-98.
    4. Liu, Chui-Hua & Tzeng, Gwo-Hshiung & Lee, Ming-Huei, 2012. "Improving tourism policy implementation – The use of hybrid MCDM models," Tourism Management, Elsevier, vol. 33(2), pages 413-426.
    5. Lacitignola, D. & Petrosillo, I. & Cataldi, M. & Zurlini, G., 2007. "Modelling socio-ecological tourism-based systems for sustainability," Ecological Modelling, Elsevier, vol. 206(1), pages 191-204.
    6. Tadeja Jere Jakulin, 2019. "Systems Approach to Cultural Tourism and Events," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 12(2), pages 185-191.
    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. Peter Fuleky & Carl S. Bonham & Qianxue Zhao, 2013. "Estimating Demand Elasticities in Non-Stationary Panels: The Case of Hawaii's Tourism Industry," Working Papers 201314, University of Hawaii at Manoa, Department of Economics.
    2. Rainer Andergassen & Guido Candela & Paolo Figini, 2017. "The management of tourism destinations," Tourism Economics, , vol. 23(1), pages 49-65, February.
    3. E. M. Ekanayake & Mihalis Halkides & John R. Ledgerwood, 2012. "Inbound International Tourism To The United States: A Panel Data Analysis," International Journal of Management and Marketing Research, The Institute for Business and Finance Research, vol. 5(3), pages 15-27.
    4. Lin, Zhibin & Vlachos, Ilias, 2018. "An advanced analytical framework for improving customer satisfaction: A case of air passengers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 185-195.
    5. Kuang-Hua Hu & Wei Jianguo & Gwo-Hshiung Tzeng, 2017. "Risk Factor Assessment Improvement for China’s Cloud Computing Auditing Using a New Hybrid MADM Model," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 737-777, May.
    6. Konan, Denise Eby, 2011. "Limits to growth: Tourism and regional labor migration," Economic Modelling, Elsevier, vol. 28(1), pages 473-481.
    7. Prakoso Havidz Ageng & Syahputri Gusti C. A. & Roziqin Ali & Syaprin Zahidi M., 2023. "Research trajectory on tourism policy: a bibliometric overview," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 13(1), pages 56-66, December.
    8. Azam, Amir & Maqsood, Shafiq Ahmad & Ahmad, Junaid & Din, Muhammad Azhar Ud, 2018. "Economical and Societal Benefits of Tourism (A Case Study of Bomborat Chital)," MPRA Paper 97490, University Library of Munich, Germany, revised 05 Sep 2019.
    9. Tsai, Pei-Hsuan & Kao, Ya-Ling & Kuo, Szu-Yu, 2023. "Exploring the critical factors influencing the outlying island talent recruitment and selection evaluation model: Empirical evidence from Penghu, Taiwan," Evaluation and Program Planning, Elsevier, vol. 99(C).
    10. Luan Chen & Eric Ng & Shyh-Chang Huang & Wei-Ta Fang, 2017. "A Self-Evaluation System of Quality Planning for Tourist Attractions in Taiwan: An Integrated AHP-Delphi Approach from Career Professionals," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    11. Nasrollahi, Maedeh & Ghadikolaei, Abdolhamid Safaei & Ghasemi, Rohollah & Sheykhizadeh, Morteza & Abdi, Mehdi, 2022. "Identification and prioritization of connected vehicle technologies for sustainable development in Iran," Technology in Society, Elsevier, vol. 68(C).
    12. Perez-Mujica, Luisa & Duncan, Roderick & Bossomaier, Terry, 2014. "Using agent-based models to design social marketing campaign," Australasian marketing journal, Elsevier, vol. 22(1), pages 36-44.
    13. T.V. Ramachandra & H. A. Bharath & M. V. Sowmyashree, 2013. "Analysis Of Spatial Patterns Of Urbanisation Using Geoinformatics And Spatial Metrics," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 8(4), pages 5-24, November.
    14. Guido Candela & Massimiliano Castellani & Maurizio Mussoni, 2015. "Keynesian Policies for Tourism: Taxation without Coordination," Tourism Economics, , vol. 21(3), pages 527-541, June.
    15. Yuqian Shi & Sheng Yu & Jie Mei, 2025. "Strategic Decision-Making Enhancement through Graph-Optimized DEMATEL-AHP with Pruning," Group Decision and Negotiation, Springer, vol. 34(1), pages 105-133, February.
    16. repec:hae:wpaper:2013-2 is not listed on IDEAS
    17. Athanasopoulos, George & Hyndman, Rob J. & Song, Haiyan & Wu, Doris C., 2011. "The tourism forecasting competition," International Journal of Forecasting, Elsevier, vol. 27(3), pages 822-844.
    18. Büyüközkan, Gülçin & Güleryüz, Sezin, 2016. "An integrated DEMATEL-ANP approach for renewable energy resources selection in Turkey," International Journal of Production Economics, Elsevier, vol. 182(C), pages 435-448.
    19. Arbieu, Ugo & Grünewald, Claudia & Martín-López, Berta & Schleuning, Matthias & Böhning-Gaese, Katrin, 2018. "Large mammal diversity matters for wildlife tourism in Southern African Protected Areas: Insights for management," Ecosystem Services, Elsevier, vol. 31(PC), pages 481-490.
    20. Divino, Jose Angelo & McAleer, Michael, 2010. "Modelling and forecasting daily international mass tourism to Peru," Tourism Management, Elsevier, vol. 31(6), pages 846-854.
    21. Gerarda Fattoruso & Maria Grazia Olivieri, 2023. "Checking consistency for Group-PAHP: a case study of tourism facilities in COVID-19 pandemic," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 497-515, October.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:prp:jattij:v:14:y:2021:i:2:p:125-136. 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: Alen Jezovnik (email available below). General contact details of provider: http://academica.turistica.si .

    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.