Managing change in nature-based tourism: A decision-making model using linear programming
-
DOIhttp://dx.doi.org/10.21511/ppm.20(2).2022.17
-
Article InfoVolume 20 2022, Issue #2, pp. 199-219
- Cited by
- 649 Views
-
300 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
In conditions of forced isolation, nature-based tourism meets the needs of safe and comfortable recreation and travel combined with the solution of acute issues of medical treatment and rehabilitation during the pandemic and post-pandemic periods. This study aims to develop a model for decision-making on change management in nature tourism based on the approach of linear economic and mathematical programming. The paper formalized changes in the variability of objective function parameters of the model and the system of its restrictions, following the structure of assets of nature-based tourism, balanced by the sustainability principle. The algorithm for implementing the model includes four stages: collection and processing of relevant data on nature-based tourism; considering changes in the objective function and the system of its limitations; linear programming with variability tests using the simplex method; defining ranges/limits in which decisions are made. The initial data are summarized and averaged based on the primary data analysis on the functioning of sanatoriums and other tourist and recreational facilities in Ukraine. Short-term nature-based tourism is considered, the services of which are classified according to the criterion of the primary purpose of travel: “wow-effect” tourism, sports tourism, health tourism, traditional recreation, and green tourism. The results make it possible to substantiate decisions on changes in recreational land areas and human resources, on the limits of changes in income due to the dynamics of service prices, as well as determine the price range while maintaining income structure and sustainability limits for natural and human assets of nature-based tourism.
Acknowledgment
The paper contains the results of a study conducted under the National Academy of Science of Ukraine’s grant Formation and Use of Natural-Resource Assets of the Recreational and Tourism Sphere (0120U100159) and the Nominal Scholarship of the Verkhovna Rada of Ukraine for Young Scientists-Doctors of Sciences for 2021 (0121U113482).
- Keywords
-
JEL Classification (Paper profile tab)C61, K32, R11, Z32
-
References65
-
Tables16
-
Figures1
-
- Figure 1. Algorithm for change management in the field of nature tourism based on linear programming
-
- Table 1. Final iteration of the spreadsheet according to the standard record format in the linear programming model
- Table 2. Analysis of changes in the price of “wow-effect” of nature tourism services in the final iteration of programming
- Table 3. Analysis of changes in the price of health and medical services in the final iteration of programming
- Table 4. Analysis of changes in the constraints of financial assets of “wow-effect” tourism on the final iteration of programming
- Table 5. Analysis of changes in the limitations of natural assets of “wow-effect” tourism on the final iteration of programming
- Table A1. Input data for the model of change management in the field of nature-based tourism in Ukraine (conditional example)
- Table A2. Iterations of linear programming (destination of nature-based tourism specializing in services of “wow-effect” tourism)
- Table A3. Price variability for traditional recreation services (destination of nature-based “wow-effect” tourism)
- Table A4. Changes in human assets limitations for “wow-effect” tourism destination at the final iteration of programming
- Table A5. Price variability for “wow-effect” tourism services (green tourism destination)
- Table A6. Price variability for sports tourism services (green tourism destination)
- Table A7. Changes in restrictions on natural assets of green tourism destinations in the final iteration of programming
- Table A8. Changes in restrictions on human assets of green tourism destinations in the final iteration of programming
- Table A9. Price variability for “wow-effect” tourism services (destination of health and medical tourism)
- Table A10. Changes in restrictions on human assets of health and medical tourism destinations in the final iteration of programming
- Table A11. Generalized results of change management substantiation in the field of nature-based tourism using the model of linear programming
-
- Ajagunna, I., Pinnock, F., & Kerr, R. (2014). Wilderness tourism – alleviating poverty through empowering local people: A case of Bangor Ridge. Worldwide Hospitality and Tourism Themes, 6(3), 229-243.
- Barrena, E., Laporte, G., Ortega, F. A., & Pozo, M. A. (2016). Planning ecotourism routes in nature parks. In F. Ortegón Gallego, M. Redondo Neble, & J. Rodríguez Galván (Eds.), Trends in Differential Equations and Applications (pp. 189-202). Springer.
- Barrientos, F., Martin, J., De Luca, C., Tondelli, S., Gómez-García-Bermejo, J., & Casanova, E. Z. (2021). Computational methods and rural cultural & natural heritage: A review. Journal of Cultural Heritage, 49, 250-259.
- Belliggiano, A., Garcia, E. C., Labianca, M., Valverde, F. N., & De Rubertis, S. (2020). The “eco-effectiveness” of agritourism dynamics in Italy and Spain: A tool for evaluating regional sustainability. Sustainability, 12(17), 7080.
- Berg, P., Syrjälä, H., & Laaksonen, P. (2014). Natural uniqueness and sustainable tourism business. Small tourism enterprises in the Finnish Kvarken Archipelago World Natural Heritage Site. Management & Avenir, 69(3), 187-203.
- Bertocchi, D., Camatti, N., Giove, S., & van der Borg, J. (2020). Venice and overtourism: Simulating sustainable development scenarios through a tourism carrying capacity model. Sustainability, 12(2), 512.
- Bichler, M. (2017). Market design: a linear programming approach to auctions and matching (297 p.). New York: Cambridge University Press.
- Bitsura-Meszaros, K., Seekamp, E., Davenport, M., & Smith, J. W. (2019). A PGIS-based climate change risk assessment process for outdoor recreation and tourism communities. Sustainability, 11(12), 3300.
- Booking Holdings. (n.d.). Main Page.
- Boyce, J. K. (2001). From natural resources to natural assets. New Solutions: A Journal of Environmental and Occupational Health Policy, 11(3), 267-288.
- Bukša, J., Jugović, A., Schiozzi, D., & Oblak, R. (2019). The compromise model-one way to a better performance of a nautical tourism port. European Transport, 74.
- Burnes, B. (2005). Complexity theories and organizational change. International Journal of Management Reviews, 7(2), 73-90.
- By, R. T., & Dale, C. (2008). The successful management of organizational change in tourism SMEs: Initial findings in UK visitor attractions. International Journal of Tourism Research, 10(4), 305-313.
- Camatti, N., Bertocchi, D., Carić, H., & van der Borg, J. (2020). A digital response system to mitigate overtourism. The case of Dubrovnik. Journal of Travel & Tourism Marketing, 37(8-9), 887-901.
- Condé Nast Traveler. (n.d.). Main Page.
- Csagoly, Z., Sæþórsdóttir, A. D., & Ólafsdóttir, R. (2017). Tourism changing the edge of the wild. Journal of Outdoor Recreation and Tourism, 17, 1-8.
- Danzig, G. B., & Thapa, M. N. (2003). Linear programming 2: Theory and extensions (474 p.). New York: Springer.
- Dogru, T., Marchio, E. A., Bulut, U., & Suess, C. (2019). Climate change: Vulnerability and resilience of tourism and the entire economy. Tourism Management, 72, 292-305.
- Drucker, P. F. (2001). Management challenges for the 21st century (224 p.). New York: Harperbusiness.
- Fedorchenko, V. K., Parubets, O. V., Krasavtceva, L. Yu., Hrybova, L. V., & Kruchek, O. A. (2020). Mechanisms for the integration of tourism systems: Types, problems, prospects. GeoJournal of Tourism and Geosites, 32(4), 1229-1237.
- Graetz, F., & Smith, A. (2010). Managing organizational change: A philosophies of change approach. Journal of Change Management, 10(2), 135-154.
- Henderson, J. C. (2015). The new dynamics of tourism in South East Asia: Economic development, political change and destination competitiveness. Tourism Recreation Research, 40(3), 379-390.
- Hodžić, S., & Alibegović, D. J. (2019). The efficiency of regional government expenditure in smart tourist destination: The case of Croatia. Tourism in South East Europe, 5, 307-318.
- Hosseini, S. M., Paydar, M. M., Alizadeh, M., & Triki, C. (2021). Ecotourism supply chain during the COVID-19 pandemic: A real case study. Applied Soft Computing, 113, 107919.
- Hristova, S., Misoska, A. T., & Kovachevski, D. (2019). Towards change management in tourism: The evidence from North Macedonia. Czech Journal of Tourism, 8(1), 3-15.
- Jenkins, L. D., & Romanos, M. (2014). The art of tourism-driven development: Economic and artistic well-being of artists in three Balinese communities. Journal of Tourism and Cultural Change, 12(4), 293-306.
- Kantorovich, L. V. (1965). The best use of economic resources (382 p.). Cambridge: Harvard University Press.
- Kulkarni, S. S., Ernst, A., Ranade, A., & Krishnamoorthy, M. (2016). A linear programming based iterative heuristic for the recreational vehicle scheduling problem. In N. Chen, & M. Xie (Eds.), Industrial Engineering and Engineering Management International Conference (pp. 784-788). Bali: IEEE.
- Ladda, S. (2014). Using for social change: theory into practice. Journal of Physical Education, Recreation & Dance, 85(6), 7-11.
- Lekić, N., Savić, G., Knežević, S., & Mitrović, A. (2018). The efficiency analysis in small wineries in the Republic of Serbia. Economics of Agriculture, 65(4), 1529-1544.
- Lin, M. C., & Yang, M. W. (2016). Environmental and social impact assessment for the tourism industry: a case study of coastal recreation areas in Hualien Taiwan. Advances in Management and Applied Economics, 6(6), 29-47.
- Liu, J., Cheng, H., Jiang, D., & Huang, L. (2019). Impact of climate-related changes to the timing of autumn foliage colouration on tourism in Japan. Tourism Management, 70, 262-272.
- Lopes, P. F. M., Mendes, L., Fonseca, V., & Villasante, S. (2017). Tourism as a driver of conflicts and changes in fisheries value chains in Marine Protected Areas. Journal of Environmental Management, 200, 123-134.
- Lozano-Oyola, M., Blancas, F. J., Gonzalez, M., & Caballero, R. (2019). Sustainable tourism tags to reward destination management. Journal of Environmental Management, 250, 109458.
- Mangini, A. M., Roccotelli, M., & Rinaldi, A. A. (2021). Novel application based on a heuristic approach for planning itineraries of one-day tourist. Applied Sciences, 11(19), 8989.
- Martinez-Harms, M. J., Gelcich, S., Krug, R. M., Maseyk, F. J. F., Moersberger, H., Rastogi, A., Wambugu, G., Krug, C. B., Spehn, E. M., & Pascual, U. (2018). Framing natural assets for advancing sustainability research: translating different perspectives into actions. Sustainability Science, 13, 1519-1531.
- Melchor, O. H. (2008). Managing change in OECD governments: An introductory framework (OECD Working Papers on Public Governance No. 12). OECD.
- Menshikov, S. M. (2006). Topicality of Kantorovich’s economic model. Journal of Mathematical Sciences, 133, 1391-1397.
- Meschede, H. (2020). Analysis on the demand response potential in hotels with varying probabilistic influencing time-series for the Canary Islands. Renewable Energy, 160, 1480-1491.
- Nadizadeh, A. (2021). Formulation and a heuristic approach for the orienteering location-routing problem. RAIRO Operations Research, 55, 2055-2069.
- Nahuelhual, L., Carmona, A., Aguayo, M., & Echeverria, C. (2014). Land use change and ecosystem services provision: A case study of recreation and ecotourism opportunities in southern Chile. Landscape Ecology, 29, 329-344.
- Oliveira, C., Coelho, D., & Antunes, C. H. (2016). Coupling input-output analysis with multiobjective linear programming models for the study of economy-energy-environment-social (E3S) trade-offs: A review. Annals of Operations Research, 247(2), 471-502.
- Paris, Q. (2016). An economic interpretation of linear programming (454 p.). New York: Palgrave Macmillan.
- Patz, J., Campbell-Lendrum, D., Holloway, T., & Foley, J. A. (2005). Impact of regional climate change on human health. Nature, 438, 310-317.
- Pechlaner, H., & Tschurtschenthaler, P. (2003). Tourism policy, tourism organisations and change management in Alpine regions and destinations: A European perspective. Current Issues in Tourism, 6(6), 508-539.
- Petrushenko, M., Shevchenko, H., Burkynskyi, B., & Khumarova, N. (2019). A game-theoretical model for investment in inclusive recreation and wellness in Ukraine: the regional context. Investment Management and Financial Innovations, 16(4), 382-394.
- Rardin, R. L. (2017). Optimization in operations research (1144 p.). Hoboken: Pearson.
- Rodriguez-Miranda, A., Ferreira-Lopes, P., Martín-Etxebarria, G., & Korro Bañuelos, J. (2021). Linear programming for the analysis and virtual recreation of historical events: The allocation of the artillery during the Siege of Bilbao in 1874. Virtual Archaeology Review, 12(25), 99-113.
- Sanatoriums of Ukraine. (n.d.). Holovna Storinka [Main Page]. (In Ukrainian).
- Shahraki, A. A., Ebrahimzadeh, I., & Nisar, T. (rev.ed.). (2015). Programming for development of tourism industry using case studies. Cogent Business & Management, 2(1), 1121638.
- Shevchenko, H., Pakhomov, V., & Petrushenko, M. (2016). Economic and legal issues of rural and recreational land use in Ukraine. Economic Annals-XXI, 156(1-2), 54-58.
- Shevchenko, H., Petrushenko, M., Burkynskyi, B., Khumarova, N., & Opanasiuk, Y. (2020). Management of wellness and recreation in urban agglomerations. Problems and Perspectives in Management, 18(1), 231-241.
- Shulga, L. V. (2021). Change management communication: the role of meaningfulness, leadership brand authenticity, and gender. Cornell Hospitality Quarterly, 62(4), 498-515.
- Spalding, M., Burke, L., & Fyall, A. (2021). Covid-19: implications for nature and tourism. Anatolia, 32(1), 126-127.
- The Verkhovna Rada of Ukraine. (1992). Zakon Ukrainy “Pro pryrodno-zapovidnyi fond Ukrainy” [Law of Ukraine “On nature reserve fund of Ukraine”]. (In Ukrainian).
- The Verkhovna Rada of Ukraine. (1995). Zakon Ukrainy “Pro turyzm” [Law of Ukraine “On tourism”]. (In Ukrainian).
- The Verkhovna Rada of Ukraine. (2003). Nakaz N 142/394 Pro zatverdzhennia Metodyky rozrakhunku obsiahiv turystychnoi diialnosti [Order N 142/394 “On approval of Methods of calculating the volume of tourist activity”]. (In Ukrainian).
- Traskevich, A., & Fontanari, M. (2021). Tourism potentials in post-COVID19: The concept of destination resilience for advanced sustainable management in tourism. Tourism Planning & Development.
- Travel + Leisure. (n.d.). Main Page.
- Trišić, I. (2020). Prirodni resursi za razvoj turizma baziranog na prirodi Vojvodine. Hotel and Tourism Management, 8(2), 101-112.
- United Nations World Tourism Organization (UNWTO). (2021). Global tourism sees upturn in Q3 but recovery remains fragile.
- Vohra, R. V. (2011). Mechanism design: A linear programming approach (184 p.). Cambridge: Cambridge University Press.
- Yan, Z., Sotiriadis, M., & Shen, S. (2021). Integrating a local asset/resource into tourism and leisure offering: The case of tea resources in Longwu Town, Zhejiang Province, China. Sustainability, 13(4), 1920.
- Zhu, S. (2020). Multi-objective route planning problem for cycle-tourists. Transportation Letters, 14(3), 298-306.
- Ziaabadi, M., Malakootian, M., Mehrjerdi, M. R. Z., Jalaee, S. A., & Boshrabadi, H. M. (2017). How to use composite indicator and linear programming model for determine sustainable tourism. Journal of Environmental Health Science and Engineering, 15(1), 1-11.