Employing of Extended Characteristic Surface Model for Forecasting of Demand in Tourism
Keywords:
sentiment, forecasting, visualization, machine learning, tourismAbstract
Extended Characteristic Surface Model (eCSM) is a theoretical tool of general application designed for computing coefficients in stochastic (Monte Carlo) simulations in particular in multi equation stochastic econometric models. Econometric models are most often used for economic analysis of large enterprises as well as national economies but rarely for analysis of the small entities. The reason are very high costs of building and testing of such a large-scale models. However, presented hereby eCSM delivers not so expensive, rather intuitive and flexible method eligible for consumer sentiment analysis and forecasting as well as for "whatif" inferring suitable for entities of all sizes. In particular, it allows for analysis of demand variation resulting from messages concerning competing merchandises. The article is focused on application of eCSM for evaluation of sentiment and forecast of demand in tourism. In the work extended characteristic surface method is explained in thorough details, furthermore influence of factors such as demographic structure, prices or market size on financial outcomes is analyzed on the example of small touristic entity.
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References
Central Intelligence Agency. (2020), “The world factbook: Croatia”, available at: https://www.cia.gov/library/publications/the-world-factbook/geos/hr.html (20 June, 2020)
Čičak, J., Vašiček, D. (2019), “Determining the level of accounting conservatism through the fuzzy logic system“, Business Systems Research, Vol. 10, No. 1, pp. 88-101.
Croatia Week. (2020a), “Croatian PM announces package to help save jobs and economy”, available at: https://www.croatiaweek.com/croatian-pm-announces-package-to-help-save-jobs-and-economy/ (20 June 2020),
Croatia Week. (2020b), “Record 21 million tourists visit Croatia in 2019”, available at: https://www.croatiaweek.com/record-21-million-tourists-visit-croatia-in-2019/ (accessed June 20, 2020),
Croatia Week. (2020c), “Record 21 million tourists visit Croatia in 2019”, available at: https://www.croatiaweek.com/record-21-million-tourists-visit-croatia-in-2019/ (accessed June 20, 2020),
Croatia Week. (2020d), “Croatia sees 99% fewer tourists in April than last year”, available at: https://www.croatiaweek.com/croatia-sees-99-fewer-tourists-in-april-than-last-year/ (accessed June 20, 2020)
KNOEMA. (2020), “Croatia - contribution of travel and tourism to GDP in constant prices of 2011”, available at: https://knoema.com/atlas/Croatia/topics/Tourism/Travel-and-Tourism-Total-Contribution-to-GDP/Real-contribution-of-travel-and-tourism-to-GDP (11 July, 2020)
Kohavi, R., Thomke, S. H. (2017), “The surprising power of online experiments: getting the most out of A/B and other controlled tests”, Harvard Business Review, Vol. 95, No. 5, pp. 74-82.
Markus, Z., Perovic, D., Pekovic, S., Popovic, S. (2019), “Assessing tourist revisit intention through the sports and recreational services offered”, Business Systems Research, Vol. 10, No. 2, pp, 141-150.
Matsumoto M., Nishimura T. (1998), ACM Transactions on Modelling and Computer Simulations. Special Issue on Random Number Generators,
Matsumoto M., (2020) Mersenne Twister, computer program, Open Source - available at: http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html, (June 17. 2020),
Ministry of Tourism of Republic of Croatia. (2019), “Tourism in figures 2018”, available at: https://www.htz.hr/sites/default/files/2019-09/HTZ%20TUB%20ENG_2018.pdf (20 June, 2020)
Moodys Analytics. (2020), “Croatia - economic indicators”, available at: https://www.economy.com/croatia/indicators#FACTBOOK (20 June, 2020)
Neufeld, D. (2020), “Visualizing the countries most reliant on tourism”, available at: https://www.visualcapitalist.com/countries-reliant-tourism/ (11 July, 2020)
Obućina, V. (2019), “Croatian tourism model – is it sustainable?”, available at: https://www.obserwatorfinansowy.pl/in-english/croatian-tourism-model-is-it-sustainable/ (11 July, 2020)
Opiła J., Skalna, I. (2006), “Pseudorandom number generators in stochastic econometric models” in Duda, J. T., Waszkielewicz, W. (Eds.), Modern methods and techniques in management”, AGH Uczelniane Wydawnictwa Naukowo-Dydaktyczne, Cracow, pp. 200-210.
Opiła, J. (2005), “Analiza ewolucji nastrojów konsumenckich z wykorzystaniem metody powierzchni charakterystycznej” (An analysis of the evolution of consumer sentiment using the characteristic surface method), in Duda, J. T. (Ed.), Systemy informatyczne i metody obliczeniowe w zarządzaniu (Information systems and computational methods in management), AGH Uczelniane Wydawnictwa Naukowo-Dydaktyczne, Kraków, pp. 141-148.
Opiła, J. (2018), “Visualization in a knowledge transfer process”, in 2018 ENTRENOVA-ENTerprise REsearch InNOVAtion Conference, 6-8 September, Split, pp. 485-493.
Opiła, J. (2019), “Role of visualization in a knowledge transfer process”, Business Systems Research, Vol. 10, No. 1, pp. 164-179.
Opiła, J., Opiła, C., Cichowska, J. (2008), “Prognozowanie ostrzegawcze w mikroprzedsiębiorczości z zastosowaniem rozszerzonej metody powierzchni charakterystycznej na przykładzie gospodarstwa agroturystycznego” (Emergency forecasting in microenterprise with the use of the extended surface method on the example of an agritourism farm) in 9th International scientific conference Zarządzanie przedsiębiorstwem – teoria i praktyka (Business management - theory and practice), WZ AGH, Kraków, pp. 1-10.
Orsini, K., Ostojić, V., (2018), “Croatia’s tourism industry: beyond the Sun and Sea”, available at: https://ec.europa.eu/info/publications/economy-finance/croatias-tourism-industry-beyond-sun-and-sea_en (11 July, 2020)
Ramotowski, J. (2015), “Frank zaraża bilanse banków nie tylko w środkowej Europie” (Frank infects bank balance sheets not only in Central Europe), available at: https://www.obserwatorfinansowy.pl/tematyka/rynki-finansowe/bankowosc/frank-zaraza-bilanse-bankow-nie-tylko-w-srodkowej-europie/ (28 June, 2010)
Skalna, I., Rębiasz, B., Gaweł, B., Basiura, B., Duda, J., Opiła, J., Pełech-Pilichowski, T. (2015), Advances in Fuzzy Decision Making: Theory and Practice, Springer International Publishing, Cham.
Tepuš, M. M. (2005), “Housing finance models and standards in the Republic of Croatia”, available at: http://housing-finance-networks.com/documents/doc.aspx?id=1631 (28 June, 2020)
The World Bank. (2020), “The World Bank in Croatia”, available at: https://www.worldbank.org/en/country/croatia/overview#3 (20 June, 2020)
