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Forecasting US Tourists’ inflow to Slovenia by modified Holt-Winters Damped model: A case in the Tourism industry logistics and supply chains

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[1] www.slovenia.info. (2016). I Feel SloveniaSearch in Google Scholar

[2] N. Kovačić, D. Topolšek, and D. Dragan, “Tourism sector, Travel agencies, and Transport Suppliers: Comparison of Different Estimators in the Structural Equation Modeling,” Logistics & Sustainable Transport, vol. 6, no. 1, pp. 11-24, 2015.10.1515/jlst-2015-0007Search in Google Scholar

[3] R. Hyndman, A. B. Koehler, J. K. Ord, and R. D. Snyder, Forecasting with exponential smoothing: the state space approach. New York: Springer Science & Business Media, 2008.10.1007/978-3-540-71918-2Search in Google Scholar

[4] A. Gosar, “Some Characteristics of Tourism in Slovenia,” Slovene Studies Journal, vol. 12, no. 1, pp. 33-42, 1990.10.7152/ssj.v12i1.3791Search in Google Scholar

[5] M. Konecnik and F. Go, “Tourism destination brand identity: The case of Slovenia,” Journal of Brand Management, vol. 15, no. 3, pp. 177-189, 2008.10.1057/palgrave.bm.2550114Search in Google Scholar

[6] A. Assaf and K. L. Cvelbar, “Privatization, market competition, international attractiveness, management tenure and hotel performance: Evidence from Slovenia,” International Journal of Hospitality Management, vol. 30, no. 2, pp. 391-397, 2011.10.1016/j.ijhm.2010.03.012Search in Google Scholar

[7] T. Mihalič, V. Žabkar, and L. K. Cvelbar, “A hotel sustainability business model: evidence from Slovenia,” Journal of Sustainable Tourism, vol. 20, no. 5, pp. 701-719, 2012.10.1080/09669582.2011.632092Search in Google Scholar

[8] V. Žabkar, M. M. Brenčič, and T. Dmitrović, “Modelling perceived quality, visitor satisfaction and behavioural intentions at the destination level,” Tourism management, vol. 31, no. 4, pp. 537-546, 2010.10.1016/j.tourman.2009.06.005Search in Google Scholar

[9] SSD, “Slovene: Statistični Urad Republike Slovenije,,” Statistični Urad Republike Slovenije, https://www.stat.si/statweb2016.Search in Google Scholar

[10] J. W. Taylor, “Exponential smoothing with a damped multiplicative trend,” International journal of Forecasting, vol. 19, no. 4, pp. 715-725, 2003.10.1016/S0169-2070(03)00003-7Search in Google Scholar

[11] R. C. Souza, M. Barros, and C. V. C. d. Miranda, “Short Term Load Forecasting Using Double Seasonal Exponential Smoothing and Interventions to Account for Holidays and Temperature Effects,” presented at the TLAIO II-2 do Taller Latino Iberoamericano de Investigación de Operaciones, Acapulco, México., 2007.Search in Google Scholar

[12] J. Taylor, “Short-Term Electricity Demand Forecasting Using Double Seasonal Exponential Smoothing,” Journal of Operational Research Society, vol. 54, pp. 799-805, 2003.10.1057/palgrave.jors.2601589Search in Google Scholar

[13] J. Taylor, L. Menezes, and P. McSharry, “A Comparison of Univariate Methods for Forecasting Eletricity Demand up to a Day Ahead,” International Journal of Forecasting, vol. 22, no. 1, pp. 1-16, 2006.10.1016/j.ijforecast.2005.06.006Search in Google Scholar

[14] M. Intihar, T. Kramberger, and D. Dragan, “The relationship between the economic indicators and the accuracy of container throughput forecasting,” in IAME 2015 Conference Kuala Lumpur, Malaysia, Kuala Lumpur, 2015.Search in Google Scholar

[15] M. Intihar, T. Kramberger, and D. Dragan, “Container Throughput Forecasting Using Dynamic Factor Analysis and ARIMAX Model,” Promet-Traffic Transportation, vol. 29, no. 5, pp. 529-542, 2017.10.7307/ptt.v29i5.2334Search in Google Scholar

[16] D. Dragan, T. Kramberger, A. Lisec, and M. Intihar, “The Impact of Macroeconomic Indicators on Forecasting a Total Cargo Throughput in the Adriatic Seaport,” in Symposium on Logistics (ISL 2017) Data Driven Supply Chains, 2017.Search in Google Scholar

[17] D. N. Aratuo and X. L. Etienne, “Industry level analysis of tourism-economic growth in the United States,” Tourism Management, vol. 70, pp. 333-340, 2019.10.1016/j.tourman.2018.09.004Search in Google Scholar

[18] WEF, The travel and tourism competitiveness report 2015. World Economic Forum, 2015.Search in Google Scholar

[19] J. Balaguer and Cantavella-Jorda, “Tourism as a long-run economic growth factor: the Spanish case,” Applied economics, vol. 34, no. 7, pp. 877-884, 2002.10.1080/00036840110058923Search in Google Scholar

[20] A. Lanza, P. Temple, and G. Urga, “The implications of tourism specialisation in the long run: an econometric analysis for 13 OECD economies,” Tourism Management, vol. 24, no. 3, pp. 315-321, 2003.10.1016/S0261-5177(02)00065-1Search in Google Scholar

[21] J. G. Brida, B. Lanzilotta, S. Lionetti, and W. A. Risso, “Research note: The tourism-led growth hypothesis for Uruguay,” Journal of Policy Research in Tourism, Leisure, vol. 16, no. 3, pp. 765-771, 2010.10.5367/000000010792278356Search in Google Scholar

[22] N. Dritsakis, “Tourism development and economic growth in seven Mediterranean countries: A panel data approach,” Tourism Economics, vol. 18, no. 4, pp. 801-816, 2012.10.5367/te.2012.0140Search in Google Scholar

[23] M. d. P. Pablo-Romero and J. A. Molina, “Tourism and economic growth: A review of empirical literature,” Tourism Management Perspectives, vol. 8, pp. 28-41, 2013.10.1016/j.tmp.2013.05.006Search in Google Scholar

[24] L. Gunduz and A. Hatemi-J, “Is the tourism-led growth hypothesis valid for Turkey?,” Applied Economics Letters, vol. 12, no. 8, pp. 499-504, 2005.10.1080/13504850500109865Search in Google Scholar

[25] M. Belloumi, “The relationship between tourism receipts, real effective exchange rate and economic growth in Tunisia,” International journal of tourism research, vol. 12, no. 5, pp. 550-560, 2010.10.1002/jtr.774Search in Google Scholar

[26] S. Proença and E. Soukiazis, “Tourism as an economic growth factor: a case study for Southern European countries,” Tourism Economics, vol. 14, no. 4, pp. 791-806, 2008.10.5367/000000008786440175Search in Google Scholar

[27] S. Katircioğlu, “Research note: Testing the tourism-led growth hypothesis for Singapore–an empirical investigation from bounds test to cointegration and Granger causality tests,” Tourism Economics, vol. 16, no. 4, pp. 1095-1101, 2010.10.5367/te.2010.0012Search in Google Scholar

[28] J. G. Brida, W. A. Risso, and Events, “Tourism as a determinant of long-run economic growth,” Journal of Policy Research in Tourism, Leisure, vol. 2, no. 1, pp. 14-28, 2010.10.1080/19407960903542276Search in Google Scholar

[29] D. Dragan, A. Keshavarzsaleh, B. Jereb, and D. Topolšek, “Integration with transport suppliers and efficiency of travel agencies,” International Journal of Value Chain Management, vol. 9, no. 2, pp. 122-148, 2018.10.1504/IJVCM.2018.092388Search in Google Scholar

[30] M.-H. Chen, “Interactions between business conditions and financial performance of tourism firms: Evidence from China and Taiwan,” Tourism Management, vol. 28, no. 1, pp. 188-203, 2007.10.1016/j.tourman.2005.11.012Search in Google Scholar

[31] R. C. Mill and A. M. Morrison, The tourism system. Dubuque: Kendall Hunt, 2002.Search in Google Scholar

[32] C.-H. H. Tang and S. S. Jang, “The tourism–economy causality in the United States: A sub-industry level examination,” Tourism Management, vol. 30, no. 4, pp. 553-558, 2009.10.1016/j.tourman.2008.09.009Search in Google Scholar

[33] A. K. Adebayo and A. C. Iweka, “Optimizing the sustainability of tourism infrastructure in Nigeria through design for deconstruction framework,” American Journal of Tourism Management, vol. 3, no. 1A, pp. 13-19, 2014.Search in Google Scholar

[34] B. Zheng and Y. Zhang, “Household expenditures for leisure tourism in the USA, 1996 and 2006,” International Journal of Tourism Research, vol. 15, no. 2, pp. 197-208, 2013.10.1002/jtr.880Search in Google Scholar

[35] J. Khadaroo and B. Seetanah, “Transport infrastructure and tourism development,” Annals of tourism research, vol. 34, no. 4, pp. 1021-1032, 2007.10.1016/j.annals.2007.05.010Search in Google Scholar

[36] K. M. Cheng, “Tourism demand in Hong Kong: Income, prices, and visa restrictions,” Current Issues in Tourism, vol. 15, no. 3, pp. 167-181, 2012.10.1080/13683500.2011.569011Search in Google Scholar

[37] J. N. Goodrich, “September 11, 2001 Attack on America: Impact on Tourism Security,” Journal of Travel Tourism Marketing, vol. 11, no. 4, pp. 1-12, 2002.10.1300/J073v11n04_01Search in Google Scholar

[38] I. Chatziantoniou, S. Degiannakis, B. Eeckels, and G. Filis, “Forecasting tourist arrivals using origin country macroeconomics,” Applied Economics, vol. 48, no. 27, pp. 2571-2585, 2016.10.1080/00036846.2015.1125434Search in Google Scholar

[39] C. L. Morley, “A microeconomic theory of international tourism demand,” Annals of Tourism Research, vol. 19, no. 2, pp. 250-267, 1992.10.1016/0160-7383(92)90080-9Search in Google Scholar

[40] F. Chan and C. Lim, “Spectral analysis of seasonality in tourism demand,” Mathematics Computers in Simulation, vol. 81, no. 7, pp. 1409-1418, 2011.10.1016/j.matcom.2010.06.005Search in Google Scholar

[41] D. Gounopoulos, D. Petmezas, and D. Santamaria, “Forecasting tourist arrivals in Greece and the impact of macroeconomic shocks from the countries of tourists’ origin,” Annals of Tourism Research, vol. 39, no. 2, pp. 641-666, 2012.10.1016/j.annals.2011.09.001Search in Google Scholar

[42] V. J. T. m. Cho, “A comparison of three different approaches to tourist arrival forecasting,” vol. 24, no. 3, pp. 323-330, 2003.10.1016/S0261-5177(02)00068-7Search in Google Scholar

[43] F.-L. Chu, “A fractionally integrated autoregressive moving average approach to forecasting tourism demand,” Tourism Management, vol. 29, no. 1, pp. 79-88, 2008.10.1016/j.tourman.2007.04.003Search in Google Scholar

[44] F.-L. Chu, “A piecewise linear approach to modeling and forecasting demand for Macau tourism,” Tourism Management, vol. 32, no. 6, pp. 1414-1420, 2011.10.1016/j.tourman.2011.01.018Search in Google Scholar

[45] H. Song, G. Li, S. F. Witt, and G. Athanasopoulos, “Forecasting tourist arrivals using time-varying parameter structural time series models,” International Journal of Forecasting, vol. 27, no. 3, pp. 855-869, 2011.10.1016/j.ijforecast.2010.06.001Search in Google Scholar

[46] H. Hassani, A. Webster, E. S. Silva, and S. Heravi, “Forecasting US tourist arrivals using optimal singular spectrum analysis,” Tourism Management, vol. 46, pp. 322-335, 2015.10.1016/j.tourman.2014.07.004Search in Google Scholar

[47] B. Peng, H. Song, and G. Crouch, “A meta-analysis of international tourism demand forecasting and implications for practice,” Tourism Management, vol. 45, pp. 181-193, 2014.10.1016/j.tourman.2014.04.005Search in Google Scholar

[48] S. F. Witt, H. Song, and G. Li, The advanced econometrics of tourism demand. Abingdon: Routledge, 2008.Search in Google Scholar

[49] M. Akal, “Forecasting Turkey’s tourism revenues by ARMAX model,” Tourism Management, vol. 25, no. 5, pp. 565-580, 2004.10.1016/j.tourman.2003.08.001Search in Google Scholar

[50] C. Lim, M. McAleer, and J. C. Min, “ARMAX modelling of international tourism demand,” Mathematics Computers in Simulation, vol. 79, no. 9, pp. 2879-2888, 2009.10.1016/j.matcom.2008.08.010Search in Google Scholar

[51] H. Grubb and A. Mason, “Long lead-time forecasting of UK air passengers by Holt–Winters methods with damped trend,” International Journal of Forecasting, vol. 17, no. 1, pp. 71-82, 2001.10.1016/S0169-2070(00)00053-4Search in Google Scholar

[52] G. Athanasopoulos and A. de Silva, “Multivariate exponential smoothing for forecasting tourist arrivals,” Journal of Travel Research, vol. 51, no. 5, pp. 640-652, 2012.10.1177/0047287511434115Search in Google Scholar

[53] P. Dimitrov, M. Kalinova, G. Gantchev, and C. Nikolov, “Exponential forecasting of the monthly volume of the tourism receipts in Bulgaria,” Tourism Management Studies, vol. 11, no. 1, pp. 104-110, 2015.Search in Google Scholar

[54] D. O. Gomezelj and T. Mihalič, “Destination competitiveness—Applying different models, the case of Slovenia,” Tourism management, vol. 29, no. 2, pp. 294-307, 2008.10.1016/j.tourman.2007.03.009Search in Google Scholar

[55] T.-. SURS, Annual Report on Tourism 2015 - Slovenia (National annual reports on tourism). Ljubljana: Statistical Office of the Republic of Slovenia, 2015.Search in Google Scholar

[56] T. W. T. T. C. (WTTC), Travel & Tourism: Economic Impact 2015-Slovenia London: The World Travel & Tourism Council (WTTC), 2015.Search in Google Scholar

[57] R. J. Hyndman, A. B. Koehler, R. D. Snyder, and S. Grose, “A state space framework for automatic forecasting using exponential smoothing methods,” International Journal of forecasting, vol. 18, no. 3, pp. 439-454, 2002.10.1016/S0169-2070(01)00110-8Search in Google Scholar

[58] R. J. Hyndman and A. B. Koehler, “Another look at measures of forecast accuracy,” International journal of forecasting, vol. 22, no. 4, pp. 679-688, 2006.10.1016/j.ijforecast.2006.03.001Search in Google Scholar

[59] L. F. Tratar, B. Mojškerc, and A. Toman, “Demand forecasting with four-parameter exponential smoothing,” International Journal of Production Economics, vol. 181, pp. 162-173, 2016.10.1016/j.ijpe.2016.08.004Search in Google Scholar

[60] E. S. Gardner Jr and E. McKenzie, “Forecasting trends in time series,” Management Science, vol. 31, no. 10, pp. 1237-1246, 1985.10.1287/mnsc.31.10.1237Search in Google Scholar

[61] E. S. Gardner Jr and E. McKenzie, “Note—Seasonal exponential smoothing with damped trends,” Management Science, vol. 35, no. 3, pp. 372-376, 1989.10.1287/mnsc.35.3.372Search in Google Scholar

[62] H. B. Mitchell, Data fusion: concepts and ideas. New York: Springer Science & Business Media, 2012.10.1007/978-3-642-27222-6Search in Google Scholar

[63] J. Sueur, Sound Analysis and Synthesis with R. Basel: Springer 2018.10.1007/978-3-319-77647-7Search in Google Scholar

[64] John E. Hanke and D. Wichern, Business Forecasting: Pearson New International Edition (9e). Melbourne: Pearson Australia Group Pty Ltd, 2013.Search in Google Scholar

[65] Bruce L. Bowerman, Richard O’Connell, and A. Koehler, Forecasting, Time Series, and Regression London: Cengage Learning, 2005.Search in Google Scholar

[66] D. Dragan, T. Kramberger, and M. Intihar, “A comparison of Methods for Forecasting the Container Throughput in North Adriatic Ports,” in Conference IAME, Norfolk, 2014.Search in Google Scholar

[67] J. A. D. Jennifer L. Castle and F. H. David, Some forecasting principles from the M4 competition. Magdelen College and Nuffield College, 2019.Search in Google Scholar

[68] S. Makridakis, E. Spiliotis, and V. Assimakopoulos, “The M4 Competition: Results, findings, conclusion and way forward,” International Journal of Forecasting ·, vol. 34, no. 4, pp. 802-808, 2018.10.1016/j.ijforecast.2018.06.001Search in Google Scholar

[69] G. E. Box, G. M. Jenkins, G. C. Reinsel, and G. M. Ljung, Time series analysis: forecasting and control. New York: John Wiley & Sons, 2015.Search in Google Scholar

[70] L. Ljung, System identification: theory for the user. Upper Saddle River, New Jersey: Prentice-Hall, 1987, pp. 519-519.Search in Google Scholar

[71] L. Ljung, System Identification Toolbox for use with MATLAB. Nattick: Mathworks, 2011.Search in Google Scholar

[72] S. Gričar and Š. Bojnec, Aplikacija metodologije časovnih serij na primeru turističnih cen. Koper: Založba Univerze na Primorskem, 2016.Search in Google Scholar

[73] R. Powell, “Risk scenarios,” in “Asia Regional Strategic Forecast: Preparing For The Paradigm Shift. Globalisation and the Asian business environment: The Economist Corporate Network Risk scenarios,” The Economist Corporate Network., SouthEast Asia2017.Search in Google Scholar

[74] N. Rahman, M. Muridan, and A. Najib, “A Maritime Forecasting Method for Analysing the Total Cargo Handling at Johor Port Berhad from 2013 to 2020,” International Journal of Business Management Economic Research, vol. 6, no. 3, pp. 187-93, 2015.Search in Google Scholar

[75] L. Hsieh, “Roots of the next financial crisis.,” ed. Reuters: Reuters, 2017.Search in Google Scholar

[76] W. Buiter, E. Rahbari, M. Saunders, S. Luna, J. Hale, and G. Menuet, Is China leading the world into recession (Global Economic Views, Citi Research). New York,: Citigroup Global Markets Inc., 2015.Search in Google Scholar

[77] G. Xie, S. Wang, Y. Zhao, and K. K. Lai, “Hybrid approaches based on LSSVR model for container throughput forecasting: a comparative study,” Applied Soft Computing, vol. 13, no. 5, pp. 2232-2241, 2013.10.1016/j.asoc.2013.02.002Search in Google Scholar