1573 KB68 KB201420202019Dragan, DejanJereb, BorutKeshavarzsaleh, AbolfazlKramberger, TomažRosi, Majaštevilka:1letnik:10str. 11-30DOI:10.2478/jlst-2019-0002ISSN:2232-4968COBISSID_HOST:513008701URN:URN:NBN:SI:doc-0DY19PZNenDe Gruyter PolandFakulteta za logistikoLogistics and sustainable transportameriški turistiforecastingHolt-Winters modelHolt-Wintersov modellogisticslogistikanapovedovanjeoskrbovalne verigesupply chainstourismturizemUS touristsForecasting US tourists' inflow to Slovenia by modified holt-winters damped model| a case in the tourism industry logistics and supply chains|Forecasting is important in many branches of logistics, including the logistics related to Tourism supply chains. With an increasing inflow of American tourists, planning and forecasting the US tourists' inflow to Slovenia have gained far more importance attention amongst scholars and practitioners. This study, therefore, was conducted to forecast the American tourists' inflow to Slovenia using one of the predictive models based on the exponential smoothing approach, namely Holt-Winters damped additive (HWDA) exponential smoothing method. The model was modified by several improvements, while the obtained results were generalized to other supply chain components. The results show that the forecasting system can predict well the observed inflow, while the methodology used to derive the model might have enriched the plethora of existing practical forecasting approaches in the tourism domain. Benchmarking demonstrates that the proposed model outperforms a competitive ARIMA model and official forecasts. The practical implications are also discussed in this paperTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaUniverza v Mariboru, Fakulteta za logistiko