Forecasting US tourists' inflow to Slovenia by modified holt-winters damped model

ǂa ǂcase in the tourism industry logistics and supply chains

Dejan Dragan (Avtor), Abolfazl Keshavarzsaleh (Avtor), Tomaž Kramberger (Avtor), Borut Jereb (Avtor), Maja Rosi (Avtor)

Povzetek

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 paper.

Ključne besede

turizem;napovedovanje;Holt-Wintersov model;ameriški turisti;oskrbovalne verige;logistika;tourism;forecasting;Holt-Winters model;US tourists;supply chains;logistics;

Podatki

Jezik:	Angleški jezik
Leto izida:	2019
Tipologija:	1.01 - Izvirni znanstveni članek
Organizacija:	UM FL - Fakulteta za logistiko
UDK:	519.2
COBISS:	513008701
ISSN:	2232-4968
Št. ogledov:	8
Št. prenosov:	0
Ocena:	0 (0 glasov)
Metapodatki:

Ostali podatki

Sekundarni jezik:	Slovenski jezik
Sekundarne ključne besede:	turizem;napovedovanje;Holt-Wintersov model;ameriški turisti;oskrbovalne verige;logistika;
Vrsta dela (COBISS):	Članek v reviji
Strani:	str. 11-30
Letnik:	ǂVol. ǂ10
Zvezek:	ǂno. ǂ1
Čas izdaje:	2019
DOI:	10.2478/jlst-2019-0002
ID:	24791850