Turismo de Portugal

21. 

Using a Grey-Markov model optimized by Cuckoo search algorithm to forecast the annual foreign tourist arrival to China / Xu Sun [et al.]

Resp- Sec.: Xu, Sun
Wangshu, Sun
Jianzhou, Wang
Yixin, Zhang
Yining, Gao

Analíticos  
22. 

Brand personality and culture: the role of cultural diferences on the impact of brand personality perceptions on tourists' visit intentions / Kurt Matzler [et al.]

Resp- Sec.: Matzler, Kurt
Strobl, Andreas
Stokburger-Sauer, Nicola E.
Bobovnicky, Artur
Bauer, Florian

Analíticos  
23. 

Desempenho e expectativas em 2016

Autor: Esteves, José Manuel

Analíticos  
24. 

The becoming of user-generated reviews: Looking at the past to understand the future of managing reputation in the travel sector / Vasiliki Baka

Autor: Baka, Vasiliki

Analíticos  
25. 

A dynamic linear model to forecast hotel registrations in Puerto Rico using Google Trends data / Roberto Rivera

Autor: Rivera, Roberto

Analíticos  
26. 

Development of a method to estimate and predict beach visitation / Damian Morgan

Autor: Morgan, Damian J.

Analíticos  
27. 

Forecasting city arrivals with Google Analytics / Ulrich Gunter and Irem Öder

Autor: Gunter, Ulrich Coautor: ; Önder, Irem

Analíticos  
28. 

Portugal Country Risk Report [Q1; Q2; Q3; Q4/ 2017 Q1/2018] : Includes 10-year forecasts to 2025 / BMI Research

Autor: Cooper, Tim Data Publicação: 2016 Coautor: Santos, Lucas dos, ed. lit. Col.autor: Business Monitor International, Ltd.

Monografias  
29. 

Research note: Nowcasting tourist arrivals in Barbados - just Google it! / Mahalia Jackman, Simon Naitram

Autor: Jackman, Mahalia Coautor: ; Naitram, Simon

Analíticos  
30. 

Tourism demand forecasting with neural network models: different ways of treating information / Oscar Claveria, Enric Monte, Salvador Torra

Autor: Claveria, Oscar Coautor: ; Monte, Enric
Torra, Salvador

Analíticos