A systematic literature review on the use of big data for sustainable tourism
Sustainable tourism research focuses on mitigating or remediating environmental, social
and economic impacts on tourism. In the past years, Big Data approaches have been …
and economic impacts on tourism. In the past years, Big Data approaches have been …
Management and leadership for digital transformation in tourism
J Pesonen - Handbook of e-Tourism, 2020 - Springer
Abstract Information and communication technologies are major drivers of change. Also in
tourism, businesses and entire destinations have to find new business models to stay …
tourism, businesses and entire destinations have to find new business models to stay …
Improving tourist arrival prediction: a big data and artificial neural network approach
Because of high fluctuations of tourism demand, accurate predictions of tourist arrivals are of
high importance for tourism organizations. The study at hand presents an approach to …
high importance for tourism organizations. The study at hand presents an approach to …
What do consumers want? A methodological framework to identify determinant product attributes from consumers' online questions
Determinant attributes play an important role in consumers' purchase decisions. Firms rely
on them to differentiate their products. Determinant attributes are typically identified using …
on them to differentiate their products. Determinant attributes are typically identified using …
Impact of the COVID-19 pandemic on travel behavior: A case study of domestic inbound travelers in Jeju, Korea
This study analyzes a large-scale navigation dataset that captures travel activities of
domestic inbound visitors in Jeju, Korea in the first nine months of 2020. A collection of …
domestic inbound visitors in Jeju, Korea in the first nine months of 2020. A collection of …
How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach
Search engine data have been widely used and shown to be useful in tourism demand
forecasting. However, considering of the vast amounts of search keywords, how to better …
forecasting. However, considering of the vast amounts of search keywords, how to better …
The influence of the COVID‐19 pandemic on the demand for different shades of green
KKL Yap, MCK Soh, A Sia, WJ Chin, S Araib… - People and …, 2022 - Wiley Online Library
COVID‐19 has heightened the dependence of urban dwellers on cultural ecosystem
services provided by urban green spaces (UGS), specifically in regard to the provision of …
services provided by urban green spaces (UGS), specifically in regard to the provision of …
The impact of Google Trends index and encompassing tests on forecast combinations in tourism
YC Hu, G Wu - Tourism Review, 2022 - emerald.com
Purpose Given that the use of Google Trends data is helpful to improve forecasting
performance, this study aims to investigate whether the precision of forecast combination …
performance, this study aims to investigate whether the precision of forecast combination …
Political activity in social media induces forest fires in the Brazilian Amazon
MAL Caetano - Technological Forecasting and Social Change, 2021 - Elsevier
Authors have presented several discussions and they suggest that Google Trends data did
not only reflect the current state of events, but may have also been able to anticipate certain …
not only reflect the current state of events, but may have also been able to anticipate certain …
Travel information search
Z **ang, DR Fesenmaier - Handbook of e-Tourism, 2022 - Springer
Abstract Information search has long been considered one of the most important aspects of
the travel decision-making process. This is because the tourism product (ie, the travel …
the travel decision-making process. This is because the tourism product (ie, the travel …