A key element of a successful tourism industry is the ability to recognize and deal with change across a wide range of key factors and the way they interact. Key drivers of global change can be classified as Economic, Social, Political, Technological and Environmental. This paper explores the way in which these key drivers could affect the global tourism industry to the year 2020. An exploratio...

In order to explore the relationship of promotion activities, destination attribute and destination image of Vietnam and find possible solutions, this study uses decision system analysis (DSA) method to develop flowcharts based on three rounds of expert interviews. The interviews were conducted with the experts who were confirmed to directly participate or influence on the decision making that ...

Due to the combined impact of the financial crisis of 2008, and some still unresolved structural problems in its economy, in the forthcoming period Croatia should expect a significant decline in the overall investment demand (public and private). The expected drop in the overall investment activity will also have significant negative implications on tourism, the leading export sector of Croatia...

This paper explored the use of ImportancePerformance Analysis in assessing the competitiveness of China’s Macao Special Administrative Region as a city for international conventions. Determinants of destination choice for convention tourists are grouped under three factors, namely the convention factor, the city factor and the tourism factor. Attributes of these three factors were studied throu...

There is a close natural connection in tourism and Convention & Exposition (C&E) since they are mutually affected and promoted. This study attempts to theoretically analyze the tourism effect and marketing tactics of the C&E industry. To do this, the inductive method and value train theory are introduced to analyze the supply and demand of tourism. Findings reveal that not only can C&E produce ...

Researchers have adopted online data such as search query volumes to forecast tourism demand for a destination, including tourist volumes and hotel occupancy. However, the massive yet highly correlated query data pose challenges when researchers attempt to include them in the forecasting model. We propose a framework and procedure for creating a composite search index adopted in a generalized d...

This theoretical paper combines the academic discourse regarding a specific part of dark tourism. Based on the literature analysis, distinction of natural disasters in thanatourism was investigated, which is connected with dynamic geographical conditions. Natural disasters used to play an important role in social life by their appearance in myths and religions. Nowadays, tourists pursuing natur...

As tourism researchers continue to search for solutions determine the best possible forecasting performance, it is important understand maximum predictivity achieved by models, as well how various data characteristics influence predictivity. Drawing on information theory, of demand quantitatively evaluated and beneficial improving performance forecasting. Empirical results from Hong Kong show t...

The tourism industry is known to have an extensive use of the Internet, both on the supply and on the demand side. The steady and fast emergence of the Internet has dramatically changed the business processes within the sector, forcing suppliers and intermediaries to adapt to a scenario in which visitors have multiple and more flexible choices regarding the search, planning, booking, and purcha...