Tourism destinations behave as dynamic evolving complex systems, encompassing numerous factors and activities which are interdependent and whose relationships might be highly nonlinear. Traditional research in this field has looked after a linear approach: variables and relationships are monitored in order to forecast future outcomes with simplified models and to derive implications for management organizations. The limitations of this approach have become apparent in many cases, and several authors claim for a new and different attitude. While complex systems ideas are amongst the most promising interdisciplinary research themes emerged in the last few decades, very little has been done so far in the field of tourism. This paper presents a...
Methods to capture the complexity of using policy instruments would allow us to better evaluate the ...
There is a growing interest in complexity science as a framework for understanding social and econom...
Purpose: This paper brings together the literature on theories of complexity adaptive systems (CAS),...
Tourism destinations behave as dynamic evolving complex systems, encompassing numerous factors and a...
Purpose – Tourism systems have been considered more and more in the light of complexity and chaos t...
Purpose – The growing interest in complexity science as a framework for understanding social and eco...
This paper is rooted in network science and contributes to filling two gaps, developing multiple cas...
The paper presents an application of the chaos theory to tourism, a sector in which operators' choic...
This paper discusses chaos theory and provides a brief description of chaos and complexity theory. I...
This paper investigates applications of complexity theory in the social sphere and considers its pot...
Tourism and hospitality research has utilized mostly traditional approaches to understand and explai...
Time series analysis is a well-known practice in tourism, usually employed for forecasting purposes....
Purpose: This paper aims to examine the complexity science approach to the tourism domain. Design/me...
The paper presents an application of the chaos theory to tourism, a sector in which operators' choic...
The desire to know and foresee the future is naturally bound to human nature. Traditional forecastin...
Methods to capture the complexity of using policy instruments would allow us to better evaluate the ...
There is a growing interest in complexity science as a framework for understanding social and econom...
Purpose: This paper brings together the literature on theories of complexity adaptive systems (CAS),...
Tourism destinations behave as dynamic evolving complex systems, encompassing numerous factors and a...
Purpose – Tourism systems have been considered more and more in the light of complexity and chaos t...
Purpose – The growing interest in complexity science as a framework for understanding social and eco...
This paper is rooted in network science and contributes to filling two gaps, developing multiple cas...
The paper presents an application of the chaos theory to tourism, a sector in which operators' choic...
This paper discusses chaos theory and provides a brief description of chaos and complexity theory. I...
This paper investigates applications of complexity theory in the social sphere and considers its pot...
Tourism and hospitality research has utilized mostly traditional approaches to understand and explai...
Time series analysis is a well-known practice in tourism, usually employed for forecasting purposes....
Purpose: This paper aims to examine the complexity science approach to the tourism domain. Design/me...
The paper presents an application of the chaos theory to tourism, a sector in which operators' choic...
The desire to know and foresee the future is naturally bound to human nature. Traditional forecastin...
Methods to capture the complexity of using policy instruments would allow us to better evaluate the ...
There is a growing interest in complexity science as a framework for understanding social and econom...
Purpose: This paper brings together the literature on theories of complexity adaptive systems (CAS),...