Symptoms of Complexity in a Tourism System
Tourism destinations behave as dynamic evolving complex systems, encompassing numerous factors and activities that 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 among 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 article presents a brief overview of the complexity framework as a means to understand structures, characteristics, and relationships, and explores the implications and contributions of the complexity literature on tourism systems. The objective is to allow the reader to gain a deeper appreciation of this point of view.
Keywords: CHAOS; COMPLEX SYSTEMS; NONLINEAR ANALYSIS; TOURISM DESTINATIONS
Document Type: Research Article
Publication date: January 1, 2008
- Established in 1996, Tourism Analysis is an interdisciplinary journal that provides a platform for exchanging ideas and research in tourism and related fields. The journal aims to publish articles that explore a broad range of research subjects, including, but not limited to, the social, economic, cultural, environmental, and psychological aspects of tourism, consumer behavior in tourism, sustainable and responsible tourism, and effective operations, marketing, and management.
Tourism Analysis focuses on both theoretical and applied research and strives to promote innovative approaches to understanding the complex and dynamic nature of tourism, its stakeholders, businesses, and its effects on society. The journal welcomes articles on innovative research topics and methodologies beyond the traditional theory-testing sciences, such as robotics, computational sciences, and data analytics.
Our primary goal is to contribute to the development and advancement of new knowledge in tourism while fostering critical reflections and debates on the radical changes and evolution in tourism among scholars, practitioners, policymakers, and other stakeholders.
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