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This chapter discusses the emerging network science approach to the study of complex adaptive systems and applies tools derived from statistical physics to the analysis of tourism destinations. The authors provide a brief history of network science and the characteristics of a network as well as different models such as small world and scale free networks, and dynamic properties such as resilience and information diffusion. The Italian resort island of Elba is used as a case study allowing comparison of the communication network of tourist organizations and the virtual network formed by the websites of these organizations. The study compares the parameters of these networks to networks from the literature and to randomly created networks. The analyses include computer simulations to assess the dynamic properties of these networks. The results indicate that the Elba tourism network has a low degree of collaboration between members. These findings provide a quantitative measure of network performance. In general, the application of network science to the study of social systems offers opportunities for better management of tourism destinations and complex social systems.

The scope of this chapter is to present in a simple and synoptic way the main components of tourism as a consumer-driven business field. The main purpose of this chapter is to discuss the tourism system and tourism value chain as the analytical frameworks for tourism businesses.

A literature review was conducted on conceptual issues and managerial aspects of tourism system and value chain.

This chapter highlights the fact that tourism is not a science or a scientific discipline; it is just a body of knowledge. It presents, in a synoptic and clear way, the building blocks of the tourism, that is, the approaches of tourism system and tourism value chain, as well as the concept of tourism experience.

This chapter is explorative in nature, because the discussion is mostly based on a literature review.

Tourism is a multifaceted activity, which touches upon many different economic activities that are connected as a system. Thus, tourism must be understood as a system that includes interrelated elements working together. The model of a value chain can be applied in tourism, both at business and destination levels. Tourists are the focal point of the global value chain in international tourism.

This chapter analyses analytical frameworks, models and concepts in an integrated way. This analysis is very useful in creating a better understanding of the tourism industries and the business ventures in this field.

Spatial integration and industrial clustering have become an important feature of the culture tourism business. When the core elements in both the culture industry and tourism industry are integrated, a model based on system science is constructed that combines the resources and capacity of the two entities to envisage the ways of creating integrated products and services from the two sectors. Guided by the system science, this study proposes a culture tourism system revealing the clustering and hierarchical structure of the industrial elements. The system contains two subsystems: internal system and external system. The agglomeration model of the system includes 26 indices and the PEF methods, which involved the Parallelogram Law, Entropy-weight Method, and Fuzzy Membership Function. Finally, this study deploys an empirical study involving all provincial territories (N=31) in mainland China. It analyzes the variability and degree of balanced development of the system. In addition, through the resultant data this research adds a typology of culture tourism system along with policy recommendations.

The purpose of this paper is to contribute to the understanding of systems thinking and its value for strategic foresight and scenario planning to address disruptive forces from the outside, with the outbreak of COVID19 as a case study.

This conceptual paper concisely discusses the notion of systems thinking and the concept of complex adaptive systems and puts this in the context of contemporary society in general and travel and tourism in particular. Strategic foresight and scenario planning are introduced as an approach to anticipate disruptions in the complex adaptive travel and tourism system.

As COVID-19 has demonstrated, travel and tourism is sensitive for disruptions from the outside. To ensure long-term resilience and sustainability, a systems approach embedded in strategic foresight and scenario planning is emphasised.

Strategic foresight and scenario planning is a competence that can be learned.

Given the present status of COVID-19 and other disruptors on travel and tourism, a resilient approach to the future is necessary; thus, the value of this viewpoint paper is the proposition of an adaptive capacity system. This paper offers advice to understand and manage complexity and adaptive systems.

This paper brings together the literature on theories of complexity adaptive systems (CAS), develops an analytical framework, applies this framework to the development of tourism destinations and critically reflects on the use of this perspective.

This paper elaborates on a CAS perspective on destination development, to further develop complexity thinking in tourism studies. This approach enables to identify policy avenues geared towards improving destination governance and contributing to sustainable tourism development.

Theories of CAS offer an analytical lens to better understand destination development, drawing explicit attention to (1) the levels of the individual, (emergent) structures, the structure-agency interface and the system level, (2) the steps related to the process of adaptation that is critical for systems to survive and thrive in times of change and (3) the undervalued importance of considering the factor of time.

Applying CAS theories help to address a range of (policy) avenues to improve destination governance, contributing to a shift in focus from reactively fixing problems to proactively addressing the structural issue of adaptive capacity building. It shows that managing tourism destination as complex systems involves a set of conditions that are critical as well as difficult to meet in tourism practice.

As tourism development is an unquestionable part of every national growth policy, this study aims to introduce an integrated method employing MICMAC analysis for understanding the key strategic variables of Iran's tourism development system.

The structural analysis with MICMAC method was used to determine the classification of variables, aimed at structuring ideas to deal with complex decision-making and help planners and policymakers formulate future-based strategies.

The cross-impact matrix was used to identify the development variables having the greatest impact on the development of Southeast Asian tourism to Iran. The results showed that among 43 variables, 10 have great potential as key variables in the future of Iran's tourism development.

MICMAC, as a structural analysis technique, is regarded as being the most appropriate to identify the key variables in the development of the Iranian tourism system. The limitation was that the other tourism markets, apart from ASEAN tourists, and the tourism demand-side were excluded from this study.

The present study indicates that identifying key factors that influence the supply side of Iran's tourism system is worthwhile. Consequently, the findings show how these key factors can play a vital role in long-range economic sustainability and lead to the development of Iran's tourism market to enhance globally its competitiveness as a destination to attract international ASEAN tourists.

This study is one of the first papers to focus on the development of Iran's tourism market from a supply-side through structural analysis. Its findings are valuable as they can be used by the tourism authorities in the process of developing future tourism scenarios for Iran.

The “tourism living systems” (Tourism Living System – TLS) concept is underdeveloped, with limited relevant theoretical analysis to understand how it can support the transformations of tourism systems towards healthy communities and places. This paper aims to conceptualise TLSs and key stakeholder roles for enacting regenerative tourism using a living systems perspective.

Knowledge synthesis and co-production were used to identify the conceptual framework and its applications. Knowledge synthesis was undertaken through a scoping review of the regenerative tourism literature and supplemented by a consultation exercise with leading regenerative tourism practitioners. Co-production of knowledge involved case study research to assess the conceptual framework's practical applications and revise it with regenerative tourism practitioners.

The study revealed that regenerative tourism is informed by living systems' thinking. The authors identify five diverse, interdependent and interconnected stakeholder roles from the case studies and scoping review. All stakeholder roles are vital for constituting tourism systems that contribute to the healthy evolution of social-ecological systems.

Real-world case study applications of the TLS framework will guide tourism stakeholders who seek to adopt regenerative tourism approaches.

The study contributes to developing new frontiers in tourism stakeholder roles and paradigms with implications for regenerative tourism futures. The TLS framework challenges industrial conceptions of tourism by proposing a shift in stakeholder roles from extraction to generating new life to survive, thrive and evolve.

Tourism systems have been considered more and more in the light of complexity and chaos theories. Most of the work done in this area has highlighted the reasons for and the issues regarding this approach. A steadily growing strand of the recent literature uses the theories to overcome the problems of a reductionist and mechanistic view that is considered unable to provide a full understanding of the structural and dynamic characteristics of tourism systems, and specifically of tourism destinations. This paper seeks to continue this approach and to provide a series of quantitative methods to assess the dynamics of non‐linear complex tourism systems.

The time series used in the paper contains data collected from a sample of 23 large (four‐star) hotels located in Milan, Italy. For each structure daily data of occupancy, average room rate and RevPAR (revenue per available room) were recorded for the period 2006‐2009. The daily distributions of these observations are highly skewed, and therefore the median of the daily values were considered. This results in three series of 1,461 points per type (occupancy, room rate and RevPAR).

The data confirm the complex nature of the destination system and its tendency towards a chaotic state. Additionally, high stability and long memory effects are detected. The outcomes and the implications of this analysis are examined.

A comparison of the values obtained leads to the conclusion that the series under study has a detectable level of non‐linearity, even if it does not reach the pure chaoticity of the Lorenz attractor. A first conclusion is that, as qualitatively assessed in many similar studies, the tourism destination is a complex system with a tendency to become chaotic.

The picture obtained with the analyses conducted can be summarised by saying that the system under study exhibits an unequivocally complex nature. It tends towards a chaotic stage but does so at a slow pace. The stability of the system is quite high: it might be able to resist transient shocks well but, once led in one direction, its long memory characteristics tend to keep it on the resulting path.

Tourism has become one of the world's major industries measured in terms of turnover, the number of employees and foreign currency earnings, having at the same time a huge impact on the environment. However, the future development of tourism depends on today's decisions that often do not take into account the positive and the negative impact on the tourism destinations' environment with long-term consequences that are not easily undone. System archetypes are generic structures that are responsible for generic patterns of behavior over time, especially behavior that is counterintuitive. The article aims to explore the possible use of system archetypes in order to increase socially responsible (SR), i.e. systemic thinking and behavior of tourism business organizations, based on the requisite holism theory.

The experimental design methodology has been used in order to test the assumption that individuals familiar with the system archetypes will be more likely to believe that tourism business organizations that operate in tourism destinations should be involved in attaining SR goals. Participants included managers, public authorities and community representatives and were divided into an experiment and a control group. The experiment group was exposed to a workshop on system archetypes, while the control group had no treatment. Structured quantitative interviews were used in order to test differences in attitudes and beliefs on SR of tourism business organizations among the experiment and the control group members.

Natural environment of tourism destinations as tourism's essential resource is often destroyed due to the lack of SR. The research results indicate that the exposure of individuals to system archetypes increased the understanding of importance of SR behavior of tourism business organizations. System archetypes increased individuals' comprehension of the fact that the non-linear causal relationship, time delay and hidden structures of the systems generate complex behavior resulting in damage to the natural environment of tourism destinations.

The survey research on a restricted number of subjects was applied. In order to overcome limitations of such an approach, the rigor procedure for data collection and analysis was used.

Managers of tourism business organizations could use system archetypes to analyse the impact of their activities on tourism destinations environment and thus improve the social responsibility of their decisions. The authors propose the formation of system archetypes and their applications repository in an organized environment to enhance understanding of SR behavior of tourism business organizations.

The authors used experimental design in order to test whether exposure of stakeholders' to system archetypes changes their attitudes regarding SR, with the goal to increase the understanding of various conflicts that emerge from the fact that tourism depends on unspoiled environment and at the same time tourism is a potential polluter. Available literature offers no similar applications of the system archetype approach to systemic behavior via SR in tourism.

The purpose of this paper is to focus on the reforms in the public-holiday-policy system and their influence on the domestic tourism in China. The major reforms in the Chinese holiday system in the last 20 years and the overall changes in the demand for domestic tourism are analyzed in this paper to provide a better understanding of China’s holiday-system reform for policy makers in the future.

This paper summarizes the development and reform of the holiday system in China. Policy review and domestic tourism statistics were applied to study the intrinsic relationship between the holiday system and the domestic tourism. The statistics of domestic tourism are cited, including the growth rates of both urban and rural tourists, the domestic tourism expenditure per capita, etc. Finally, this research explains the trends of these rates in a comprehensive background.

The increasing length of holidays positively affects the domestic tourism demand by increasing the leisure time. Yet, the holiday-tourism activities lead to a series of problems, such as a huge pressure on transportation, overloaded tourist attractions, and threats to safety precautions. Paid leave, price leverage, and more reasonable tourist-attraction arrangements will be effective in easing China’s holiday rush.

Through studying the intrinsic relationship between the holiday system and the domestic tourism, this paper points out the problems of excessive concentration of domestic tourism demand in a particular time, caused by the holiday system. Solutions and suggestions are provided on the basis of the analysis.