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A tourist destination represents a dynamically regulated system that evolves in space and time. Therefore, it is necessary to anticipate various system reactions to internal and external influences, so that actions can be directed towards the specific goals of supply and demand for products of tourist destinations. A successful process in the life cycle of tourist destination product planning is based on the anticipation and awareness of all participants of supply and demand, as the sustainability values must be perceived within the framework of an integrated destination product. It is necessary to examine assumptions and features of the market valuation of destination business processes from an economic, social and environmental standpoint in line with the principles of sustainable development. This implies the creation of a methodological basis for the recognition, measurement and tracking of complex processes and synergic effects, important for the development of relevant management information-based structures and functions. Measuring the eco-efficiency of a tourist destination represents the basis for building a system of reporting on changes and impacts individual business subjects deployed in the environment. An integrative information system of tourist destinations should provide information on the eco-efficiency of individual business processes, activities, products or a Strategic Business Unit's (SBU's) entire life cycle. Obtained information allows for the preparation of an information basis for reporting on environmental aspects within the system of tourist destinations sustainable development reporting.

Free guided walking tours are one of the most successful tourism segments in the digital platform economy. It is beginning to be associated with negative impacts in some of the destinations where it is spreading rapidly. Although the platform economy is generating increasing academic interest, the free tour model remains largely unexplored area in the literature. This study aims to examine how such activity affects cultural destinations.

Focussing on the largest Free Tours platform operating in Spain, GuruWalk, the methodology used analyses its impact in six cultural destinations on two of the sustainability dimensions: the territorial dimension and the governance, through an exploratory study.

The findings help to understand the differences that such activity generates in each destination depending on the phase of its life cycle, and to implement, if necessary, corrective measures. The research confirms that the impacts differ according to the tourist destination’s maturity, concluding that such activity contributes to the increase of tourist agglomerations and the overcrowding of cultural destinations in their middle and mature life cycles. The findings highlighted the importance of the role of local governance on free tour activity.

The main contribution is the association of the impacts they produce (especially in terms of massification) with destination life cycle phases. There were no similar precedents with a spatial or territorial analysis to reliably demonstrate not only that this activity has an impact on the territory but also what type of impact is produced.

The purpose of this paper is to examine the hotel growth model including hotel brand, culture and life cycle phases of the Myrtle Beach, South Carolina, the fastest growing tourism destination in the United States.

Culture reflecting consuming behaviour of low-context innovators and high-context imitators is measured by the price elasticity of demand (PED). Hotel brand reflecting guests’ hotel class is measured by the income elasticity of demand. Autoregressive distributed lag has been conducted on the Smith Travel Research data in 33 years (1989–2022) to determine the relationship among hotel brand, culture and life cycles.

Skilled labour is the key to make hotels grow. Therefore, increase room rates when hotels possess skilled professionals and decrease room rates when hotels have no skilled professionals. During the rejuvenation in Myrtle Beach (1999–2003), hoteliers increased room rates for innovators due to skilled professionals to increase revenue. Otherwise, a decrease in room rates due to lack of skilled professionals would lead to increase revenue.

(1) Although Myrtle Beach is one of the fastest growing tourism destinations in the US, it has a relatively small geographic area relative to the country. (2) Data cover over one tourist life cycle, so the time span is relatively short. Hoteliers can forecast the number of guests in different culture by changing room rates.

To optimize revenue, hoteliers can select skilled labour in professional design hotel brands which could make an increase in demand for leisure transient guests no matter what room rates increase after COVID-19 pandemic.

The study has considered the applied ethical processes regarding revenue management that would maximize both revenue and customer satisfaction when it set up an increase in room rates to compensate for professional hotel room design or it decreases room rates for low-income imitators in exploration and development.

This research highlights that (1) skilled design in the luxury hotel brand is the key for the hotel growth and (2) there is a steady state of the growth model in the destination life cycle.

Tourist destinations are constantly changing products, evolving as per the controls exerted by the stakeholders. The study aims to map the pattern of tourism development and identify the strategies formed at the destination over a seven-decade period for a state as a unit of analysis.

The paper evaluates tourism development through the tourism area life cycle (TALC) model and uses Mintzberg's strategy analysis process to identify strategies. The study involves time series analysis, pattern matching and explanation-building techniques. The TALC is plotted for the number of tourist arrivals from 1947 to 2019, and strategies are mapped for each stage.

The TALC shows a cycle-recycle pattern of tourism development. The research revealed several strategies at different stages. Both the central and state governments and entrepreneurs, distinctively and in conjunction, have formed strategies. The pattern shows the period of piecemeal and global strategic changes contributing to tourism development.

The research unearths the strategies that drive the development curves of TALC, emphasising the integration of TALC with other theories. The research also assesses the strategy formed in the pre-tourism stage.

The research brings to light the use of TALC as a strategic road-mapping tool. In addition, the study emphasises the significance of global and piecemeal strategic periods and stakeholder's regulatory and operational roles.

The research uses a unique methodology that maps the strategies, periods of strategic changes and incremental strategies for each stage of TALC, along with identifying the stakeholders.

This chapter presents a brief selective review of recent literature from which the operative definition “sustainability diamond” emerges. Subsequently a tourism penetration index is developed for 40 small islands with populations of less than three million. The index scores loosely arrange destinations into three development stages across the life cycle: emerging, intermediate, and high impact. Descriptive profiles of the characteristics of these three stages are presented, followed by a means difference analysis employing a dozen socioeconomic variables. The chapter concludes that these are three empirically distinct stages of development, each having major policy challenges.

The main purpose of this paper is to contribute to the ongoing literature on the pertinence of TALC (tourism area life cycle) to model and analyse mature destinations, using quantitative data and alternative functional forms. With this purpose, this work analyses the recent data on tourist demand in Tenerife (Canary Islands), which is supposed to be playing the role of “refuge” with respect to other competing resorts, when the latter ones present political instability after the so-called Arab Springs, particularly the Middle East and North Africa.

To analyse the data, and to explore potential epiphenomenon, nonlinear competing regression analysis were performed (logistic, Gaussian and logarithmic), taking into account some insights from tourism life cycle theories.

Some suggestions are presented for political management of these destinations that are still working under a moratorium on tourist infrastructure.

Once the TALC is accepted – even under discussion – in the scholarly fore, certain incentives arise to identify, interpret and communicate signals of maturity. Public funds and specific policies (moratoria) can then be solicited to political instances. Further empirical research, complementary quantitative approaches, along with new data that confronts the evolution of demand in Tenerife with paulatine reactivation of competing destinations, will be strongly required to overcome the limitations of this first attempt and to properly determine the effectiveness of rejuvenation policies. Besides, additional quantitative data should be considered to explore the potential explanatory factors beyond the time series analysis into models that are more theoretical.

The results suggest that the diagnosis of maturity was at least premature in the first place, poorly based on data analysis and fast in promoting specific policies whose effectiveness is under discussion even after decades.

This study aims to investigate the decision-making processes of international retirement migrants. The development of a place in response to the high demand for international retirement migration has become an important strategy for stakeholders within host destinations; of particular interest is international retirement migrant behaviour and intention to stay and retire in a foreign country.

This research presents the results of a qualitative study using face-to-face interview techniques. Content analysis technique was used to analyse data from interviews with 33 international retirees in Thailand.

Destination stakeholders must consider creating awareness of the destination through WOM, trustworthy websites and government channels, which migrants evaluate a destination based on pre-retirement visits that create attachment and emotional feelings for the place, and finally, the decision-making processes of short stay, semi-permanent and permanent migrants.

This qualitative study investigated migrants from Europe, Australia and the USA. An understanding of IR migrants from Asia needs further research.

The results can be used as guidelines for government, hospitality and tourism stakeholders. IR migrants want different destination attributes to mainstream tourists, especially a peaceful environment, mild weather (not too cold or hot), and to live among locals.

This study examines migrant decision-making processes. The results provide a theoretical foundation for how IR migrants decide to retire overseas. This comprises three components: destination awareness, secondly, evaluation of the destination’s resources, and finally, the decision and implementation of their plans.

This paper aims to provide an original body of work that presents and discusses the theory that destination leadership is about proactively shaping the future development of destinations and territories. This is the second part of the special issue of Tourism Review on destination leadership.

This editorial introduces the papers included and highlights a few general thoughts about the interplay between destination leadership and territorial development.

This introduction summarizes how the papers in this special issue contribute to two streams of research: first, the papers reflect on the necessity of adapting the specific form and style of destination leadership to the development status of a destination. Second, papers highlight that local stakeholders, local knowledge and the local context, in general, have a high impact on destination leadership.

By summarizing and condensing the various contributions to this special issue, the editorial introduction highlights that destination leadership is about proactively shaping the future of tourist destinations. Furthermore, it argues that this development needs to respect local networks, territorial characteristics, histories and contexts. Therefore, tailoring destination leadership to their own territories seems to be an essential success factor, and in the future, we may want to define Alpine destination leadership, island destination leadership, city destination leadership, etc.

The primary objective of this study is to investigate the linkage of tourism and crime for Pakistan along with exchange rates, terrorism and domestic prices in the presence of structural breaks over the period 1984–2017.

The order of integration is tested through ADF and PP unit root tests. The robustness of unit root test is testified via structural break unit root test. Furthermore, the authors use Bayer and Hanck (2013) combined cointegration test to confirm the existence of a long-term theoretical relationship among the variables. For the robustness of cointegration analysis, the authors also employ ARDL bound testing in the presence of structural break years. Moving forward, the authors apply VECM Granger causality to find out the direction of causality. Subsequently, variance decomposition approach and impulse response function are used to distinguish leader from the followers.

The unit root test shows that the order of integration is one, I(1). The cointegration analysis confirms the long-run relationship between underlying variables. The authors find inverse and significant impact of crime and exchange rate on tourism in the long run. On contrary, domestic prices play a positive and significant role to determine tourism in short and long run. Also, terrorism is found to be insignificant with negative impact. Further, the bidirectional causality between crime and tourism is observed in the long run. Similarly, unidirectional causality from terrorism to exchange and exchange rate to domestic price is observed in the short run.

The contemporary studies on crime-tourism nexus offer limited evidence, as they frequently suffer from omitted variable bias and ignore possible endogeneity issues. This study uses vector autoregressive models to overcome these biases. Similarly, the authors accommodate the role of structural break years through their analysis. Hence, the results offer more credible evidence. Moreover, the authors contribute to the existing tourism demand literature by adding crime as a potential determinate in case of Pakistan.