No abstract

Purpose The purpose of this paper is to provide an overview of how quantitative analysis methods have been and can be used to improve the competitiveness of tourism destination. The focus of the study is social network analysis (SNA). Design/methodology/approach The research methodology is qualitative and consists of the review literature relevant to this thesis. This methodology is necessary to give an account of the methods and the techniques adopted for the data collection used in other economic sectors. Findings SNA is needed to analyze the creation and configuration of communities of practice within destination and to identify possible barriers to effective interaction. Essentially, it is a complex adaptive socio-economic system. It shares many (if not all) of the characteristics usually associated with such entities, namely, non-linear relationships among the components, self-organization and emergence of organizational structures, robustness to external shocks. Research limitations/implications The most important limit of this paper is that all the results presented here do not concern a single case study. Future research studies will provide a larger number of cases and examples to give the necessary validation to the findings presented here. Practical implications This paper provides a view into the network of relationships that may give tourism organization managers a strong leverage to improve the flow of information and to target opportunities where this flow may have the most impact on regulatory or business activities. Originality/value SNA can help to detect actual expertise and consequently project the potential losses deriving from an inefficient flow of knowledge. In addition, the authors will be able to define roles in the organizational networks and make an evaluation of informal organizational structures over the formal ones. Traditional organizational theories lack a concrete correspondence with mathematical studies and in this respect the authors sought to identify a correspondence.

This research investigates the influence of Media Coverage and the perceived risks related to travel and tourism by the pandemic's time on the odds of potential outbound tourists' level of awareness. The data of 1845 individuals nested from more than 12 countries and 4 continents representing quarantined and most impacted areas in the world during the crisis phase. A multilevel model with a categorical dichotomous outcome was applied. The findings confirm that media have preeminent control on accentuating potential travellers' awareness during a crisis as the primary source of information. Besides, the physical perceived risk influences the likelihood to fall in the group of aware individuals. The research gives insights and evidence to practitioners of the tourism industry in destinations to plan and organize better with governmental authorities and provide ethical, responsible, and accurate information about the real situation and the health system's responses through their communication and information efforts during the recovery phase.

The aim of this research is to analyze the factors influencing visit intention and destination image in post-Covid-19 crisis recovery. In post-crisis recovery, the factors influencing visit intention are physical, sociopsychological and financial factors. A total of 426 respondents were selected and analyzed using correlation and multiple regression analyses. The findings demonstrate that physical factors are the main factors that influence tourists' visit intention. Additionally, destination image significantly affects visit intention and significantly mediates the relationship between the factors and visit intention. All this inevitably affects the organizational structure of the tourist destination.

PurposeThe aim of this paper is to verify whether, in the tourism sector, the “family business model” is an important development opportunity and, in particular, if it is an innovation driver for this industry development. In the literature, there is no conclusive evidence of this for the tourism sector. In this context, the authors investigate personal and family needs and preferences alongside the relationship between family business model, growth and profit maximization and the development of tourism businesses through innovation drivers.Design/methodology/approachTo develop this topic, the authors conducted an extensive literature review considering the scientific papers published and contained mainly in database in the last 10 years (2010–2020) and focused the attention on the last five years. The authors ran content and structural analysis on the collected sources by main scientific databases (EBSCO, Scopus, Thomson Reuter, etc.). Based on a systematic literature review, the analysis was conducted using statistical criteria and bibliometric indicators. In detail, the authors used systematic literature review, bibliometric analysis and automatic text analysis (ATA) tools for identified lexicon analysis and strategic keywords and used statistical correlation to classify the different approaches in the literature and to outline the orientations of the various research groups.FindingsFrom this analysis, the correlation between tourism, hospitality, entrepreneurship, life cycle and innovation dynamics was analysed. Important research gaps are identified, and future research priorities are suggested. Implications for both family business and tourism theory are discussed.Originality/valueWhile the intersection between tourism management and family business model has been established in the literature, the number of related publications is still limited. Against this background, a literature review as a total analysis was an adequate and practicable research methodology. This paper proposes a comprehensive literature review and a reflection on the potential developments and applications for family business in the tourism sector. Authors also suggest several research directions that have not been adequately investigated yet. In particular, scholars do not seem to have caught all the implications of innovation adoption, especially for SMEs and family ownerships in tourism.