236 research outputs found

    Tourism Destination Competitiveness in Italy: a Stakeholders’ Perspective

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    The paper aims at evaluating destination competitiveness of one the world’s leading tourism countries from a stakeholders’ perspective. A survey questionnaire has been submitted to 550 tourism stakeholders from a number of outstanding Italian destinations. Destination competitiveness was analysed at national level, as well as according to type, size and geographic localization of the destinations. Empirical analysis shows that tourism policy, destination management and general infrastructures are the weakest features of the Italian tourism system. They contribute to explain the gap that has emerged between Italy and its main competitors in the last two decades. Unexploited tourism potentials have been found in smaller and inland destinations and in the less developed southern part of the countr

    Uncovering knowledge on travel behaviour during {COVID}-19: a convergent parallel mixed-methods study in the context of Italy

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    Against the background of uncertainty and crisis generated by COVID-19, academics and practitioners have struggled to envision how travelling behaviour will be transformed by the pandemic and when it will resume. Despite its relevance to both theory and practice, current research devoted to this research strand is still in its early stages. This study, reliant on Protection Motivation Theory, was conducted in order to assess the ways in which travellers’ preferences are changing as a result of the coping strategies they adopt to protect themselves from the health crisis. To do this, a convergent parallel mixed method approach (data validation variant) was applied to a sample of 4,539 completed questionnaires, collected in Italy, which included 1,577 usable qualitative answers. A factor-cluster analysis was carried out on the quantitative data. Two factors driving destination choice emerged, namely: “Personal protective equipment, sanitation, and physical distancing” and “Outdoor and under-crowded tourism attractions and destinations”. The cluster analysis divided individuals into three groups: “All-round concerned tourists”, “Middle-concerned tourists”, and “Outdoor-driven tourists”. Finally, a series of chi-square and F-tests revealed that significant differences existed between the clusters, based on socio-demographics and travel-related characteristics (i.e., preferred accommodation facilities and means of transport, geographical scale of travelling, and travel companions). Quantitative results were then merged with qualitative results, allowing us to further deepen our understanding of travel behaviours during the pandemic and the related coping strategies. Contributions to this body of knowledge and managerial implications are discussed and suggestions for further research are given

    Profiling airport travellers based on their perceptions, satisfaction and intention to recommend food and beverage services

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    Abstract: Consuming Food and Beverage is one of the most frequent non-aeronautical activities that passengers enjoy at airports and that significantly contributes to airport profitability. Despite this, there is still limited research aimed at analysing passengers’ consumption behaviour of F&B. With the aim to contribute to this somewhat under investigated research area, this study applies a factor-cluster analysis on a sample of 1,139 airport travellers. Results from factor analysis reveal four underlying dimensions of F&B perceptions (i.e. atmospherics, staff quality, value of money, product quality) and one dimension related to satisfaction and intention to recommend airport-based F&B services (i.e. “satisfaction and intention to recommend”). Cluster analysis applied to the scores of the five factors reveal that three clusters exist (i.e. “enthusiastics”, “neutrals” and “price sensitives”). Chi-squared analysis tests show that significant differences exist based on socio-demographics (i.e. age, education level, employment status), travel-related variables (i.e. frequency of travelling) and flight-related variables (i.e. flying and check-in modality). Contributions to the theory, managerial implications and limitations to the study are discussed, and suggestions for further research are made

    The impact of COVID-19 on Italian accommodation: A supply-perspective

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    Purpose: The current COVID-19 pandemic has created an extremely dynamic and uncertain environment in which businesses find it very difficult to operate, particularly those in the hospitality industry. It is therefore very important to understand which actions hospitality businesses think the private and public sectors should adopt in order to cope with the pandemic and its impact. To facilitate this, this research adopted chaos theory to investigate Italian small and medium enterprises (SMEs) in the hospitality sector. Methods: A mixed method approach, based on a convergent parallel design data validation variant, was adopted. A survey with open and closed questions was developed and sent to a sample of businesses. 1,040 completed questionnaires were collected and analysed through descriptive statistics; in addition to these usable surveys, 361 open-ended answers were analysed thematically. Results: The results showed that Italian entrepreneurs and managers were over-relying on interventions from the public sector and that there was a lack of business actions being made, thus evidencing a deficit in terms of long-term strategic thinking and the innovation required during such turbulent times. Implications: Although these results cannot be generalised to the whole of the hospitality industry, they shed light on important elements that industry associations should take into account

    Utjecaj sadrĆŸaja koji stvaraju korisnici na odabire turista

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    Most research on user-generated content (UGC) has focused on readers of comments and reviews. However, very little research is aimed at profiling travelers based on the extent to which their decisions regarding the choice of hotels are influenced by UGC. This research was therefore carried out to profile tourists based on the extent to which their choices of hotels are influenced by different types of peer-to-peer applications, while also considering their socio-demographic characteristics, frequency of travel, and motivations for using the Internet and UGC when making their travel choices. For this purpose, latent class segmentation was applied on a sample of 607 Italian tourists, and three clusters were identified: “digitally passive tourists”, “focused tourists”, and “social tourists”. Wald and Chi-square tests revealed significant differences among the three clusters based on all the variables considered in the study. Its findings suggest that hospitality marketers should run their social media strategy by focusing their attention on Travel 2.0 applications according to the socio-demographic and behavioral characteristics of their target market. Contributions to the body of knowledge and suggestions for further research are given.Većina istraĆŸivanja o sadrĆŸaju koji stvaraju korisnici (user-generated content, UGC) usredotočena je na čitatelje komentara i recenzija. Unatoč tome, postoji malo istraĆŸivanja kojima je cilj profiliranje putnika prema mjeri u kojoj UGC utječe na njihovu odluku o odabiru hotela. Zbog toga je ovo istraĆŸivanje provedeno kako bi se profilirali turisti prema mjeri u kojoj je njihov odabir hotela pod utjecajem različitih vrsta peer-to-peer aplikacija. Pritom su se isto tako uzele u obzir njihove sociodemografske karakteristike, učestalost putovanja i motivacija za koriĆĄtenje interneta te sadrĆŸaja koji stvaraju korisnici pri odabiru putovanja. U tu svrhu primijenjena je vrsta klasterske analize pod nazivom latent class segmenation anayisis na uzorku 607 talijanskih turista, pri čemu su identificirana tri klastera, a to su: „digitalno pasivni turisti“, „fokusirani turisti“ i „druĆĄtveni turisti“. Na osnovi svih varijabli razmatranih u istraĆŸivanju Waldov i hi-kvadrat test pokazali su postojanje značajnih razlika između triju klastera. Nalazi istraĆŸivanja upućuju na to kako bi marketinĆĄki stručnjaci u turizmu i ugostiteljstvu trebali provoditi strategiju druĆĄtvenih medija fokusirajući svoju paĆŸnju na putničke 2.0 aplikacije, uzimajući u obzir socio-demografske i bihevioralne karakteristike njihovog ciljnog trĆŸiĆĄta. Prikazan je doprinos postojećim spoznajama te su navedene preporuke za daljnja istraĆŸivanja
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