{"title":"The Potential Dynamics of “Albergo Diffuso” as Relaunch of Sustainable Tourism in the Post COVID-19 Era","authors":"Antonietta Cosentino, B. Iannone","doi":"10.5539/IJBM.V15N8P75","DOIUrl":null,"url":null,"abstract":"The Covid-19 pandemic has had a disruptive effect on tourism due to mobility restrictions in all world regions. During Summer 2020, full exploitation of sustainable and safe local tourism is expected. The purpose of this paper is to emphasize the “albergo diffuso” (AD) (translation scattered hotel) contribute to the economic recovery, during the \"post COVID-19 time\". To comply with the paper aim we use a qualitative research method based on a single case study. Primary data are collected by semi-structured interviews with apical figures of our case study. The findings show that the AD business model is suitable to meet the changing demands of the tourists at the post-pandemic era without having to substantially change strategies, activities and tourist offer. AD’s characteristics allow the full hospitality of tourists in compliance with the social distancing required by the safety regulations. Unique adjustments required are: i) the drawing up of agreements with local structures to decentralize the provision of any services; ii) the spread of activities that promote social distancing; iii) the introduction of greater flexibility in terms of booking and cancellations. This paper contributes to the existing literature because is the first study focus on the link between AD business model and comply with the measures to protect public health at the Covid-19 time. Thus the results offer suggestions both to tourist operators regarding the differentiation of their supply as well as policy makers to support the development of this kind of hospitality.","PeriodicalId":54064,"journal":{"name":"International Journal of Biometrics","volume":"64 1","pages":"75"},"PeriodicalIF":0.6000,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Biometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5539/IJBM.V15N8P75","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
The Covid-19 pandemic has had a disruptive effect on tourism due to mobility restrictions in all world regions. During Summer 2020, full exploitation of sustainable and safe local tourism is expected. The purpose of this paper is to emphasize the “albergo diffuso” (AD) (translation scattered hotel) contribute to the economic recovery, during the "post COVID-19 time". To comply with the paper aim we use a qualitative research method based on a single case study. Primary data are collected by semi-structured interviews with apical figures of our case study. The findings show that the AD business model is suitable to meet the changing demands of the tourists at the post-pandemic era without having to substantially change strategies, activities and tourist offer. AD’s characteristics allow the full hospitality of tourists in compliance with the social distancing required by the safety regulations. Unique adjustments required are: i) the drawing up of agreements with local structures to decentralize the provision of any services; ii) the spread of activities that promote social distancing; iii) the introduction of greater flexibility in terms of booking and cancellations. This paper contributes to the existing literature because is the first study focus on the link between AD business model and comply with the measures to protect public health at the Covid-19 time. Thus the results offer suggestions both to tourist operators regarding the differentiation of their supply as well as policy makers to support the development of this kind of hospitality.
期刊介绍:
Biometrics and human biometric characteristics form the basis of research in biological measuring techniques for the purpose of people identification and recognition. IJBM addresses the fundamental areas in computer science that deal with biological measurements. It covers both the theoretical and practical aspects of human identification and verification.