目的地
旅游
定性比较分析
质量(理念)
背景(考古学)
营销
业务
集合(抽象数据类型)
产业组织
计算机科学
地理
考古
哲学
认识论
机器学习
程序设计语言
作者
Aurélie Corne,Sauveur Giannoni,Nicolás Peypoch
标识
DOI:10.1177/13548166241233629
摘要
This paper proposes to investigate tourism performance by employing fuzzy-set Qualitative Comparative Analysis. International tourist destinations are examined to identify the different paths leading to high levels of tourism arrivals and tourism receipts. The findings demonstrate that tourism performance is complex and requires specific combinations of conditions to succeed. The research identifies two types of destinations that rely on different factors to achieve success: Type 1 focuses on price competitiveness, while Type 2 emphasises the quality of the experience. Furthermore, it shows that a peculiar destination performs well in terms of receipts, relying on both price competitiveness and quality of the experience despite a lack of attractions. Type 1 and Type 2 destinations have good predictive validity in a pandemic context.
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