Nowadays, Vietnam’s tourism has attracted international visitors very strongly. Because Vietnam is a politically and economically stable country, people are friendly and rich in cultural identity. However, it is facing many problems such as incomplete infrastructure, human resources, service quality, technology capacity… This reality requires each tourism enterprise to constantly improve its competitive capability to compete not only domestic but also foreign tourism enterprises. Therefore, the study objective is to find out the determinants affecting the competitive capability of tourism enterprises in Ho Chi Minh City (HCNC). The researcher surveyed 500 tourists using the services of tourism enterprises and answered 23 questions but sample size of 457 tourists processed. The data collected from July 2018 to March 2019 in HCMC. Simple random sampling technique. Cronbach’s Alpha and the exploratory factor analysis (EFA) analyzed and used for Structural Equation Modelling (SEM) technique. Finally, the findings of the study have five factors affecting the competitive capability of tourism enterprises with significance level 0.01.
Tourism Survey techniques to highlight the hidden tourism attractions in Lebanon is the aim of this work. A questionnaire has been designed in order to get the necessary data and accurate and detailed information about the touristic site or touristic village, tourist facilities and the services capability and manpower. All sources related to tourism sites in Lebanon have been studied. Information has been gathered from field interviews and direct contact with the local people, pictures and drawing detailed maps. We also build a database for each village that includes touristic sites. Our main work is to highlight the hidden touristic areas and benefit and preserve their natural, archaeological and historical resources. A map will be developed for each village. All gathered information and analysed data will be stored in a database and CD/DVD to be presented in tourism organization and travel agencies. Also, all data have been prepared to be published on a website.