18 research outputs found
Residents' Subjective Well-Being and Support for Tourism Development: The Case of Alxa, China
This study aims to identify the factors that influence subjective well-being and their support for tourism development. The questionnaire was first designed and distributed online to residents in Alxa. Data were analysed, and the results indicated that positive economic impacts, positive socio-cultural impacts, and positive environmental impacts influence subjective well-being. Residents' perceived negative economic impacts and negative environmental impacts influence negatively their subjective well-being. Also, positive environmental impacts of the tourism development are the most significant factor that affects residents' subjective well-being. Furthermore, subjective well-being was also found to positively influence residents' support for the tourism development in Alxa. Ultimately, based on the findings, this study proposed and discuss both theoretical and managerial implications, as well as the limitations and directions of further studies
An Evaluation of the Attitudes and Perception of the Local Communities in Mysore Towards the Impacts of Tourism Development
Website Adoption for Agritourism Companies: Key Features and Perceptions of Customers
The purpose of this article is to analyze the influence of the key features of agritourism companies’ websites
on customers purchasing decision-making process, by measuring the level of perceived relevance
and satisfaction of customers about the website’s features. Empirical research was conducted based
on a four-stage website adoption model, adapted from previous literature. A web-based questionnaire
was addressed to a sample of Italian tourists who experienced a stay at an agritourism after selecting
it through the website. By combining the perceived satisfaction and importance attributed to a series of
website features, the priorities to take into account to design a website and to establish its main on-line
services have been identified. In order to identify which variables have more influence in defining the
overall evaluation of a website, a regression analysis was conducted. This study provides useful guidance
on the main features of a website on which investments for improvement may be addressed, and which
on-line services should be activated
