Explanation of the smart tourism destination model (case study: tourism companies in Tehran)
The tourism industry is increasingly adopting smart technologies to enhance visitor experiences and organizational performance. This article explores factors influencing the acceptance of smart destination models by tourism companies. The study, based on the technology-organization-environment framework, suggests that support for smart destination projects and motivation to join are influenced by technological, organizational, and environmental factors. According to the purpose, the present research is of applied type and according to the method, it is descriptive survey and quantitative. The statistical population of this study is the employees and managers of tourism businesses in Tehran, 200 of whom were selected as a sample using the accessible method. Questionnaire method was used to collect data. This research includes seven variables of specific benefits, competitive pressure, support for the destination project, commitment to local development, adoption intention, perceived usefulness, and perceived ease. Finally, in order to analyze the data, structural equations and Smart-PLS 3 software have been used. The research, conducted on 200 employees and managers of Tehran-based tourism businesses, found that intention to join is influenced by perceived usefulness and ease of acceptance, while public support is influenced by commitment to local development
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Tourist Spatiotemporal Behavior Pattern: The Case of Big Data Articles
Boroujeni, Roghayeh Ghanbari Ghadikolaei *
Journal of tourism and development, -
Future research into rural destinations is a critical element of the sustainable development of rural tourism in Yazd province (Case Study: Saryazd village)
, Mohammadreza Asadi Zarch *
Journal of Rural Research,