Developing a Cultural Tourism Scenario in Iran
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 38
فایل این مقاله در 19 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJTS-6-2_004
تاریخ نمایه سازی: 23 اسفند 1402
چکیده مقاله:
This research aims to identify the factors that influence the growth of cultural tourism in Iran and propose a corresponding model. Following the identification of these factors, a scenario is written to optimize their utilization. The research employs a combination of qualitative and quantitative methods to achieve its objectives and finalize the factors. Semi-structured interviews are conducted with experts in the field. In the second phase, after the formal validity of the factors is confirmed, their fuzzy cognitive mapping and scenario are designed using the FCMapper and Pajek software programs. As the results show, the factor of “creating investment opportunities and attracting financial resources in the field of cultural tourism” is the most influential, while the factor of “providing diverse and creative services in Iran’s cultural tourism” is the most impressionable for the development of cultural tourism in Iran. In the task of scenario writing, it has been discovered that, by focusing on attracting financial resources, managers can enhance the infrastructure, create a context for interaction with other countries, identify new target markets, and offer creative services to Iranian cultural tourists through diverse tours. The findings can help stakeholders, managers, and policymakers in Iran’s tourism industry design and develop plans and strategies for the growth of Iran’s cultural tourism
کلیدواژه ها:
نویسندگان
faeze sadat mirfakhradini
Assistant Professor, Department of Tourism, Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran
Mehdi Karoubi
Professor, Allameh Tabataba'i University, Tehran, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :