Artificial Intelligence (AI) in Tourism Management and Planning
محل انتشار: اولین همایش بین المللی صنعت گردشگری
سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 94
فایل این مقاله در 10 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:
ICTICONF01_027
تاریخ نمایه سازی: 24 دی 1403
چکیده مقاله:
In the technology-driven times, Artificial Intelligence technology is one of the most innovative inventions that have revolutionized various industries all around the globe. In the digitalized era, Artificial Intelligence technology is being used in various industries and not just the Information Technology industry. Artificial intelligence (AI) is currently present in almost every area of travel and tourism, appearing in different types of applications such as personalization and recommender systems, robots, conversational systems, smart travel agents, prediction and forecasting systems, language translation applications, and voice recognition and natural language processing systems. Recent improvements in big data, algorithms, and computing power have enabled significant enhancements in AI. Furthermore, AI can revolutionize destination management to optimize visitor flows, reduce congestion, and minimize environmental impacts. It will be possible to deliver more personalized and immersive experiences, enriching travelers’ journeys while preserving the cultural and natural heritage of the destinations. In the technology-driven times, the rise in the AI footprint in the tourism industry is a good sign. This is because it indicates that the industry can make the optimum use of the latest technology to improve efficiency and productivity. The customers of the tourism industry will benefit due to the improved level of satisfaction. At the same time, the tourism business undertakings will be able to have better control over the processes. The business processes will be automated to a great extent, and the business operations and protocols will be streamlined in nature.
کلیدواژه ها:
نویسندگان
Amin Faraji
Associated Professor, Department of land Management, Faculty of Management, College of Farabi, University of Tehran, Tehran, Iran
Fateme Shafiee
M.A student of Land Use Planning, Department of land Management, Faculty of Management, College of Farabi, University of Tehran, Tehran, Iran
Masuome Esmaieli
M.A student of Land Use Planning, Department of land Management, Faculty of Management, College of Farabi, University of Tehran, Tehran, Iran