
This research focuses on a smart tourism destination plan created in line with the recommendations of ChatGPT. Within the framework of Conversation Theory, a mutual dialog was developed with ChatGPT to create a smart tourism destination plan. Within the scope of this dialog, 3 questions were asked to ChatGPT to create a smart tourism destination plan, examples and level. It is seen that ChatGPT has created a plan consisting of ten dimensions for Nevşehir destination. In this plan, ChatGPT emphasizes areas such as strengthening the digital infrastructure, augmented reality (AR) and virtual reality (VR) applications, online ticketing systems and e-commerce integration in a more comprehensive manner. In addition to these dimensions, the ChatGPT smart tourism destination plan also emphasizes issues such as cultural heritage protection, community engagement, education, digital marketing and security. It is seen that ChatGPT includes many factors that are important for a destination's tourism activities within the scope of smart tourism. Finally, ChatGPT also creates a smart tourism destination level by adhering to the smart tourism destination plan.
Artificial Intelligence;ChatGPT;Smart Tourism;Smart Destinations;Tourist, Turizm (Diğer), Tourism (Other), Yapay Zeka;ChatGPT;Akıllı Turizm;Akıllı Destinasyonlar;Turist
Artificial Intelligence;ChatGPT;Smart Tourism;Smart Destinations;Tourist, Turizm (Diğer), Tourism (Other), Yapay Zeka;ChatGPT;Akıllı Turizm;Akıllı Destinasyonlar;Turist
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
