Abstract :

The tourism industry in Crete, Greece is well developed nowadays hosting an increasing number of visitors every year. However, it is affected from various external factors which might reduce its attractiveness as a popular tourism destination worldwide. PESTEL analysis can facilitate the development of a strategic management plan for the local tourism industry. The PESTEL methodology analyzes the political, economic, social, technological, environmental and legal factors which affect the hospitality industry in the island.  Instead of using the opinion of tourism experts and tourism stakeholders the opinion of Chat GPT was used in the current study. The language model responded promptly and rapidly and its answers were further analyzed. Chat GPT identified four to five factors in each PESTEL category affecting the tourism industry in Crete. Its answers were almost similar with the opinion of several stakeholders regarding the external factors influencing the tourism in the island. The results of our study are innovative and useful while they could be used for the development of a strategic management plan for tourism in the island. This is necessary for the promotion of its sustainability and attractiveness as a global tourism destination. Our study could be useful to several stakeholders and policy makers of the tourism industry in the island in order to develop a strategic management plan for the hospitality industry in Crete.

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Keywords :

Assessment, Chat GPT, Crete-Greece, PESTEL Analysis, Tourism

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References :

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