Authors :
Halkiopoulos; C., AntonopoulouH., Gkintoni; E., Giannoukou
Volume/Issue :
Volume 6 - 2021, Issue 4 - April
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/3t6UVY5
Abstract :
The analysis of decisions and choices of
tourists is of and increased importance. Characteristics,
determinants and anticipation of tourism demand
attract the interest of academic and scientific circles as
well as tourism professionals and those who are
responsible for tourism policy. Also, the integration of
expert systems in tourism policy can be a helpful method
in decision-making process in tourist destination in order
to improve understanding of one’s traveler preference
formation and choice. The proposed a system, within the
domain ESTD.GR, is an Expert System for Tourist
Destinations collaborating with user-tourist-type. It
deals with the key aspects of the consumer behavior of
tourists, such as their motivations, choices and decisions.
The choice of appropriate variables is based on several
factors such as the tourist type, countries of origin, time
period considered due to economic crisis, costs, user
ratings and the forms and type of tourism we are
concerned with.
Keywords :
Digital Marketing, Tourist Destinations, Expert System, Consumer Behavior, Data Mining, DecisionMaking
The analysis of decisions and choices of
tourists is of and increased importance. Characteristics,
determinants and anticipation of tourism demand
attract the interest of academic and scientific circles as
well as tourism professionals and those who are
responsible for tourism policy. Also, the integration of
expert systems in tourism policy can be a helpful method
in decision-making process in tourist destination in order
to improve understanding of one’s traveler preference
formation and choice. The proposed a system, within the
domain ESTD.GR, is an Expert System for Tourist
Destinations collaborating with user-tourist-type. It
deals with the key aspects of the consumer behavior of
tourists, such as their motivations, choices and decisions.
The choice of appropriate variables is based on several
factors such as the tourist type, countries of origin, time
period considered due to economic crisis, costs, user
ratings and the forms and type of tourism we are
concerned with.
Keywords :
Digital Marketing, Tourist Destinations, Expert System, Consumer Behavior, Data Mining, DecisionMaking
