How CHAID-Based Rule Induction Algorithm Helps Managements of Tourism Sites Improve Tourists' Experiences

摘要

The purpose of this study is to generate a set of hypotheses on dataset of tourists’ experiences resulted from CHAID-based rule induction processes. This study is particularly needed because the generated hypotheses can help managements of any tourism sites improve decision making processes on tourists’ experiences. Methodology in this study follows four major steps i.e. 1) data collection, 2) data cleaning, 3) CHAID processing, and 4) hypotheses generation based on rule induction. The result of this study is a set of hypotheses which can be in general adopted by managements of any tourism sites. However, tourism sites are so various and divergent in their types that the managements are suggested to modify and complement the dataset with their specific attributes to achieve a more relevant set of hypotheses to their sites. This study can be benefit of any businesses in the arena of tourism sites especially for winning the competition, increasing their level of competitive advantages or even for surviving in the arena.