In the e-tourism era, online customer reviews with pictures, textual comments, etc. have become a significant information source affecting customers’ purchase intention and behavior. Big data analytics with text mining, semantic network analysis and factor analysis, and regression analysis were applied to help understand cruiser experience and its relationship to cruiser satisfaction in the Asian cruise market through online cruiser reviews. Research results confirmed the dimensions of cruise experience from previous studies, while more importantly, “Onshore attributes” was explored in this study using the insight of big data, which was never investigated as a facet of cruise experience previously.
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Tao et al. (2019) studied this question.
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