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Clustering E-Satisfaction Factors in Tourism Industry

Authors: M. Moharrer; H. Tahayori;

Clustering E-Satisfaction Factors in Tourism Industry

Abstract

The emergence of the Internet has led to the rapid growth of e-commerce which has had an effect on the nature of different businesses. Tourism industry is not exempted from that. Despite the growing body of literature dealing with tourism industry and online consumer behavior, few researches have been done on satisfaction in e-tourism. This research is going to fill this gap by clustering items that affect customer satisfaction in online tourism which results in investigating main factors which are the determinants of e-satisfaction. In the next step it has been shown that customers' satisfaction will make customers recommend tourism product to the others. This research has collected the data among a group of European people who has experienced e-tourism at least once before. The result helps managers of tourism firms by introducing them the factors namely Convenience, Product offered, Offered information, Web site design which can affect the satisfaction of their customers.

Country
Italy
Related Organizations
Keywords

e-tourism ; e-marketing ; customer satisfaction ; cluster analysis

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    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).
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    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).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green