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The differential effects of online content on healthcare adoption: Hierarchical modelling

Authors
Moon, J.-Y.Hong, J.-W.
Issue Date
2018
Publisher
Little Lion Scientific
Keywords
Adoption; Analysis; Big data; Differential effect; Healthcare; IT content; Text mining
Citation
Journal of Theoretical and Applied Information Technology, v.96, no.6, pp 1722 - 1731
Pages
10
Indexed
SCOPUS
Journal Title
Journal of Theoretical and Applied Information Technology
Volume
96
Number
6
Start Page
1722
End Page
1731
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/12986
ISSN
1992-8645
1817-3195
Abstract
With increasing interest in health, the medical tourism market has become more important than ever. This study was to analyze the factors of consumer keywords used online search in healthcare. To this end, we based the amount of searches on the text mining by Google. We used hierarchical modeling to categorize consumer’s adoption of healthcare. The findings are as follows: First, medical tourism has positive effects on various categories of travel, health, beauty, social, and other categories as well. In particular, it is found that its impact on travel category was greater than the other categories and its impact on the social category was important as well among the online consumers. Second, the categories of healthcare, finance, business, government have positive effect on healthcare adoption. This study was intended to contribute to finding out consumer behavior patterns in healthcare industry using big data. In conclusion, it’s suggested that adoption strategy should be used differently according to the type of its content, in order to diffuse medial tourism. ? 2005 ? ongoing JATIT & LLS.
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경영대학 (국제통상학과)
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