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Clark Hu

Researcher at Southern Taiwan University of Science and Technology

Publications -  57
Citations -  3108

Clark Hu is an academic researcher from Southern Taiwan University of Science and Technology. The author has contributed to research in topics: Tourism & Hospitality industry. The author has an hindex of 25, co-authored 57 publications receiving 2668 citations. Previous affiliations of Clark Hu include University of Nevada, Las Vegas & Temple University.

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The concept of smart tourism in the context of tourism information services

TL;DR: Wang et al. as mentioned in this paper defined smart tourism as an individual tourist support system within the context of information services and an all-encompassing technology, and compared the characteristics of both traditional tourist information service and those incorporated in smart tourism.
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The effect of Facebook users’ arousal and valence on intention to go to the festival: Applying an extension of the technology acceptance model

TL;DR: In this paper, an extended TAM (technology acceptance model) is adopted to explain the mechanism by which social media marketing influences attitudes toward Facebook event pages, and the authors find that users' emotions exhibited on the Facebook event page do have a significant impact on the perceived usefulness, perceived ease of use, and perceived enjoyment of such social media advertising.
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Affect, Travel Motivation, and Travel Intention: a Senior Market:

TL;DR: In this paper, the authors investigate seniors' affect and travel motivation as well as interrelationships between these two constructs and discover the effects of affect and motivation on travel intentions of seniors aged 65 or greater.
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A social network perspective of tourism research collaborations

TL;DR: In this paper, the authors apply social network analysis on co-authorship data obtained from top three tourism journals to explore the patterns of collaborations in tourism research community and reveal that even though the tourism researcher network is large and complex, it is dispersed in the form of several core groups of researchers who sometimes act as nodes in the network.
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Visual representation of knowledge networks: A social network analysis of hospitality research domain

TL;DR: Based on the co-authorship data from recent journal publications over a period of five years, the authors applied social network analysis to explore the network structures and identify their network properties in the hospitality research domain.