2019
DOI: 10.1080/13683500.2019.1631266
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A current travel model: smart tour on mobile guide application services

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Cited by 46 publications
(28 citation statements)
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References 53 publications
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“…Behavioral intention is an immediate deciding factor that influences an individual's action [37], and TAM has received substantial support in explaining users' acceptance in several domains [6]. Therefore, this study applies TAM to the tourism industry, and according to the results of SEM, we find that the usage intention of an APP positively affects its information search behavior.…”
Section: Discussion Of Usage Intention and Application Information Sementioning
confidence: 86%
See 2 more Smart Citations
“…Behavioral intention is an immediate deciding factor that influences an individual's action [37], and TAM has received substantial support in explaining users' acceptance in several domains [6]. Therefore, this study applies TAM to the tourism industry, and according to the results of SEM, we find that the usage intention of an APP positively affects its information search behavior.…”
Section: Discussion Of Usage Intention and Application Information Sementioning
confidence: 86%
“…These functions allow users to conduct a variety of tourism information search services and commercial behaviors at any time and in any place, by using a variety of methods. Recent tourism APPs focus more on travel information, travel itineraries, and hotel bookings [6]. Bazazo et al [11] indicated that the impact of smartphone and APPs on tourism contributes to pushing the development of tourism wheel for tourists and to achieving an increase in the growth rates for tourism sites.…”
Section: Smartphones and Tourism Appsmentioning
confidence: 99%
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“…The framework of smart geriatric nursing for daily life based on big data in health is shown in Figure 6 . Smart geriatric nursing for daily life includes but is not limited to (1) recommendation of outdoor activities with smart tour for the elderly [ 54 , 55 ]; (2) research and recommendation of university courses for the elderly or collective activities for the elderly [ 56 ]; (3) recommendation of physical status-based dietary habits, food taboos, and perceptions [ 57 , 58 ]; (4) healthy menu recommendation [ 59 , 60 ]; (5) data-based physical exercises recommendation [ 61 , 62 ]; (6) rest and sleep wisdom reminder; (7) antifall reminder; and (8) cooking safe with smart kitchen [ 63 ]. Smart geriatric nursing for daily life should cover the diet and nutrition, environment and life, safety, and activities of the elderly in their daily life.…”
Section: Smart Geriatric Nursing For Daily Life Based On Big Data mentioning
confidence: 99%
“…Most of these characteristics relate to the findings and trends identified in the previous subsections and have a particularly strong impact on the implementation of tourism promotion. Tourism is becoming a highly personalized activity; therefore, tourist organizations have an excellent opportunity to use big data to learn about travel habits and needs of potential guests, and then offer customized services with an appropriate online shopping experience; mobility does not positively influence purchase intentions per se (Chuang, 2019), but only if the content is useful and adjusted to the context (Rodríguez-Torrico et al, 2019). Such targeting and personalization are becoming important digital priorities, which, of course, require web page adjustments.…”
Section: Evaluations Of Mobile Websites In the Tourismmentioning
confidence: 99%