2018
DOI: 10.14419/ijet.v7i4.34.23587
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The Impact of Smartphone Adoption on Marketing Therapeutic Tourist Sites in Jordan

Abstract: The aim of the study is to find out the effect of smartphone on marketing therapeutic tourist sites in Jordan. Several factors contribute to this study, including market type templates, therapeutic, demographic and their impact on tourist behavior in Jordan. We apply the technology acceptance (TAM) model to study through the incorporation of smartphone applications on marketing therapeutic tourist sites in Jordan. To achieve this, we use the quantitative research design and rely on appropriate data to test the… Show more

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Cited by 35 publications
(20 citation statements)
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“…In the sample, 65% of the respondents attained a bachelors' degree, 23% had a masters' degree and 12% had a doctorate degree. When respondent access is easy and they volunteer willingly, then the purposive sampling approach should be implemented [82][83][84]. The research sample was developed using students from various colleges.…”
Section: Personal/demographic Informationmentioning
confidence: 99%
“…In the sample, 65% of the respondents attained a bachelors' degree, 23% had a masters' degree and 12% had a doctorate degree. When respondent access is easy and they volunteer willingly, then the purposive sampling approach should be implemented [82][83][84]. The research sample was developed using students from various colleges.…”
Section: Personal/demographic Informationmentioning
confidence: 99%
“…Initially, voice was the main feature of mobile phones, until they become smart phones with multitasking features such as a built-in camera, calendar, music player, etc. (Barkoczi & Lobontiu 2016;Alghizzawi et al, 2018). Similarly, new apps and media features in ARSG might transform smart glasses to allow even more multitasking features that have not yet been used.…”
Section: Multitaskingmentioning
confidence: 99%
“…As social media websites have attracted millions of users, these websites store a massive number of texts generated by users of these websites [14][15][16][17][18][19][20][21]. Researchers were interested in investigating these metadata for search purposes [17,18,[22][23][24][25]. In this section, a number of research papers that explored the analysis and classification of Twitter metadata were surveyed to investigate different text classification approaches [26] and the text classification results.…”
Section: Literature Reviewmentioning
confidence: 99%