Investigating Determinants and Interaction Quality Effects on Tourists' Intention to Use Mobile Tourism Guide

Trakulmaykee, Numtip; Benrit, Parichard

doi:10.1142/s0219877015500054

Cited by 6 publications

(2 citation statements)

References 34 publications

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“…On the other hand, the hypothesis (H 3 ) on the significant and positive relationship between perceived compatibility and intention to use in this study was supported, which confirmed the findings of prior studies ( 20 , 57 , 76 , 77 ). The current research offered empirical evidence for future eDoctor app research.…”

Section: Discussionsupporting

confidence: 91%

Predicting the Mass Adoption of eDoctor Apps During COVID-19 in China Using Hybrid SEM-Neural Network Analysis

Yang

Mamun

Hayat

et al. 2022

Front. Public Health

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Technology plays an increasingly important role in our daily lives. The use of technology-based healthcare apps facilitates and empowers users to use such apps and saves the burden on the public healthcare system during COVID-19. Through technology-based healthcare apps, patients can be virtually connected to doctors for medical services. This study explored users' intention and adoption of eDoctor apps in relation to their health behaviors and healthcare technology attributes among Chinese adults. Cross-sectional data were collected through social media, resulting in a total of 961 valid responses for analysis. The hybrid analysis technique of partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN) analysis was applied. The obtained results revealed the significant influence of eDoctor apps in terms of usefulness, compatibility, accuracy, and privacy on users' intention to use eDoctor apps. Intention and product value were also found to suggestively promote the adoption of eDoctor apps. This study offered practical recommendations for the suppliers and developers of eHealth apps to make every attempt of informing and building awareness to nurture users' intention and usage of healthcare technology. Users' weak health consciousness and motivation are notable barriers that restrict their intention and adoption of the apps. Mass adoption of eDoctor apps can also be achieved through the integration of the right technology features that build the product value and adoption of eDoctor apps. The limitations of the current study and recommendations for future research are presented at the end of this paper.

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Section: Discussionsupporting

confidence: 91%

Predicting the Mass Adoption of eDoctor Apps During COVID-19 in China Using Hybrid SEM-Neural Network Analysis

Yang

Mamun

Hayat

et al. 2022

Front. Public Health

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“…3 In the tourism industry, information technology has also been developed for the travel and tourism sector. 4 The tourism sector is able to produce about 11% of gross domestic product and employs 200 million people and serving tourists 700 million people worldwide. 5 Surakarta is an autonomous region with the city status under the Central Java province has many tourist attractions.…”

Section: Introductionmentioning

confidence: 99%

Mobile Application Development for Smart Tourist Guide

2017

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The development of internet technologies and smartphones have changed the behavior of people in everyday life interact with one another. Society is becoming more easily in requesting and obtaining information through mobile devices. Surakarta is an autonomous region with the status of a town under the Central Java province that has many interesting attractions area for foreign tourists as well as locals. By 2015 the number of tourists visiting the city of Surakarta as much as 4.2 million people. Some tourists still difficulty in getting information on the location of tourist attractions in the city of Surakarta. This research is used to help travelers in monetizing location information tours in the city of Surakarta. This research method using KNN algorithm, K-means and collaborative filtering. Distance between data user's needs with a purpose will be collected in a category with KNN algorithm and data will be grouped based on the cluster with the nearest mean. Then choose the nearest one and filter options and recommend options are left with major users. The results of the research were obtained that travelers easy and quick in getting the location information in the tourist city of Surakarta. So taste our satisfaction to travelers and may increase the number of tourists visiting the city of Surakarta.

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The Mobiquitous Role of M-tourism Application in Driving Sustainable Tourism Sector in Thailand

Tushar

Salam

Nawrin

et al. 2022

Technology Application in Tourism in Asia

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Investigating Determinants and Interaction Quality Effects on Tourists' Intention to Use Mobile Tourism Guide

Cited by 6 publications

References 34 publications

Predicting the Mass Adoption of eDoctor Apps During COVID-19 in China Using Hybrid SEM-Neural Network Analysis

Predicting the Mass Adoption of eDoctor Apps During COVID-19 in China Using Hybrid SEM-Neural Network Analysis

Mobile Application Development for Smart Tourist Guide

The Mobiquitous Role of M-tourism Application in Driving Sustainable Tourism Sector in Thailand

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