scholarly journals Mobile Applications in Tourism

2022 ◽  
Vol 18 (1) ◽  
pp. 0-0
Keyword(s):  
Technology Acceptance ◽  
Mobile Applications ◽  
Structural Equation ◽  
Mobile App ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Personal Innovativeness

Based on an extended version of the Technology Acceptance Model (TAM), this study aims to understand the intention to use tourism mobile applications. WOM about app and personal innovativeness was added to the original model along with perceived usefulness, perceived ease of use and attitude. A questionnaire was distributed through the convenience sampling method and 440 valid respondents were retained and analysed using Structural Equation Modeling (SEM). The results of this study show that WOM about app represents the strongest predictor of the intention to use of tourism mobile applications followed respectively by perceived usefulness, attitude toward using tourism mobile applications and personal innovativeness. The findings provide implications that would benefit managers in the hospitality and tourism sector as well as mobile app developers in order to ensure the effectiveness of their marketing and communication strategies and adapt their activities to the needs of a customer of the digital age.

A comprehensive acceptance model for smart home services

2022 ◽  
Vol 6 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Amer Al-Husamiyah ◽  
Mahmood Al-Bashayreh
Keyword(s):  
Technology Acceptance ◽  
Smart Home ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Smart Devices ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model

Smart home services (SHSs) afford users an effective lifestyle management system, which provides human-oriented networking of smart devices and applications that enable users to control their homes from anywhere at any time. Despite the benefits of SHSs, however, their acceptance is very low. There remains a gap in the literature in terms of a comprehensive model that addresses users’ intention to use SHSs. To address this gap, the present study explored the factors that influence SHS acceptance among users based on well-established theoretical frameworks, such as the technology acceptance model, innovation diffusion theory, and the theory of planned behavior. To this end, the study integrated four additional factors, namely, perceived convenience, perceived connectedness, perceived cost, and perceived privacy risk, into the exploration and carried out structural equation modeling to quantitatively determine the effects of these factors. Questionnaires were administered to 750 users. The findings indicated that perceived compatibility, perceived convenience, perceived connectedness, perceived cost, perceived behavioral control with perceived usefulness, and perceived ease of use directly and indirectly exerted a significant influence on users’ intention to use SHSs.

scholarly journals Platform Adoption Factors in the Internet Industry

2018 ◽  
Vol 10 (9) ◽  
pp. 3185 ◽  
Author(s):  
Junic Kim
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Positive Effects ◽  
Internet Industry ◽  
Acceptance Model

This study examines the factors influencing the choices of Internet platform services by applying the technology acceptance model. For this purpose, the analysis is conducted with 222 people who use different types of Internet platforms by utilizing structural equation modeling. The results show that perceived usefulness had positive effects on the intention to use, perceived ease of use, diversity, and security risks affected by the perceived usefulness, and the indirect influences on the intention to use. In addition, satisfaction (in relation to service quality) was found to affect both perceived ease of use and perceived usefulness. This research is significant because it will make it possible to predict users’ perceptions of Internet platforms, which is important for establishing relevant strategies.

scholarly journals Integrative Factors of E-Health Laboratory Adoption: A Case of Indonesia

2021 ◽  
Vol 13 (2) ◽  
pp. 26
Author(s):  
Dwiza Riana ◽  
Achmad Nizar Hidayanto ◽  
Sri Hadianti ◽  
Darmawan Napitupulu
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Digital Health ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Laboratory System ◽  
Perceived Ease Of Use ◽  
Personal Innovativeness ◽  
Task Technology Fit

Around the world, the adoption of digital health applications is growing very fast. The use of e-health laboratory systems is increasing while research on the factors that impact users to use e-health laboratory systems in Indonesia has not been done much. The objective of this study is to analyze the behavioral factors of e-health laboratory users. This study includes a survey conducted on Indonesian users, and data analysis was carried out thoroughly. Based on the Technology Acceptance Model, this research framework explores a combination of variables consisting of task-driven, technology-driven, human-driven, and adoption variables to form the model proposed in this study. This model was verified using the Structural Equation Modeling (SEM) method for factor analysis, path analysis, and regression. A total of 163 respondents were collected to evaluate this research model empirically and the level of this study were individuals. These three problems are all essential in affecting usage intentions in adopting an e-health laboratory system. Specifically, task technology fit, information quality, and accessibility show a direct effect on both perceived usefulness and perceived ease of use factors perceived by the user, and have an indirect influence on the adoption of an e-health laboratory system through these two factors. The design of an online laboratory system affects perceived ease of use and personal innovativeness factors affect the perceived usefulness that users feel when adopting a laboratory system, while task technology fit and personal innovativeness factors do not affect the perceived ease of use. However, overall technology characteristic and perceived usefulness followed by design are the main predictors of adopting an e-health laboratory system on e-health systems in Indonesia.

scholarly journals Determinants of Intention to Use Digital Technology for Older Adults by Environmental Dimensions

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 258-258
Author(s):  
Sangyoon Han ◽  
Seok In Nam
Keyword(s):  
Older Adults ◽  
Technology Acceptance ◽  
Digital Technology ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Digital Inequality

Abstract Due to the COVID-19 pandemic, it is common to hear news of older adults being socially isolated due to difficulties in purchasing or accessing online services and in interacting with family or friends through video calling apps. Despite an increasing ease of access to digital devices, such access far from universal. Thus, digital inequality has become a serious problem for older adults. To understand why digital inequality issues are so relevant for older adults, we must understand older adults' entire life contexts and the potential of digital technologies in their lives. With these understandings, the purpose of this study was to explore the technology acceptance process and identify key precursors to acceptance of digital technology using the Technology Acceptance Model (TAM) 3 as a framework. This study used data from the 2018 Digital Divide Survey of the Ministry of Science and ICT. A total of 1,662 older adults (aged 55+) were analyzed using structural equation modeling with bootstrap sampling. Model fit indices (CFI = .928; SRMR = .074; RMSEA = .044) suggested an acceptable fit. Results indicated that two environmental dimensions, personal environment (self-efficacy and value recognition) and social environment (social norms and social support systems), had a significant impact on the intention to use technology both directly and indirectly. Furthermore, perceived usefulness and perceived ease of use mediated between environmental domains and the intention. This study indicates that providing appropriate digital support for older adults is important to achieve greater digital inclusion.

scholarly journals Understanding an Extension Technology Acceptance Model of Google Translation: A Multi-Cultural Study in United Arab Emirates

2020 ◽  
Vol 14 (03) ◽  
pp. 157 ◽  
Author(s):  
Rana Saeed Al-Maroof ◽  
Said Abdelrahim Salloum ◽  
Ahmad Qasim AlHamadand ◽  
Khaled A. Shaalan
Keyword(s):  
Technology Acceptance ◽  
United Arab Emirates ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Target Language ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Tam Model

The importance of using Google Translate (GT) has become dominantly more effective. Most researchers, professors, and students rely on its translation as an immediate source of getting the information in different countries all over the world. However, the academic literature fails to acknowledge what factors could contribute to the user's intention to use GT, and consequently fail to discover the effects of using GT. The purpose of this study is to explore GT acceptance in UAE. It is assumed that users' attitude towards GT may vary based on the language used. The variations in languages are unidirectional from the source language (SL) to the target language (TL) and vice versa. The suggested analytical framework is based on an extended TAM model that is proposed by [1]. A quantitative methodology approach was adopted in this study. The hypothesized model is validated empirically using the responses received from a survey of 368 respondents were analyzed using structural equation modeling (SEM-PLS). Results indicated that Perceived Ease of Use, Perceived Usefulness, and Motivation have a significant impact on Behavioral Intention to use GT. In addition, Perceived Usefulness and Motivation significantly influenced Perceived Ease of Use. Furthermore, Perceived Usefulness is in turn influenced by Experience. The findings provide significant theoretical and practical implications for translation researchers, teachers, and MT system developers.

scholarly journals An integration of TAM with usage barriers and ability to understand consumers intention to use SSTs

2020 ◽  
Vol 13 (2) ◽  
pp. 137-150
Author(s):  
Sompoch Tongnamtiang ◽  
Adisorn Leelasantitham
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Self Service ◽  
Self Service Technology

This study examined the factors that influence consumers’ acceptance and use of self-service technology by integrating a ground theory model such as the technology acceptance model and the theory of innovation adoption. The variables that affect consumers’ attitudes and intentions were investigated; this included perceived usefulness, perceived ease of use, relative advantage, complexity and knowledge. Further, the variables from the resistance theory, which consist of usage barriers and ability, were investigated. Interviews and surveys were conducted with two business operators that provide TVM services; eight hundred online and offline consumers who experienced the TVMs were selected as a sample. The research model of this study was developed, and the correlations between the variables analyzed, using structural equation modeling. Our results confirm that the factors such as relative advantage, knowledge, perceived usefulness and perceived ease of use positively affected the attitude and intention toward using the TVM; factors such as usage barriers and complexity negatively impacted the intention to use the top-up machine. These results can be used as baseline data for developing or designing self-service technology. Entrepreneurs should consider these factors to make technology continue to be recognized and persisted in the use of technology.  

Factors Affecting Acceptance of Mobile Library Applications: Structural Equation Model

Libri ◽  
2018 ◽  
Vol 68 (2) ◽  
pp. 99-112 ◽  
Author(s):  
Hamaad Rafique ◽  
Fozia Anwer ◽  
Azra Shamim ◽  
Behrouz Minaei-Bidgoli ◽  
Muhammad Ahsan Qureshi ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Structural Equation Model ◽  
Mobile Applications ◽  
Structural Equation ◽  
Empirical Support ◽  
Equation Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use

Abstract Acceptance and intention to use mobile applications in a library context is attracting a great deal of interest in education field. A sparse amount of research was conducted in mobile library applications (MLA) previously, investigating the influential factors of intention to use MLA. Research here aims to provide empirical support on acceptance of MLA, library access through mobile applications, with the model developed by taking a technology acceptance model (TAM) in MLA context by adding perceived mobility value, system accessibility and satisfaction for investigating the influence on behavioural intention to use MLA. A self-administrated cross-sectional survey was conducted to collect data from 321 users of MLA in the COMSATS Institute of Information Technology (CIIT) in Islamabad, while a structural equation model (SEM) using analysis of moment structure (AMOS) software was used for examining quantitative data. Results revealed that satisfaction and perceived ease of use are direct significant predictors of intention to use MLA, whereas system accessibility was influenced by the perceived ease of use. However, the perceived mobility value shows a weak effect on intention to use MLA in terms of perceived usefulness. Results serve as a guide for effective decision-making in development and resource allocation to ensure the success of the library’s vision and mission.

scholarly journals A Framework of Mobile Banking Adoption in India

2020 ◽  
Vol 6 (2) ◽  
pp. 40
Author(s):  
Ashish Kumar ◽  
Sanjay Dhingra ◽  
Vikas Batra ◽  
Harish Purohit
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Mobile Banking ◽  
Perceived Ease Of Use ◽  
Personal Innovativeness ◽  
Acceptance Model ◽  
Adoption Intention

Mobile banking is now an important and evolving medium for executing banking transactions. It has a huge potential in a developing country such as India. Our study explores the important antecedents of the mobile banking adoption intention of Indian customers and proposes a comprehensive framework by extending the traditional technology acceptance model (TAM). Along with the two constructs provided by TAM, four customer-oriented constructs have also been measured for this purpose. The conceptual model has been verified empirically, with the data mobilized with the help of a survey from 203 future mobile banking service users. The structural equation modeling (SEM) technique has been undertaken to establish the effect of the antecedents on mobile banking adoption intention. The results demonstrate that, together with the constructs of TAM, viz. perceived usefulness and perceived ease of use, as well as all other relevant behavioral factors, namely subjective norms, personal innovativeness, trust, and self-efficacy have exerted a statistically significant positive effect on the mobile banking adoption intention of customers. The study provides an empirical foundation, which can be useful to banking and mobile services by helping companies to formulate their marketing strategies.

Exploring the intention to use mobile learning: the moderating role of personal innovativeness

2014 ◽  
Vol 16 (1) ◽  
pp. 40-61 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Technology Acceptance ◽  
Mobile Learning ◽  
Structural Equation ◽  
Group Analysis ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Content Type ◽  
Personal Innovativeness

Purpose – The main purpose of this study was to combine the extended technology acceptance model (TAM) with the innovation diffusion theory (IDT) to examine how learners' beliefs affected their usage intention of mobile learning (m-learning) and explore whether the relationships between learners' beliefs and their usage intention of m-learning changed under different levels of personal innovativeness regarding the new information technology (IT). Design/methodology/approach – Sample data for this study were collected from Taiwanese mobile phone users, a total of 750 questionnaires were distributed, and 486 usable questionnaires were analyzed in this study, with a usable response rate of 64.80 per cent. Collected data were analyzed using structural equation modeling, multiple group analysis, and hierarchical moderated regression analysis. Findings – Perceived usefulness (PU), perceived ease of use (PEOU), perceived enjoyment (PE), and compatibility can play essential roles in affecting learners' intention to use m-learning. Personal innovativeness can moderate the effects of PU, PEOU, and compatibility on intention to use m-learning except the effect of PE on intention to use m-learning. Originality/value – Based on the views of the extended TAM with the IDT, this study incorporates intrinsic motivator (i.e. PE) along with conventional extrinsic motivators (i.e. PU and PEOU) into its analysis of m-learning acceptance for a more robust analysis and exhibits explicit results indicating that the effects of learners' beliefs on their usage intention of m-learning depend largely on their innovative predisposition regarding the new IT.

scholarly journals Penerimaan mahasiswa terhadap pembelajaran daring selama pandemi Covid-19 dengan pendekatan Technology Acceptance Model

2021 ◽  
Vol 8 (2) ◽  
Author(s):  
Nur Latifah ◽  
Sulis Rokhmawanto ◽  
Purwanto Purwanto ◽  
Laili Syarifah
Keyword(s):  
Online Learning ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Test Results ◽  
Perceived Ease Of Use ◽  
Acceptance Model

Pandemi Covid-19 memberikan perubahan dalam proses pembelajaran di lembaga pendidikan termasuk pada pendidikan tinggi. Perubahan tersebut dapat dilihat dari pelaksanaan pembelajaran dalam satu tahun terakhir yang harus dilaksanakan secara daring. Pembelajaran daring dilaksanakan guna mendukung kebijakan pemerintah berupa Pembatasan Berskala Besar (PSBB). Para dosen telah berupaya melaksanakan pembelajaran daring dengan menggunakan berbagai aplikasi yang telah tersedia seperti zoom meeting, google meet, quiz dan aplikasi lainnya. Penelitian ini bertujuan untuk membuktikan secara empiris terkait intention to use dalam pembelajaran daring dengan attitude sebagai variabel mediasi. Data penelitian sebanyak 297 yang dikumpulkan secara daring. Responden penelitian merupakan mahasiswa aktif di berbagai perguruan tinggi yang ada di Kabupaten Magelang. Data penelitian dianalisis structural equation modeling dengan menggunakan software Smart PLS. Hasil pengujian membuktikan bahwa pedagogic competence, perceived ease of use dan perceived usefulness dapat mempengaruhi attitude. Hasil pengujian lainnya membuktikan perceived usefulness dan attitude berpengaruh terhadap intention to use, namun pedagogic competence tidak terbukti. Hasil pengujian pengaruh tidak langsung dapat diketahui bahwa attitude dapat memediasi hubungan antara pedagogic competence, perceived ease of use dan perceived usefulness terhadap intention to use.Student acceptance of online learning during the Covid-19 pandemic with the Technology Acceptance Model approach AbstractCovid-19 pandemic provided a change in the learning process in educational institutions included in higher education. These changes could be seen from the implementation of learning in the past year which should be implemented online. Online learning was be implemented to support government policies in the form of Large-Scale Restrictions (PSBB). The lecturers had made efforts to implement online learning by using various available applications such as zoom meetings, google meet, quizzes, and other applications. This study aims to prove empirically the intention to use online learning with attitude as a mediating variable. The research data were 297 collected online. Research respondents were active students in various universities in Magelang Regency. The research data were analyzed structural equation modeling using Smart PLS software. The test results prove that pedagogic competence, perceived ease of use, and perceived usefulness could affect attitude. Other test results prove that perceived usefulness and attitude had an effect on the intention to use, but pedagogic competence is not proven. The results of the indirect effect test show that attitude can mediate the relationship between pedagogic competence, perceived ease of use, and perceived usefulness for intention to use.

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