• International Journal of Computer Science & Network Security
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• v.21 no.3
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• pp.219-228
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• 2021

The adoption of new technology in any organization will represent change, and such change needs user acceptance for its successful implementation. Saudi Arabian health centers are no exception; therefore, the current study will investigate the adoption of new technology, namely that of virtual reality (VR), within health centers in Saudi Arabia and specifically in Riyadh City. This study explores the current state of VR technology adoption, factors that influence such adoption, and the extent of this technology's efficiency when it is used for vaccinating children. The data were collected from two samples: workers in vaccination clinics who responded to a survey and a group of children who participated in the VR technology experiment. The current study proposed a model based on the unified theory of acceptance and use of technology 2 (UTAUT2), with the addition of two variables: personal innovativeness and satisfaction. The results indicated that the respondents' perceptions regarding the health centers' infrastructure in terms of adopting VR were moderate. Among the factors affecting VR adoption, satisfaction, personal innovativeness, and behavioral intention were identified as vastly influential factors. From the eight hypotheses, six were found to be supported, with their factors significantly influencing behavioral intention with regard to VR technology adoption. Besides, the experiment concerning the use of VR technology on children verified the technique's high efficiency in terms of providing pain management and fear removal. These findings support the continuity of VR technology use, expand its future application fields, and integrate this study into the literature on technology acceptance models for VR adoption, as limited studies have covered this topic; consequently, this will benefit future research in this field.

• Journal of Service Research and Studies
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• v.10 no.4
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• pp.57-70
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• 2020

Globally, cloud service is a core infrastructure that improves industrial productivity and accelerates innovation through convergence and integration with various industries, and it is expected to continuously expand the market size and spread to all industries. In particular, due to the global pandemic caused by COVID-19, the introduction of cloud services was an opportunity to be recognized as a core infrastructure to cope with the untact era. However, it is still at the preliminary stage for market expansion of cloud service in Korea. This paper aims to empirically analyze how cloud services can be accepted by users by each industry through extended Technology Acceptance Model(TAM), and what factors influence the acceptance and avoidance of cloud services to users. For this purpose, the impact and factors on the acceptance intention of cloud services were analyzed through the hypothesis test through the proposed extended technology acceptance model. The industrial sector selected four industrial sectors of education, finance, manufacturing and health care and derived factors by examining the parameters of TAM, key characteristics of the cloud and other factors. As a result of the empirical analysis, differences were found in the factors that influence the intention to accept cloud services for each of the four industry sectors, which means that there is a difference in perception of the introduction or use of cloud services by industry sector. Eventually it is expected that this study will not only help to understand the intention of using cloud services by industry, but also help cloud service providers expand and provide cloud services to each industry.

• Journal of Korea Spatial Information System Society
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• v.9 no.1
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• pp.15-30
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• 2007

The purpose of this study is to explore essential factors of influencing user's usage intentions on telematics services and to find relationships among factors. This study derives several variables and hypotheses through literature reviews on the extended research model based on Davis's Technology Acceptance Model. With the objective of statistical verification, derived variables were sorted into meaningful categories through various statistical packages. These were included multiple regression analysis to improve the reliability of survey data. The demand analysis was conducted by targeting on users who have previously experienced telematics services. Indicated analyzed results which 'suitability', 'localization', and 'instant connectivity' variables were positively related to the user's usage intentions, especially accuracy of information variable. The factors of influencing the usage intention on telematics services can be useful empirical data in order to analyze the market trends and to suggest industrial or political guideline of telematics services.

• Journal of Internet Computing and Services
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• v.12 no.4
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• pp.73-91
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• 2011

This research aims to compare the features and environments for media acceptance of tablet against laptop computer in the u-Learning environment. While it is need to accept suitable media for u-Learning learner, most of existing research has focused on finding factors which can affect perceived usefulness and perceived ease of use on extended technology acceptance model and how to fulfill those factors. Thus this research drew four categories need to use media in the u-Learning environment, then adopts Kano's model and IPA methodology. The results by Kano's model identify exciting and basic attributes which do not match overall satisfaction of learners. Moreover the research analyses by IPA methodology illustrate whether the factors considered important by learners are fulfilled. The research also emphasis the significance of enhancing relative importance as well as satisfaction of the properties for media acceptance in the u-Learning environment.

• Journal of Venture Innovation
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• v.2 no.2
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• pp.1-19
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• 2019

Various studies have been conducted on factors influencing the adoption of new technologies. In particular, the factors influencing customers' acceptance of new technologies that emerged along with the arrival of the 4th Industrial Revolution. Theoretical models are mainly based on the technology acceptance model (TAM) or Extended Unified Theory of Acceptance and Use of Technology : UTAUT2). However, there are no trust variables in these models. In this study, we added trust variable and tested augmented reality(AR). Three types - trust as an independent variable, as a mediating variable, and as a moderating variable - were analyzed statistically. As a result, trust was most explanatory when viewed as a mediating variable between independent variables and intention to use. In theory, it has been shown that trust acts as a mediating effect. In practice, trust is most important in accepting new technologies, so it is important to prioritize trust.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.43-51
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• 2022

Platform lending or online lending, sometimes called peer-to-peer (P2P) lending, arose due to the digital revolution to meet people's requirements for simple fund borrowing. It quickly became an alternative to other traditional lending techniques, for example, loans banks. Along with the growth of P2P lending, several academics have investigated how information technology is used in financial services, emphasizing extended application methods. This study proposes an enhanced technology acceptance model (TAM) that investigates how consumers embrace P2P lending platforms by using quality of service and perceived risk as drivers of trust, relative advantage and compatibility as drivers of perceived usefulness. For the purpose of this study, we created a questionnaire, distributed it to clients of P2P lending platforms and fintech services in general in cities in Java, Indonesia. We received 290 replies to our questionnaire. The data was analyzed to test the hypotheses using structural equation modeling (SEM). The findings show that consumers' trust, relative advantage, perceived usefulness, and perceived ease of use in P2P lending platforms substantially affect their views toward adoption. The research's findings are useful for fine-tuning platform marketing strategies and putting strategic goals into action.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.147-155
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• 2014

Social commerce is a combination of social media and shopping. Social commerce, based on Web 2.0 technologies, has the various potentials, which is the factor attracting customers. In Korea, collegians are more active user of social media, in turn, are estimated more active customer in social commerce context. Present research explored what made Korean collegians use social commerce with extending technology acceptance model(TAM) with word-of-mouth(WOM) and perceived enjoyment(PE). We found that WOM affected indirectly the intention to use(ITU) with mediating PE, in turn, PE has a positive effect on the all of constructs in TAM. Accordingly, TAM extended with WOM and PE is validated in social commerce context. Finally, based on the findings, implications and suggestions for future studies are discussed.

• Korea Journal of Hospital Management
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• v.26 no.4
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• pp.12-28
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• 2021

Purposes: The convenience of smartphones have lead to people's overdependence on devices, which may cause obstacles in daily life. It is useful to manage smartphone overdependence by using mobile health applications. We aimed to investigate the acceptance of mobile health applications designed to help in the management of smartphone overdependence. Methodology/Approach: We developed the extended model based on the Unified Theory of Acceptance and Use of Technology 2. The modified model had six hypotheses with six variables: result demonstrability, performance expectancy, effort expectancy, social influence, perceived risk, and behavioral intention to use. We randomly included 425 smartphone users in an online survey in 2020. A structural equation model was used to estimate the significance of the path coefficients. Findings: Performance expectancy and social influence had a very strong direct positive association with behavioral intention to use. Result demonstrability had a direct positive association with performance expectancy. Perceived risk had a strong direct negative association with performance expectancy. Performance expectancy and social influence were the main factors directly influencing the acceptance of mobile health applications for the management of smartphone overdependence. Practical Implications: We demonstrated smartphone users' acceptance of mobile health applications for smartphone overdependence management. Based on these results, we could develop mobile health applications more effectively.

• The Journal of Society for e-Business Studies
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• v.25 no.1
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• pp.135-176
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• 2020

This study is to investigate the factors affecting the usage intentions of 5G service between 5G service subscribers and non-subscribers based on the Integratively Extended Technology Acceptance Model in the initial B2C 5G service market. We designed the integratively extended technology acceptance model to find the more specific factors to affect the usage intentions by integrating the exogenous factors including the technical factors, the social factors, and the personal factors with the ETAM(Extended Technology Acceptance Model). Referring to the previous studies, we constructed the hypotheses of structural influence relationship from the exogenous factors to the dependent usage intentions factors through the mediating belief factors. We designed the 5G service usage intentions model based on these hypotheses and operational definitions of the factors. Using the analysis of SEM(Structural Equation Model), the proposed model and the hypotheses were empirically tested by the data collected from 245 subscribed respondents and 245 non-subscribed respondents. As a result, the perceived ease of use has an effect on the perceived usefulness and enjoyment, and the perceived usefulness/enjoyment and the personal innovativeness have positive effects on the usage intentions of both groups.

• The Research Journal of the Costume Culture
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• v.20 no.4
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• pp.573-593
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• 2012

The purpose of this study was to investigate consumers' buying intention toward fashion goods through global internet shopping malls. This research employed Technology Acceptance Model (TAM) as a theoretical framework and was extended to introduce fashion innovativeness, clothing involvement, consumers' needs for uniqueness, computer self-efficacy as external factors. A total of 381 copies of questionnaires were collected online. The subjects of this study were women. The collected date were analysed by factor analysis, Cronbach's alpha, correlation and path analysis. The results indicated that fashion innovativeness, clothing involvement and consumers' needs for uniqueness had a significant positive affect on perceived usefulness. Consumers' needs for uniqueness and computer self-efficacy had a significant positive affect on perceived ease of use. Perceived usefulness and perceived ease of use were found to influence buying intention toward fashion goods through global internet shopping malls. The results of this study also suggested that perceived ease of use was actually a causal antecedent to perceived usefulness. This study reveled that employing TAM to investigate the buying intention toward fashion goods through global internet shopping malls was appropriate. This study also provides empirical analysis that can serve as a guide for marketers of the fashion industry in activating global internet shopping malls.