• Knowledge Management Research
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• v.23 no.4
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• pp.251-273
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• 2022

Metaverse is one of the most frequently used words recently, with digitalization accelerated by the COVID-19 pandemic that started in 2019 and the development of information and communication technology. It is expected to bring a new revolution in our life as a whole in user experience. In particular, as telecommuting was adopted in the business area, interest in virtual office services such as digital video conferencing and remote offices, which are similar to the metaverse, has also increased. In this study, a study on the intention to use the metaverse service used in the work environment was applied to the Unified Theory of Acceptance and Use of Technology 2(UTAUT2). External variables for metaverse characteristics, such as self-presentation, telepresence, and technostress, were analyzed and discussed. In this study, PC-based Gather.town and VR-based Facebook Horizon, currently the most well-known and considered usable in work environments, were introduced to potential users and conducted a survey. This study has academic implications in that the research has examined the factors that affect the technology acceptance intention of users who want to apply the metaverse as a work environment based on the UTAUT2 model, unlike previous studies that have been mainly researched on the general metaverse. In practice, it may be helpful to suggest factors that should be considered when firms adopt the metaverse for business purposes.

• Proceedings of the Korea Database Society Conference
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• 2010.06a
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• pp.309-318
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• 2010

Nowadays, more and more organizations are implementing the USE' of emerging enterprise 2.0 applications consciously or unconsciously such as Blogs, Wikis, Social Networks, etc. However, as the end users, employee's attitude toward adoption of enterprise 2.0 applications still lacks theoretical support. On the other hand, many organizations which have implemented enterprise2.0 applications are confused about how to promote employees' use of enterprise 2.0 applications. The purpose of this study aims to provide a conceptual examination the determinants that affect employee's adoption of these enterprise2.0 applications using the revised UTAUT model. To test the model, structural equation modeling will be employed to analyze data collected from two organizations in which experimental tests of enterprise social network platforms are conducted. The findings of this research will show effective and reasonable ways of promoting employees' participations in an enterprise 2.0 environment so as to maximize the benefits generated from implementing enterprise 2.0 applications. This research will also provide a theoretical foundation for academics and practical implications for development of enterprise 2.0 applications.

• Journal of the Korean Operations Research and Management Science Society
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• v.37 no.4
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• pp.225-238
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• 2012

The purpose of this study is to examine the factors influencing usage intention of u-Healthcare with voluntariness in long-term care hospitals. This model tests various theoretical research hypotheses relating to u-Healthcare, UTAUT theory and voluntariness. The proposed model is analyzed to target long-term care hospitals. Questionnaires have been collected during two months of 2010 and total 142 has been considered to be valid. Smart PLS (partial least square) 2.0 and SPSS 15.0 have been utilized for deriving the study results. The results of hypothesis testing are as follows. First, performance expectance, effort expectancy and social influence positively influence usage intention. Second, facilitation not influence usage intention. Still due to lack of technical infrastructure to promote conditions of use u-Healthcare in long-care hospitals for u-Healthcare system also considered to be not significantly affected. Finally, performance expectance to usage intention for low voluntariness group is significantly larger than those for high voluntariness group. In addition, social influence to usage intention for high voluntarines group is significantly larger than those for low voluntariness group.

• Journal of Information Technology Services
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• v.16 no.2
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• pp.1-20
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• 2017

A bitcoin-based technology named blockchain is garnering attention in various industries as a cost-effective measure in strengthening security and a reliable technology medium. Blockchain technology will play a critical role in the Fourth Industrial Revolution, and IT technology is expected to bring fundamental changes. This study focuses on the characteristics of blockchain technology and the effects of the intention to accept its technology in an empirical manner. The aspects of the technology are organized by researching blockchain technology and theories of technology acceptability and previous studies were used as guidelines to create the research model and propose the hypothesis. The research model is based on UTAUT with a set-up of 5 factors for performance expectancy and effort expectancy. For empirical analysis, a survey was conducted on 283 IT workers in Korea, To examine the hypothesis structural equation modeling was used performance expectancy was influenced by security, reliability, diversity, and economic efficiency while effort expectancy was influenced by reliability and economic efficiency. Performance expectancy, social influence, facilitating conditions affect the intention to accept. Innovativeness of an organization and control effects are influenced as well. The present study aims to provide practical guidance as supplementary research in utilizing blockchain technology, and the limitations of the study and future research possibilities are discussed as well.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.295-302
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• 2020

The study examines an empirical case that explores the key constructs of the Unified Theory of Acceptance and Use of Technology (UTAUT) (Venkatesh, Morris, Davis & Davis, 2003) and the relationship between security and privacy of the Theory of Perceived Risk (TPR) (Bauer, 1960). This study employs survey data of 200 young Internet users aged 18 to 25. The study was conducted through two steps: preliminary research by qualitative research method to form the official research scale then formal research by quantitative research method using CFA and SEM to test the research model. The research results show that performance expectancy and social influence significantly predict behavioral intention to use e-wallets in payment. In contrast, the factors, namely, security and privacy, and effort expectancy, are statistically insignificant on behavioral intention. Nevertheless, the facilitating conditions factor still affects the behavior of using e-wallets. The study proposes a model to generalize the online payment environment through the integration of UTAUT and TPR models that are important for online payment management and researchers in the technology environment. The findings of this study suggest that social influence significantly affects the intention of young people to use e-wallets instead of security and privacy.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.222-230
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• 2021

Mobile wallets have been in continuous demand and developed over the past few years, especially during the COVID-19 pandemic. Several studies have examined user intentions and perspectives. This study develops a conceptual model combining behavioral factors with the technology acceptance model (TAM). The goal is to identify key factors that influence user's intention to adopt mobile payments. This study uses the TAM and the unified theory of acceptance and use of technology (UTAUT) models with additional factors. The additional factors are security, trust, facilitating conditions, and lifestyle compatibility. The study analyzes the results of a survey of 394 Saudi citizens conducted via an online survey. The results indicate that user attitudes and intentions are positively influenced by all of the factors. Perceived usefulness, perceived ease of use, lifestyle compatibility, and facilitating conditions are direct predictors of user behavior in accepting mobile wallet payments. This study provides an empirical contribution to the literature on mobile payment acceptance on the effect of perceived usefulness and lifestyle compatibility. The results demonstrate that about 26% of the respondents started using mobile wallet services because of the COVID-19 pandemic.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.637-645
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• 2021

Mobile devices have become attractive learning devices for education. The digitalization of the higher education system in Sri Lanka by 2020 is part of the government's effort to modernize and enhance the country's overall education system particularly in view of the COVID-19 pandemic. Theoretically, this study contributes to the M-Learning model in higher education institutions via the integration of literature on technology adoption (TAM and UTAUT) with the variables of Perceived Usefulness, Perceived Ease of Use, Attitude, Effort Expectancy, Social Influence, and Facilitating Condition. The attitude towards M-Learning amongst higher education students was gauged via an online questionnaire survey. The convenience sample comprised 344 students from the Advanced Technological Institutes (ATI) in Batticaloa District, Sri Lanka. Descriptive statistics, a measurement, and structural model, and hypotheses testing were used to analyze the derived data. The findings indicate that mobile learning is significantly affected by perceived ease of use, social influence, effort expectancy, and facilitating condition, but negatively affected by attitude and perceived usefulness. The exhaustive literature review revealed that there are very few M-Learning studies related to digital learning in the context of higher education in the Batticaloa district.

• Asia pacific journal of information systems
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• v.31 no.1
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• pp.76-101
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• 2021

Digitalization and digital transformations have metamorphized the face of Financial Inclusion globally, more so, in cash obsessed economies like India. The purpose of our study is to empirically analyze the users' intention to adopt digital payment systems, post Demonetisation, during the COVID-19 pandemic in India. The conceptual framework for the study is based on the Unified Theory of Acceptance and Use of Technology (UTAUT) adoption model with added operationalized constructs of Perceived Risk and Stickiness to use Cash. A total of 326 respondents were surveyed using a pre-tested questionnaire during the Nationwide Lockdown 3.0 in India. These responses were analyzed using Partial Least Squares - Structural Equation Modelling (PLS-SEM) technique. The findings of the study revealed that performance expectancy and facilitating conditions directly influence the intention of individuals to use digital payment systems, whereas the effect of perceived ease of use on digital payment systems is mediated through the attitude towards the digital payment systems during COVID-19 pandemic situation. Implications of the proposed adoption model are discussed. This will enable the other developing economies to formulate a digital ecosystem, that is here to stay even after the pandemic.

• 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.