• Journal of the Korea Safety Management & Science
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• v.26 no.1
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• pp.1-8
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• 2024

This study explores the impact of technostress on the intention to use telemedicine applications (apps) in the post-COVID19 era, a period marked by the rapid popularization of such apps to mitigate COVID19 infection risks. Utilizing the Technology Acceptance Model (TAM), the study identifies variables and proposes a research model. A questionnaire survey involving 364 adults is analyzed through Partial Least Squares-Structural Equation Modeling. Results indicate positive significance for variables linked to the TAM (perceived usefulness, perceived ease of use, attitude, and intention to use). Notably, techno-complexity negatively affects perceived ease of use, while techno-unreliability negatively impacts perceived usefulness and ease of use. Surprisingly, techno-uncertainty has a positive effect on both perceived usefulness and ease of use. Techno-overload, although negatively impacting perceived usefulness and ease of use, does not reach statistical significance. The study underscores the need to consider both positive and negative aspects, including technostress, when evaluating telemedicine app usage. Additionally, recognizing the varying impact of technostress based on users' ICT(Information and Communication Technology) confidence levels is crucial. Overall, these findings contribute academically to telemedicine app adoption literature and hold industrial significance by providing a user perspective on these apps.

• The Journal of Information Systems
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• v.19 no.3
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• pp.209-236
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• 2010

Recently, utilization of mobile Internet services is rapidly increasing. To properly accelerate the vitalization of mobile Internet usage, we have to know exactly about the factors affecting potential users' value recognition and intention to use. Technology acceptance model (TAM) is one of the most powerful reference framework for the individual user's adoption of IT innovations. This research borrowed core concept of TAM, and tried to explain users' intention to use mobile Internet by understanding the direct and indirect effects of subjective norm and perceived usefulness. To increase the explanatory power of the model, this paper introduced personal innovativeness as a key moderator variable. The research findings include; i) subjective norm has strong positive influence on perceived usefulness and intention to use, ii) perceived usefulness has positive influence on intention to use, iii) the influence of subject norm is greater than that of perceived usefulness, iv) positive influence of subjective norm on the perceived usefulness and intention to use are significantly stronger in the case of low personal innovativeness sub-group than the case of high personal innovativeness sub-group, and v) high personal innovativeness sub-group have shown strongly positive influence of perceived usefulness on the intention to use while there is no such significant relationship in the case of low personal innovativeness sub-group. Based on these findings, this paper proposed several guidelines to increase the adoption and the usage of mobile Internet; i) word-of-mouth is extremely important, ii) to form a good word-of-mouth, it will be very important to make early adopters and heavy users have positive direct experiences of using mobile Internet.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.197-205
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• 2020

The present study analyzed the effector that has an influence on continuance intention to use YouTube that is a prime platform to distribute visual contents. Whether the dispersion of information communication technology succeeds or not is determined by a more extent which user uses active and continued than adopts fast. From this point of view, we employed partial least square(PLS) path modeling to analyze structural causality among constructs in the post-adoption model(PAM). As a result, all paths given in PAM except for the path 'confirmation-satisfaction' were validated. Especially, confirmation mediated with satisfaction than perceived usefulness has a more effect on continuance intention. Finally, we described the limitation of the present study and the suggestion for future research.

• Journal of Technology Innovation
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• v.27 no.4
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• pp.111-144
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• 2019

As virtual assistants rapidly diffused into the market, the voice shopping market is expected to expand. The purpose of this study is to identify the factors that determine the consumers' intention to adopt voice shopping by using the unified theory of acceptance and use of technology(UTAUT). In this study, we set variables that influence the intention to adoption of voice shopping with performance expectation and effort expectations as the variables of UTAUT and playfulness expectations as an extended variable. In addition, we also include four voice secretary attributes such as response accuracy, compatibility, social presence, and safety in our research model to investigate the source of motivation of voice shopping adoption. The result of this analysis shows that variables such as performance expectation, effort expectation, and amusement expectation have a positive effect on the intention to adoption of voice shopping. With respect to the four voice shopping attributes, compatibility had a positive effect on performance expectancy, effort expectancy, and playfulness expectancy. Social presence has a positive effect on playfulness expectancy. Safety has a positive effect on effort expectancy and playfulness expectancy. On the other hand, response accuracy is not significant for performance expectancy, effort expectancy, and playfulness expectancy. This study reveals the determinants of intention to adopt the new purchasing method called voice shopping, and suggests the important factors for the innovation of commerce business.

• Journal of Information Technology Applications and Management
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• v.20 no.1
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• pp.67-85
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• 2013

The emergence of RFID markets and development of various RFID-embedded mobile devices has brought fundamental changes to our lives. As the availability of RFID readers and tags that are implanted in smart phones and table PCs increases, information on RFID-affixed objects can be tracked wirelessly and this had open possibilities for B2B businesses to be run like B2C businesses. However, given the popularity of the RFID markets, there is limited research in this area. This paper serves to develop an extended technology acceptance model by Mobile RFID characteristics (perceived cost, security, instant connectivity, context awareness, and result demonstrability) examines the determinant factors that cause the acceptance of mobile RFID. To do so, the study conducted a survey targeting smart phone users and used the PLS path modeling, one of the structural equation models to verify the significance of research hypothesis. As a result, perceived cost, instant connectivity, context awareness, and result demonstrability turned out to have a real effect on intention to use mobile RFID by means of perceived usefulness and perceived ease of use. Security turned out to have a partial effect on intention to use mobile RFID by means of perceived usefulness or perceived ease of Use.

• Journal of Preventive Medicine and Public Health
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• v.30 no.1 s.56
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• pp.195-207
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• 1997

High price equipment is one of the major factors that increases national health expenditure in developed countries. Computerized Tomography(CT), one of the important high price equipment, has been concerns of health service researchers and policy makers in many countries. In Korea, CT, first introduced in 1984, have spreaded nationwide with rapid speed. Though the Committee for Approving Import of High Price Medical Equipment, founded in 1981, tried to regulate the introduction of high price medical equipment including CT, the effort resulted in failure. The exact situation of diffusion of the high price equipment, however, was not yet investigated. We aimed at the description of the diffusion of CT in Korea and analysis of influencing factors on hospitals for the adoption of CT. We mainly used the database of CT, made in 1996 by the National Federation of Medical Insurance for the purpose of insurance payment for CT. Also characteristics of hospitals were gathered from yearbooks published by the central and local governments and by the Korean Hospital Association. We calculated the cumulative number of the CT per one million population year by year. In turn, multiple linear logistic regression was done to find out the contributing factors for the adoption of CT by each hospital. In the logistic regression model, it is regarded as dependent factor whether a hospital retained CT or not in 1988 and 1993. The major categories of the independent factors were hospital characteristics, environmental factors and competitive conditions of hospitals at the period of the adoption. The results are as follows: Number of CT scanners per one million persons in Korea marked more higher level compared with those of most OECD countries. Major influencing factors on the adoption of CT scanners were hospital characteristics, such as hospital referral level, and competitive condition of hospitals, such as number of CT scanners per 10,000 persons in each district where the hospital was located. In Korea, CT diffused with rather rapid speed, comparable with those of the United States and Japan. The major factors contributing on the adoption of CT for hospitals were competitive condition and hospital characteristics rather than regional health care need for CT. In conclusion, a kind of regulating mechanism would be necessary for the prevention of the indiscreet adoption and inefficient use of high price equipment including CT.

• Journal of information and communication convergence engineering
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• v.22 no.1
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• pp.23-32
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• 2024

This study aims to improve the quality of distance learning by developing webcast-based e-learning media and integrating it into an e-learning platform for functional job training purposes at the National Research and Innovation Agency, Indonesia. This study uses a Technology Acceptance Model (TAM) to assess and predict user perceptions of information systems using webcast platforms as an alternative to conventional applications. The research method was an online survey using Google Forms. Data collected from 136 respondents involved in practical job training were analyzed using structural equation modeling to test the technology acceptance model. The results showed that the proposed model effectively explained the variables associated with the adoption of web-based e-learning during the COVID-19 pandemic in Indonesia for participants engaged in functional job training. These findings suggest that users' perceptions of ease of use, usefulness, benefits, attitudes, intentions, and webcast usage significantly contribute to the acceptance and use of a more effective and efficient webcast-based e-learning platform.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.481-489
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• 2020

The study examines the role of facilitating conditions and user habits in the use of technology in Online Learning Platform (OLP) in Indonesia. The adoption of online learning, persistence, and learning results in online platforms is essential for ensuring that education technology is implemented and gets as much value as possible. People who use technology and systems will embrace new technologies even more. This quantitative study is based on a survey of 254 respondents, who were active users of the technology, and considers the facilitating conditions and user habits variables. Two research hypotheses were tested using the Partial Least Square-Structural Equation Modeling method. Cronbach's Alpha, path coefficient, AVE, R-square, T-test were applied. The results showed that the factors significantly influence the Online Learning Platform technology behavioral intention. This impact is primarily associated with the availability of the resources required to use OLP technology. The availability of these resources includes supporting infrastructures such as widespread Internet access, easy access to mobile devices, and file sizes that affect access speed. The findings of this study suggest that it is necessary to introduce and increase the availability of resources for using OLP technology, and familiarize people with the technology features.

• Journal of Information Technology Services
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• v.12 no.2
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• pp.185-193
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• 2013

This paper analyzes the effects of i-PIN focusing on the positive value creation rather than the negative loss reduction from the viewpoint of internet company. Empirical tests are run to examine what determines the use of i-PIN and whether i-PIN users participate in e-commerce, communication, and SNS activity. Our findings are as follows. First, the reason for using i-PIN lies in the experience of privacy infringement rather than a high value on privacy protection. Second, i-PIN users tend to participate in the online activity such as e-commerce, communication, SNS. Third, the marginal effect of i-PIN adoption amounts to 2~9% of increase in the online activity. With the results, we expect that i-PIN adoption leads to sales increase and new customer acquisition as well as privacy leakage decrease and it provides logic to solve social underinvestment problem in privacy protection.

• Journal of Information Technology Applications and Management
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• v.20 no.1
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• pp.149-171
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• 2013

The purpose of this study is to investigate factors influencing Chinese consumers' intention to adopt Smartphones. This paper examines Smartphone characteristics factors (situational dependence, diversity and security) and consumer personality characteristics (innovation, self-efficacy and familarity) based on the Technology Acceptance Model. The 320 sets of data are tested against the model using SEM (structural equation model). The research results reveal that diversity and security have significant influences on both perceived usefulness and perceived playfulness. According to the data analysis, self-efficacy affects only perceived easy of use, and familiarity positively affects perceived easy of use, usefulness and playfulness. This study finds that perceived easy of use and perceived usefulness have positive influences on behavioral intention to adopt Smartphones, and situational dependence and innovation directly affect the behavioral intention. The perceived cost has a negative impact on the behavioral intention. Research results are discussed, and limitations of the current study and future research are presented.