• Journal of Digital Convergence
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• v.18 no.3
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• pp.139-147
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• 2020

In the fourth revolution resulting from ICT convergence, Blockchain-based platform is being applied to various fields. This trend is expected to become stronger in the future. This study aims to explore several factors pertaining to user acceptance of Blockchain-based financial platform. It is important for finance business managers and blockchain technical managers to verify the user's willingness to accept the blockchain. In this study, the factors determining the acceptance of blockchain-based platform we explore are innovation, convenience, security and preference. Based on the results of the survey, 465 users(male 262, female 212) completed the questionnaire, a structural equation analysis was used in order to analyze the blockchain's users acceptance framework. Through the results we were able to identify and validate the differences in innovation and convenience by gender as well as the factors determining the acceptance of blockchain-based financial platform.

• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.107-124
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• 2021

This study is a study on the innovation resistance that may arise in connection with the introduction and use of smart factory-related technologies by SMEs. It is to study the effect of the leading factors of innovation resistance on innovation resistance and the effect of innovation resistance on use intention by using the extended innovation resistance model. A total of 176 survey data were used for the study, and the study was conducted using SPSS 25 and Smart PLS 2.0. Relative advantage, suitability, perceived risk, social impact, and organizational characteristics have a significant effect on innovation resistance, and innovation resistance was tested to have a significant effect on the intention to use. As an implication according to the research, a plan to improve the level of introduction and use of smart factories using the expanded innovative storage model was presented by dividing positive and negative factors, and factors that should be improved and factors that should be reduced are presented. It was specifically presented.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.99-107
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• 2020

The new characteristic of Millennial High-Tech Media is breaking the existing standardized creative grammar. The destructive form of high-tech media is differently accommodated according to the consumer's tendency or characteristics. The purpose of this study is to explore guidelines for effective creative strategy creation of high-tech media. In consumer psychology, consumer innovation is a key factor in evaluating the creativeness of high-tech media. The results of finding out the effect of persuasive communication on consumer innovation and advertising creative type are as follows. Informative(image) creative type showed higher attitude toward advertisement, brand attitude, purchase intention, and prior intention to consumers with high innovation than consumers with low innovation.

• The Journal of the Korea Contents Association
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• v.18 no.5
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• pp.215-229
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• 2018

The purpose of this study was to examine the structural relationships among factors affecting teachers' robot-based SW education acceptance in primary school. In addition, this study investigated moderating effects of gender, age, and experience. For this purpose, 171 elementary school teachers participated in this study and structural equation modeling analyses were employed to examine the causal relationships among variables. The result of this study showed that perceived ease of use, perceived usefulness, personal innovativeness had direct effects on attitude. Furthermore, attitude mediated relationships between perceived usefulness, perceived ease of use, personal innovativeness and intention to use. Third, the moderating effects of experience between perceived usefulness, personal innovativeness and attitude were significant, but gender and age were not significant on all paths. Based on the results of this study, successful teaching practices, cases, and contents should be shared with teachers. Also, continuous supports and differentiated strategies based on experience are needed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.873-878
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• 2020

Due to the recent development of 3D printers, interest in 3D printing is growing. 3D printing should reflect individual needs and various requirements by designing products to suit the user's requirements. Research on how to use 3D printed products for the purpose of purchasing products according to user's demand characteristics is insufficient. Therefore, this study conducted a survey and statistical analysis to find out the factors influencing the intention of purchasing custom controller products in 3D printing environments. Research has confirmed that user innovation and convenience safety are important factors for the satisfaction and purchase intent of personal-tailored controller products. Considering user innovation, convenience, and safety when producing controller products using 3D printing, it is expected that value of custom controller manufacturing can be increased. Research is needed on the personalized product development framework that successfully introduces and systematically supports the production methods of personalized products in the early stages.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.431-438
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• 2022

With the technical development of fourth industrial revolution, VR game market is rapidly expanding. Meanwhile, heavy user group means the group consisting of people consuming certain media or contents more than others, which is the core constituency of the media industry, and there have been only a few studies on them. This study identified the factors that influenced the continuous intention of use of VR game heavy users and figured out their characteristics by verifying the difference in variables with the light user group. According to the results, the heavy user group showed higher behaviors than the light user group in terms of personal innovation, presence, and continuous intention of use variables. In addition to this, it was found that personal innovation, perceived quality, and presence had a significant influence on the continuous intention of use. This study is intended to empirically analyze the characteristics of heavy VR game users and influential factors, thereby preparing baseline data for VR game development and other relevant studies.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.169-180
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• 2022

As people spend more time indoors due to the COVID-19 pandemic situation, content consumption is increasing, leading to the rapid demand for Over The Top(OTT) services. Thus, this study attempted to verify impacts of OTT traits on the value, satisfaction, and continuous use intention perceived by users. Through the survey, 437 responses were collected, and analysis was conducted using AMOS 26.0. Results found that the traits of OTT service had a positive effect on perceived value that had a positive effect on user satisfaction and continuous use intention. User satisfaction was also found to have a positive effect on the intention to continue using OTT services. Moreover, hedonic innovation moderated the relationships between OTT traits and perceived value with exception of ubiquity. The findings provide valuable information for OTT service providers in understading users' behaviors.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.649-659
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• 2023

Smart work, which utilizes ICT technology to work without time and space constraints, has been difficult to introduce and spread despite a lot of research and investment based on the 'smart work vitalization strategy' that began in 2010. Although the environment of COVID-19 in 2019 was an opportunity to promote the adoption of smart work. After that, many companies ended or reduced the adoption of smart work again. This study was initiated to examine the factors that resist the introduction of smart work based on the innovation resistance model and to suggest alternatives. As a result of this study, relative advantage showed a strong effect on both introduction resistance and introduction intention. However, it was confirmed that perceived risk and complexity did not directly negatively affect introduction intentions, but had a negative effect on introduction intentions through mediating resistance to introduction. Through the results of this study, it was confirmed that if the practical benefits of smart work were emphasized and negative attitudes were reduced, the resistance to introduction would be lowered and the intention to introduce it would be positively affected.

• Journal of Industrial Convergence
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• v.22 no.1
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• pp.117-125
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• 2024

The purpose of this study is to investigate the impact of airline customers' technology readiness on TBSS quality and intention to use. Data were collected from 153 outbound customers waiting for kiosk self-check-in and self-bag drop. For data analysis, CFA and correlation analysis were conducted to test reliability and validity, and the hypothesis was tested using SEM. The results are as follows. Among the technology readiness factors, optimism and innovativeness were found to have a significant positive effect on TBSS quality. Discomfort was found to have no effect on TBSS quality, and insecurity was found to have a significant negative effect on TBSS quality. Second, TBSS quality was found to have a significant positive effect on intention to use. Third, optimism and innovativeness were found to have a significant positive effect on intention to use, while discomfort and insecurity had no effect. Therefore, optimism and innovativeness are important to improve TBSS quality and intention to use.

• Information Systems Review
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• v.26 no.1
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• pp.119-149
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• 2024

This study investigates the antecedents and mechanisms influencing trust and behavioral intentions formation towards new AI chatbots, such as ChatGPT, as travel information searching services. Analyzing the roles of variables such as familiarity, novelty, personal innovativeness, information quality and perceived anthropomorphism, the research elucidates the impact of these factors on users' cognitive and affective trust, ultimately affecting their intention to adopt information and sustain the use of the AI chatbot. Results indicate that perceived familiarity and information quality positively influence both cognitive and affective trust, whereas perceived novelty contributes positively only to cognitive trust. Additionally, the personal innovativeness of new AI chatbot users was found to weaken the effect of familiarity on perceived trust, while the perceived level of anthropomorphism of the chatbot amplified the effects of novelty and familiarity on cognitive trust. These findings underscore the importance of considering factors such as familiarity, personal innovativeness, information quality and anthropomorphism in the design and implementation of AI chatbots, affecting trust and behavioral intention.