• Journal of Korea Society of Industrial Information Systems
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• v.17 no.7
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• pp.177-186
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• 2012

Social Network Service is a web-based service that allows the people to construct relationship among users with same interest and supports various activities such as managing personal relations and sharing information or contents. The objective of this study is analysing the influence of the innovativeness on the use intention in SNS based on the UTAUT model. This study establishes a theoretical model that includes four independent variables(performance expectancy, effort expendancy, social influence, innovativeness) and two moderating variables(gender and innovativeness). The empirical results obtained in a sample of 403 university students are followings; 1) The use intention is positively influenced by the performance expectancy, effort expendancy, social influence and innovativeness. The effort expectancy is the strongest predictor of the use intention 2) The gender has a moderating effect whileas the innovativeness has no moderating effect. For men, the stronger the effect of performance expectancy on the use intention and for women, the stronger the effect of social influence on the use intention.

• Journal of The Korean Association of Information Education
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• v.18 no.4
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• pp.509-520
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• 2014

This study investigated the structural relationships among factors on intention to use mobile learning and suggests practical strategies to enhance learners' behavior intention in secondary school. In this study, we hypothesized that mobile computing self-efficacy, personal innovativeness, and social influence had positive effects on perceived usefulness and perceived ease of use, which ultimately had positive effects on intention to use mobile learning. In order to examine structural relationship among variables, we surveyed 289 high school students in spring semester of 2014. After collecting data, we examined causal relationship among variables using Structural Equation Modeling. The results of this study are as follows: First, mobile computing self-efficacy and personal innovativeness significantly affected perceived ease of use. Second, mobile computing self-efficacy, social influence, and perceived ease of use significantly affected perceived usefulness. Lastly, perceived usefulness and perceived ease of use significantly affected intention to use mobile learning of high school students.

• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.477-490
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• 2014

The purpose of this study is to investigate factors influencing continuous usage intention of mobile learning and suggest practical strategies to enhance learners' continuous usage intention of mobile learning. In this study, we hypothesized that system quality, information quality, service quality and personal innovativeness have a positive effect on effort expectancy and performance expectancy, which ultimately have a positive effect on continuous usage intention. In order to examine structural relationship among variables, we surveyed 279 students who took courses at W Cyber University in 2013 fall semester. After collecting data, we examined causal relationship among variables using Structural Equation Modeling. The results of this study are as follows: First, system quality and personal innovativeness significantly affect effort expectancy. Second, information quality, service quality and personal innovativeness significantly affect performance expectancy. Last of all, effort expectancy and performance expectancy significantly affect continuous usage intention of mobile learning.

• 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 Korea Technology Innovation Society
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• v.21 no.2
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• pp.684-714
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• 2018

Contrary to predictions, the market diffusion of smartwatch is proceeding slowly. Smartwatch companies should pursue new strategies to overcome this so-called chasm; however, little is known about smartwatch attributes valuable for target consumers. This study investigates beneficial and sacrificial features influencing overall perceived value of smartwatch, which in turn affects usage intention, and considers moderating effect of personal innovativeness. A total of 323 usable data were analysed using partial least squares. The results show that two benefits (utilitarian and hedonic) and three sacrifices (usability, performance, and finance) significantly impact on usage intention via perceived value. A significant effect of personal innovativeness as a moderator is also observed. Interestingly, the influence of social benefits on perceived value is not supported, which means strengthening image improvement strategies might not be appropriate for the diffusion. In order to overcome the chasm, suitable strategies should be used, and focusing on consumers who are highly innovative are strongly recommended.

• Journal of Industrial Convergence
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• v.16 no.3
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• pp.33-40
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• 2018

Near Field Communication has been emerged as a spectacular phenomenon. The aim of this study is to determine the factors influencing the adoption of NFC-enabled mobile payment. In order to analyze, this study proposes a research framework based on Technology Acceptance Model. 353 valid data were collected through the Internet who has used NFC technology. Results show that relative advantage, social influence, and technology availability have a significant effect on perceived usefulness ($0.190{\ast}{\ast}{\ast}$, $0.211{\ast}{\ast}{\ast}$, $0.227{\ast}{\ast}{\ast}$respectively). However, for perceived ease of use, only relative advantage and social influence were verified to have significant influence. Perceived ease of use significantly influence perceived usefulness ($0.348{\ast}{\ast}{\ast}$), and both of them significantly affect the NFC-payment adoption intention ($0.199{\ast}{\ast}$, $0.361{\ast}{\ast}{\ast}$). The results also verified the moderator variable of personal innovativeness ($0.20{\ast}{\ast}{\ast}$ and $0.297{\ast}{\ast}{\ast}$respectively).

• Asia-Pacific Journal of Business
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• v.13 no.3
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• pp.433-448
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• 2022

Purpose - The purpose of this study is to empirically analyze users' continuous use intentions using the characteristics of live commerce in China. Design/methodology/approach - Social presence, influence of information source (Wang Hong), convenience, marketability, reliability, personal innovativeness, and social influence were selected as elements that affect the perceived value of users, and an assumption that perceived value would affect continuous use intention was set. 515 samples were obtained from Chinese consumers through a Chinese online questionaire survey. IBM SPSS 26 and AMOS was used for statistical testing. Findings - First, social presence, Wang Hong, convenience, marketability, and reliability, which are the quality characteristics of live commerce services, affect the perceived value of users and user's continuous use intention. Second, the perceived value of users plays a mediating role between the quality characteristics of live commerce service and the continuous use intention. Third, personal innovativeness plays a moderating role in the effect of live commerce service quality on the perceived value of e-commerce users. Fourth, among the relative effects of the service quality characteristic variables, the relative effect of reliability is the greatest followed by that of convenience, marketability, and Wang Hong, in order of precedence, and the effect of social presence is the smallest. Research implications or Originality - South Korean government's plan to support for advancing into live commerce in China were presented as strategic implications for exporting South Korean products to China through online services including live commerce.

• Journal of Korean Society for Quality Management
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• v.50 no.1
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• pp.43-61
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• 2022

Purpose: The purpose of this study was verifying factors that affect to intention to use AI financial services and finding a way of building an user oriented AI ecology. Methods: This study used the UTAUT (Unified Theory of Acceptance and Use of Technology) model with independent variables such as performance expectancy, effort expectancy, social influence, facilitating conditions, trust, personal innovativeness and AI understanding as moderating variable. The data was collected through online & offline survey with questionnaire from 330 financial customers. Results: As a result, the analysis suggested that the performance expectancy, social influence, facilitating conditions, personal innovativeness are statistically significant to the intention to use AI. It was also found that AI knowledge of users differently influence the intention to use through the moderating effect on the facilitating conditions. Conclusion: Performance expectancy, social influence, facilitating conditions, personal innovativeness have positive causation to the intention to use in AI financial service. On the facilitating conditions, unlike other variables, it was found that the user's intention to use was different by the level of AI understanding. It means that customers could have the strong intention to use AI even though they don't have enough pieces of knowledge on the factors. Customers seem to be of recognition that the technology has certain benefits for themselves. The facilitating factors are significantly affected by AI understanding and differently effect on the intention to use AI.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.53-71
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• 2024

Generative Artificial Intelligence (AI) has become the focus of societal attention due to its wide range of applications and profound impact. This paper constructs a comprehensive theoretical model based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), integrating variables such as Personal Innovativeness and Perceived Risk to study the key factors influencing enterprises' adoption of Generative AI. We employed Structural Equation Modeling (SEM) to verify the hypothesized paths and used the Bootstrapping method to test the mediating effect of Behavioral Intention. Additionally, we explored the moderating effect of Perceived Risk through Hierarchical Regression Analysis. The results indicate that Performance Expectancy, Effort Expectancy, Social Influence, Price Value, and Personal Innovativeness have significant positive impacts on Behavioral Intention. Behavioral Intention plays a significant mediating role between these factors and Use Behavior, while Perceived Risk negatively moderates the relationship between Behavioral Intention and Use Behavior. This study provides theoretical and empirical support for how enterprises can effectively adopt Generative AI, offering important practical implications.

• 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.