• The Journal of the Korea Contents Association
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• v.18 no.3
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• pp.19-33
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• 2018

Collaborative consumption was suggested as a new paradigm of consumption and business model that focuses on sharing and using resources to reduce the risks of resource depletion and environmental impact. Individual consumers carry out a role not only as users but also as providers for collaborative consumption. In the present study, the authors investigated consumers' intention to participate in collaborative consumption both as providers and users. The effects of perceived benefit of collaborative consumption, subjective norms and ease of participation on the intention to participate in collaborative consumption were analyzed. The perceptions on benefits and subjective norms were relatively high, while the perception on ease of participation was relatively low. The effects of subjective norms and ease of participation on the intention to participate in collaborative consumption were significant. The result shows that support from one's reference group and the perception on ease of participation have significant positive effects on the intent to participate in collaborative consumption. Therefore, communication strategies for developing a positive consumer attitude and a social consensus about the necessity of collaborative consumption are needed.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.303-312
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• 2018

The purpose of this study is to design the easy payment service research model and to find the influencing effect on the intention for the reuse of easy payment service by analysing the factors such as the social influence, the promotion condition, the security and the convenience as UTAUT model has. Also the research model employs the trust and the user satisfaction as parameters. The result shows that even though people feel the trust due to the convenience by the social influence, it has a negative influence on the user satisfaction if the risk recognized in the easy payment service and the weakness in the security are anticipated. The results of this study are academically meaningful as they established the research model for the easy payment service and the theoretical basis of the easy payment service area; they have provided the various practical implications.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.117-129
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• 2022

In the perspective of value-based adoption mode, this study empirically examined the factors that affect the intention of users of Fintech payment services to stop using them. A survey of college students who are familiar with digital devices, have no objection to payment and settlement services, and have high service access. A total of 148 questionnaires were analyzed using SPSS and SmartPLS. The study results show that perceived benefits, complexity, and security concerns are significant factors influencing the discontinue intention of Fintech payment services. Among them, the perceived benefit showed the most significant influence. Based on the results of this study, Fintech providers will be able to build a service environment to provide continuous benefits for maintaining long-term relationships with users, improve systems to secure various uses, and reduce users' negative perceptions of security. Recently, the use of services by the elderly has increased, so it is necessary to expand the scope of this study to target various age groups in future research.

• Information Systems Review
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• v.19 no.3
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• pp.47-67
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• 2017

The sharing economy has emerged as a new form of consumption pattern along with the advancement of information technology and the changes in the consumers' desires for economic spending. In a C2C-sharing economy platform, the user side and supplier side share the same assets, thereby making both sides of the market closely related. However, an information asymmetry exists within the platform that makes the players from one side reluctant to participate. This information asymmetry warrants a strategic approach for solving the fundamental "chicken and egg" problem for platform development. Motivated by this phenomenon, this study aims to analyze how the participation intentions from both sides of the platform are influenced by certain anteceding factors, such as trust, perceived risk, and perceived economic profit. Our findings show that the anteceding factors affect the participation intentions in different paths for both sides of the platform. As a managerial implication, these findings highlight the necessity of employing different approaches for each side of market development.

• Journal of Broadcast Engineering
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• v.24 no.1
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• pp.48-57
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• 2019

The purpose of this study is to understand the intention of the inquirer from the single text type question in Goal-oriented dialogue. Goal-Oriented Dialogue system means a dialogue system that satisfies the user's specific needs via text or voice. The intention analysis process is a step of analysing the user's intention of inquiry prior to the answer generation, and has a great influence on the performance of the entire Goal-Oriented Dialogue system. The proposed model was used for a daily chemical products domain and Korean text data related to the domain was used. The analysis is divided into a speech-act which means independent on a specific field concept-sequence and which means depend on a specific field. We propose a classification method using the word embedding model and the CNN as a method for analyzing speech-act and concept-sequence. The semantic information of the word is abstracted through the word embedding model, and concept-sequence and speech-act classification are performed through the CNN based on the semantic information of the abstract word.

• 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 Intelligence and Information Systems
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• v.29 no.2
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• pp.149-170
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• 2023

This study analyzed the factors influencing users' intention to use the Metaverse by applying the extended technology acceptance model. In other words, the factors affecting users' intention to use the Metaverse were defined as technical characteristics (telepresence, interoperability, seamlessness, concurrence, and economy flow) and personal characteristics (social influence and perceived enjoyment) from the perspective of the Extended Technology Acceptance Model. For this purpose, a survey was conducted among men and women of various ages ranging from teenagers to 60s, and the data collected from 327 participants were analyzed using SPSS 22.0 and Smart PLS 4.0. The results showed that perceived usefulness and perceived ease of use, which are antecedents of the Extended Technology Acceptance Model, influence the intention to use Metaverse, and perceived ease of use influences perceived usefulness. Telepresence, interoperability and economy flow were found to have a positive effect on perceived usefulness, and interoperability, seamlessness and concurrence were found to have a positive effect on perceived ease of use. In addition, social influence and perceived enjoyment had a positive effect on intention to use the Metaverse. This study is significant in that it empirically analyzed the factors of users' acceptance of the Metaverse, which is attracting attention as a new platform that will bring significant changes to our daily lives and platform consumption environments.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.142-145
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• 2017

Users of Smartphone in Korea are using the majority of the economically active population over 99% and experts have seen that they have reached saturation after the initial formation stages. The purpose of this study is to investigate the influencing factors of dominant design attributes on the intention of continuous use of Smartphone users. Predictor factors were selected perceived usefulness and perceived ease of use suggested on extended the technology acceptance model. The concept model was completed by selecting the dominant design attribute as a mediator. Participants of this study were 150 Smartphone users in Busan Gyeongnam and Iksan Jeonbuk province in accordance with convenience sampling. IBM SPSS Statistics 19 were employed for descriptive statistics, Smart PLS (partial least squares) was employed for confirmatory factor analysis and path analysis of casual relationship among variables and effect. Analytical results show that all paths of continue usage intention are significant. This study suggests practical and theoretical implications based on the results.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.416-434
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• 2022

This study, for learners using online and offline tools, understood the structural relationship of user experience of smart learning app on continuous use intention through the technology acceptance model, and classified the learning type characteristics. In addition, based on the experience of using the smart learning app, we explored ways to improve the design of the user experience design for learning tools and contents. For this purpose, the usage perception of 84 middle and high school students of the developed smart learning learning app was investigated after using it for 2 months, and the data were analyzed using the PLS structural equation technique. The main results of this study are as follows. First, system and content user experience had a significant effect on perceived usability and perceived ease of use, and the effect on continued use intention through attitude was significant. Second, there was a significant difference in the effect of system user experience on perceived usefulness in multi-group comparative analysis and gender group. In the preferred learning group, it was the path from perceived ease of use and perceived usefulness to attitude and intention to continue using that showed a significant path difference. Third, as a result of classifying the most commonly used learning types by the multidimensional scale method, the types separated into low dimensions were found to be four types: offline sync type, online sync type, ubiquitous learning type, and self-direct learning type.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.1
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• pp.11-21
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• 2017

Internet Banking Offers Major Advantages for Both Banks and Customers. However, Not All People have equal Access or Skills to use such Services. The Main Objective of this Study is to Understand the Fctors Influencing Internet Banking Usage we Developed a Research Model Drawing from the UTAUT and Digital Divide Research. The Model was Tested and find more than 90% of Variance of Internet Banking Usage was Explained by the Model. Results Demonstrate that the Strongest Factor Influencing the Intention to adopt Internet Banking Services is the Degree to which an Individual Believes that it is Safe to use such Services. In the Paper, all the Hypotheses Except for the Hypothesis on the Effort Expectation are Accepted with Statistical Significance.