• CRM연구
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• v.1 no.1
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• pp.49-69
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• 2006

Previous studies, Technology Acceptance Model (TAM) and Post Acceptance Model (PAM) have a little limitation in time series analysis. To solve this limitation, we used system dynamics as research methodology and designed simulation model based on TAM and PAM. Moreover, we designed new simulation model which can analyize time series data in customers' demand change from initial acceptance to post acceptance. This study targeted domestic mobile phone market. The simulation results showed that diffusion graph was similar to real data. That means we validated our simulation model. Since the simulation model offers the graph of customer's demand change by time, so it can be useful as a leaning tool. Therefore, we think this study helps IT companies use the model for forecasting of market demand.

• Information Systems Review
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• v.7 no.2
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• pp.61-84
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• 2005

Previous studies indicate that information and communication technology (ICT) adoption is affected by innovation influence such as usefulness, ease of use and self-efficacy. Most of these studies, how-ever, bypassed imitation influence such as subjective norms, word-of-mouth, and advertising, specifically, interactive innovation having critical mass in technology acceptance research. Thus, this study focuses to investigate imitation influence in individual adoption of mobile communication technology. The purpose of this study is to empirically examine the causal relationships between initial acceptance and the intention to use in terms of a holistic approach. The results of this study show that there is an imitation influence including word-of-mouth and subjective norms, from the prior adopters to potential adopters, and mass advertising through TV or news-paper commercials in the ICT diffusion process. In addition, this imitation influence also stimulates innovation influence such as perceived usefulness. Finally, this study provides a set of guidelines to mobile communication equipment manufacturers and ICT vendors in developing effective strategies for technology diffusion.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.383-394
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• 2021

This study examines the determinants that affect the continuous intention to use of augmented reality applications by applying the technology acceptance model2(TAM2). A survey was conducted on 241 people, and the main results were derived by performing confirmatory factor analysis, correlation analysis, and path analysis using SPSS 21.0 and AMOS 21.0 programs. Presenting the results, it was found that the user's interface, interactivity, and relative advantage of the augmented reality application had a positive effect on perceived usefulness, and technological self-efficacy had a positive effect on perceived usefulness and perceived ease. Perceived ease of use had a positive effect on perceived usefulness, and both perceived usefulness and perceived ease had a positive effect on continuous intention to use of augmented reality applications. In future research, it will be necessary to verify the user effect of augmented reality applications by applying the fields of education or games.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.5
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• pp.360-366
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• 2022

This paper presents a AI model structure for restoring Korean traditional palace photographs, which remain only black-and-white photographs, to color photographs using Pix2Pix, one of the adversarial generative neural network techniques. Pix2Pix consists of a combination of a synthetic image generator model and a discriminator model that determines whether a synthetic image is real or fake. This paper deals with an artificial intelligence model by adjusting a receptive field of the discriminator, and analyzes the results by considering the characteristics of the ancient palace photograph. The receptive field of Pix2Pix, which is used to restore black-and-white photographs, was commonly used in a fixed size, but a fixed size of receptive field is not suitable for a photograph which consisting with various change in an image. This paper observed the result of changing the size of the existing fixed a receptive field to identify the proper size of the discriminator that could reflect the characteristics of ancient palaces. In this experiment, the receptive field of the discriminator was adjusted based on the prepared ancient palace photos. This paper measure a loss of the model according to the change in a receptive field of the discriminator and check the results of restored photos using a well trained AI model from experiments.

• 지역과문화
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• v.8 no.2
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• pp.49-68
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• 2021

The pandemic of COVID-19 also affected performing arts business and stimulated 'Untact' performances, which means online streaming of the shows including real-time streaming. This study sought to examine factors to the consumers' acceptance. The research framework was based on the VAM, a revised model of TAM for the ICT products and services. For the research, consumer survey was conducted, where ndependent variables are perceived usefulness, pleasure, technicalty and innovation resistance, and dependent variables are percieved value and acceptance. Smart PLS was used to test the hypothesis. The result shows that the significant factors were percieved usefulness(+), pleasure(+) and innovation resistance(-). The percieved technicalty was not significant, the major reason would be that the digital devices and the internet technology are percieved a commodity these days in Korea. Percieved value was significant factor to acceptance. This study is meaningful because it is about the new phenomenon of 'untact' performance through the VAM methodology and it examined the significant factors to the attitude from the perspective of benefits and costs. There is limit that this study didn't consider old peoples' attitude. It is the reason that the continuous researches are necessary.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.26 no.2
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• pp.108-115
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• 2018

This study was undertaken to explore the determinants affecting behavioral intention to adopt airport self-service. Based on the theoretical model incorporating the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Technology Acceptance Model (TAM), in this study, a revised and extended model was proposed in order to better explain Airport Self-service adoption. Moreover, the aim was to determine the mediating effect of hedonic motivation on Airport Self-service adoption. The proposed model was empirically tested using survey data provided by 323 respondents and was analyzed using a multiple regression analysis.

• 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.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.345-355
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• 2021

This study examined the factors that influence the use of YouTube-based home training contents by integrating and applying the technology acceptance model and health belief model. The main results are as follows. First of all, it was found that personal innovativeness had a positive (+) effect on perceived ease and perceived usefulness. Perceived susceptibility did not have a significant effect on perceived usefulness, and perceived benefit had a positive (+) effect on perceived usefulness. Finally, it was found that perceived ease had a positive (+) effect on perceived usefulness, Both perceived ease of use and perceived usefulness were found to have a positive (+) effect on continuous intention to use. This study will be meaningful in that it partially reconfirmed the possibility of integrating the technology acceptance model and the health belief model.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.283-289
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• 2021

Many people with disabilities have shown interest in artificial intelligence speakers that serves as the main hub of the smart home. Therefore, the purpose of this study was to identify the intention of people with disabilities to use such speakers. The focus is on those with physical disabilities, a segment that accounts for the largest number of disability types. Based on the theoretical model of technology acceptance, the effect of perceived ease of use and perceived usefulness of artificial intelligence speakers by people with disabilities was analyzed using Structural Equation Modeling (SEM). Research has confirmed that the technology acceptance model is suitable for identifying the intention to use artificial intelligence speakers by people with disabilities, and specifically that the perceived ease of use has a significant impact on usefulness. Furthermore, the perceived ease of use for people with disabilities did not have a statistically significant effect on their intent to use whereas the perceived usefulness was shown to have a significant effect on the same. This study is meaningful as a foundation for developing customized artificial intelligence speaker services and improving the use of artificial intelligence speakers by people with disabilities.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.126-146
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• 2022

With the development of IT technology, consumers' shopping behaviors have diversified, and O2O services that remove the boundary between online and offline are increasing. With the development of O2O services, it is bringing about new changes in offline retailers that are facing limitations against the continuous growth of online. Drawing upon Technology Acceptance Model, this study investigates the effect of service quality perceived by O2O service users on consumers' intention to use O2O services. The result confirmed that the perceived quality, an external variable, affects the perceived usefulness and perceived ease of use, which are the main variables of the Technology Acceptance Model, and the perceived usefulness and perceived ease of use in turn have a significant effect on attitude and behavioral intention. In particular, it was found that the higher the perceived ease of use of the user, the higher the perceived usefulness and positive influence on the attitude. The results of this study suggest that in order to increase the utilization of O2O service by users, it is necessary to highlight the perceived quality of service and at the same time manage convenience and usefulness. This is expected to provide meaningful directions for companies attempting to advance O2O services.