• Journal of Information Technology Applications and Management
• /
• v.28 no.6
• /
• pp.1-21
• /
• 2021

This study is about Augmented Reality Game (AR Game) applied to Pokemon Go, which has recently been a sensational game. We focused on and analyzed the intention for continuous use as a dependent variable. We made hypotheses through previous studies and used spatial presence, perceived interactivity, perceived pleasure, and sickness as independent variables. Immersion was set up as a mediating variable. We conducted the study using 198 data, which people who experienced AR games responded. The results were as follows. First, spatial presence and perceived pleasure were found to have a significant effect on immersion, as in previous studies. Second, the relationship between sickness and immersion, which were shown to have a negative relationship in previous studies, we found that variables had a positive relationship unlike previous studies and rejected the hypothesis. Third, perceived interactivity, which is one of the crucial variables to affect the intention for continuous use, we found not to have a significant relationship among perceived interactivity, immersion, and the intention for continuous use. This result is opposite from previous studies, and further research on this issue is expected. We conducted this study with an individual user's view on immersion and the intention for continuous use rather than focusing on technical or political topics. Besides, this study has a significance that drew different results from previous studies and explored people who relish AR games with the characteristics of personal variables.

• Journal of Fashion Business
• /
• v.16 no.4
• /
• pp.46-63
• /
• 2012

This research purposed to the conceptual model with integrates the expanded task technology fit theory(TTF) and technical acceptance model(TAM) for the effect of the motivational factor of the consumer characteristics in the used the fashion mobile commerce. To fulfill the study objectives, a total of 432 questionnaires were conducted to the customers with first-hand experience with merchandise in mobile commerce. The judgement sampling method was employed on sample population ages from 20s to 30s over two month period. Based on the results of the above-mentioned path analysis, The result showed that First, the utilization experience was adopted as the have the notes effect in the and information acquisition fit, support fit, quality fit, perceived ease of use. and the innovativeness was adopted as the have the notes effect in the information support fit, perceived trust, perceived ease of use. and the self-efficacy was adopted as the have the notes effect in the and information quality fit, perceived usefulness, perceived ease of use. Second, the information acquisition fit, support fit were adopted as the have the notes effect in the perceived trust, perceived usefulness, perceived ease of use. and the information quality fit was adopted as the have the notes effect in the perceived trust, perceived usefulness. Third, the appeared similar effect which considers from all relationships such as perceived trust, perceived usefulness, perceived ease of use, acceptance attitude and purchase intention.

• The Journal of Society for e-Business Studies
• /
• v.10 no.3
• /
• pp.135-157
• /
• 2005

Based on literature relating to the theory of planned behavior(TPB) and the TAM, this study extends the applicability of the TAM in a mobile banking context, by adding one trust-based construct('perceived credibility') and two resource-based constructs('perceived efficacy' and 'perceived cost') and technical suitability constructs to the model, while paying careful attention to the placing of these constructs in the TAM's existing nomological structure. Data collected from 182 users in Korea were tested against the extended TAM, using the structural equation modeling approach. The results strongly support the extended TAM in predicting users intentions to adopt mobile banking. Several implications for IT/IS acceptance research and mobile banking management practices are discussed.

• Information Systems Review
• /
• v.19 no.3
• /
• pp.1-21
• /
• 2017

The Internet of Things (IoT) analysis aims to verify the technical characteristics, performance expectations, and adoption intentions of IoT. This work refers to IoT data from foreign and domestic publications and websites as well as aims to benefit related organizations by referring to reports from agencies. The literature review summarizes the relevant theories and background of the unified theory of acceptance and use of technology. The SPSS 22.0 software and structural equation models (smart PLS 2.0) are used in the data analysis. Technical statistics analysis, reliability analysis, validity analysis, structural equation models, and statistical methods are employed to test the research hypotheses, that is, the technical characteristics of IoT will have positive effects on its performance expectations. This study introduces the characteristics and expected performance of IoT to present relevant IoT guidelines for companies that aim to adopt such technology.

• The Journal of Information Systems
• /
• v.22 no.1
• /
• pp.65-87
• /
• 2013

The development and expansion of communication technology in the field of information technology (IT) have changed the method and culture of communication, mediating communication among people. In particular, since social network service (SNS) has the attributes of information delivery and processing, it has a more powerful dissipating effect and influence than other existing communication methods. The role of users in SNS is important because it has the communication structure of producer-consumer, which consists of sharing, connection and participation of users. In this line, the purpose of this study is to investigate the intention for continued use of SNS by user ability. In order to explain the motivation and behavior for continued use of SNS by users, this study employed the motivation theory and post-adaptation model. The study applied 'media literacy' to the characteristics of SNS media and environment and expanded it into the concept of 'SNS literacy' to identify the moderating effect by user ability. Referred to as 'user's ability that is required to use SNS,' the SNS literacy was verified for its moderating effect with the three sub-dimensions: 'technical accessing ability,' 'understanding ability' and 'creative ability.' The major findings of this study are as follows. First, the perceived usefulness and playfulness were found to have a significant effect on the intention for continued use of SNS, showing the same result with previous studies on technology acceptance. In other words, usefulness and playfulness are variables with an explanatory power in the SNS environment as well. Second, the conceptualization of SNS literacy with accessing ability, understanding ability and creative ability was found to be valid. Third, it was verified that there was a significant difference in the SNS literacy between perceived usefulness and continued use, indicating that users with higher ability respond sensitively to usefulness and affect continued behavior. The moderating effect of SNS literacy was also verified in the relationship between perceived playfulness and intention for continued use. The results above confirm the difference in post-adaptation behavior of individuals, and are expected to provide several implications.

• Korean Management Science Review
• /
• v.23 no.2
• /
• pp.59-74
• /
• 2006

In this paper, we investigated economic viability of UCA (Ubiquitous Contents Access) technologies from user adoption perspective. UCA technologies are expected to 9et embedded into media and telecom merging services. Embracing new technologies such as UCA technologies, forged through an industry convergence, means opting for a technological innovation that will have technological as well as economic and strategic implications. As such, we adopted user perspective innovation adoption theories to explore key antecedents affecting consumer acceptance of these emerging technologies. Subsequently. using QFD (Quality Function Deployment) method, the impacts of UCA technical functions on user's perceived value enhancements are estimated. The QFD analysis result indicates that the new UCA service technologies could achieve about 42% enhancement on user perceived adoption intention compared to existing digital contents service technologies. The proposed analysis framework and findings suggests significant insights for further research.

• Journal of Information Technology Services
• /
• v.20 no.3
• /
• pp.41-56
• /
• 2021

New drug discovery and development research enable clinical treatment that saves human life and improves the quality of life, but the possibility of success with new drugs is significantly low despite a long time of 14 to 16 years and a large investment of 2 to 3 trillion won in traditional methods. As artificial intelligence is expected to radically change the new drug development paradigm, artificial intelligence new drug discovery and development projects are underway in various forms of collaboration, such as joint research between global pharmaceutical companies and IT companies, and government-private consortiums. This study uses the TOE framework and the Value-based Adoption Model, and the technical, organizational, and environmental factors that should be considered for the acceptance of AI technology at the level of the new drug research organization are the value of artificial intelligence technology. By analyzing the explanatory power of the relationship between perception and intention to use, it is intended to derive practical implications. Therefore, in this work, we present a research model in which technical, organizational, and environmental factors affecting the introduction of artificial intelligence technologies are mediated by strategic value recognition that takes into account all factors of benefit and sacrifice. Empirical analysis shows that usefulness, technicality, and innovativeness have significantly affected the perceived value of AI drug development systems, and that social influence and technology support infrastructure have significant impact on AI Drug Discovery and Development systems.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.21 no.5
• /
• pp.117-132
• /
• 2022

The purpose of this study is to analyze factors that affect road users' acceptance of fully autonomous vehicles (level 4 or higher). A survey was done with drivers of general cars and pedestrians who share roads with fully autonomous vehicles. Five acceptability factors were selected: trust towards technology, compatibility, policy, perceived safety, and perceived usefulness. The effect on behavioral intention was analyzed using structural equation modeling (SEM). The perceived safety and trust towards technology were found to be very important in the acceptance of fully autonomous vehicles, regardless of the respondent, and policy was not influential. Compatibility and perceived usefulness were particularly influential factors for drivers. In order to improve the acceptance by road users, securing technical completeness of fully autonomous vehicles is important. Certification and evaluation of the safe driving ability of fully autonomous vehicles should be thoroughly performed, and based on the results, it is necessary to improve the perception by road users. It is necessary to positively recognize fully autonomous vehicles through education and publicity for road users and to support their smooth interaction.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.1
• /
• pp.448-456
• /
• 2020

This study found that it is critical to consider farmers' intention to adopt new technology in order to facilitate the spread of new technology. Based on this assumption, the research team analyzed the following: factors that influence intention of adoption and marginal effects on those factors. The data were collected from 99 farmers who did not participate in the pilot projects on dissemination of new technologies developed by the Rural Development Administration (RDA). A total of 19 observed variables were set to measure seven latent variables: educational support; technical support; funding support; compatibility; trialability; observability; and antipathy. The intention to adopt new technology was established as the dependent variable. According to the ordered logit analysis, educational support, observability, and antipathy were found to have significantly affected the intention to adopt new technology; their odds ratio were 6.938, 2.716, and 0.501, respectively. According to the marginal analysis, educational support, observability, and antipathy were found to have significantly affected the intention to adopt new technology; their marginal effects were 20.2 %, 10.4 %, and -7.2 %, respectively. Therefore, this study suggests the following to facilitate the spread of new technology: first, provide quality support services through effective deduction; second, increase the visibility of new technology; and third, enhance the credibility of agricultural institutions by developing continuous relations with farmers to reduce their antipathy.

• The Journal of the Korea Contents Association
• /
• v.17 no.10
• /
• pp.179-189
• /
• 2017

The purpose of this paper is to develop a comprehensive research model that can explain potential customers' intentions to adopt and use VPA(Virtual Personal Assistants) devices. This study proposes and validates a new theoretical model that extends the perceived value theory. Partial least squares analysis is employed to test the research model and corresponding hypotheses on data collected from 313 survey samples. Perceived value, perceived usefulness, perceived enjoyment are important factors affecting the adoption of VPA devices. To increase potential users' intention to use, VPA device manufacturers should not only focus on developing utilitarian functions but also fun features based on open development echo-system. This study is the important empirical attempt to examine user acceptance of VPA devices, as most of the prior literature has concerned analysis of usage patterns or technical features.