• 반도체디스플레이기술학회지
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• 제23권1호
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• pp.36-47
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• 2024

The purpose of this study is to identify the factors that impact the user's intention to accept technology when Introducing new information security systems for the workers of a semiconductor company. The findings of this study were as follows. First, the factors of a company's information security systems, namely reliability, expertise, availability, security, and economic efficiency, all significantly and positively impacted performance expectations. Second, the performance expectation of introducing information security systems for a company significantly and positively impacted the intention to accept technology. Third, the social impact of introducing information security systems for a company had a significant and positive impact on technology acceptance intention. Fourth, the facilitating conditions for introducing a company's information security systems significantly and positively impacted technology acceptance intention. Fifth, as for the moderating effect of innovation resistance, the moderating effect was significant in the paths of [performance expectation -> technology acceptance intention], [social impact -> technology acceptance intention], and [facilitating conditions -> technology acceptance intention]. The implication of this study is that the factors to be considered when introducing information security systems were provided to companies that are the actors of their proliferation, providing the base data to lay the foundation for introducing security technologies and their proliferation.

• 한국산업정보학회논문지
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• 제26권5호
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• pp.21-35
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• 2021

본 연구에서는 정보시스템품질요인이 기술수용모형과 사용자의도에 어떠한 영향을 미치는지에 대해 알아보기 위해 정보시스템품질을 시스템, 정보, 서비스에 보안성을 포함하여 최근 대두되고 있는 IT보안의 중요성도 정보시스템품질의 요인으로 보았다. 이러한 정보시스템품질이 기술수용모형과 사용자의도에 어떠한 영향을 미치는지를 검정하기 위해, 기술수용모형은 인지된 유용성과 인지된 용이성으로 구분하였고, 사용자의도는 사용자가 수용의도만 가지고 있는지 활용의도도 있는지 구분함으로써 확장된 정보시스템에 대한 연구를 진행하였다. 연구의 결과를 요약하면, 첫째, 정보시스템품질요인이 기술수용모형에 유의한 영향을 미칠 것이라는 가설은 부분채택되었다. 서비스품질은 인지된 유용성에 영향을 미치지 못하는 것으로 나타났다. 둘째, 기술수용모형은 사용자의도에 유의한 영향을 미칠 것이라는 가설은 모두 채택되었다.

• 한국정보시스템학회지:정보시스템연구
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• 제28권3호
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• pp.59-81
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• 2019

Purpose The purpose of this study is to investigate the resistance factors interfering the acceptance factors of the mobile easy remittance service focusing on the switching cost and the innovation resistance model. Design/methodology/approach This study focuses on revealing the resistance factors of the mobile easy remittance service acceptance. The resistance factor is designed consisting both consumer characteristics and service characteristics in the Innovation Resistance Model. Furthermore, the effect of resistance factors on the innovation resistance and acceptance intentions were detected by moderating the switching cost. Findings According to the empirical analysis result, this study investigated the effect of resistance factors on innovation resistance and acceptance intention for the mobile easy remittance service. The results of this study as follows; (1) The consumer's inherent innovativeness did not significantly affect the innovation resistance and acceptance intention. (2) The attitude toward existing services and complexity significantly affected innovation resistance in direct manner, thus affecting the acceptance intention in indirect manner. (3) The perceived usefulness significantly affected both the innovation resistance and the acceptance intention in direct manner. (4) The perceived risk only effected the acceptance intention. (5) The switching cost had a moderating effect on the innovation resistance and acceptance intention.

• 한국정보시스템학회지:정보시스템연구
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• 제30권3호
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• pp.137-158
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• 2021

Purpose This study aims to investigate which factors have impact on the acceptance intention of new electronic ID. For the empirical analysis, this study utilized PLS-SEM after collecting 385 survey data, and analyzed relations between each factors. Design/methodology/approach This study made a design of the research model by integrating the factors deducted from the Unified Theory of Acceptance and Use of Technology with the factors deducted from the Risk Factors. Findings The results are as follow; First, of the UTAUT factors, Performance Expectancy, Effort Expectancy and Social Influence and has positive impact on Acceptance Intention, but Facilitating Conditions doesn't have meaningful impact on Acceptance Intention. Second, of the Risk factors, Innovation Resistance has negative impact on Acceptance Intention, but Perceived Risk dose not have meaningful impact on Acceptance Intention. Finally, regulatory effect of the Promotion Focus, Prevention Focus and Gender has regulatory impact to Acceptance intention. It is expected that the implications of this study enables government effectively to offer new electronic ID.

• Journal of Information Technology Applications and Management
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• 제27권3호
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• pp.1-18
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• 2020

Recently, following the development of FinTech technology that combines finance and information and communication technology, the need and social demands for a block chain technology-based trading system have increased significantly. In this study, a research model was developed and hypothesized through literature research on the concept of block chain technology, the technology acceptance model, and the unified theory of acceptance and use of technology. The research theories were tested by collecting data through surveys and analyzing the collected data. This study conducted empirical research to identify the factors influencing the user acceptance intention and utilization behavior of the block chain technology in introducing the block chain technology. First, factors affecting the acceptance intention of the blockchain user were performance expectation, effort expectation, social impact, and blockchain transparency variables. Second, the facilitation conditions and stakeholder confidence variables were analyzed as factors that did not affect the acceptability of the blockchain users. Third, variables such as blockchain transparency, stakeholder trust and intention of acceptance are factors that affect the usage behavior of the blockchain. Fourth, it was confirmed that the acceptance intention had a very high explanatory power on usage behavior of Blockchain technology.

• Journal of Information Technology Applications and Management
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• 제16권2호
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• pp.65-77
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• 2009

This study explores the major factors that are likely to affect the acceptance and resistance of innovative products and services. The TAM (Technology Acceptance Model) has been widely used for understanding consumer acceptance of new technology. This model displays perceived usefulness and perceived ease of use as antecedents of intention to adopt and use. However, research has reported a variety of preceding variables for technology acceptance. In addition, considering paradoxes of technology, research regarding both acceptance and resistance in an integrated model can explain consumer perception and behavior in detail. The results of this study states that relative benefits, degree of innovation in technology, perceived usefulness and perceived ease of use have had positive influence on the intention to adopt but negative impact on that of resistance. However, alterations of usage and perceived risk positively affects resistance, but also have negative effects on the intention to adopt. Finally, intention to adopt has comparatively greater influence than that of resistance on intention to use. Theoretical and managerial implications of the results are also discussed.

• 한국산업정보학회논문지
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• 제21권6호
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• pp.81-93
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• 2016

본 연구는 구전정보 수용에 영향을 미칠 수 있는 발신자의 전문성, 구전정보의 생생함과 동의성을 고려하여 온라인 구전정보특성이 구전정보 확산에 미치는 영향관계가 수신자의 전문성 수준에 따라 어떻게 차이가 나는지 확인하고자 실증 분석하였다. 분석결과 첫째, 발신자의 전문성이 높고 구전정보가 생생하고 동의성이 높을수록 정보수용의도에 긍정적인 영향을 미치는 것으로 나타났다. 둘째, 정보수용의도가 재구전의도에 긍정적인 영향을 미치는 것으로 나타났다. 셋째, 수신자의 전문성 수준은 온라인 구전정보 특성이 정보수용의도에 미치는 영향력을 조절하는 것으로 나타났다.

• Asia pacific journal of information systems
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• 제16권1호
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• pp.45-69
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• 2006

Technology Acceptance Model (TAM) has been widely used to predict user's behavior to accept the technology. Prior researches have been mainly focused on innovation constructs such as perceived usefulness and perceived ease of use. However, very little research has been conducted to understand individual mental beliefs in technology acceptance and imitation influence. This study integrates Technology Acceptance Model (TAM), Flow Theory (FT) and Diffusion of Innovation Theory (DIT). This paper indicates that imitation context, cognitive absorption (CA) based Flow theory and innovation context are the three important factors influencing user acceptance of information technologies. The proposed model has been tested among 232 users of MP3 players. Results showed that innovation context and cognitive absorption have positive influences on intention to use technology. Not all factors of the imitation context have direct effect on intention to use. However, we found that imitation context has positive influence on intention to use technology through cognitive absorption.

• 한국정보시스템학회지:정보시스템연구
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• 제15권4호
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• pp.73-98
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• 2006

The purpose of this study was to verify and analyze the factors that influence the acceptance intention of u-Commerce users under ubiquitous computing environments. To accomplish this, the Technology Acceptance Model(TAM) of Davis(1989), which has widely been cited in new technologies such as information technology(IT) and information systems(IS) studies was used to develop the research model. First of all, personal characteristics affecting the acceptance intention of u-Commerce were identified as individual variables through literature review. Utilizing the use of the individual variables and the TAM model, the u-Commerce acceptance intention model was established. The research findings indicated that IT acceptance forms and frequencies in IT use did not have a significant impact on perceived usefulness and perceived ease of use of u-Commerce. It was also found that the perceived usefulness proposed in the u-Commerce acceptance model influenced the perceived usefulness. Both ease of use and usefulness were identified to influence attitude for use. Finally, usefulness and attitude for use also positively influenced acceptance intention. The contribution of this study was the examination of the factors affecting acceptance intention of users in u-Commerce and the verification of the usefulness of the TAM model in describing the acceptance of u-Commerce users using structure acceptance model. Furthermore, this study has empirically analyzed how personal characteristics widely used in the study of acceptance of IT can influence the acceptance of u-Commerce.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권8호
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• pp.4162-4179
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• 2017

The main purpose of this research is to investigate relationships between the significant control factors on acceptance intention to User Experience (UX) sports smart wearable devices by applying Technology Readiness (TR) and Unified Theory of Technology (UTAUT). Research survey targeted on users of golf smart devices in Seoul. A total 534 questionnaires were collected and used for testing hypotheses. Methods to analyze the data included frequency analysis, reliability analysis, confirmatory factor analysis, correlation analysis, and structural equation modeling in accordance with the purpose of the study by using SPSS and AMOS. The results are as follows; First, positive TR had a significantly positive effect on social influence, effort expectancy, facilitating conditions, perceived enjoyment, performance expectancy. Second, negative TR had a significant negative effect on performance expectancy, social influence, facilitating conditions, perceived enjoyment. Third, TR had a no significantly effect on behavioral intention. Fourth, performance expectancy, perceived enjoyment and facilitating conditions had a significantly positive effect on behavioral intention. Fifth, behavioral intention had a significantly positive effect on use behavior. Thus it became crucial to identify the difference in acceptance intention models per each products are as follows. Positive TR of golf-related mobile application users has a positive effect on both technology acceptance belief and acceptance intention, whereas negative TR has no statistically significant effect on technology acceptance belief nor acceptance intention.