• 한국IT서비스학회:학술대회논문집
• /
• 2009.05a
• /
• pp.183-187
• /
• 2009

본 연구는 정보시스템이 조직에 수용된 후의 이용단계에서 사용자의 지속사용의도에 영향을 미치는 요인들간의 관계 모형을 도출하고, 실증하였다. 실증분석 결과, 성격심리유형과 주관적 지각인 기대일치, 자기주도성, 자기효능감이 정보시스템 수용 후 단계에서 지속적인 사용을 예측할 수 있는 변인으로 나타났다. 따라서 정보시스템 도입 초기의 기술수용관점에서 설명하였던 TAM과 그 확장모형들과는 달리, 수용 후 정보시스템 지속사용 성과 요인에 대한 인식을 사용자 중심으로 하는 방향으로 관점의 변화가 필요하다는 결론을 도출하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.05a
• /
• pp.120-122
• /
• 2016

While smart learning have been introduced for more learning effect, this study is to understand students' smart learning acceptance using TAM model. Through using the result of the study, it is to provide suggestions for the improvement of smart learning effect and the acceptance using various multi media on thew view of students.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.05a
• /
• pp.131-133
• /
• 2016

While smart learning have been introduced for more learning effect, this study is to understand teacher's smart learning acceptance using TAM model. Through using the result of the study, it is to provide suggestions for the improvement of smart learning effect and the acceptance using various multi media on thew view of teachers.

• Journal of Convergence for Information Technology
• /
• v.11 no.4
• /
• pp.1-18
• /
• 2021

The purpose of this study is to study the influencing factors that can affect the acceptance intention and acceptance behavior of the 4th Industrial Revolution and smart factory-related technologies by using the expanded UTAUT. Through this, by grasping which influencing factors affect the introduction and acceptance of related technologies, it is to derive strategies for responding to the fourth industrial revolution by manufacturing companies and accepting smart factory related technologies. A survey was conducted on various manufacturing companies, and 167 copies were used for research. As a result of the testing of research hypotheses, performance expectation, social impact, promotion conditions, network effect, and innovation have a positive (+) significant effect on acceptance intention. However, expectation of effort had a positive (+) effect on acceptance intention, but was not significant. Acceptance intention was tested to have a positive (+) significant effect on acceptance behavior. Therefore, factors that should be improved by individual manufacturing companies in the process of responding to the 4th industrial revolution and the introduction and acceptance of smart factory-related technologies are clearly presented.

• Journal of Korea Spatial Information System Society
• /
• v.9 no.1
• /
• pp.15-30
• /
• 2007

The purpose of this study is to explore essential factors of influencing user's usage intentions on telematics services and to find relationships among factors. This study derives several variables and hypotheses through literature reviews on the extended research model based on Davis's Technology Acceptance Model. With the objective of statistical verification, derived variables were sorted into meaningful categories through various statistical packages. These were included multiple regression analysis to improve the reliability of survey data. The demand analysis was conducted by targeting on users who have previously experienced telematics services. Indicated analyzed results which 'suitability', 'localization', and 'instant connectivity' variables were positively related to the user's usage intentions, especially accuracy of information variable. The factors of influencing the usage intention on telematics services can be useful empirical data in order to analyze the market trends and to suggest industrial or political guideline of telematics services.

• KIPS Transactions on Computer and Communication Systems
• /
• v.10 no.12
• /
• pp.329-342
• /
• 2021

The pharmaceutical industry is experiencing a productivity crisis with a low probability of success despite a long period of time and enormous cost. As a strategy to solve the productivity crisis, the use cases of Artificial Intelligence(AI) and Bigdata are increasing worldwide and tangible results are coming out. However, domestic pharmaceutical companies are taking a wait-and-see attitude to adopt AI platform for drug research. This study proposed a research model that combines the Value-based Adoption Model and the Innovation Resistance Model to empirically study the effect of value perception and resistance factors on adopting AI Platform. As a result of empirical verification, usefulness, knowledge richness, complexity, and algorithmic opacity were found to have a significant effect on perceived values. And, usefulness, knowledge richness, algorithmic opacity, trialability, technology support infrastructure were found to have a significant effect on the innovation resistance.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.4
• /
• pp.1652-1662
• /
• 2013

As smart devices like smartphones and smart pads are prevalent recently, dramatic changes so called 'smart evolution' deployed in many socioeconomic areas. These changes lead the TV industry to develop a smart TV differentiated from a conventional TV by enabling internet connectivity and applications execution. In this study the factors affecting the acceptance of a smart TV are extracted by reviewing the previous works and the structural relationships among these factors are analyzed. Adding 'Social Influence' to consider an environmental factor and 'Innovativeness' for personal characteristics, we build an extended Technology Acceptance Model and analyzed the structural relationships among the factors in the model using Structural Equation Model. In the results we can find that the environmental factors affect the perceived characteristics. The moderating effects of gender and level of experience in smart devices have also been investigated. No difference is found between gender groups. In much-experienced group, Innovativeness affects Perceived Usefulness and acceptance of a smart TV. In less-experienced group, however, Innovativeness affects Perceived Ease of Use, Expected Enjoyment and finally acceptance of a smart TV.

• Proceedings of the CALSEC Conference
• /
• 1999.11a
• /
• pp.732-741
• /
• 1999

지금까지의 국내외 연구들에서 다루어 왔던 TAM 연구들의 대부분은 사용 용이성과 유용성이 정보기술의 사용에 어떤 관련성이 있는가에 연구의 초점을 맞추어 왔다. 하지만, TAM의 구성요소중 하나인 외부변수에 대한 구체적인 정의가 동반되지 못했다 이에 본 논문에서는 TAM의 외부변수들을 선행된 연구들에서 찾아 정리하고, 개인적 변수와 조직적 변수로 크게 분류하여 이들 변수들이 사용 용이성과 유용성에 어떠한 영향을 주는 지를 연구함으로써, 사회나 조직 구성원들이 정보기술을 습득하고 수용하는 일련의 과정을 연구하는 것을 그 목적으로 하고 있다. (중략)

• Proceedings of the Korea Society of Information Technology Applications Conference
• /
• 2004.06a
• /
• pp.71-71
• /
• 2004

• Informatization Policy
• /
• v.29 no.1
• /
• pp.60-83
• /
• 2022

The purpose of this study is to empirically analyze the effect of individual perception of artificial intelligence and the level of digital literacy on the acceptance of artificial intelligence-based public services. For empirical analysis, a research model was set up based on the technology acceptance model and planned behavior theory using survey data of 2017 and analyzed through structural equations. To summarize the results of the analysis, firstly, the positive perception of individuals about artificial intelligence technology plays a role in reinforcing attitudes toward benefits and reducing concerns about public service in which artificial intelligence technology has been introduced. Secondly, the level of digital literacy reinforces both benefits and concerns about artificial intelligence technology, but it was found that the intention to use public services was reinforced through the benefits of artificial intelligence technology perceived by individuals, rather than privacy concerns about artificial intelligence technology. Thirdly, it was confirmed that the perceived benefits of individuals on artificial intelligence technology reinforced the intention to use public civil services, and privacy concerns negatively influenced the intention to use. It was confirmed that the influence of a perceived ease of use and usefulness, as opposed to privacy concerns, further reinforces the intention to use. Both citizens' positive perceptions regarding the accuracy and reliability of information provided through artificial intelligence technology and institutional complementation of responsibility for errors caused by artificial intelligence technology are strengthened, and technical problems related to privacy protection are solved.