• Korean Journal of Construction Engineering and Management
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• v.22 no.6
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• pp.3-14
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• 2021

In the Chinese construction industry, the utilization of Building Information Modeling (BIM) aims to increase the total output of the construction industry by solving the problem of inefficient interoperability in the construction industry. In 2011, the Chinese Ministry of Housing and Urban-Rural Development despite the technical advantages of BIM and the government policy, the BIM adoption rate in China is lower than 45%. Meanwhile, as the South Korean construction industry is a step ahead of its Chinese counterpart in introducing and utilizing BIM, it is expected that BIM is more actively utilized and accepted in South Korea than in China. According to a comparative study based on the hype-cycle theory, South Korea is at a more advanced stage of introducing BIM, than in China. This study aimed to suggest how to increase BIM utilization rates in China. To this end, this study comparatively analyzed factors affecting BIM acceptance between China and South Korea. For the comparative analysis of the BIM acceptance factors between China and South Korea, literature reviews on the technology acceptance model (TAM) and BIM acceptance model were carried out, and based on that, the BIM acceptance factors were classified. Other BIM acceptance factors were also added and considered, as they reflected Chinese national characteristics and construction industry. As for the derived BIM acceptance factors, construction project participants, especially actual BIM users in China and South Korea, were targeted for the survey. A t-test using SPSS 22.00 was carried out to identify significant differences in data. Finally, based on the t-test results, this study suggested ways of improving the BIM utilization rate in China. Based on the findings, this study is expected to contribute to activating BIM adoption in the Chinese construction industry and also to set a theoretical foundation for future studies on BIM utilization in the industry.

• Journal of Agricultural Extension & Community Development
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• v.21 no.2
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• pp.29-56
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• 2014

This study conduct for 200 farmhouses who didn't accept new technology like mulberry Protected Cultivation. Through research model combined Innovation diffusion theory(IDT) and Technology Acceptance Model(TAM), it analysed which factors affect for new technology acceptance and diffusion. To verify relations between external factors which affect new technology acceptance and diffusion by endogenous variables such as perceived usefulness, perceived ease of use and perceived riskiness, with external factors, mothed used to analyse it. Most of adopted variables were showed positive results except for individual innovativeness and reliability. Based on the results of these analyses, we can suggest rapid. First, technique diffusion agents should have heighten the level of expertise and technology, and build up the network to solve difficulties with technique supply with mulberry farmhouses. Secondly farmhouses of mulberry outdoor cultivation showed positive attitude protected cultivation, but negative attitude it bacause of the burden of facilities investment. Thus, it is needed to capital investment for individual farmhouse hold. Finally, through cultivation technology education, field trip about mulberry protected cultivation, we can diffuse technology receive for negative farmers.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.199-211
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• 2021

This study analyzed the factors that influence the domestic SMEs that have introduced smart factories on their intention to accept at a higher level for qualitative advancement. 375 copies collected through an online survey were analyzed using SPSS and AMOS with UTAUT and the extended two-stage information system continuous model. Performance expectancy, effort expectancy, social influence, and facilitating conditions have a statistically significant effect on user satisfaction and user satisfaction and CEO's will have an effect on the intention to accept the advancement. However, the suppliers' technology didn't have a direct effect on the advancement acceptance intention and user satisfaction has a mediating effect between performance expectancy, effort expectancy, social influence, facilitating conditions and the advancement acceptance intention. SME's advancement for smart factory, it is important to improve the satisfaction level and the CEO's will to become smart.

• Proceedings of the Korea Association of Information Systems Conference
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• 2004.05a
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• pp.304-315
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• 2004

본 연구는 인터넷 환경 하에서 Davis의 기술수용모델(TAM)을 확장한 것이다. 본래의 TAM 모델에서는 인지된 사용용이성(perceived ease of use) 및 인지된 사용편이성(perceived usefulness)이 시스템 사용을 설명할 때 가장 중요한 요인이라고 제안하고 있다. 그러나 TAM 모델은 실제 시스템 사용의 약 $40\%$만 설명하고 있어 이 모델의 확장이 필요한 편이다. 본 연구에서는 기존의 TAM 모델에, Flow 이론에서 언급된 "인지된 즐거움 (perceived enjoyment)" 및 혁신확산이론(IDT)에서 언급된 "일치성(compatibility)"을 추가하여 TAM 모델을 확장하여 사용하였다. 본 연구자가 근무하는 대학의 대학포탈(university portals) 웹사이트를 사용하여 이 모델을 평가하였다.

• Information Systems Review
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• v.12 no.2
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• pp.47-74
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• 2010

This study presents two dimensional views of IT-use behaviors. It examines public employee's IT-use behavior as manifested in two ways: acceptance on IT, utilization on IT. This study investigates levels of employee's the acceptance and utilization on IT in the Korean Central Government(ministry and agency) and analyses factors affecting public employee's the acceptance and utilization on task-related IT in the public sector. This study tries to examine the variables affecting the acceptance and utilization on IT; especially, the influences of such variables as leadership, task-related communication with people, task motivation, IT usability and ease of uses, task understanding in the context of Korean Central Government. Based on a questionnaire survey in Korean Central Government(8 ministries, 5 agencies) that have implemented Government Knowledge Management System(GKMS), 311 valid instruments were received and analyzed using various statistics and structural equation model(SEM). And this study will adopt try to delineate pre and intervening conditions for public employee's the acceptance and utilization. According to the results of interviews and SEM analysis suggests that the influence of task-understanding, organizational communication, IS usability were statistically significant in the acceptance and utilization on IT. And it is also hoped that the path-analytic model suggested in this study helps reveal the causal chains between the acceptance and the utilization. Especially, task-understanding proves to be important in encouraging public employee's the acceptance and utilization. This result illustrates why task-understanding people are the key to utilize the task-related IT in public organization.

• 전기의세계
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• v.36 no.7
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• pp.502-505
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• 1987

전력계통 및 전원계획분야는 양질의 전력에너지를 발생원으로부터 수용처까지 경제적으로 안정공급하기 위한 이론과 기술을 연구, 개발함을 목적으로 한다. 그리고 그내용으로서는 전기에너지시스템의 구성요소인 전력계통의 해석, 시뮬레이션, 설계, 제어, 운용, 예측, 계획등의 공학적 및 기술적 문제를 다루게 될 것이다.

• International Commerce and Information Review
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• v.9 no.3
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• pp.81-103
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• 2007

인터넷의 확산과 함께 금융 산업에서 인터넷뱅킹의 등장은 은행 산업 전반에 많은 변화를 가져오고 있다. 인터넷뱅킹은 더 이상 단순한 정보시스템이 아닌 은행의 경쟁력을 결정짓는 중요한 요소로 부각되고 있다. 또한 국내 인터넷뱅킹 사용자의 증가로 인해 은행에서는 기존 인터넷뱅킹 사용자가 지속적으로 인터넷뱅킹을 이용할 수 있도록 여러 가지 전략을 개발하여야 할 것이다. 따라서 본 연구에서는 정보시스템 연구 분야에서 기술 수용에 대한 많은 연구들의 이론적 기반이 되었던 계획적 행동 이론(TPB)과 기술 수용 모델(TAM)을 인터넷뱅킹 이용의도 분석에 적용시켜 인터넷뱅킹 이용 행위를 실증 분석함으로써 지속적인 인터넷뱅킹 이용 의도에 영향을 미치는 요인들을 규명하고자 하였다. 더 나아가 TPB 모형과 TAM 모형을 체계적으로 비교분석하여 인터넷뱅킹 이용의도에 관한 이론적 기초를 제시하고, 인터넷 환경에서 은행의 적극적인 인터넷뱅킹 활용에 도움이 될 수 있는 실무적 시사점을 제공하고자 한다.

• Journal of Korea Society of Industrial Information Systems
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• v.4 no.2
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• pp.88-101
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• 1999

The main objective of this study is to contribute to a better understanding of the antecedents of acceptance of information technology by agricultural managers. Questionnaires were administered to potential adopters and users of PC-based communications. Results indicate that potential adopters base their adoption decisions on a sparser set of innovation characteristics than suggested by innovation diffusion literature and users and potential adopters differ on their determinants of behavioral intention and attitude.

• Journal of Global Scholars of Marketing Science
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• v.8
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• pp.515-535
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• 2001

This paper begins with investigation of the race to unlock human DNA, and investigates the emergent areas of bio-technological innovations. This paper draws upon basic ideas from the research traditions of the diffusion of innovations in the competitive situations. To achieve the succesful diffusion of bio-technological innovations, following issues are suggested; clusters, alliances competence, core competence, consumer resistance, chasm phenomena, qualitative research, social network, and cross-culture. The better understanding of the diffusion of bio-tech innovations with empirical studies can complement research on the diffusion of bio-technological innovations and help in the development of a universal model for diffusion of high technological innovations.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.284-293
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• 2020

The rapid progress of AI technology gives us the expectation to solutions to various problems in our society, and at the same time, it gives us anxiety about the side effects that can occur if AI develops beyond human control. This study was conducted in the early 20s with less objection to advanced devices. We attempted to provide clues to understand thoughts and attitudes of the targets about the future environment that will be brought by AI through the process of finding intent the acceptance of strong AI technology. For this, we applied the Theory of Planned Behavior, and further expanded this research model to identify factors affecting the attitude toward AI. As a result, the attitude toward AI and perceived behavioral control had a significant effect on the intention to use to strong AI. In addition, we found that the expectation of the benefit of improving task performance and the anxiety on the threat of relationship disturbance had a significant effect on the attitude toward AI. This study suggests implications for AI-related companies establishing the direction of technology development and for government setting a policy direction for AI adoption.