• Journal of Information Technology Applications and Management
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• 제28권6호
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• pp.23-43
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• 2021

This research is a study on smart homes products, which interest and research are being conducted, because of the recent development of the Internet of Things. Consumer's Purchase intention was set as a dependent variable, and technological trust was used as a mediating variable. We used Technology Acceptance Model as background theory. Perceived ease of use, Perceived usefulness, Security, and Brand were set as independent variables. The results of this study are as follows. First, it was found that perceived ease of use, perceived usefulness, and security significantly affected technological trust that consumers feel. Second, technological trust also had a significant effect on purchase intention, and it was found that perceived ease of use, perceived usefulness, and product security, excluding brands, had an indirect mediating effect on consumers' purchase intention through technological trust. This study is meaningful in that by conducting user-centered research, and results that are partially contrasted with existing studies are derived from increasing the interest of factors we used.

• 한국IT서비스학회지
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• 제13권3호
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• pp.1-23
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• 2014

This study investigates the effect of technological and environmental factors on the cloud computing assimilation, which then affects firms' performance. The technological characteristics include cost-savings, technology use advantage, technology infrastructure, and technology compatibility while environmental characteristics include partner cooperation, competitive pressure, environmental uncertainty, and business agility. Furthermore, we examine inter-organizational trust as a moderating effect between environmental characteristics and cloud computing assimilation. Data from a sample of 219 firms show the significant impacts of proposed variables with exception of technology infrastructure and technology compatibility. The findings also show that inter-organizational trust has a significant moderating effect in all paths except the one between business agility and cloud computing assimilation. The implication of this study suggests a theoretical framework explaining cloud computing assimilation and performance within inter-organizational environment.

• 디지털융복합연구
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• 제9권5호
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• pp.175-191
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• 2011

본 연구는 기업의 기술역량이 협력성과와 협력만족도에 미치는 영향을 분석하고, 협력 기업 간의 신뢰가 이들의 관계를 어떻게 조절하는지를 분석하고자 하였다 이를 위해 기술협력이 빈번히 일어나고 있는 국내소재 기업을 대상으로 300부의 설문지를 배포하였으며 분석에 사용된 설문지는 최종 143부를 사용하였다. 분석결과 첫째, 기술역량이 협력성과와 협력만족도에 미치는 주 효과 부분을 보면, 기술인력, 기술조직, 기술리더십은 협력성과에 긍정적 영향을 미치며, 기술전략, 기술프로세스, 기술인력, 기술조직, 기술리더십은 협력만족도에 긍정식인 영향을 미치는 것으로 나타났다. 둘째, 기술역량과 협력성과 및 협력만족도의 관계에서 신뢰의 조절효과를 살펴보면, 신뢰는 기술자산역량과 기술조직역량과의 상호작용을 통하여 협력성과와 협력만족도를 개선할 수 있는 것으로 나타났다. 이는 파트너 간에 높은 신뢰가 형성된 경우, 특히 이전이나 제휴, 라이센싱 등을 통해 외부 협력 파트너와 기술자산을 공유하여(기술자산역량) 협력성과와 협력만족도를 증대시킬 수 있음을 의미한다.

• Obstetrics & gynecology science
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• 제61권6호
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• pp.647-648
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• 2018

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.89-100
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• 2021

Smart Grid Network (SGN) is a next generation electrical power network which digitizes the power distribution grid and achieves smart, efficient, safe and secure operations of the electricity. The backbone of the SGN is information communication technology that enables the SGN to get full control of network station monitoring and analysis. In any network where communication is involved security is essential. It has been observed from several recent incidents that an adversary causes an interruption to the operation of the networks which lead to the electricity theft. In order to reduce the number of electricity theft cases, companies need to develop preventive and protective methods to minimize the losses from this issue. In this paper, we have introduced a machine learning based SVM method that detects malicious nodes in a smart grid network. The algorithm collects data (electricity consumption/electric bill) from the nodes and compares it with previously obtained data. Support Vector Machine (SVM) classifies nodes into Normal or malicious nodes giving the statues of 1 for normal nodes and status of -1 for malicious -abnormal-nodes. Once the malicious nodes have been detected, we have done a trust evaluation based on the nodes history and recorded data. In the simulation, we have observed that our detection rate is almost 98% where the false alarm rate is only 2%. Moreover, a Trust value of 50 was achieved. As a future work, countermeasures based on the trust value will be developed to solve the problem remotely.

• Asia pacific journal of information systems
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• 제25권3호
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• pp.500-518
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• 2015

The present research aims to identify the relationship between trust and distrust in an online business environment. To clarify the concepts, cognitive-affective personality system theory was introduced, through which five types of psychological units were proposed. In developing the research model based on the theory, technical effectiveness of the system and content truthfulness of the website were selected as two key stimuli for the coding process of online users. Trust and distrust were selected as mediating factors that generate consequent behaviors. Finally, purchase intention served as a final dependent variable. Assuming that trust and distrust emerge in psychologically different stages, this study hypothesized the mutual causal relationship between trust and distrust, indicating that the relationship will be determined by their contextual emphasis on each dimension. To validate, a survey was conducted with 307 online shopping mall users. Results show that stimuli were more significantly associated with trust. Trust is therefore a more cognitive construct than distrust, and the path from trust to distrust is stronger than that from distrust to trust. This finding implies that the cognitive aspect of trust is stronger than that of distrust. Distrust is rather more affectively emerging than trust.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2005년도 추계학술대회
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• pp.425-433
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• 2005

The purpose of this paper is to study a framework on building and continuing consumer trust in mobile travel and tourism content (M-TTC). Trust development life cycle in e-commerce is a trust-oriented building flow of online consumer. Travel information and content in mobile commerce is a initiative and immature step in the ubiquitous era. Travel and tourism industry is information intensive and network business between the bricks and clicks, the public and private, and the virtual and physical. A framework of travel and tourism content in m-commerce based on Siau and Shen (2003) and in perspective of information cities by Ferguson, et al. (2004) proposes conceptual components to build information and content for continuous consumer trust. The main results of the paper by focus group research methodology focus on building a conceptual m-trust model of mobile content in travel and tourism industry. Additionally, it shows what the important factor is and how the trustworthy improves continuously to the public, mobile vendors, and technological aspects.

• 과학기술학연구
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• 제15권1호
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• pp.69-107
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• 2015

이 글에서는 '과학기술에 대한 시민의식 조사' 자료 분석을 통해 4대강 사업에 관한 시민의식의 변화, 특히 시민의 전문가 신뢰의 변화를 살펴봄으로써 '전문지식 정치'의 변화 양상을 이해해보고자 했다. 조사결과로 정부와 찬성 측 전문가의 신뢰도가 하락한 반면에, 반대 측 전문가, 환경단체의 신뢰도는 유지되거나 약간 상승하였다. 이것은 4대강 사업이 전문지식을 둘러싼 정치적 대결의 장이라는 사실을 보여준다. 정부의 4대강 사업 정책결정 과정은 그 타당성을 둘러싼 과학기술적 전문지식권력의 활용과 관련되어 있다는 점에서 전문지식 정치의 관점에서 살펴볼 수 있는 것이다. 한편 4대강 사업과 같이 전문가의 전문지식의 영향이 큰 과학기술적 생태적 쟁점과 관련하여, 시민들의 관심이 높고 또 이러한 사업이 일상생활에 영향을 미친다는 생각이 큰 것은 시민들의 권리의식이 높아진 결과라고 할 수 있다. 이와 함께 정책결정 과정에의 참여 필요성에 대한 생각이나 실제적인 참여 의향이 적지 않은 것은 과학기술 시민자격, 특히 '시민자격-책무 덕성'의 발달에 기인한다고 해석할 수 있다.

• 유통과학연구
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• 제20권11호
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• pp.61-69
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• 2022

Purpose: Technological developments make the business competition even tighter. Digitalization makes it easier for business people in their efforts to encourage the formation of consumer buying behavior because of the availability of effective and efficient means of delivering information to be used to make purchasing decisions. The purpose of this study was to determine the effect of E-Wom and Website Attractiveness on E-Trust and Purchase Decision of online sales on Instagram with innovation acting as a moderating variable. Research design, data and methodology: This research sample is 170 Instagram users who have made online purchases from the local fashion brand. This research is quantitative explanative with data collection using questionnaires and analysis techniques using the Structural Equation Modeling (SEM) approach using AMOS. Results: The results showed that E-wom had a significant positive effect on Purchase decisions. Web Attractiveness has no significant effect on Purchase Decision. Ewom has a significant positive effect on E-trust. Web Attractiveness has a significant positive effect on E-trust. E-Trust has no significant effect on purchase decisions. Conclusions: Innovation can moderate the effect of E-trust on Purchase decisions. Purchase Decisions can be influenced by E-wom and E-trust, but not Web Attractiveness.

• 한국정보시스템학회지:정보시스템연구
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• 제32권4호
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• pp.69-94
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• 2023

Purpose Social networking service (SNS) platforms employ distinct networking strategies to meet the varying needs of their users, resulting in divergent sets of technological functionalities offered by each platform. Consequently, unique features on various SNSs give rise to distinct social issues. Moreover, the available technical coping mechanisms for users vary significantly across platforms. Design/methodology/approach Therefore, this study analyzes the factors affecting technical coping intention based on technical functions of SNSs for users exposed to cybercrime, such as sexual harassment. We divide coping intention into active and passive coping intention. Furthermore, this research focuses on trust as an antecedent of coping intention and verifies how human and system-like trust affects two coping intentions in different directions. Findings Findings reveal that system-like trust significantly affects both active and passive coping intention as a belief in whether the technology will work properly. However, in the case of human-like trust, trust in the platform provider was found to negatively affect passive coping, which is considered unsocialized behavior on SNS platforms. Therefore, both human-like and system-like trust for the platform must be appropriately applied to cope with the problem while activating the platform.