• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권1호
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• pp.305-325
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• 2014

In cloud computing infrastructure, current virtual machine trust measurement methods have many shortcomings in dynamism, security and concurrency. In this paper, we present a new method to measure the trust of virtual machine. Firstly, we propose "behavior trace" to describe the state of virtual machine. Behavior trace is a sequence of behaviors. The measurement of behavior trace is conducted on the basis of anticipated trusted behavior, which not only ensures security of the virtual machine during runtime stage but also reduces complexity of the trust measurement. Based on the behavior trace, we present a Dynamic Tree Style Trust Measurement Model (DTSTM). In this model, the measurement of system domain and user domain is separated, which enhances the extensibility, security and concurrency of the measurement. Finally, based on System Call Interceptor (SCI) and Virtual Machine Introspection (VMI) technology, we implement a DTSTM prototype system for virtual machine trust measurement. Experimental results demonstrate that the system can effectively verify the trust of virtual machine and requires a relatively low performance overhead.

• 한국정보시스템학회지:정보시스템연구
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• 제19권4호
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• pp.65-85
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• 2010

The importance of communities of practice(CoP) as an organizational informal unit for fostering knowledge transfer and sharing gains a lot of attention from KM researchers and practitioners. Since most of CoPs are formulated online these days, the credibility or trustworthiness of knowledge contents circulated within a certain CoP should be considered thoroughly for them to be fully utilized safely. Here comes the need for an appropriate trust measuring methodology to determine the true value of knowledge given by unknown people through an online channel. In this paper, an improved trust measuring method is proposed using new trust variables such as level of degrees derived from the relationships among community users. In addition, activeness, relevance, and usefulness of the knowledge contents themselves, which are calculated automatically using a text categorization technique, are also used for trust measurement. The proposed framework incorporates fuzzy set and calculation concepts to help build trust matrices and models, which are used to measure the level of trust involved in specific knowledge artifacts concerned.

• Journal of Electrical Engineering and Technology
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• 제3권4호
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• pp.451-459
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• 2008

Accurate load modeling is essential for power system static and dynamic analysis. By the nature of the problem of parameter estimation for power system load modeling using actual measurements, multiple local optimal solutions may exist and local methods can be trapped in a local optimal solution giving possibly poor performance. In this paper, Trust-Tech, a novel methodology for global optimization, is applied to tackle the multiple local optimal solutions issue in measurement-based power system load modeling. Multiple sets of parameter values of a composite load model are obtained using Trust-Tech in a deterministic manner. Numerical studies indicate that Trust-Tech along with conventional local methods can be successfully applied to power system load model parameter estimation in measurement-based approaches.

• 경영과정보연구
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• 제13권
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• pp.163-188
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• 2003

Lack of trust is major reason for many company to take a cautions stance towards business-to-business electronic commerce. Especially innovative business models such as online business-to-business marketplaces face the lack of not only having to give their members and partners faith own capabilities and reliability, but also to ensure that the respective parties interacting through them have trust in each other. This paper is empirical study on the trust factors affecting the repurchase intentions in a B2B e-Marketplace by survey instrument based on Likert-style 5 point measurement scale. The objective of this paper is evaluation of relationship between repurchase intentions and trust. The focus of this paper is the antecedents and consequences of buyer trust in a B2B e-Marketplace, not trust intermediaries or in third parties that might mediate between the buyer and e-Marketplace. The findings of this study are expected to increase the awareness of B2B e-Commerce adopter and implementers about the importance of trust in e-commerce participation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권7호
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• pp.1569-1584
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• 2013

Ubiquitous interaction in a pervasive environment is the main attribute of smart spaces. Pervasive systems are weaving themselves in our daily life, making it possible to collect user information invisibly, in an unobtrusive manner by known and even unknown parties. Huge number of interactions between users and pervasive devices necessitate a comprehensive trust model which unifies different trust factors like context, recommendation, and history to calculate the trust level of each party precisely. Trusted computing enables effective solutions to verify the trustworthiness of computing platforms. In this paper, we elaborate Unified Trust Model (UTM) which calculates entity's trustworthiness based on history, recommendation, context and platform integrity measurement, and formally use these factors in trustworthiness calculation. We evaluate UTM behaviour by simulating in different scenario experiments using a Trust and Reputation Models Simulator for Wireless Sensor Networks. We show that UTM offers responsive behaviour and can be used effectively in the low interaction environments.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.939-947
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• 2020

The aim of this research was to empirical examine the influence of brand trust, perceived value on brand preference, and purchase intention for branded phones. The samples were gathered by a convenient sampling method. We collected data from 285 consumers who were visiting electronic supermarkets in Ho Chi Minh City, Vietnam. The measurement used a 5-point Likert scale ranging from 1=completely disagree, and 5=completely agree. PLS - Partial Least Squares method was performed to analyze the measurement model and the structural model. The study model was proposed from prior research. We had assessed the reliability of the scales through Cronbach's alpha and composite reliability. As well, we also had evaluated discriminant validity through the Fornell-Larcker criterion. The findings of the study demonstrated that brand trust had a significantly positive influence on brand preference. Likewise, the findings of the research also stated that brand trust had a positive impact on purchase intention. The results revealed that perceived value had a positive effect on brand preference. Furthermore, the outcomes show that perceived value had a positive influence on purchase intention as well. Furthermore, the findings of the research showed that brand preference had a positive effect on purchase intention.

• 한국콘텐츠학회논문지
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• 제21권12호
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• pp.408-422
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• 2021

본 연구는 항노화 상품의 신뢰형성요인을 발굴하고 측정변수를 개발하여 결과변수인 신뢰와 구매의도 간의 영향관계를 실증적으로 검증하였다. 기존의 신뢰형성요인인 지각된 품질, 지각된 평판, 브랜드 인지도, 맞춤화에 더하여 새롭게 발굴된 요인은 '공인된 인증'이다. 우리나라의 항노화산업은 소비자 건강에 직접 영향을 미치는 산업이기 때문에 기존의 신뢰형성요인이 소비자 신뢰 구축에 한계가 있는 것으로 판단하여 새로운 척도를 발굴하였다. 본 연구는 항노화 상품 소비자를 대상으로 설문조사를 실시하여 문항의 견실성과 관계성을 분석하였다. 분석결과, 항노화 상품 신뢰형성요인 가운데 지각된 품질, 브랜드 인지도, 맞춤화, 공인된 인증이 신뢰에 정(+)의 영향을 미치는 것으로 나타났고, 지각된 평판은 신뢰에 부(-)의 영향을 미치는 것으로 나타났다. 후행변수인 신뢰와 구매의도 간에는 정(+)의 영향을 미치는 것으로 나타났다. 본 연구는 전략적으로 실효성 높은 유의미한 신뢰형성요인 발굴과 측정문항을 개발하여 실증적, 실무적으로 검증함으로써 신뢰형성요인과 신뢰와의 유의미한 관계를 입증하였다. 동시에 항노화 산업의 마케팅에 중요한 신뢰형성 핵심요인 발굴을 통해 향후의 항노화 상품관련 마케팅전략 수립에 본 연구가 상당부분 기여할 것으로 판단된다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 춘계학술대회 논문집
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• pp.1671-1674
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• 2007

A PSD system has a lot of characteristic for safety. Trust of performance test is very important. But PSD performance test has an effect on trust by proficiency of test staff because it is difficult to automate. In that specially the effort test, manual opening and shutting test and abrasion measurement, test staff is demanded for proficiency. Therefore the paper repeated measurement in same condition and studied proficient factor of examiner according to increased measurement counter. As a result, measurement uncertainty has improved.

• 한국프랜차이즈경영연구
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• 제14권1호
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• pp.57-74
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• 2023

Purpose: As global interest in environmental issues increases, the demand for green products/services is increasing. Companies are establishing eco-friendly policies to meet the changing expectations of customers. Therefore, this study aims to analyze the effect of eco-friendly behavior and third-party certification on trust, satisfaction, and loyalty as well as the mediating role of satisfaction based on SOR and signaling theory. Research design, data and methodology: This study collected data from 501 respondents who visited restaurant and analyzed using measurement model with SPSS 28.0 and SmartPLS 4. Results: First, restaurants' eco-friendly behavior and third-party certification (TPC) positively influenced trust while these did not influence satisfaction. Second, trust positively influenced satisfaction. Third, trust and satisfaction positively influenced loyalty. Fourth, TPC had stronger impact on trust and satisfaction compared to eco-friendly behavior in female group while TPC had stronger impact on trust in male group. Conclusions: This study emphasized the importance of TPC over eco-friendly behavior. Restaurants should maintain pro-environmental behaviors such as reducing single-use items while obtaining TPC such as ISO and LEED certifications to increase customer trust. It also found the importance of trust and satisfaction in securing loyal customers. Restaurants should make efforts to build bonds with customers through authentic marketing such as events that encourage customer participation.

• 산업융합연구
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• 제1권2호
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• pp.33-52
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• 2003

This paper is empirical study on the trust factors affecting the repurchase intentions in a B2B e-Marketplace by survey instrument based on Likert-style 5 point measurement scale. The objective of this paper is evaluation of relationship between repurchase intentions and trust. The focus of this paper is the antecedents and consequences of buyer trust in a B2B e-Marketplace, not trust intermediaries or in third parties that might mediate between the buyer and e-Marketplace. The findings of this study are expected to increase the awareness of B2B e-Commerce adopter and implementers about the importance of trust in e-commerce participation.