• Journal of Industrial Convergence
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• v.2 no.1
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• pp.139-158
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• 2004

The purpose of this study is to examine antecedents and outcomes of trust toward supervisor in organization. The model is developed by reviewing previous research providing various perspectives. Antecedents consisted of three trustworthy behaviors - ability, benevolence, integrity - and three transformational leader behaviors - performance management, motivation, team-orientation -, and job satisfaction and organizational commitment is used outcome variables of trust. Data was collected from 206 employees in 6 organizations in broadcasting industry, using self-report questionnaire. Study finding is as following. First, trust in model was composed by 2 type - affect-based trust and cognition-based trust -, not divided in empirical analysis. Second, regression analysis for trust carry out independently, jointly with trustworthy behaviors and leadership behaviors. In antecedents of trust trustworthy behaviors, ability and benevolence has positive effects to trust, integrity has negative relationship with trust. It was high correlation between trustworthy behavior and leadership behavior. Especially, it has highly correlate(correlation efficient 0.69) between ability and team-orientation that influences trust strongly. Third, trust was not significant relationship with individual variables such as age, period with supervisor. Only, it found significant gap in variables and found out different relationship between variables among organizations distinctly. Fourth, job satisfaction and organizational commitment was positive influenced by trust and found out strong relationship between trust and organizational commitment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.3
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• pp.1260-1281
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• 2015

As the number of services available on the Web increases, it is vital to be able to identify which services can be trusted. Since there can be an extremely large number of potential services that offer similar functionality, it is challenging to select the right ones. Service requestors have to decide which services closelysatisfy their needs, and theymust worry about the reliability of the service provider. Although an individual service can be trusted, a composed service is not guaranteed to be trustworthy. In this paper, we present a trust model that supports service discovery and composition based on trustworthiness. We define a method to evaluate trust in order to discover trustworthy services. We also provide a method to perform trust estimation for dynamic service composition, and we present results of two experiments. The proposed model allows for service requestors to obtain the most trustworthy services possible. Our mechanism uses direct and indirect user experience to discover the trustworthiness of the services and service providers. Moreover, composing services based on quantitative trust measurements will allow for consumers to acquire a highly reliable service that meet their quality and functional requirements.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.565-569
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• 2021

The rapid growth and development of ICT (Information and Communication Technology) and internet services has boosted the adoption of Mobile Government services all around the globe. There is a huge increase in the adoption of government services during COVID-19 pandemic. Existing Mobile Government (MG) solutions are not trustworthy and secure. This paper provides secure and trustworthy solution for mobile government, proposes a centralized smart governance architecture which is based on trust manager. Our proposed work has Wireless Bridge Certifying Authority (WBCA) and Wireless Public Key Infrastructure (WPKI) thereby ensuring security and privacy. Our proposed work ensures trust with WBCA as WBCA acts as a Trust Manager (TM). Proposed protocol has less computational cost and energy cost

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.11
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• pp.5437-5454
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• 2016

A Wireless Sensor Network (WSN) is composed of several sensor nodes which are severely restricted to energy and memory. Energy is the lifeblood of sensors and thus energy conservation is a critical necessity of WSN. This paper proposes a clustering algorithm namely Energy Efficient Trustworthy Clustering algorithm (EETCA), which focuses on three phases such as chief node election, chief node recycling process and bi-level trust computation. The chief node election is achieved by Dempster-Shafer theory based on trust. In the second phase, the selected chief node is recycled with respect to the current available energy. The final phase is concerned with the computation of bi-level trust, which is triggered for every time interval. This is to check the trustworthiness of the participating nodes. The nodes below the fixed trust threshold are blocked, so as to ensure trustworthiness. The system consumes lesser energy, as all the nodes behave normally and unwanted energy consumption is completely weeded out. The experimental results of EETCA are satisfactory in terms of reduced energy consumption and prolonged lifetime of the network.

• Informatization Policy
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• v.23 no.1
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• pp.56-73
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• 2016

The Internet of Things (IoT) is expected to provide new business opportunities by connecting devices, persons, and their data. However, the value proposed by IoT cannot be realized without trust. As IoT premises on the seamless connections, it should guarantee trust among the connected persons and things. However, there is lack of relevant discussion on how to achieve trustworthy connections and interactions because most of academic studies have mainly focused on the development of IoT platforms and applications. To fill the gaps, recent EU-funded projects such as uTRUSTit, ABC4Trust, Inter-Trust, COMPOSE, and SMARTIE have been conducted under the FP7-ICT Framework Programme. This paper presents and discusses each project's purpose and approach. Although their approaches are somewhat different from each other, all of them dedicate to achieving both privacy and security by providing the trustworthy connections. It seems to be clear that Korea also needs more academic and practical contribution in terms of researches, to implement "trust"among connected things, which will eventually satisfy what really IoT is expected for.

• Journal of Internet Computing and Services
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• v.15 no.6
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• pp.35-45
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• 2014

Due to the spread of unreliable online information on the social network services, the users are faced with a difficult problem for determining if the information is trustworthy or not. At present, the users should make a decision by themselves throughly for the trustworthiness of the information. Therefore, we need a way to systematically evaluate the trustworthiness of information on the social network services. In this paper, we design a trust index, called KTI (Korean Trust Index for SNS), as a criterion for measuring the trust degree of the information on the social network services. Using KTI, the users are readily able to determine whether the information is trustworthy. Consequently, we can estimate the social trust degree based on the variation of KTI. This paper derives the various factors affecting trust from the properties of the social network services, and proposes a model to evaluate the trustworthiness of information that is directly produced and distributed over the online network. Quantifying the trust degree of the information on the social network services allows the users to make efficient use of the social network.

• Journal of Distribution Science
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• v.18 no.2
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• pp.91-98
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• 2020

Purpose: This research aimed to suggest retailing companies some ways to enhance customer satisfaction with service recovery and recommendation intention towards these companies. For this purpose, current study examined the relationships among service recovery justice, service failure severity, customer trust, recovery satisfaction and intention to recommend and the moderating role of ego-resilience. Research design, data and methodology: Current study developed a structural equation model in which perceived service recovery justice is a predictor, service failure severity, customer trust, recovery satisfaction are mediators, intention to recommend is a dependent variable and the ego-resilience is a moderator between the perceived service recovery justice and the customer trust and the recovery satisfaction. Data were collected from customers who experienced service failures from retailers. A total of 400 questionnaires were collected and 365 samples were used for analysis after deleting data having missing value. SPSS 25.0 and AMOS 24.0 were used to test the validity, reliability, and structural equation modeling. Results: Empirical results showed that the perceived service recovery justice had a negative influence on the perceived service failure severity and a positive influence on the customer trust and the recovery satisfaction. These results indicate that when customers perceive the service recovery justice more highly, they perceive the service failure less severe but they perceive the retailer more trustworthy and are satisfied with service recovery. In addition, the customer trust and the recovery satisfaction had a positive influence on the intention to recommend. These results indicate that when customers perceive the retailer more trustworthy and are satisfied with service recovery, they are more intend to recommend the retailer. Moreover, the influence of the perceived service recovery justice on the customer trust and the recovery satisfaction was moderated by the ego-resilience. Conclusions: This study contributed to the service recovery literature by proving the relationship among service recovery justice, service failure severity, customer trust, recovery satisfaction and intention to recommend. Moreover, current research introduced the ego-resilience into service recovery research area and revealed the moderation role of the ego-resilience. Managerially, this research suggested retailing companies some ways to effectively recover from service failure.

• Information and Communications Magazine
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• v.33 no.2
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• pp.10-27
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• 2016

Internet of Things defines a large number of diverse entities and services which interconnect with each other and individually or cooperatively operate depending on context, conditions and environments, produce a huge personal and sensitive data. In this scenario, the satisfaction of privacy, security and trust objectives plays a critical role in the success of the Internet of Things. Trust here can be considered as a key property to establish trustworthy and seamless connectivity among entities and to guarantee secure services and applications. The aim of this study is to provide a survey on various trust computation strategies and identify future trends in the field. We discuss trust computation methods under several aspects and provide comparison of the approaches based on trust features, performance, advantages, weaknesses and limitations of each strategy. Finally the research discuss on the gap of the trust literature and raise some research directions in trust computation in the Internet of Things.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.2
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• pp.830-842
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• 2015

Trust and trustworthiness of web services and organizations is calculated as scalar values. But there is still a certain level of risk for the overall reliability of this value. In this article, we focus on calculating trust values as intervals between upper and lower bounds based on predefined confidence values through an additional confidence probability. This will give us a more realistic approach to the trust assessments between individuals and organizations. We also developed a web-based software tool, TAST (Trust Assessment Software Tool) that collects the web services' evaluation of different customer groups for similar organizations through the user interface and calculates the trust intervals for predefined and previously selected confidence values. Our model uses a weighted calculation of mean and variances of customer groups in specific periods and analyses the total and incremental trust of different customer groups.

• 한국디지털정책학회:학술대회논문집
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• 2005.11a
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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.