• The Journal of Information Systems
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• v.32 no.3
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• pp.63-83
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• 2023

Purpose With the continuous growth of the OTT services market, trust issues are becoming increasingly important, but research on this topic is still in its infancy. The purpose of this study is to identify the structural relationship between information system quality and reuse intention of OTT services and to analyze the impact of trust and user satisfaction. Design/methodology/approach This study proposed a research model based on the information system success model. In this study, a survey was conducted among 236 Korean users who have used OTT services within the last six months. Findings The results of the analysis showed that text quality and visual quality had a significant impact on trust in OTT services, with text quality having the largest impact. System quality and text quality also had a significant impact on trust in OTT service providers. However, visual quality did not have a statistically significant effect on trust in the service provider. Trust in the OTT service and the service provider was analyzed to have a significant impact on user satisfaction. However, it did not have a statistically significant impact on reuse intention. These findings have important implications for improving trust in OTT services to increase users' reuse intentions. It is also expected to contribute to further expanding the field of OTT service research.

• Korean Management Science Review
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• v.29 no.2
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• pp.1-20
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• 2012

While feeling anxious about the risk of exposure of personal information and privacy, users of microblogs and social network services are continuously using them. This study aims to develop a model to investigate this phenomenon. Specifically, this study explores the relationship between personal characteristics (represented by privacy concern and self-presentation) and an individual's self-disclosure. An individual's personal belief (represented by perceived risk and perceived trust) is also tested as an mediator between the relationship. Through a questionnaire survey to 183 twitter users in Korea, the results indicate that self-presentation has a direct influence on self-disclosure as well as an indirect influence through perceived trust. In contrast, privacy concern has not a direct but an indirect negative influence on self-disclosure through perceived risk. In conclusion, self-presentation has a stronger influence on self-disclosure then privacy concern to Twitter users. An individual who has a higher propensity for self-presentation will form a stronger perceived trust on Twitter, which in turn, affects the individual's self-disclosure. On the other hand, an individual who is more concerned with personal privacy will feel more serious about perceived risk, which in turn, negatively influences one's perception of the trust in Twitter as well as his desire for self-disclosure.

• Journal of Software Assessment and Valuation
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• v.16 no.2
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• pp.53-62
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• 2020

In the end-user domain of an IoT environment, there are more and more intelligent M2M devices that provide resources to create and share application services. Therefore, it can be very useful to manage trust by transferring the role of the existing centralized service provider to end users in a P2P environment. However, in a decentralized M2M computing environment where end users independently provide or consume services, mutual trust building is the most important factor. This is because malicious users trying to build malfunctioning services can cause security problems in M2M computing environments such as IoT. In this paper, we provide an integrated analysis and approach for trust evaluation of M2M application services, and an optimized trust evaluation model that can guarantee reliability among users of the M2M community.

• Journal of Distribution Science
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• v.15 no.5
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• pp.53-64
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• 2017

Purpose - This study focuses on use intention of mobile travel Apps by Chinese tourists visiting Korea based on UTAUT model, ISS model and ITM model. And the corresponding market promotion schemes are proposed for operators of mobile travel Apps by the research results. Research design, data, and methodology - After collecting 326 respondents in China with cross-sectional questionnaires, this study begins the empirical research with users of mobile travel Apps, and analyzes data with IBM SPSS 23.0 and IBM AMOS 23.0. Results - The results of this study include the following aspects: firstly, the System quality and Information quality are accepted for hypotheses of Satisfaction and Performance expectancy. Secondly, the Personal Propensity to Trust and Firm Reputation are accepted for Initial Trust hypothesis, and the hypotheses of Firm Reputation and Initial Trust are accepted for Use Intention. Thirdly, the Performance expectancy, Effort expectancy, Social influence are accepted for Use Intention hypothesis. Conclusions - With the increase of tourists visiting Korea, it can be predicted that the needs visiting Korea will be increased persistently for Chinese - this trend brings about the increase of the Chinese travel. First, information quality greatly influences satisfaction and performance expectancy. The research result shows that, the higher the mobile traveling App's information quality is, the higher the satisfaction and performance expectancy will be. Therefore, operators of mobile traveling App should have in-depth investigations towards users, to know the latter's real demand to the information quality and then provide corresponding services. Second, performance expectancy and effort expectancy greatly influence users' intention. Therefore, mobile traveling App operators should improve Apps' convenience and efficiency and, in doing so, find an effective method for market expansion. Third, social influence greatly affects users' intention. The result shows that mobile traveling App operators should pay attention to the influence of mass media and friends' recommendation on users, thereby it is necessary to improve advertisement activities. Fourth, initial trust also influences users' intention. The result shows that initial trust is a key element inducing users to generate use intention. Therefore, mobile traveling Apps operators should make efforts to catch elements that influence users' initial trust.

• Knowledge Management Research
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• v.13 no.4
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• pp.83-100
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• 2012

Given the prevalence of mobile social network services (SNS) such as Facebook and Kakaotalk, it has become important to understand user's continuance behavior in a mobile SNS environment. Although trust and privacy concerns play a key role in SNS users' decision-making processes, most studies on SNS have shed little light on the effects of trust and privacy concerns on SNS continuance intention. In this regard, this paper developed an integrated model to deeply understand the key antecedents of user's continuance intention to use mobile SNS by incorporating trust and privacy concerns into extended expectation-confirmation model. The proposed research model was tested by using survey data collected from 170 users who have experience with Kakaotalk. The findings of this study found that the proposed theoretical framework provides a statistically significant explanation of the variance in continuance intention of mobile SNS. The analysis results indicate that trust serves as the salient antecedent of continuance intention to use mobile SNS. However, it was found that privacy concerns negatively influence trust, whereas it is not significantly related to continuance intention of mobile SNS. The theoretical and practical implications of the findings were described.

• Korea Journal of Hospital Management
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• v.24 no.1
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• pp.36-47
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• 2019

Purposes : The purpose of this study is to analyze empirically the consturct development of brand trust in dental clinic service and its influence on both satisfaction and brand loyalty of clinic users in Seoul area. Methodology : To test the hypotheses, the structured instrument was employed to question to patients and their guardians who had used dental clinics in the metropolitan area. 207 cases were analyzed with structural equation method through SPSS 18.0 and AMOS 22.0, and findings of the test as follows. Findings : Firstly, both functional and associative images had a positive impact on the brand trust. Especially we found the influence of functional images was greater than that of the brands' associative images. Secondly, the satisfaction of dental clinic users had greater positive influence on the clinics with greater trust. Thirdly, the higher the satisfaction of health service consumers, the more positive effect on brand loyalty. This relationship between the satisfaction of dental clinic users and brand loyalty match the findings of previous studies on relations of similar variables. Practical Implications : This study shows that with greater satisfaction, the referral rate and the revisit rate of users would increase. This implies that dental clinics need to take appropriate actions to build brand trust with advertising and/or PR strategies for a good brand image. It would be necessary to research further expected variables that influence users' brand loyalty in the service, such as the dentists' level of expertise, their relationship level with customers, the quality of dental services and et al..

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.109-122
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• 2023

As platforms become primary decision making tools, platforms for decision have been introduced to improve quality of decision results. Because, decision platforms applied augmented decision-making process which uses experiences and feedback of users. This process creates a variety of alternatives tailored for users' abilities and characteristics. However, platform users choose alternatives before considering significant quality factors based on securing decision quality. In real world, platform managers use an algorithm that distorts appropriate alternatives for their commercial benefits. For improving quality of decision-making, preceding researches approach trying to increase rational decision -making ability based on experiences and feedback. In order to overcome bounded rationality, users interact with the machine to approach the optional situation. Differentiated from previous studies, our study focused more on characteristics of users while they use decision platforms. This study investigated the impact of quality factors on decision-making using platforms, the dimensions of systematic factors and user characteristics. Systematic factors such as platform reliability, data quality, and user characteristics such as user abilities and biases were selected, and measuring variables which trust, satisfaction, and loyalty of decision platforms were selected. Based on these quality factors, a structural equation research model was created. A survey was conducted with 391 participants using a 7-point Likert scale. The hypothesis that quality factors affect trust was proved to be valid through path analysis of the structural equation model. The key findings indicate that platform reliability, data quality, user abilities, and biases affect the trust, satisfaction and loyalty. Among the quality factors, group bias of users affects significantly trust of decision platforms. We suggest that quality factors of decision platform consist of experience-based and feedback-based decision-making with the platform's network effect. Through this study, the theories of decision-making are empirically tested and the academic scope of platform-based decision-making has been further developed.

• Convergence Security Journal
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• v.22 no.3
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• pp.3-11
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• 2022

With increasingly sophisticated cyber threats, accelerating cloud adoption, and the adoption of remote and hybrid work environments due to the COVID-19 pandemic, the traditional security model, in which many businesses implicitly trust everything within their boundaries, is changing without boundaries, allowing data and users The concept of zero trust is getting more and more attention as the fact that it is not suitable for today's increasingly decentralized environment has been highlighted. Zero Trust is a cyber security model on the premise that 'no one trusts'. In principle, there is no safe area or user in the entire system, and internal users are also verified. is a way As telecommuting becomes commonplace due to the COVID-19 pandemic, and existing cyber security measures are facing limitations, Zero Trust technology is drawing more attention. Accordingly, it is expected that the Korean government will also check the status of acceptability of the domestic public and private sectors and tasks that need improvement when introducing Zero Trust with reference to the NIST standard. In this paper, the basic principles, philosophy, and considerations of Zero Trust and Zero Trust are explained, and practical basic measures to strengthen security by combining Zero Trust technology are presented.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.6
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• pp.420-433
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• 2023

With the development of ICT technologies, various systems and services based on data have been introduced. Also, raising the importance of technologies that provide trust to a data, infrastructure, and services. for ICT services. However, in the existing ICT service environment, there is no way to objectively judge and manage the trust of various components (content, infrastructure, process, service provider, etc) that constitute a specific service, and there is a limitation that we can only rely on the service provider's own quality standards. This paper provides requirements, functional archtecture, and procedures for providing reliable ICT services from the perspective of ITU-T international standards. Trust-enabled service provisioning adds additional functions for providing trust to existing ICT service entities (service resources, stakeholders, and users), collecting, analyzing, and providing trust related information. Therefore, a users can consider the trust of various service components based on analyzed trust information based on their trust requirements.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.3
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• pp.1570-1594
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• 2017

Social network services have recently changed from environments for simply building connections among users to open platforms for generating and sharing various forms of information. Existing user reputation computation methods are inadequate for determining the trust in users on social media where explicit ratings are rare, because they determine the trust in users based on user profile, explicit relations, and explicit ratings. To solve this limitation of previous research, we propose a user reputation computation method suitable for the social media environment by incorporating implicit as well as explicit ratings. Reliable user reputation is estimated by identifying malicious information raters, modifying explicit ratings, and applying them to user reputation scores. The proposed method incorporates implicit ratings into user reputation estimation by differentiating positive and negative implicit ratings. Moreover, the method generates user reputation scores for individual categories to determine a given user's expertise, and incorporates the number of users who participated in rating to determine a given user's influence. This allows reputation scores to be generated also for users who have received no explicit ratings, and, thereby, is more suitable for social media. In addition, based on the user reputation scores, malicious information providers can be identified.