• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.2060-2073
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• 2022

Cloud Computing permits users to access vast amounts of services of computing power in a virtualized environment. Providing secure services is essential. There are several problems to real-world optimization that are dynamic which means they tend to change over time. For these types of issues, the goal is not always to identify one optimum but to keep continuously adapting to the solution according to the change in the environment. The problem of scheduling in Cloud where new tasks keep coming over time is unique in terms of dynamic optimization problems. Until now, there has been a large majority of research made on the application of various Evolutionary Algorithms (EAs) to address the issues of dynamic optimization, with the focus on the maintenance of population diversity to ensure the flexibility for adapting to the changes in the environment. Generally, trust refers to the confidence or assurance in a set of entities that assure the security of data. In this work, a dynamic optimization technique is proposed to find an optimal trust weights in cloud during scheduling.

• Asia-Pacific Journal of Business
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• v.12 no.4
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• pp.313-329
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• 2021

Purpose - Digital trade, which started in the early 2000s, is showing a sharp increase due to the recent pandemic. However, despite this proliferation, users' acceptance of innovation is very slow. Cloud services are at the center of digital trade activation. This study aims to contribute to the spread of digital trade through empirical analysis of the resistance factors that hinder the use of cloud service-based digital trade using the innovation resistance theory and the status quo bias theory. Design/Methodology/Approach - In order to achieve the research purpose, this study was conducted with 171 entrepreneurs using cloud service-based digital trade. Structural equation model(SEM) was used through empirical analysis. Findings - As a result of the study, it was found that the complexity of technology, perceived risk, compatibility, and trust in service providers had a significant effect on innovation resistance, and policy trust did not affect innovation resistance. Also, security concerns and institutional trust were analyzed to have a significant effect on the trust of service providers. Research Implications - This study is meaningful to help the rapid diffusion of innovative technologies through empirical analysis of factors that lower the intention to accept cloud service-based digital trade.

• Journal of Distribution Science
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• v.21 no.12
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• pp.91-102
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• 2023

Purpose: This study analyzed the structural relationship between interaction quality and relationship satisfaction, towards providing managerial implications for effective relationship management in the B2B market. Research design, data and methodology: The following survey was conducted only if respondents had used the airline's B2C more than twice. A total of 398 copies were collected and empirical analysis was conducted using AMOS 18.0 and PASW 18.0. Results: The flexibility, quickness, and fairness that make up the interaction quality in airline B2C have been shown to have a significant impact on trust, relationship performance and relationship satisfaction. Conclusions: Usefulness, quickness, and fairness, which are sub-variables of airline B2C mutual quality, have a positive effect on trust. In addition, trust was found to have a positive effect on relationship performance and relationship satisfaction. We draw implications for the importance of interaction quality in order to strengthen and sustain relationships with users in the airline B2C distribution market. In addition, in order to build meaningful relationship performance and relationship satisfaction, interaction quality and trust level should be examined first, and interaction quality improvement should be the top goal.

• Journal of Intelligence and Information Systems
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• v.13 no.3
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• pp.119-140
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• 2007

Recommender systems enable a user to decide which information is interesting and valuable in our world of information overload. As the recent studies of distributed computing environment have been progressing actively, recommender systems, most of which were centralized, have changed toward a peer-to-peer approach. Collaborative Filtering (CF), one of the most successful technologies in recommender systems, presents several limitations, namely sparsity, scalability, cold start, and the shilling problem, in spite of its popularity. The move from centralized systems to distributed approaches can partially improve the issues; distrust of recommendation and abuses of personal information. However, distributed systems can be vulnerable to attackers, who may inject biased profiles to force systems to adapt their objectives. In this paper, we consider both effective CF in P2P environment in order to improve overall performance of system and efficient solution of the problems related to abuses of personal data and attacks of malicious users. To deal with these issues, we propose a multi-agent framework for a distributed CF focusing on the trust relationships between individuals, i.e. web of trust. We employ an agent-based approach to improve the efficiency of distributed computing and propagate trust information among users with effect. The experimental evaluation shows that the proposed method brings significant improvement in terms of the distributed computing of similarity model building and the robustness of system against malicious attacks. Finally, we are planning to study trust propagation mechanisms by taking trust decay problem into consideration.

• Culinary science and hospitality research
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• v.21 no.6
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• pp.167-181
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• 2015

The purpose of this study is to examine the effects of genuineness, usefulness, overstatement, and assentation of the smartphone majib app on trust, perceived risk, and use intention, and thereby suggest useful information for the mobile application. A survey was conducted from May 11, 2015 to June 30, 2015 targeting smartphone majib app users through convenience sampling. A total of 300 questionnaires were distributed, of which 275 were used for analysis after excluding 25 response for negligent or inappropriate responses. The results found that, first, of the review characteristics, genuineness and usefulness, assentation had positive (+) effects on trust, while overstatement had a negative (-) effect on trust. Second, of the review characteristics, only genuineness and usefulness had significant effects on perceived risk. Third, trust had a significant effect on use intention rather than on perceived risk. Fourth, trust and perceived risk had mediating effects on the relationship between the assentation of the majib smartphone app review characteristics and use intention.

• Management & Information Systems Review
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• v.29 no.4
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• pp.67-88
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• 2010

The primary purpose of this study is to examine the effects of information satisfaction on customer trust and future behavior intention in open markets. Based on relevant literature reviews, this study posits three information satisfaction characteristics, that is, seller information satisfaction, product information satisfaction, and transaction procedure information satisfaction as key determinants of customer trust and future behavior intention. And then we structured a research model and hypotheses about relationship between these variables. A total 253 usable survey responses of open market users have been employed in the analysis. The major findings from the data analyses are as follows. Firstly, all three kinds of seller information satisfaction, product information satisfaction, and transaction procedure information satisfaction have a positive influence upon customer trust. Secondly, customer trust have very significantly related to repurchase intention in open markets.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.6
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• pp.1096-1102
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• 2016

Various services have been provided due to the recent development of IT technology and widespread usage of smartphones. In recent years, Fintech service that provides financial services through mobile devices has been the trending issue. However, mobile payment services haven't been widely used. The risk factors that appear when users seek to utilize a service, in particular, is one of the biggest hinderance in the expansion of mobile payment services. The failure of gaining the trust of the consumers appear to be the continuing hinderance factor. Therefore this study is to analyse the impact of perceived risk factors on trust and continuance intention of mobile payment services. For the research purpose, we conducted survey and the research results show that most of perceived risk factors have influence on trust and continuance intention except on the impact of perceived financial risk on trust.

• Journal of the Korea Society of Computer and Information
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• v.19 no.10
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• pp.175-184
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• 2014

The purpose of this study is to examine the factors influencing purchase intention of Location-Based Services (LBS) using privacy-trust-behavioral intention model. This model tests various theoretical research hypotheses relating to LBS, privacy-trust-behavioral intention model, and Concern for Information Privacy(CFIP). The target population of this study was LBS users. Data for this study were collected from January 21 to March 20, 2014. The data were gathered from 231 questionnaire respondents with experience using LBS. Among these reponses, 21 were excluded because of missing or inappropriate data. After removing the unsuitable questionnaires, a total of 210 surveys were considered for analysis. The results of hypothesis testing are as follows. First, location awareness positively influence privacy concerns. Second, privacy concerns negatively influence trust. Finally, trust positively influence purchase intention. The results of this study will provide various implication to improve purchase intention of LBS.

• Management & Information Systems Review
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• v.33 no.1
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• pp.65-81
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• 2014

Although the study of IT services has increased in recent years, few study have focused on trust based recovery process. Additionally, users of IT services have different use purpose depending on service type. Therefore, the purposes of this research is to propose trust recovery model of smartphone applications and to examine the moderating effect of service type on the use of smartphone applications. To achieve research purposes, we suggested service failure type using the scenario technique and empirically verified by conducting survey. The results showed that the procedural justice and interpersonal justice have influence on trust and trust had an effect on the all quality factors (system, information, service quality). Also, information quality and service quality had an effect on the customer loyalty. Finally, service type had significant moderating effects on the relationship between perceived justice and quality.

• Journal of Convergence for Information Technology
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• v.9 no.11
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• pp.141-148
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• 2019

The purpose of this study is to investigate the relationship between golf leader trust, exercise flow and psychological happiness for golf practice users. This study surveyed 256 golfers. The data were used to examine the causal relationship between variables using SPSS 18.0 and AMOS 18.0. Main findings were as follows: First trust of Instructors had a positive effect on exercise flow. Second, exercise flow had a positive effect on psychological happiness. Third, trust of Instructors had a positive effect on psychological happiness. Fourth, exercise flow mediated the relationship between golf participant trust of Instructors and psychological happiness. If golf participants have higher confidence in their leaders and more commitment to exercise, the quality of life will be higher.