• International Journal of Computer Science & Network Security
• /
• v.23 no.11
• /
• pp.149-161
• /
• 2023

Internet of Things (IoT) is a relatively new concept that has gained immense popularity in a short period of time due to its wide applicability in making human life more convenient and automated. As an illustration: the development of smart homes, smart cities, etc. However, it is also accompanied by a substantial number of risks and flaws. IoT makes use of low-powered devices, so secure, less time-consuming and energy-intensive transmission (routing) of messages due to the limited availability of energy is one of the many and most significant concerns for IoT developers. The following paper presents a trust-based routing scenario for the Internet of Things (IoT) that exploits the past transmission record from the cupcarbon simulator's log files. Artificial Neural Network is used to quantify knowledge of trust, calculate the value of trust, and share this information with other network devices. As a human behavioural pattern, trust provides a superior method for making routing decisions. If there is a tie in the trust values and no other path is available, the remaining battery power is used to break the tie and make a forwarding decision; this is also seen as a more efficient use of the available resources. The proposed algorithm is observed to have superior energy consumption and routing decisions compared to conventional routing algorithms, and it improves the communication pattern.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.29 no.2
• /
• pp.328-339
• /
• 2005

The purpose of this study were to extract and empirically examine the effect variables on phase performance of relationship development process by identifying relationship development process between apparel store and customer. The questionnaires was asministered to 333 women frequency use of a department store, big shopping mall, discount store in Gwang-ju city during March 4-11, 2003. The data was analyzed by factor analysis, correlation analysis, and Structural Equation Model using LISREL 8.30 program. As the results, the perceived service quality with attractive factor of relationship explration phase direct positively influenced customer satisfaction among relationship expansion phases. However, relational benefit directly influenced customer satisfaction with the primary phase of relationship maintain as well as trust, customer commiment and long-term orientation. Also, customer satisfaction direct positively influenced trust, and customer' trust direct positively influenced customer commitment. Finally, the customer commitment direct positively influenced long-term orientation.

• Journal of Information Technology Applications and Management
• /
• v.28 no.6
• /
• pp.23-43
• /
• 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.

• Journal of Distribution Science
• /
• v.18 no.6
• /
• pp.93-101
• /
• 2020

Purpose: While crowdfunding functions as a purchasing behavior, it is different from other purchasing behavior. It derives from non-existed idea and leads to production and purchase through continuous idea development with participants and participants' support is a proxy for future sales. This study researches on consumption value, customer's trust and consumer's innovativeness to reveal which constructs of consumption value and customer's trust should be considered. Research design, data, and methodology: Crowdfunding participation intentions were examined using consumer's consumption value and trust of platforms as independent variables, and consumer innovation as a control variable. A total of 175 surveys were used for analysis. The hypothesis was tested using hierarchical regression analysis. Results: The results showed economic, epistemic value and ability, benevolence consumer trust to have a significant effect in crowdfunding participation intentions. The moderating effect of innovation was shown to be significant in only economic value and benevolence. Conclusions: The economic and hedonic value of consumers should be emphasized, as well as the evaluation level of the project itself. Moreover, technology or system safety, competency, and product specific information, as well as user benefits for their ideas are core elements in attracting new participants.

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

• Knowledge Management Research
• /
• v.12 no.4
• /
• pp.17-40
• /
• 2011

This study examines the differences of enacting models and influential causes of benefit-sharing practices between Korean automobile networks and the Japanese networks. The case study method is chosen for this research because only small numbers of supply networks adopt benefit-sharing practices. I employ semi-structured interviews with managers from four automobile manufacturers and eight of their suppliers in South Korea and Japan. I find that Japanese automobile networks have adopted a higher level of trust-demanding, with a higher level of value-creating models such as supplier development, joint-new-product development. Whereas, the Korean networks have adopted the lower trust demanding, also less profitable models such as supplier's suggestion and buyer's suggestion. In terms of work-related cultural values, I find that Japanese networks emphasized collectivism. Both buyers and suppliers in the Japanese networks are supposed to have common causes. In contrast, Korean networks emphasized individualism. Both buyers and suppliers of Korea generally do not identify that they are common group members with a common cause. I also find that a slight differences of the enacting models and the causes between foreign-owned networks and domestic-owned networks within each country. Foreign-owned networks have adopted lower trust demanding, also less profitable models. The findings demonstrate that the cultural values have a decisive influence on the adoption of benefit sharing models for the networks in Japan, and South Korea.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.28 no.1
• /
• pp.241-248
• /
• 2018

A Recommender System (RS) is a system that provides optimized information to users in an over-supply situation. The key to RS is to accurately predict the behavior of the user. The Matrix Factorization (MF) method was used for this prediction in the early stage, and according to the recent SNS development, social information is additionally utilized to improve prediction accuracy. In this paper, we use RS internal trust cluster, which was overlooked in previous studies, to further improve performance and analyze the characteristics of trust clusters.

• Journal of Distribution Science
• /
• v.19 no.6
• /
• pp.5-19
• /
• 2021

Purpose: O2O Service is a major internet-based distribution industry. The purpose of this study is to confirm the effects of positive psychological capital on job intensity, customer orientation, and the mediating effects of trust of O2O employee. Research design, data and methodology: This study aims to identify the effect of positive psychological capital on customer orientation and job intensity through empirical analysis. 475 questionnaires were used for the final analysis using random sampling methods from O2O employees working at leading distribution companies for hypothesis verification. The analysis methods used for hypothesis testing in this study were analyzed using the SPSS 21.0 statistical package. Results: Empirical analysis shows that it is an important factor in increasing job intensity and customer orientation, and that company trust has a significant influence through mediating effects among variables. Conclusions: In order to enhance job intensity and customer orientation for O2O distribution workers, it is necessary to change efforts with management efforts for positive psychological factors and trust. It is also believed that company trust should be considered as an important factor in the future leadership competency development system in that it can promote positive psychological capital, further strengthening job intensity and customer orientation.

• Informatization Policy
• /
• v.23 no.1
• /
• pp.56-73
• /
• 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 the Korea Society of Computer and Information
• /
• v.28 no.7
• /
• pp.179-187
• /
• 2023

Consumer trust plays a crucial role in the development of the sharing economy. This study primarily focuses on the factors influencing consumer trust and examines the case of ofo, a former leader in China's bike-sharing industry. This paper analyzes the decline in consumer trust in ofo, which can be attributed to internal management issues and the near-bankruptcy situation. The "difficulty in refunds" issue faced by ofo since December 2018 has been growing continuously, and this study explores the factors influencing trust and distrust in this context. By considering product factors (quality), platform factors (payment security, privacy protection, reputation), and social factors (social norms, government regulation) as independent variables, the study analyzes the factors affecting consumer trust. The analysis results revealed that as consumers' distrust towards shared bikes increases, their switching intention also increases. The company's reputation and social norms were found to influence both trust and distrust, while government regulation was found to influence trust. The research findings provide insights relevant to sharing economy platforms and offer guidance for future studies.