• Journal of Korea Port Economic Association
• /
• v.27 no.3
• /
• pp.13-39
• /
• 2011

Many previous studies on the subject of supply chain have consistently claimed that they need collaboration among the partners of supply chains in order to enhance supply chain performance. The purpose of research is to examine the causal linkages among relational characteristics, collaboration, performance in the logistics firm and this research focuses on two types collaboration(operational collaboration and strategic collaboration) as the mediation variable between relational characteristics and supply chain performance. To test the above research questions, we collected data from logistics firm(N=164). The proposed structural model was tested using the PLS(Partial Least Square) statistical program. The research results are as follows. Trust, and information sharing have positive influences on operational collaboration, and operational collaboration have also positive influences on supply chain performance. Duration and information sharing have positive influences on strategic collaboration. However, strategic collaboration has non-positive influences on supply chain performance. The effect of relational characteristics on supply chain performance is mediated by operational collaboration.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.10
• /
• pp.73-80
• /
• 2018

The shared economy began with the concept of sharing the physical and intellectual assets of individuals with others. Nowadays, the concept of shared economy is becoming one of the industries as an enterprise type. Especially, with the development of the Internet and smart devices, various forms of shared economy have been developed in accordance with the need of sharing of individual income. Digital content is also a shareable commodity and it is seeking to utilize it as an item of shared economy. Accordingly, when digital contents are used as a shared economy, there are various possible threats -security threats that may arise in the course of transactions, potential for theft, alteration and hacking of contents. In this paper, we propose transaction method and content protection method using block chain-ethereum technology to reduce security threats and transparent transactions that can occur in digital contents transactions. Through the proposed method, the trust of the consumer and the supplier can be measured and the encryption can be performed considering the characteristics of the data to be traded. Through this paper, it is possible to increase the transparency of smart transaction of digital contents and to reduce the risk of content distortion, hacking, etc.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.10
• /
• pp.19-28
• /
• 2021

The present study aims to evolve the value cycle of e-business through value co-creation during the Coronavirus pandemic. The population of the study is experts consisting of university professors in the fields of marketing management, e-commerce, and managers of organizations and companies in Iran. Using the snowball sampling method, 50 of them were selected as the sample. This study employs the factor analysis method and structural equation modeling (SEM) approach for identification of the factors. The findings of this study reveal that 10 factors affect the evolution of the value chain into the value cycle, including customer relationship management, e-literacy, value co-creation, e-readiness, and integrated value creation, the logic of service dominance, shared value creation, virtual culture, e-trust, and network economics. Despite the difficulties that COVID-19 has created for businesses worldwide, the evolution of the e-business value cycle through value co-creation in the Coronavirus pandemic can be considered as a positive aspect of the pandemic. In fact, with more pandemics and more customers turning to e-businesses due to the co-creation of customer value, e-businesses can cover their weaknesses and improve their strengths by engaging customers and receiving their feedback, thus transforming their value chain into the value cycle.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.11
• /
• pp.465-476
• /
• 2020

This study used social network analysis to analyze trends and the knowledge structure of research in international trade. To this end, 4,840 keywords were extracted and analyzed from 1,797 papers contained in the Journal of Int'l Trade and Industry Studies, the Korea Trade Review, and the Journal of Korea Trade from 2003 to 2019. The results reveal that the distribution of keywords in the trade studies, as with other intellectual networks, followed a power-law distribution. Some differences were observed in the top 20 keywords across journals, with total factor productivity, economic growth, and Korea-US FTA ranking high only in the Journal of Int'l Trade and Industry Studies. Global value chain and trust emerged as a topic that attracted new researchers' attention in the 2011-2019 period. Interest in E-Trade, WTO, and internationalization has declined in recent years. The conventional international trade research trend analyses have predominantly featured qualitative analysis by descriptive method in general, but this study is meaningful in that it employs quantitative analysis using social network analysis techniques.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.10
• /
• pp.159-165
• /
• 2020

The demand for food safety has emerged as a major social issue due to changes in diet patterns and consumers' perceptions, along with the advancements in society and the development of the food industry. Consumers are demanding more information about the food they consume, and are sensitive to food scandals. With such interest in food safety, blockchain technology is attracting attention as a means of effectively responding to poor food management resulting in food fraud or unsafe distribution. By ensuring the accuracy of, and trust in, traceability in the food supply chain, it is possible to build trust between traders and to ensure safe food distribution. This paper proposes a next-generation agri-food distribution system that can provide and manage (for suppliers, consumers, and distribution officials) a variety of agri-food information, such as the history, distribution, safety, quality, and freshness of food. Information on product status and distribution status in all processes, including production, processing, distribution, sales, and consumption, can be monitored and controlled in real time (anytime, anywhere), and users can check the safety level of each type of food in real time through an app.

• Journal of Internet Computing and Services
• /
• v.21 no.1
• /
• pp.17-31
• /
• 2020

With the rapid development of block chain technology, attempts have been made to put the block chain technology into practical use in various fields such as finance and logistics, and also in the public sector where data integrity is very important. Defense Operations In addition, strengthening security and ensuring complete integrity of the command communication network is crucial for operational operation under the network-centered operational environment (NCOE). For this purpose, it is necessary to construct a command communication network applying the block chain network. However, the block chain technology up to now can not solve the security issues such as the 51% attack. In particular, the Practical Byzantine fault tolerance (PBFT) algorithm which is now widely used in blockchain, does not have a penalty factor for nodes that behave maliciously, and there is a problem of failure to make a consensus even if malicious nodes are more than 33% of all nodes. In this paper, we propose a Adaptive Consensus Bound PBFT (ACB-PBFT) algorithm that incorporates a penalty mechanism for anomalous behavior by combining the Trust model to improve the security of the PBFT, which is the main agreement algorithm of the blockchain.

• The Journal of the Korea Contents Association
• /
• v.18 no.6
• /
• pp.324-332
• /
• 2018

Blockchain technology has the potential to revolutionize trust models and business processes in a variety of industries. However, it is considered to be the initial stage of the system that pursues autonomy rather than efficiency, and it is necessary to monitor and inspect the distributed ledger technology from the price and introduction time as compared with the existing relational DB transaction technology. However, domestic and foreign private sectors have already been activated by applying block-chain technology in the national domain, and the block chain is devoid of doubt that it is an exaggerated technology, characterized by the invariance of the record, transparency, and autonomous execution of business rules. It has begun to be utilized in history, identity, certification and auditing in the financial industry as well as various industries. In this paper, we analyze the problems such as security weakness, insufficient regulatory environment, technical consensus and lack of common standard. In addition, the business sense and possibility of the block chain technology is expected to be the innovation of the industrial ecosystem by entering into the reality system from the concept through monitoring the actual introduction performance in the field of copyright, logistics, health care and environment.

• Journal of Digital Convergence
• /
• v.16 no.8
• /
• pp.201-210
• /
• 2018

High expectations are posed on the blockchain-based internet of things (IoT), in which IoT and blockchain technology is combined to obtain trust in the Internet, where trust appears impossible to obtain. However, applications of current blockchain-based IoT technology to real-world scenarios appears to be significantly more difficult owing to limitations regarding scalability and security. In this paper, the difficulties to implement blockchain networking technologies for IoT and digital businesses are investigated and practical solutions such as sharding, off-chain, de-idetification and P2P crypto-currency exchange are explored. In further work, a blockchain platform for IoTs which provides scalability and security will be implemented according to this research results, and compared with conventional blockchain platforms.

• Journal of Digital Contents Society
• /
• v.19 no.5
• /
• pp.935-944
• /
• 2018

The purpose of this study is to investigate the impact of Airline Partner Organization members ' perception of supply chain management characteristics on the satisfaction of the relationship and to verify the parameter effectiveness of collaboration. An empirical study was conducted through survey techniques to achieve the objectives of the study. Research has shown that the factors for building trust, immersion, and sharing of vision tables, other than information sharing, are significant prerequisites for collaboration. We have identified statistically significant effects of collaborative factor on relationship satisfaction factor. Additionally, it was confirmed that there was a parameter effect between supply chain management characteristics recognition and relationship satisfaction by testing the effectiveness of the collaboration.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.6 no.9
• /
• pp.2285-2301
• /
• 2012

Peer-to-Peer (P2P) networks are becoming more and more popular in video content delivery services, such as Video on Demand (VoD). Scalability feature of P2P allows a higher number of simultaneous users at a given server load and bandwidth to use stream service. However, the quality of service (QoS) in these networks is difficult to be guaranteed because of the free-riding problem that nodes download the recourses while never uploading recourses, which degrades the performance of P2P VoD networks. In this paper, a distributed trust model is designed to reduce node's free-riding phenomenon in P2P VoD networks. In this model, the P2P network is abstracted to be a super node hierarchical structure to monitor the reputation of nodes. In order to calculate the reputation of nodes, the Hidden Markov Model (HMM) is introduced in this paper. Besides, a distinction algorithm is proposed to distinguish the free-riders and malicious nodes. The free-riders are the nodes which have a low frequency to free-ride. And the malicious nodes have a high frequency to free-ride. The distinction algorithm takes different measures to response to the request of these two kinds of free-riders. The simulation results demonstrate that this proposed trust model can improve QoS effectively in P2P VoD networks.