• Journal of Digital Convergence
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• v.18 no.6
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• pp.33-44
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• 2020

The main objective of this study is to measure the concentration and deconcentration of the domestic freight forwarding system which illustrate the development trends in this industry. In this study, Herfindal-Hirschman index (HHI), shift-share analysis (SSA), and GINI coefficient combined with Lorenz curves were employed to investigate the domestic freight forwarders. The results are as follows: first, the HHI was used to assess the concentration of domestic freight forwarders in Vietnam. The downward trend from 0.117 in 2008 to 0.083 in 2018 indicate the deconcentration of domestic freight forwarders in Vietnam. Second, the SSA results indicated that the company Transimex showed the best performance with a shift effect of million VND 1,906,515 and a ABSGR value of million VND 2,158,232. Third, the GINI index go down from 0.468 to 0.393 in 2008-2018 as follow and the Lorenz curves covered a large part which make more demonstrate the deconcentration trend of freight forwarding in Vietnam. The results show that deconcentration is a trend in 2008-2018. The results of this study provides relevant data on freight forwarders which are not easily accessible to related stakeholders.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.143-156
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• 2020

In Southern Vietnam, the competition among Inland Clearance Depot (ICD) has resulted in deconcentration tendencies and shifting share situations. However, related research on Southern Vietnam ICDs in particular and ICDs in Vietnam in general has been extremely limited. Hence, In this study, empirical research is conducted on ICDs located in southern Vietnam from 2010 to 2017. The throughput volume data of ICDs is analyzed by concentration indicators, namely the concentration ratio (CR), the Herfindahl-Hirschman Index (HHI), the Gini coefficient, the Lorenz curve, and the shift share analysis (SSA). The results of adopting all the methodologies indicate that deconcentration was the mainstream trend for ICDs in Southern Vietnam during the period of 2010-2017. The findings provide insights into the process of container terminal development and have academic and managerial implications. The strengthening of the competitiveness of Vietnamese container ports and ICDs could affect the competing Southeast Asian neighbors by facilitating the port of more shipping companies.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.65-79
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• 2020

With the rapid development of China's economy, the aviation industry, as an important part of transportation services, has undoubtedly achieved rapid development. However, there is hardly any academic work that was based on the development of the top airlines in the Chinese airline industry. Hence, this study provides empirical research that takes into account the longitudinal development of the top 20 airlines in China from 2009 to 2018. The throughput volumes (cargo and passenger) of the airlines were analyzed by concentration indicators, namely the concentration ratio (CR), the Herfindahl- Hirschman index (HHI), the Gini coefficient, and the shift-share analysis (SSA). In this paper, the top 20 airlines have been analyzed in terms of the passenger and cargo throughput from 2009 to 2018. The calculation results of CR6, HHI and the Gini coefficient show that the airlines were extremely deconcentrated. In addition, by comparing the ABSGR of passenger and cargo throughput, it is shown that China's aviation industry is dominated by four airlines- Air China, China Eastern Airlines, China Southern Airlines and Hainan Airlines. In the future study, it is necessary to explore growth strategies to find niche markets for passenger and cargo transportation.

• Journal of Internet Computing and Services
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• v.20 no.6
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• pp.119-127
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• 2019

This paper proposes a new authentication model to solve the problem of personal information takeover and personal information theft by service providers using centralized servers for user authentication and management of personal information. The centralization issue is resolved by providing user authentication and information storage space through a decentralize platform, blockchain, and ensuring confidentiality of information through user-specific symmetric key encryption. The proposed model was implemented using the public-blockchain Ethereum and the web-based wallet extension MetaMask, and users access the Ethereum main network through the MetaMask on their browser and store their encrypted personal information in the Smart Contract. In the future, users will provide their personal information to the service provider through their Ethereum Account for the use of the new service, which will provide user authentication and personal information without subscription or a new authentication process. Service providers can reduce the costs of storing personal information and separate authentication methods, and prevent problems caused by personal information leakage.

• The Journal of Society for e-Business Studies
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• v.27 no.1
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• pp.95-109
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• 2022

A blockchain based platform can ensure data integrity, reliability, and security by applying distributed processing and encryption technology for transaction records. In the existing knowledge sharing platform, the created knowledge could not be shared or utilized sufficiently due to information asymmetry and centralization. However little research has been done so far on this area. In this study, we will examine case studies and development potentials for blockchain based knowledge sharing platforms based on previous studies of blockchain technology, token economy, knowledge sharing, motivation theory, and social exchange theory. Blockchain based platforms can contribute to the activation of knowledge sharing, by resolving information asymmetry, simplifying unnecessary work procedures through unified knowledge sharing flow and excluded centralization of authority by decentralization, and strengthening access and utilization of the knowledge produced by the platform.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.12
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• pp.321-332
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• 2020

Decentralized approaches are extensively researched by academia and industry in order to cover up the flaws of existing systems in terms of data privacy. Blockchain and decentralized learning are prominent representatives of a deconcentrated approach. Blockchain is secure by design since the data record is irrevocable, tamper-resistant, consensus-based decision making, and inexpensive of overall transactions. On the other hand, decentralized learning empowers a number of devices collectively in improving a deep learning model without exposing the dataset publicly. To motivate participants to use their resources in building models, a decent and proportional incentive system is a necessity. A centralized incentive mechanism is likely inconvenient to be adopted in decentralized learning since it relies on the middleman that still suffers from bottleneck issues. Therefore, we design an incentive model for decentralized learning applications by leveraging the Ethereum smart contract. The simulation results satisfy the design goals. We also outline the concerns in implementing the presented scheme for sensitive data regarding privacy and data leakage.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.583-590
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• 2022

With the release of the Bitcoin source in 2009, cryptocurrencies are continuously developing and expanding the market. Recently, new applicability is expanding centered on NFT coin and metaverse payment service. In particular, the Central Cryptocurrency Exchange actively supports relay transactions between cryptocurrencies or between traditional fiat currencies and cryptocurrencies. The cryptocurrency trading market based on such a central exchange encouraged speculative factors of cryptocurrencies, strongly arousing speculation and futility of cryptocurrencies. In addition, the central cryptocurrency exchange induces the centralization of users and virtual assets, thereby hindering the decentralization and security enhancement strategies of the block chain. Therefore, this study describes the current status and problems of centrally controlled centralized cryptocurrency exchanges in service, and presents a distributed cryptocurrency exchange modeling strategy and major issues as a decentralization model of the exchange. This research can strengthen the anonymity, decentralization, and autonomy of cryptocurrency based on blockchain.