• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.4
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• pp.61-72
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• 2018

The purpose of this study is to analyze the impact of quality and satisfaction of mobile telecommunication service on the quality data sharing for mobile telecommunication service. Based on the theory of reasoned action(TRA), we proposed a research model that (1) service qualities significantly influence the service satisfaction and the attitude towards information sharing, (2) the attitude towards information sharing mediates between service satisfaction and the intention of information sharing, and (3) the intention of information sharing is affected by the service satisfaction and the attitude towards information sharing. Empirical analysis of mobile service users showed that the data quality of mobile communication services had a greater impact on satisfaction than voice quality. The service satisfaction had a positive effect on attitude towards information sharing and the intention of information sharing. Also, the attitude towards information sharing had a positive impact on the intention of information sharing. Based on this empirical study, we proposed a crowdsourcing as an alternative when quality data of mobile telecommunication service should be collected to improve telecommunication policy because by using collective intelligence of the crowdsourcing the government can gather more accurate and diverse data on mobile telecommunication service.

• Electronics and Telecommunications Trends
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• v.37 no.4
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• pp.11-18
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• 2022

Sharing vehicle data among the companies within a car ecosystem can improve driving experience, increase driver comfort, contribute to social goals such as improving road safety and lowering fuel consumption. Furthermore, by participating in the ecosystem, companies can secure long-term and sustainable new revenue-generating opportunities. In this paper, we will examine the bottleneck and success factors of data sharing, as well as the technological solutions that urgently require development for car data sharing.

• The Journal of Industrial Distribution & Business
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• v.12 no.5
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• pp.37-46
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• 2021

Purpose: The purpose of this paper is to explore factors that affect electric car-sharing by highlighting issues of environmental sustainability and customer attitude and satisfaction. Research design, data and methodology: This study examined customers' perception on those issues by using electric car-sharing as usages of both electric car and car-sharing play a key role to improve sustainability. Online survey was applied to collect the data. This study also applied factor and regression analyses for data analysis. Results: The results of this study showed that effects of proposed factors including cost efficiency, emotion, safety, health, and sustainability on attitude toward electric car-sharing on attitude were significant. The results also showed that the effects on intention, satisfaction, and loyalty were significant. Conclusions: This study provides policy and managerial implications. By dealing with factors of electric car-sharing service, this study offers necessity of better strategies and policies for electric car-sharing service to electric car businesses and policy makers. This study also suggests that businesses should develop appropriate strategies for the improved usage of electric car-sharing by considering sustainability and improving relationships with customers. Further, government should consider to develop proper policies for sustainability by promoting the usages of electric car-sharing.

• Journal of the Korean Society for information Management
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• v.40 no.3
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• pp.25-54
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• 2023

At a time when open data receives attention as an international trend, there is a need to discuss the role of international journals in Korea to support data sharing. Based on surveys and interviews of editors from the international journals, we identified factors affecting the policy adoption and examined the journal editors' perception on the adoption and components of the data sharing policy. As a result, scholarly journals that have adopted or are planning to adopt policies have recognized that data sharing is an international trend and can contribute to research development, but they stressed that efforts to improve the perception of data sharing were still necessary. Educational activities and compensation for sharing data were needed at scholarly journals' and communities' level. Also, components perceived important and selected by more than half of the editors as mandatory were 'data availability statement', 'data sharing level', 'data sharing method', and 'data citation'. While scholarly journals do not always need to mandate data sharing, it was necessary to mention conditions where data cannot be shared through data availability statements. The role of the organization developing and operating a repository appropriate for situations in Korea was also emphasized. In addition, by identifying factors affecting the policy adoption, significant differences were found in Journal Impact Factor quartiles, publication type, and subject area. This finding indicated that journals with a high impact factor are likely to have resources to support data sharing, and open access or hybrid journals are likely to have interest in open data as a part of open science. In the medical research area, active movements for data sharing in academic communities have promoted the adoption of data sharing policies. This study would be used as basic data to facilitate the adopton and operation of scholarly journals' data sharing policies in Korea.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.311-313
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• 2023

딥러닝에 대한 관심이 증가함에 따라 다양한 분야의 연구자 사이에 딥러닝 모델의 적용 및 재현이 중요한 작업으로 자리잡았다. 하지만 모델을 재현하고 활용하는데 있어 다양한 환경과 자원의 한계가 발생하여 문제가 되고 있다. 이러한 문제를 해결하기 위해 본 논문에서는 국가연구데이터커먼즈체계인 KRDC 프레임워크를 활용하여 딥러닝 학습 모델의 재현 방안을 제안하였다. 이를 통해 딥러닝 연구에 익숙하지 않은 사용자도 학습 모델의 적용 및 활용을 용이하게 할 수 있음을 확인하였다. KRDC 프레임워크는 사용자가 원하는 데이터와 태스크를 정의하고, 워크플로우로 구성, 학습 모델의 재현 및 활용을 지원한다.

• Journal of Information Science Theory and Practice
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• v.10 no.spc
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• pp.25-38
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• 2022

Research data means data used or created in the course of research or experiments. Research data is very important for validation of research conducted and for use in future research and projects. Recently, convergence research between various fields and international cooperation has been continuously done due to the explosive increase of research data and the increase in the complexity of science and technology. Developed countries are actively promoting open science policies that share research results and processes to create new knowledge and values through convergence research. Communities to promote the sharing and utilization of research data such as RDA (Research Data Alliance) and COAR (Confederation of Open Access Repositories) are active, and various platforms for managing and sharing research data are being developed and used. OpenAIRE (Open Access Infrastructure for Research In Europe), a research data platform in Europe, ARDC (Australian Research Data Commons) in Australia, and IRDB (Institutional Repositories DataBase) in Japan provide research data or research data related services. Korea has been establishing and implementing a research data sharing and utilization strategy to promote the sharing and utilization of research data at the national level, led by the central government. Based on this strategy, KISTI has been building a Korean research data platform (DataON) since 2018, and has been providing research data sharing and utilization services to users since January 2020. This paper reviews the characteristics of DataON and how it is used for research by showing its applications.

• Journal of Distribution Science
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• v.20 no.1
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• pp.41-53
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• 2022

Purpose: This study has three main purposes: first, to examine the effect of transactional leadership on knowledge sharing and innovative work behavior. Second, to examine the effect of knowledge sharing on innovative work behavior. Third, to examine the mediating role of knowledge sharing in the relationship between transactional leadership and innovative work behavior. Research design, data and methodology: The quantitative method is considered appropriate for this study, and a questionnaire is used to collect data from a total of 107 employees who participated in the study. The SmartPLS-SEM version 3.0 is used to analyze data. Results: The results reveal that transactional leadership has a positive and significant effect on knowledge sharing. However, transactional leadership directly has no significant effect on innovative work behavior. In addition, knowledge sharing positively and significantly affects innovative work behavior. This finding demonstrates that knowledge sharing becomes an essential mediator of transactional leadership and innovative work behavior in distribution market. Conclusions: This study makes a novel contribution by unboxing the limited understanding of the effect of transactional leadership on innovative work behavior mediated by knowledge sharing in the lens of social exchange theory. Also, this study highlights that transactional leader develops bonding and willingness among employees to share their knowledge to foster innovative work behavior.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.4 no.6
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• pp.1237-1252
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• 2010

This paper proposes an intelligent technique for data sharing and event transition among personal devices including smart phones, laptops, and desktops. We implemented the PES (Personal Event Service) system that proactively executes appropriate tasks across multiple devices without explicit user requests by sharing the data used by the user and recognizing user intention based on the observed actions of the user for specific devices. The client module of PES installed on each device monitors the user actions and recognizes the intention of the user. The server provides data sharing and maintenance for clients. The connection between client and server is established by Java RMI (Remote Method Invocation). A series of experiments were performed to evaluate user satisfaction and system accuracy, and the results showed that the PES system can proactively provide appropriate, personalized services with a high degree of satisfaction to the user in an effective and efficient manner.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.15 no.4
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• pp.61-70
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• 2005

We propose and implement a flexible secure peer-to-peer(P2P) file sharing scheme which can be used for data sharing among closed user group (CUG) members. When a member wants to share data, notification messages are sent to the members with whom the member wants to share data. Each notification message includes one-time password encrypted with the receiver's public key. A member who received the notification message can download the data by using the one-time password. The proposed scheme provides selective sharing, download confirmation and efficient storage management. In terms of security, the proposed scheme supports authentication, entity privacy, replay attack protection and disguise prevention. We also implement the proposed system and find that the system is very useful among P2P service of closed user groups.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.7
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• pp.2703-2718
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• 2015

Nowadays, public cloud storage is gaining popularity and a growing number of users are beginning to use the public cloud storage for online data storing and sharing. However, how the encrypted data stored in public clouds can be effectively shared becomes a new challenge. Proxy re-encryption is a public-key primitive that can delegate the decryption right from one user to another. In a proxy re-encryption system, a semi-trusted proxy authorized by a data owner is allowed to transform an encrypted data under the data owner's public key into a re-encrypted data under an authorized recipient's public key without seeing the underlying plaintext. Hence, the paradigm of proxy re-encryption provides a promising solution to effectively share encrypted data. In this paper, we propose a new certificate-based proxy re-encryption scheme for encrypted data sharing in public clouds. In the random oracle model, we formally prove that the proposed scheme achieves chosen-ciphertext security. The simulation results show that it is more efficient than the previous certificate-based proxy re-encryption schemes.