• The KIPS Transactions:PartC
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• v.18C no.6
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• pp.369-378
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• 2011

To ensure data confidentiality and fine-grained access control in business environment, system model using KP-ABE(Key Policy-Attribute Based Encryption) and PRE(Proxy Re-Encryption) has been proposed recently. However, in previous study, data confidentiality has been effected by decryption right concentrated on cloud server. Also, Yu's work does not consider a access privilege management, so existing work become dangerous to collusion attack between malicious user and cloud server. To resolve this problem, we propose secure system model against collusion attack through dividing data file into header which is sent to privilege manager group and body which is sent to cloud server. And we construct the model of access privilege management using AONT based XOR threshold Secret Sharing, In addition, our scheme enable to grant weight for access privilege using XOR Share. In chapter 4, we differentiate existing scheme and proposed scheme.

• Health Policy and Management
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• v.21 no.4
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• pp.599-616
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• 2011

This research was performed to investigate the determination factors of medical service to cover the fee for selecting a doctor which is one of the most important causes of debilitating national health insurance in Korea. Data was from Korea Health Panel and analyzed by Dutton(1986)'s medical service model which was an extended Anderson Model and was widely used in the researches on determination factors of medical service. The results were as follows; In the determinants of selecting a doctor in specialized medical institutions and general hospitals, patients with serious diseases selected doctors more often than other patients. By industrial accident compensation insurance law and enforcement ordinances, insurance covers the fee of selecting a doctor in the hospitals appointed by Labor Welfare Corporation for the patients in critical conditions under industrial accident compensation insurance, while health insurance patients pay the fee themselves for selecting a doctor in all cases. It is suggested that patients with serious diseases proved by medical opinion be provided with health care insurance in selecting a doctor and that the health insurance benefit coverage be enhanced by staged lowering of patient's cost-sharing.

• Journal of Contemporary Eastern Asia
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• v.17 no.2
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• pp.200-221
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• 2018

Open Science is an umbrella term that involves various movements aiming to remove the barriers to sharing any kind of output, resources, methods or tools at any stage of the research process. While the study of open science is relatively advanced in Western countries, we know of no scholarship that attempts to understand open science in Hong Kong. This paper provides a broad-based background on the major research data management organisations, policies and institutions with the intention of laying a foundation for more rigorous future research that quantifies the benefits of open access and open data policies. We explore the status and prospects for open science (open access and open data) in the context of Hong Kong and how open science can contribute to innovation in Hong Kong. Surveying Hong Kong's policies and players, we identify both lost research potential and provide positive examples of Hong Kong's contribution to scientific research. Finally, we offer suggestions regarding what changes can be made to address the gaps we identify.

• Journal of Korea Technology Innovation Society
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• v.16 no.1
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• pp.63-100
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• 2013

Research data means data in the form of facts, observations, images, computer program results, recordings, measurements or experiences on which an argument, theory, test or hypothesis, or another research output is based. Data may be numerical, descriptive, visual or tactile. Scientific research is changing because of the paradigm shift. It is all being affected by the data deluge, and a data-intensive science paradigm is emerging. Hence, paradigm shift in scientific research led to increase of value and importance of scientific data. Essential to the creative research and development for scientific data can be reused efficiently is the sharing and utilization of establishing management system. Establishing of management system for sharing and utilization of scientific data should be done at the national level, but compared with Europe, Australia, the United States, China, the management system of Korea doesn't have not linkage or efficiency or internal stability. Australia, the United States, China continues to expand a Mid- and Long-Term policy making, legislation, its investment in infrastructure, so as to promote the utilization of data, such as collection, management and maintenance of scientific data through the relevant agencies at the national level. This study consider legislation cases and management policies of the above countries to the end to that establish management system for the efficient and fair sharing and utilization of scientific data and the legal system, and that provide scientific data legislation and policies related to the future of our country.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.91-98
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• 2018

This study was conducted to verify the mediating effect of knowledge sharing activity on the effect of trust between consultants on consulting satisfaction during consulting collaboration process. Regression analysis was performed using SPSS 23 based on the survey data. The results showed that trust between consultants had significant effects on knowledge sharing and on consulting satisfaction. Knowledge sharing activities partially mediated the effects of trust between consultants on consulting satisfaction. Further research is required to find out the various factors that are needed to further enhance competence and knowledge sharing for consultants in order to facilitate collaborative work in a rapid change of management environment.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.193-200
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• 2018

Recently, there are high expectations of a society benefitting from a digital sharing economy. However, to establish a digital sharing economy, one needs to first create a reliable social structure. Transparency is recognized as the most important measure of value in not just politics or economics, but also in all domains of our lives. Although all nations strive to create "societies based on credit and trust," in truth, rigidity, irregularity, corruption, and inefficiency are widespread in all aspects of society. Thus, there is a growing interest in blockchain technology, also called the "second Internet revolution," seeking trust in digital environments, although it is difficult to obtain trust in such environments. However, the principles and methods of evaluating blockchain technologies are still unclear and not standardized. This study addresses the evaluation indexes such as transaction per second, maximum data size per one transaction, accuracy and blockchain technology application methods in the digital sharing economy and suggest ways to safely vitalize a blockchain-based digital sharing economy.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.213-223
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• 2019

This study aims to prove the relationship between a TPB(theory of planned behavior) variables (subjective norms, attitudes, and self-efficacy), need to belong and personal growth initiatives to explain the reasons for users' shared behavior. 959 participants who had shared online video were collected as a sample through an online survey and the collected data were analyzed through structural equation modeling. The study found that need to belong affected attitudes to online video sharing and subjective norms, and that personal growth initiative also affected attitudes to online video sharing and self-efficacy. In addition, all three variables of TPB were affect the intend of online video sharing, and attitudes to online video sharing were affecting subjective norms and self-efficacy. This study is meaningful in that it demonstrated the user's intention to share online video through variables of TPB along with their need to belong and personal growth initiatives.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.4
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• pp.229-247
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• 2022

As part of open science, the government adopts a national research data sharing and utilization strategy, forms a governance system at the national level, and promotes policies for research institutes to implement. Although the policy for managing research data is carried out centering on the academic world, it is insufficient compared to developed countries, and even this is a reality in which researchers do not have enough awareness to introduce it to the field. The purpose of this study is to understand the research data management status of researchers in each academic field. Academic fields consisted of four fields including Library and Information Science, Statistics, Ecology, and Korean Musicology, and the current status of data management was identified through a survey. The current status of research data management was analyzed from the perspective of research data production, sharing and management, saving, preservation and reuse. As a result of the study, it was found that there were differences by discipline in terms of data production, data sharing and management, data preservation, and data reuse, except for data savings.

• Journal of the Korean Society for information Management
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• v.36 no.4
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• pp.227-251
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• 2019

In early 2019, Korea passed the law that introduced data management plan policy similar to those adopted by national funding agencies in other countries. In anticipation of developing research data infrastructure and support services, this study analyzed Australia's relevant policies and policy instruments. A number of face-to-face interviews with the experts at the national funding agency, a national research data agency and a number of research libraries, along with focused literature analysis. In Australia, the 2015 Public Data Policy is applied to research data from publicly funded research. Research data management and sharing is recommended but not required by the national funding agency it its policy documents. Australian National Data Service(ANDS), Australia's national research data agency, is an important component of the national research infrastructure. ANDS plays a wide range of roles including research data platform development, education and training, policy support, and funding agency for small-scale R&D. Some of the Australian research libraries have developed in-house systems for research data storage and publishing. However, there is no significant demand for research data service as yet. Lessons learned include the following: ensuring transparency and predictability of research data policies, establishing a dedicated agency responsible for research data platform development and training, and cultivating data capabilities at research libraries.

• Korean Journal of Computational Design and Engineering
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• v.13 no.4
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• pp.243-254
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• 2008

As modular production becoming increasingly widespread in globalized manufacturing industries, sub modules or parts of the final product are being provided by many suppliers. Some part suppliers design their own products for themselves. In some cases, part suppliers provide the same type of product to multiple OEM companies. Because all part suppliers and OEM companies typically cannot use the same CAD system, engineering change in the CAD model of one company cannot be directly propagated to related CAD models of other companies. Even if two companies use the same CAD system, it may be difficult to share their CAD model owing to corporate security policy. In this paper, a neutral reference model that consists of a neutral skeleton model and an external reference data model is proposed as a new medium for the sharing and propagation of engineering change information among collaborating companies.