• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.485-499
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• 2014

Sharing Economy is the modern main item with ICT Development. Of course sharing economic item is the old and long run mainstream, but by the ICT technological development sharing economy is the fostering and affluent factors in the world economic growth. Though, in Korea, till now sharing economy is minimal, that will growth sharply. We can track various business models of sharing economy. Sharing economy is to buy use right not ownership. With the sharing economic business model wee can make also financial sharing model. In finance model we can divide two kind models. First, we can trace small size lending model with p2p type. And second, we can make financial information transaction model. But till now sharing economic system is not activated, because of many reasons. To activate, first we have to set law and various standards, and also government actively support many sharing economy firms and institutions. To catch up developed countries in the field of sharing economy we have to make aggressive and flexible rules and standards.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.7
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• pp.3268-3283
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• 2018

With the advent of the Information Age, the source identification of digital images, as a part of digital image forensics, has attracted increasing attention. Therefore, an effective technique to identify the source of digital images is urgently needed at this stage. In this paper, first, we study and implement some previous work on image source identification based on sensor pattern noise, such as the Lukas method, principal component analysis method and the random subspace method. Second, to extract a purer sensor pattern noise, we propose a sample selection method to improve the random subspace method. By analyzing the image texture feature, we select a patch with less complexity to extract more reliable sensor pattern noise, which improves the accuracy of identification. Finally, experiment results reveal that the proposed sample selection method can extract a purer sensor pattern noise, which further improves the accuracy of image source identification. At the same time, this approach is less complicated than the deep learning models and is close to the most advanced performance.

• Asian Journal of Innovation and Policy
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• v.8 no.1
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• pp.1-30
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• 2019

The advent of digitalisation has transformed economies into more integrated, but increasingly complex systems. This new trend has brought dynamic changes in the manufacturing sector through advanced ICT infrastructure, smart factories, digitally-controlled logistics, and skilled ICT-labour. The impacts of the digital economy on manufacturing could be best illustrated through "Industry 4.0." With this wave of technological advancement, countries aim to establish an industrial ecosystem where every manufacturing process and function is connected and interacts through digital networks. Industry 4.0 presents opportunities for Emerging Asia, as the region has emerged as a fast-growing manufacturing hub and particularly a production base for ICT goods. However, growing production capacity, increased exports, and increases in FDI in the field of ICT goods manufacturing have so far contributed little to the development and diffusion of ICT. A huge gap exists in the ICT uptake amongst countries and between small and large firms. This paper highlights the level of Industry 4.0 readiness of Emerging Asia and key factors that determine its enhancement.

• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.1-11
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• 2024

Payment systems are evolving, and this study examines how blockchain and AI improve online transactional security and service quality. The study examines micro and macro payment systems, compares online, and offline methods all over the world. The study also examines how blockchain and AI affect payment system security, privacy, and efficiency globally and rapidly digitizing economy. Digital payment methods are growing all over the world with high literacy and digital engagement, but they face challenges. The research highlights cybersecurity threats and the need to balance user convenience and security. It suggests blockchain and AI improve online payment services, supporting the policies for different countries. In this extensive research survey, we compare and evaluate the strengths and weaknesses of various payment systems, their practicality, and their robustness. This study also examines how technological innovations and payment systems interact to reveal how blockchain and AI could transform the financial sector. It seeks to understand how technology-enhancing service quality can boost customer satisfaction and financial stability in the digital age. The findings should help policymakers, financial institutions, and technology developers optimize online payment systems for a more secure and efficient digital economy.

• Management & Information Systems Review
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• v.34 no.1
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• pp.21-34
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• 2015

In the digital economy praising innovation, entrepreneurship has been strongly admired because it works as a foundation for successful innovation. In this paper, I will focus on the entrepreneurial attitude within an organization because the purpose of this paper is to clarify the organizational mechanism to facilitate the career starters' entrepreneurship in the digital age. From a psychosocial perspective, career starters seem to be so vulnerable and unstable because they are in their 20s as the most turbulent period during lifetime. For this reason, entrepreneurship for career starters needs to be reconsidered in terms of the uniqueness of young novice workers. While hierarchical organizational structure such as "atelier" is suggested in this paper, trustworthy leadership should be a basis of teamwork between veterans and novices.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.8
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• pp.950-958
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• 2019

Digital Social Innovation, social innovation utilizing digital technology, is gaining attenntion as an innovative new way of solving pressing social problems such as ageing, traffic, unemployment etc. while some raise concerns as to the negative impact of digital technology on society associated with Share-the-Scraps-economy and On-demand-economy. The paper aims to address these concerns by examining the nature and source of business values generated in digital social innovation. Donation, cooperation/solidarity and sharing are identified as sources of business value from social innovation. Digitization, Platform may present infrastructure upon which efficiency of economic transaction can be elevated. The participation of consumers/users in the value chain and value network enabled by digital technology is identified and discussed as the critical source of business value in digital social innovation. The business model of Docksan-dong Happy Parking Street living lab project is analysed to illuminate the realization of business vaules in real life setting. Policy recommendations and future research directions are suggested.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.161-175
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• 2021

This study analyzed the efficiency and influence factors according to the main research institute type of R&D Program for the local community problem-solving. This study applied data envelopment analysis (DEA) method and Tobit regression analysis by using 20 institutions that participated in R&D Program. The results are summarized as follows. First, Analysis results according to the research institute type of R&D project, Efficient DMUs showed more regional innovation institutions than social economy enterprises. But regional innovation institutions were the lowest in the CCR and BCC model. However, efficiency dose not differ between regional innovation institutions and social economy enterprises. Second, as a result of the analysis relation between efficiency and allocation characteristics of R&D input, the participation of regional innovation organizations as participating organizations has a negative effect on efficiency. It was found that the higher the proportion of government subsidies and the higher the employment rate of the vulnerable, which is a social achievement, the positive effect on efficiency. The implication of this study is that the participation of social economy enterprises as the main R&D institution and government R&D support can provide social economy enterprises with opportunities to accumulate R&D capabilities and experience successful commercialization.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2002.05b
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• pp.19-33
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• 2002

그 동안 R&D와 관련된 많은 연구는 다양한 성장모형을 이용해 경제성장과 연구개발 투자사이의 관계를 보이는데 중점을 두어왔으나, 디지털 경제에서의 지식 혁신에 의한 R&D활동의 성장패턴을 보이는 연구는 이루어지지 않고 있다. 따라서 본 연구에서는 IT기업의 생산과정에서 R&D활동에 따른 비중의 변화가 생산성을 증가시키는 성장의 패턴을 다양하게 할 수 있음을 보이고자 한다.

• Journal of Korea Technology Innovation Society
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• v.5 no.1
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• pp.16-25
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• 2002

그 동안 R&D와 관련된 많은 연구는 다양한 성장모형을 이용해 경제성장과 연구개발 투자사이의 관계를 보이는데 중점을 두어왔으나, 디지털 경제에서의 지식 혁신에 의한 R&D활동의 성장패턴을 보이는 연구는 이루어지지 않고 있다. 따라서 본 연구에서는 W기업의 생산과정에서 R&D활동에 따른 비중의 변화가 생산성을 증가시키는 성장의 패턴을 다양하게 할 수 있음을 보이고자 한다.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.133-141
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• 2021

Recently, the number of seniors who engage in social and economic activities through digital platforms is increasing. Through this, they are building new social networks or creating profits. Therefore, this study aimed to conduct an in-depth interview with 17 seniors who are engaged in social and economic activities on a digital platform. This study examined their motivation and experience in detail through in-depth interviews. As a result of the study, three subjects (motivation for participation, evaluation and performance of activities, and requirements for stable activities) were derived. The results of this study are predicted to contribute to preventing social isolation of seniors by mediating digital platforms in the future and inducing them to become subjects of the digital economy.