• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.167-184
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• 2009

New internet trend, such as Web 2.0, has brought about new roles of users and changes in the web ecosystem. In the age of information overload like nowadays, activities in the brand community sites help to make more reasonable decisions in choosing certain brands and products. In order to examine organizational strategic aspects of brand community, this study examine (1) what difference exists in user satisfaction according to the brand community types (the user-initiated type and the corporate-established type), and (2) which dimensions of service quality affect brand community users' satisfaction. Research findings show that types of brand community influence perceived user satisfaction, and tangibility, reliability, interactivity, and stability dimensions of service quality make a positive influence on user satisfaction as well. Practical implications for managing brand community sites in marketing perspectives are further discussed.

• Journal of Information Processing Systems
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• v.16 no.1
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• pp.1-5
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• 2020

Sustainable computing is a rapidly expanding field of research covering the fields of multidisciplinary engineering. With the rapid adoption of Internet of Things (IoT) devices, issues such as security, privacy, efficiency, and green computing infrastructure are increasing day by day. To achieve a sustainable computing ecosystem for future smart cities, it is important to take into account their entire life cycle from design and manufacturing to recycling and disposal as well as their wider impact on humans and the places around them. The energy efficiency aspects of the computing system range from electronic circuits to applications for systems covering small IoT devices up to large data centers. This editorial focuses on the security, privacy, and efficiency of sustainable computing for future smart cities. This issue accepted 17 articles after a rigorous review process.

• Annual Conference of KIPS
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• 2018.05a
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• pp.584-587
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• 2018

사물인터넷(Internet of Things; IoT)이 차세대 성장동력으로 부상하면서 선진국을 비롯한 많은 단체들이 IoT 육성을 위한 전략을 세우고 있다. 특히 플랫폼(platform)은 IoT의 중요요소기술로 여겨지면서 IoT 플랫폼 보안에 대한 관심은 나날이 높아지고 있다. 현재 국내 IoT 플랫폼('ARTIK', 'Thingplug', 'IoTMakers')들은 oneM2M과 같은 국제표준기술을 기반으로 플랫폼의 다양한 기능을 제공해줌으로서 사용자가 IoT 생태계(ecosystem)에 보다 쉽게 접근할 수 있도록 독려하고 있다. 이렇듯 IoT 플랫폼 기술이 빠른 속도로 성장하고 있는 반면, 국내 IoT 플랫폼들의 보안에 대한 분석이나 연구사례가 거의 없다. 따라서 본 논문에서는 현재 상용화하고 있는 국내 IoT 플랫폼들을 대상으로 보안분석을 수행하고 보안이슈와 보완방안을 시사한다.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.201-217
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• 2019

Cars have become a necessity in modern life. It is widely used to transport people or products to a destination conveniently. However, the addition of a navigation service that provides route information and more makes driving more convenient and safer. Recent developments in the mobile app ecosystem encourages people to adopt not only an installation-type car navigation, but also a mobile app navigation, supporting connected car concepts. It should be noted that mobile apps with mobile Internet can be a significant linkage between information acquired online and offline business. This study demonstrates the impact of the app use experience for a driver in the context of applying artificial intelligence service. As a result, the introduction of artificial intelligence services has a statistically significant moderating effect on the use of mobile navigation apps. This seminal research is valuable as it evaluates the role of artificial intelligence applied to mobile navigation apps.

• Annual Conference of KIPS
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• 2023.05a
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• pp.101-103
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• 2023

With the recent advances in communication technology and Internet of Things (IoT) infrastructure, home automation systems have emerged as a new paradigm for providing users with convenient smart home services. The IoT ecosystem has merged digital systems with the physical world, dramatically changing the way people live and work. However, at the same time, security remains one of the most significant research issues in IoT, as the deployment and application of high-availability systems come with various security risks that cause serious threats to users. Among them, the security issues arising from the interaction among devices/applications should not be underestimated. Attackers can exploit interactions among devices/applications to hack into the user's home. In this paper, we present a survey of research on detecting various types of interactions among devices/applications in IoT.

• International journal of advanced smart convergence
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• v.13 no.1
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• pp.57-68
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• 2024

In this paper, we are interested in how creator economy startups allowing creators to make money from doing that they love. So, we look at European creator economy startups among Web3.0 business model landscape surveyed in 2022, because the US is home of Web2.0 giant platforms like YouTube. Totally seventeen European startups are investigated, and the theoretical logic is the disruptive innovation. We firstly review the survey published in 2022 and utilize the theory of the disruptive innovation to design the research framework including questions with each type of the disruptive innovation. In this paper, we firstly show, Kalao and Gem as NFT ecosystem platforms aim at service convenience. Secondly, Talkbase, Passionfroot, Bildr, Customuse, and Earnr aim at providing creator tools for under-skilled customers. Lastly, when it comes direct monetization with a decentralized business model, CrowdPad, Admix, GOALS, Realm, Dropstar, Pianity, Sonomo, Stage11, Miiji, and ReadyPlayerMe are representative. Despite the relatively small data size, the results are meaningful as they contribute to a more profound comprehension of the Web3.0 business models and offer guidance for future research directions.

• Journal of Digital Convergence
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• v.10 no.1
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• pp.455-461
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• 2012

The paper explores the relationship among paradigms, ecosystem which need to establish broadcasting, information and communications industry as the core of national competitiveness in the digital convergence era, and proposes the future progressing strategies and policies directions that consider environmental factors which all mass media converged on Internet. This paper makes an attempt to contribute innovative & integrated perspectives in the industry.

• The Research Journal of the Costume Culture
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• v.29 no.3
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• pp.422-436
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• 2021

The fashion industry analyzes the value of its essence with ecological design and is expressed as an innovative sculpture using digital technology. Accordingly, this study explores ecological images and digital technologies, categorizes types and derives their meanings through analysis of ecological images shown in modern digital fashion. A literature survey was conducted on ecological images and digital technology as a theoretical background. To analyze the expression type and internal meanings of ecological images, designs with ecological formability were selected and analyzed from related journals, books, and internet sites. The finding are as follows: The expression type was first identified as organic curved garment silhouettes of a non-material liquid with digital retouching. Second, ecological fashion design includes structural shape that applies the silhouette of an organism and patterning of the ecosystem. Third, ecosystems consist of interactions between components of an ecosystem that appear in the interactive type. Accordingly, the internal meanings of ecological images in modern digital fashion are: first, digital fashion can encircle the inherent concepts of nature as organic collections of individuals; second, digital ecological images emphasize a sense of community with coexistence and harmony, playing a complementary role; and finally, the images express perceptual features by providing people with transcendent experiences. This study is significant as it analyzes new formative features based on ecological systems in the digital fashion environment, establishes an aesthetic system through internal meanings, and enhances awareness of human-natural relationships.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.5
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• pp.187-193
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• 2020

The purpose of this study is to study the methodology of deriving a policy that activates artificial intelligence from the governmental perspective in order to induce corporate growth by effectively grafting artificial intelligence technology into society and thereby improve individual and national competitiveness by creating new jobs. In order to derive activation plans, 1) detailed investigation of the domestic environment, 2) discovery of priority support fields and models that can be applied to artificial intelligence, 3) preparation of guidelines for activation and introduction, 4) specific methods for promoting and activating artificial intelligence Should be presented. The proposed artificial intelligence activation method performs a procedure to verify and confirm the effectiveness of artificial intelligence nurturing through a multi-faceted approach. The multi-faceted analysis approach includes business ecosystem aspects, industry-specific aspects including companies, technology fields, policy aspects, public and non-public services aspects, government-led and private-led aspects. Therefore, it can be reviewed as a method of inducing activation in various forms. In the future research field, it is necessary to prove the effectiveness of the proposed activation plan based on empirical data on artificial intelligence-based services. The expected effect of this study is to contribute to support the development of artificial intelligence technology and to establish related policies.

• Journal of Internet Computing and Services
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• v.22 no.2
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• pp.123-131
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• 2021

The Fourth Industrial Revolution was triggered by data-driven digital technologies such as AI and big data. There is a rapid movement to expand the scope of data utilization to the privacy area, which was considered only a protected area. Through the revision of the Data 3 Act, laws and systems were established that allow personal information to be freely transferred and utilized under their consent. But, it will be necessary to support the platform that encompasses the entire process from collecting personal information to managing and utilizing it. In this paper, we propose a platform model that can be applied to building mydata ecosystem using personal information. It describes the six essential functional requirements for building MyData platforms and the procedures and methods for implementing them. The six proposed essential features describe consent, sharing/downloading/ receipt of data, data collection and utilization, user authentication, API gateway, and platform services. We also illustrate the case of applying the MyData platform model to real-world, underprivileged mobility support services.