• Journal of Digital Convergence
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• v.14 no.10
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• pp.183-193
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• 2016

Recently, collaborations through MCS use in team projects are frequently conducted. This study developed a research model to examine the impact of collaboration through MCS on project performance. Team commitment and team trust regarded as the key drivers of enhancing project performance. Moreover, we also investigated the effect of usefulness of MCS on project performance. We posit ubiquity, polychronic use, and ease of use as the key antecedents of usefulness of MCS. The proposed theoretical framework was tested by using survey data collected from 116 university students who have rich experience with collaboration through MCS. PLS was employed for the analysis of the data. The analysis results showed that team trust significantly influences team commitment and project performance, respectively. However, usefulness of MCS is not significantly related to team commitment, while it play a prominent role in enhancing project performance. The results reveals that ease of use has a significant effect on usefulness of MCS, whereas ubiquity and polychronic use are not significantly related to it. From theoretical and practical perspective, this paper can provide in-depth knowledge of the effects of collaboration via MCS on project performance.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.279-285
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• 2018

The purpose of this study is to propose the role of future designers and capabilities to be developed in the age of A.I. Active and preliminary designers should prepare themselves to develop necessary capabilities. As a method of study, we investigated the meaning of design and the changing role of designers from the past to present. Additional research was conducted on generative design, design processes, and A.I based design software. Finally, based on the analysis, we proposed the role of future designers and their capabilities in the age of A.I. In conclusion, the role of future designer should lead social innovation through creativity by coworking with artificial intelligence based on understanding and empathy for users. Based on this research, designers are expected to develop unique humanities skills such as empathy and creativity and work with AI in response to $4^{th}$ industrial revolution.

• Journal of Intelligence and Information Systems
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• v.17 no.3
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• pp.79-98
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• 2011

This paper proposes a semantic recommendation technique for a personalized e-commerce portal. Semantic recommendation is achieved by utilizing the attributes of products. The semantic similarity of the products is merged with the rating information of the products to provide an accurate recommendation. The recommendation technique also analyzes various attitudes of the customer to evaluate the implicit rating of products. Attitudes are classifies into three types such as "purchasing product", "adding product to shopping cart", and "viewing the product information." We implicitly track customer attitude to estimate the rating of products for recommending products. Also we implement a session validation process to identify the valid sessions that are highly important for giving an accurate recommendation. Our recommendation technique shows a high degree of accuracy as we use age groupings of customers with similar preferences. The experimental section shows that our proposed recommendation method outperforms well known collaborative filtering methods not only for the existing customer, but also for the new user with no previous purchase record.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.12
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• pp.2274-2281
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• 2016

In the long-term ecological research community, personal information is an important factor for the collaboration of data management and data usage in international long-term ecological research as well as on the national level. If lots of personal information was disclosed, collaborative researchers are useful to carry out research cooperation, whereas, information providers tend to be burdened to disclose it. LTER system should be considered to provide both maximum personal information required by a community and minimum personal information to be provided to unrelated people due to the scale of personal information and a number of the constraints on disclosure in the aspect of information distribution of the laws associated with personal information protection. In this article, we analyze international ecological metadata standard, EML, and trends in personal information management throughout international long-term ecological research platforms and propose a system model capable of managing personal information based on related domestic laws for the international data exchange through design and implementation.

• Journal of the Korea Society of Computer and Information
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• v.15 no.10
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• pp.19-26
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• 2010

Due to the development of new digital technologies in recent years, consumers play different roles with compared to the past. Though they used to consume various existing contents, nowadays they have opportunities to use in user-friendly environment which can make them create and share their own contents. Under this circumstance, the digital storytelling has become a big issue in large area, and the web-based contents have been produced with diverse contests. In fact, the digital storytelling means a kind of storytelling method which is made by digital technologies and has been created under various circumstances. However, many researches concern that the digital storytelling is just applied for moving from analog to digital in terms of a tool, but in the reality it is far from the web 2.0 with collective intelligence. Therefore, in this paper, we propose a web-based collaborative digital storytelling platform that analysis user's action processes and components applying collective intelligence.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.2
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• pp.125-138
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• 2016

Currently, there is increasing demand for weather information, however, providing meteorology and climate information is limited. In order to improve them, supporting the meteorology and climate big data platform use and training the meteorology and climate big data specialist who meet the needs of government, public agencies and corporate, are required. Meteorology and climate big data requires high-value usable service in variety fields, and it should be provided personalized service of industry-specific type for the service extension and new content development. To provide personalized service, it is essential to build the collaboration ecosystem at the national level. Building the collaboration ecosystem environment, convergence of marine policy and climate policy, convergence of oceanography and meteorology and convergence of R&D basic research and applied research are required. Since then, demand analysis, production sharing information, unification are able to build the collaboration ecosystem.

• Information Systems Review
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• v.17 no.1
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• pp.1-18
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• 2015

Recently, the number of available cloud services are increasing dramatically because many IT companies have entered into cloud service market. Due to the reason, cloud service brokers are emerging as agents to solve cloud service selection problems and to support cloud service initialization and maintenance of unskilled cloud service users. In this study, NCloud24 case in South Korea and Right Scale case in the USA are analyzed as representative examples of the collaboration between original cloud service providers and cloud service brokers. The business models of two companies are analyzed using Business Model Canvas. The emergence of cloud service brokers are interpreted as unbundling process of IaaS (Infrastructure-as-a-service) cloud service companies. Based on the comparison with the two companies, we prospect future directions of cloud service brokerage.

• Land and Housing Review
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• v.7 no.4
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• pp.177-189
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• 2016

Overseas Urban Development is even risky although it is desirable for market-seeking developed countries and developing countries facing urbanization problems. Both sides do not know each other well so that they cannot trust each other to work on this risky projects. This study constructs a frame, which is enhancing trust between developed and developing countries. The first step is to start from small collaborations than a huge project. At the charismatic position, a enterprise from developed country proceeds its first work with its most advanced skills, cooperating with developing countries. By localization with executing projects smaller and easier than urban development project, like constructing facility or buildings, this enterprise can get closer to native elites and get to be supported from native people. And then, they can start huge urban development project. The study begins with trust theory, adding case studies contributing to constructing Cooperative Overseas Urban Development Frame. Five cases were studied and applied by the international urban development framework.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.749-749
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• 2017

최근 들어 사회문제 해결형 과학기술혁신 활동이 활성화되고 있다. 과학기술정보통신부에서 추진하는 국민생활연구사업, 그리고 혁신본부에서 기획하고 있는 사회문제 해결을 위한 다부처 공동 기획사업 등이 추진되고 있다. 사회문제 해결형 과학기술혁신은 사회문제 해결을 최우선 목표로 삼고 있기 때문에 수월한 과학기술지식의 창출, 산업경쟁력 강화를 위한 혁신과는 목표와 추진체제가 다르다. 사회문제 해결형 과학기술혁신은 사회혁신과 과학기술을 결합하는 활동이라고 할 수 있다. 이렇게 새로운 유형의 혁신활동이 등장하면서 이를 바라보는 다양한 관점이 존재하고 있다. 본 발표에서는 각 논의들을 정리하고 향후 사회문제 해결형 과학기술혁신의 발전방향을 제시한다. 여기서는 크게 3가지 분류로 사회문제 해결형 혁신을 보는 관점을 정리한다. 첫 번째는 전문가 중심의 관점(Innovation for people)이다. 이는 전문가가 분석과 논의를 통해 사회문제를 정의하고 그 대안을 제시하는 접근이다. 많은 과학기술전문가들이 가지고 있는 틀로서 선형모델에 입각한 논의이다. 때문에 혁신의 선형모델이 가지고 있는 문제점, 피드백의 부족, 현장에 대한 이해 부족 등과 같은 단점이 있다. 두 번째는 시민사회 중심의 관점(Innovation by people)이다. 이는 현장의 문제 상황에 있는 시민들이 문제를 정의하고 혁신활동을 주도해야 한다는 관점이다. 이 관점은 일반 시민을 과학기술혁신의 주체로 호명하고 실질적인 문제 해결에 참여시키면서 주류 과학기술의 미흡한 현장 지역 지향성을 비판하고 있다. 그러나 혁신의 논의가 지역에 한정되면서 규모 확대의 어려움을 겪는 경우가 많다. 장기 지속성을 확보하는 데에도 난점이 있다. 세 번째는 전문가와 시민의 협업 관점(Innovation with people)이다. 이는 시민성과 전문성의 결합을 통해 민주주의를 고양하고, 현장 지식과 전문 지식의 융합을 지향하는 접근이다. 또 리빙랩과 같은 추진 체제를 적극적으로 활용한다. 그러나 전문가와 시민사회의 협업을 지원하는 인프라와 지원체제가 부족하면 여러 문제점이 발생할 수 있다. 본 연구에서는 이런 관점들의 한계를 극복하기 위해서 국지적 문제해결과 국가적 문제 해결의 연계, 실험의 중요성 강조, 전문가와 최종 사용자 및 시민의 실질적 협업을 위한 기반 구축, 시스템 전환 프레임의 도입을 정책 방향으로 제시했다.

• Journal of the Korea Society of Computer and Information
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• v.15 no.8
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• pp.51-58
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• 2010

Programming education needs learning which is adjusted individual learners' level of their learning abilities. Recommendation system is one way of implementing personalized service. In this research, we propose recommendation method which learning items are recommended for individual learners' learning in web-based programming education environment by. Our proposed system for leveled programming education provides appropriate programming problems for a certain learner in his learning level and learning scope employing collaborative filtering method using learners' profile of their level and correlation profile between learning topics. As a result, it resolves a problem that providing appropriate programming problems in learner's level, and we get a result that improving leaner's programming ability. Furthermore, when we compared our proposed method and original collaborative filtering method, our proposed method provides the ways to solve the scalability which is one of the limitations in recommendation systems by improving recommendation performance and reducing analysis time.