• Title/Summary/Keyword: Emergent collaboration

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Designing a Personalized Portal Model based on Enterprise 2.0 (Enterpise 2.0 기반의 업무 맞춤 포털 모델 설계)

  • Song, Sang-Sup;Kim, Sun-Mi;Kim, Sun-Ho;Kang, Yoon-Soo
    • 한국IT서비스학회:학술대회논문집
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    • 2008.05a
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    • pp.364-367
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    • 2008
  • Cyber office is a personalized enterprise portal model for knowledge workers. The key services of cyber office are both personalization and emergent collaboration. Personalization service is provided by choosing service from service repository and then dropping it in the cyber office. Service repository contains various kinds of services supporting business activities. Cyber office provides blog service and profile service for knowledge workers to participate in knowledge based collaboration voluntarily.

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Rule-Based Cooperation of Distributed EC Systems

  • Lee, Dong-Woo
    • International Journal of Contents
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    • v.5 no.3
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    • pp.79-85
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    • 2009
  • Emergent requests or urgent information among enterprises require their intimate collaboration in B2B EC (electronic commerce). This paper analyzes the needs of intimate cooperation of distributed EC systems in terms of business contracts and presents an active rule-based methodology of close cooperation among EC systems and an active rule component to support it. Since the rule component provides high level rule patterns and event-based immediate processing, system administrators and programmers can easily program and maintain intimate cooperation of distributed EC systems independently to the application logic. The proposed active rule component facilitates HTTP protocol. Its prototype is implemented in B2B EC environment and evaluated using basic trigger facility of a commercial DBMS.

Formation and Annealing Effect of Tolanethioacetate Self-Assembled Monolayers on Au(111)

  • Jeong, Young-Do;Han, Jin-Wook;Kim, Nak-Joong;Lee, Young-Il;Lee, Chang-Jin;Hara, Masahiko;Noh, Jaeg-Eun
    • Bulletin of the Korean Chemical Society
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    • v.28 no.12
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    • pp.2445-2448
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    • 2007
  • Self-assembled monolayers (SAMs) were formed by adsorption of thioacetyl-terminated tolanethioacetate (TTA) on Au(111) in a 0.5-mM ethanol solution after one day immersion at room temperature. Molecular-scale STM imaging revealed that the TTA SAMs were composed of two mixed phases; an ordered phase with small domains describing a ( × 2 )R30° structure and a disordered phase. Interestingly, after annealing the precovered TTA SAMs on Au(111) at 90 °C for 1 h, the small ordered domains grew unidirectionally, resulting in the formation of unique rod-like domains, which were assigned a ( × 2 )R7° structure. These results will be very useful in understanding the formation and thermal behavior of TTA SAMs on gold surfaces.

The Growth and Diversification of a Specialty Hospital - A Case Study of Bestian Group - (전문병원의 성장과 다각화 - 베스티안 병원 그룹을 중심으로 -)

  • Kim, Kwang-Jum;Park, Ji-Yun;Park, Michael Hyung-Jin;Lee, Hyun-Ju
    • Korea Journal of Hospital Management
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    • v.17 no.4
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    • pp.167-187
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    • 2012
  • Organizational growth is achieved through the process of finding opportunities in the environment and establishing a business model with internal and external resources. Bestian Hospital, which primarily focuses on saving the lives of patients with severe burns, has enlarged its business domain through deep understanding of burn patients' problems, including pain and complications during treatments, long-term treatments, skin reconstruction, and so on. Now Bestian is accelerating research for development of antipyretics and cosmetics for burn patients. The success of Bestian has been due to utilization of human and material resources that are essential to performance in the medical field. Also, Bestian properly used a management service organization(MSO) model and constructed an information technology(IT) system for supporting its businesses. However, previous successes do not guarantee continued success. Bestian is entering a new domain with different challenges than it has experienced so far, and how it deals with these challenges will decide its future.

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Heavy Snowfall Disaster Response using Multiple Satellite Imagery Information (다중 위성정보를 활용한 폭설재난 대응)

  • Kim, Seong Sam;Choi, Jae Won;Goo, Sin Hoi;Park, Young Jin
    • Journal of Korean Society for Geospatial Information Science
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    • v.20 no.4
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    • pp.135-143
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    • 2012
  • Remote sensing which observes repeatedly the whole Earth and GIS-based decision-making technology have been utilized widely in disaster management such as early warning monitoring, damage investigation, emergent rescue and response, rapid recovery etc. In addition, various countermeasures of national level to collect timely satellite imagery in emergency have been considered through the operation of a satellite with onboard multiple sensors as well as the practical joint use of satellite imagery by collaboration with space agencies of the world. In order to respond heavy snowfall disaster occurred on the east coast of the Korean Peninsula in February 2011, snow-covered regions were analyzed and detected in this study through NDSI(Normalized Difference Snow Index) considering reflectance of wavelength for MODIS sensor and change detection algorithm using satellite imagery collected from International Charter. We present the application case of National Disaster Management Institute(NDMI) which supported timely decision-making through GIS spatial analysis with various spatial data and snow cover map.

Applications of SMCRE Model on Social Amplification of MERS Risk Information and its Implications (메르스 위험정보유통의 사회적 확산에 관한 SMCRE 모형의 적용과 함의)

  • Choi, Choong-Ik;Bae, Suk-Kyeong;Kim, Chul-Min
    • Journal of Distribution Science
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    • v.14 no.6
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    • pp.89-98
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    • 2016
  • Purpose - This article tackles risk communication issues and aims to address the characteristics of MERS risk information distribution in South Korea, and secondly to examine the communicative behavior of the public health authority in terms of the quality of communication strategies. Thirdly, the study attempts to figure out the risk communication to cope with MERS through the applications of SMCRE model in chronological order. We employ the social amplification of risk framework for analyzing the emergent public response as one of the main approaches. Research Design, Data and Methodology - The main framework of this study is theoretically based on the social amplification of risk, which describes signals about risk transmitted and processed by individuals and social groups. The model also reflects the interactions between social groups and institutes about disaster-related risk issues, which are potential amplifiers or attenuators of communication signals. S-M-C-R-E Model is methodologically employed to examine the social amplification for MERS risk information in each period, which we defined operationally. The proposed methodology allows the assessment of effectiveness and ineffectiveness on risk communication to be conceptualized as a countermeasure against disasters. The paper focuses on exploring how social risk amplification can be applied and organized in each stage. Results - The SMCRE model describes the exchange of risk information and is also applied to all forms of communication between stakeholders including public health authority, local government and media. Each factor of risk communication includes source, message, channel, receiver and effect. The results support that the effective risk communication involves not only the improved reliability of public health authority as a key factor of risk communication, but also a close cooperation and good collaboration with local governments. It does not seem to be possible that the government-initiated risk communication based on controllability and management cope effectively with infectious disease in early stage. The results of this study imply that the shared risks between local, regional and national authorities can enhance risk communication system. Conclusions - The study supports that the disparities in how disaster-related risk information is interpreted and coded, have made effective risk communication and public sense-making impeded. Our findings support a more communicative discussion about the role of risk information sharing between governments for the improvement of emergency management and underline the importance of social elements in the risk communication, such as relationship and trust building. Findings suggest that trust building between stakeholders could be added to help explain the processes of social amplification and attenuation of risk. It would be recommended that the continuous risk communication with all the involved stakeholders will be able to help national health promotion policy to be improved regarding emergency management. Furthermore, risk communication has to be a scientific approach for the communication pertaining to potentially sensitive or controversial situations with public concerns and low public trust.

Skills Development Programmes and Activities for LIS Professionals in India: A Road Map For South Asian Countries (문헌정보학 전문가를 위한 인도의 기술개발 프로그램과 활동 분석)

  • Ramesha, Ramesha
    • Journal of Information Management
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    • v.42 no.4
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    • pp.95-113
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    • 2011
  • The new millennium with mystifying convergence of IT has opened new challenges to LIS profession. This has resulted to continuous skill development and lifelong learning, for capacity building in consonant with contemporary changes. The LIS profession in India has created several mechanisms to organize and conduct several skills development programmes through which professionals are continuously enabled to update their professional knowledge and skills, in practice and teaching. There is a good organizational infrastructure and identified areas related to the recent developmental trends and as such LIS professionals and educators have facilities for updating their knowledge at veritable levels and intervals. The paper has surveyed programmes conducted by different organizations at different levels and highlights the aspects of the organizational infrastructure and the emergent areas of applications in LIS teaching, research and professional practices in India. The selection of areas and subjects for various skill development programmes suggest the competencies acquired by the LIS professionals from India, and the empowerment of their professional knowledge can be of immense value to its neighbouring countries. The paper highlights the knowledge and competencies of the LIS professionals in India and the broad-based facilities available here which can be a model for those countries which are seeking to utilize the LIS human resources from this part of the sub-continent. The paper in this circumstance surveyed on the institutional infrastructure for skill developmental opportunities available in India which would meet such requirements within and to the countries outside in the South Asian region seeking its collaboration in such manpower development work.

Keyword Network Analysis for Technology Forecasting (기술예측을 위한 특허 키워드 네트워크 분석)

  • Choi, Jin-Ho;Kim, Hee-Su;Im, Nam-Gyu
    • Journal of Intelligence and Information Systems
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    • v.17 no.4
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    • pp.227-240
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    • 2011
  • New concepts and ideas often result from extensive recombination of existing concepts or ideas. Both researchers and developers build on existing concepts and ideas in published papers or registered patents to develop new theories and technologies that in turn serve as a basis for further development. As the importance of patent increases, so does that of patent analysis. Patent analysis is largely divided into network-based and keyword-based analyses. The former lacks its ability to analyze information technology in details while the letter is unable to identify the relationship between such technologies. In order to overcome the limitations of network-based and keyword-based analyses, this study, which blends those two methods, suggests the keyword network based analysis methodology. In this study, we collected significant technology information in each patent that is related to Light Emitting Diode (LED) through text mining, built a keyword network, and then executed a community network analysis on the collected data. The results of analysis are as the following. First, the patent keyword network indicated very low density and exceptionally high clustering coefficient. Technically, density is obtained by dividing the number of ties in a network by the number of all possible ties. The value ranges between 0 and 1, with higher values indicating denser networks and lower values indicating sparser networks. In real-world networks, the density varies depending on the size of a network; increasing the size of a network generally leads to a decrease in the density. The clustering coefficient is a network-level measure that illustrates the tendency of nodes to cluster in densely interconnected modules. This measure is to show the small-world property in which a network can be highly clustered even though it has a small average distance between nodes in spite of the large number of nodes. Therefore, high density in patent keyword network means that nodes in the patent keyword network are connected sporadically, and high clustering coefficient shows that nodes in the network are closely connected one another. Second, the cumulative degree distribution of the patent keyword network, as any other knowledge network like citation network or collaboration network, followed a clear power-law distribution. A well-known mechanism of this pattern is the preferential attachment mechanism, whereby a node with more links is likely to attain further new links in the evolution of the corresponding network. Unlike general normal distributions, the power-law distribution does not have a representative scale. This means that one cannot pick a representative or an average because there is always a considerable probability of finding much larger values. Networks with power-law distributions are therefore often referred to as scale-free networks. The presence of heavy-tailed scale-free distribution represents the fundamental signature of an emergent collective behavior of the actors who contribute to forming the network. In our context, the more frequently a patent keyword is used, the more often it is selected by researchers and is associated with other keywords or concepts to constitute and convey new patents or technologies. The evidence of power-law distribution implies that the preferential attachment mechanism suggests the origin of heavy-tailed distributions in a wide range of growing patent keyword network. Third, we found that among keywords that flew into a particular field, the vast majority of keywords with new links join existing keywords in the associated community in forming the concept of a new patent. This finding resulted in the same outcomes for both the short-term period (4-year) and long-term period (10-year) analyses. Furthermore, using the keyword combination information that was derived from the methodology suggested by our study enables one to forecast which concepts combine to form a new patent dimension and refer to those concepts when developing a new patent.