• Journal of Information Science Theory and Practice
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• v.1 no.1
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• pp.69-82
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• 2013

Although MAchine Readable Cataloging (MARC) and Functional Requirements for Bibliographic Records (FRBR) are currently the most broadly used bibliographic structures for generating bibliographic data in the library community, each has its own weaknesses in describing information resources in diverse media. If the MARC format could be implemented in a structure that reflects the multi-layered characteristics of FRBR, its use could address current problems and limitations in resource description. The purpose of this research is to propose an alternative approach that can integrate the heterogeneous bibliographic structures of MARC and FRBR through the applications of facet and facet analysis. The proposed faceted data model is expected to function as a conceptual structure that can mediate between MARC data elements and FRBR attributes in order to utilize these structures in a more reliable and comprehensive way.

• Korea Journal of Hospital Management
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• v.11 no.4
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• pp.37-62
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• 2006

This study investigates the antecedents of knowledge sharing behavior focusing on the individual level factors in an assumption that the behavior is initiated from the individual level decisions. A hypothesis that the relation between personality trait and behavior is mediated by the social-cognitive constructs contained in the Theory of Planned Behavior(TPB) is tested. For the study, we suggest a TPB extended model that extends original TPB model by including conscientiousness facet of FFM(Five Factor Model). This study uses a cross-sectional design. Data were collected from a self-reported survey on 197 nurses in a tertiary hospital. The results showes a significant positive relationship between the conscientiousness facet of FFM and knowledge sharing behavior. In the TPB extended model, the conscientiousness facet has significant direct effects on all the constructs of original TPB model. Of the TPB exogenous constructs, the social norm construct alone has a significant effect on intention and the perceived behavioral has a direct significant effect on the knowledge sharing behavior. These results confirm the importance of conscientiousness in predicting knowledge sharing behavior and clarify the characteristics of knowledge sharing behavior as a contextual, job oriented behavior in a workplace. We conclude that personality trait as conceptualized in the FFM needs to be integrated into TPB model in explaining the knowledge sharing behavior. Based on these results theoretical and practical implications are discussed.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.135-144
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• 2024

In this study, we propose an automatic classification model for quantitative multidimensional analysis based on facet theory to understand public opinions and demands on major issues through big data analysis. Civil complaints, as a form of public feedback, are generated by various individuals on multiple topics repeatedly and continuously in real-time, which can be challenging for officials to read and analyze efficiently. Specifically, our research introduces a new classification framework that utilizes facet theory and political analysis models to analyze the characteristics of citizen complaints and apply them to the policy-making process. Furthermore, to reduce administrative tasks related to complaint analysis and processing and to facilitate citizen policy participation, we employ deep learning to automatically extract and classify attributes based on the facet analysis framework. The results of this study are expected to provide important insights into understanding and analyzing the characteristics of big data related to citizen complaints, which can pave the way for future research in various fields beyond the public sector, such as education, industry, and healthcare, for quantifying unstructured data and utilizing multidimensional analysis. In practical terms, improving the processing system for large-scale electronic complaints and automation through deep learning can enhance the efficiency and responsiveness of complaint handling, and this approach can also be applied to text data processing in other fields.

• Korean Journal of Optics and Photonics
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• v.10 no.6
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• pp.500-506
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• 1999

We designed and fabricated a bidirectional optical transceiver module for low cost access network. An integrated chip forming a pin-PD on an 1.3 urn FP-LD was assembled by flip-chip bonding on a Si optical bench, a single mode fiber with an angled end facet was aligned passively with the integrated chip on V-groove of Si-optical bench. Gaussian beam theory was applied to evaluate the coupling coefficients as a function of some parameters such as alignment distance, angle of fiber end facet, vertical alignment error. The theory is also used to search the bottle-neck between transmittance and receiving coupling efficiency in the bi-directional optical system. Tn this paper, we confirmed that reduction of coupling efficiency by the vertical alignment error between laser beam and fiber core axis can be compensated by controlling the fiber facet angle. In the fabrication of sub-module, a'||'&'||' we made such that the fiber facet have a corn shape with an angled facet only core part, the reflection of transmitted laser beam from the fiber facet could be minimized below -35 dE in alignment distance of 2: 30 /J.m. In the same condition, transmitted output power of -12.1 dEm and responsivity of 0.2. AIW were obtained.

• 한국방재학회:학술대회논문집
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• 2011.02a
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• pp.167-167
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• 2011

최근 사회기반 시설물들의 대형화, 고밀도화가 됨에 따라 재해 재난대비에 대한 관심 또한 높아지고 있다. 특히, 화재는 우리 주변에서 지속적으로 발생하는 재난이다. 한편, 지진과 같은 경우에는 중소규모가 한반도내에서 빈번하게 발생하고 있지만 직접적으로 피해를 경험 한 적이 없어, 적극적으로 대비해야하는 재해로는 아직 인식하고 있지 못한다고 할 수 있다. 재난, 재해에 대한 연구는 과거의 피해를 기준으로 미래에 대한 대책을 해결책으로 제시하는 방식으로 많은 연구자들에 의해서 지속적으로 이루어지고 있다. 본 연구에서는 우리사회에 발생 가능한 재난에 대해서 서로 다른 인식 수준을 가지고 있는 지진과 화재의 재난에 대한 시민인식차이를 실증적으로 검토하였다. 화재 및 지진에 대한 설문조사를 실시하고 결과 분석을 통해 나타나는 재난시의 인간행동심리를 Facet이론을 이용하여 범위를 선정하고 분석하였다. 분석방법으로는 통합적 분석 방법으로 각 연령대별로 분류하여 분석하였다. 연령대별로 습득한 지식 및 교육환경 배경이 차이가 있을 것이라는 가정 아래 연령대별 분류를 하였다. 설문조사결과를 바탕으로 Facet이론에 근거하여 분석한 결과, 화재발생시의 통합적 분석의 경우는 [MATTER], [SPACE], [ENERGY]등이 다수 나타났고 지진 발생 시에는 통합적으로 [SPACE], [ENERGY]가 다수 나타났다. 따라서, 지진에 대한 국가적으로 교육시스템을 갖추고 개인적인 지진발생시 행동상황을 숙지하고 연습하는 것이 필요한 것으로 나타났다. 결론적으로 지진과 화재시의 인간행동심리를 비교한 결과, 화재는 우리나라에서 가장 빈번하게 발생하는 재해이기 때문에 비교적 국가적으로나 개인적으로 대비를 하고 있다는 것을 실증적으로 나타내었다. 화재로 인한 재난은 국가적으로 끊임없이 교육(인식전환)을 실시하고 있음에도 불구하고 지속적으로 발생하고 있다. 하지만 지진과 비교해 인위적 과실로 인한 재난임에도 불구하고 사전에 화재발생시 대처하는 행동숙지로 인해 많은 인적 및 재산적 피해를 줄일 수 있다. 최근 우리나라는 지진에 대해서는 건축물의 붕괴로 인한 피해방지에 중점을 두고 건축물의 내진성능에 대한 평가가 점진적으로 추진되고 있다. 하지만, 지진발생시 이와 같은 현재 방재정책과 더불어 국민 스스로 지진에 대한 발생가능성 및 예상위험에 대한 인식수준을 향상시킴으로서 국가적 재난을 효과적으로 대처할 필요가 있음을 실증적으로 나타내었다.

• Journal of Korean Society of Archives and Records Management
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• v.19 no.4
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• pp.63-86
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• 2019

UNESCO clearly has a good user interface compared to other sites. However, it does not have a structure in which user-centric knowledge curating is employed by users. As such, the knowledge structure should be expressed differently in advance for users to enjoy such benefits. At present, almost all current information systems are lacking with semantic and contextual information. Moreover, these systems are deemed insufficient of interlinking various kinds of thoughts in our minds. Thus, it is necessary to model in advance what users are likely to think and provide an interface that they can easily utilize based on that modeling. Furthermore, there is a need for a new structural theory based on semantic technology that can make that possible. Therefore, in this proposal, theoretical and practical insights were presented for user interface implementation to which relational facet navigation based on the structural theory is applied. Moreover, this proposal intends to suggest a "thinking expansion platform" that allows users' ideation of different concepts, including those unfamiliar to them.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.1 no.1
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• pp.51-59
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• 1991

Early stage of GaAs nucleation on Si substrate was theoretically studied by computer simulation. Compared to the constant ledge interaction energy in conventional nucleation theory, functional behavior of ledge-ledge interaction resulted in small size clusters depending on the cluster size and shape. Among various kinds of clusters, the multilayer pyramidal shape GaAs cluster requires smallest excess free energy due to the formation of Ga(111) facet planes. There this result suggests that the defects involved in GaAs/Si are originated from the early stage nucleation.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.02a
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• pp.129-129
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• 2013

Nanometal alloy catalysts have been found to significantly increase catalytic efficiency, compared to the monometallic counterparts. This enhancement can be attributed to various alloying effects: i) the existence of uniquemixed-metal surface sites [the so called ensemble (geometric) effect]; ii) electronic state changes due to metal-metal interactions [the so called ligand (electronic) effect]; and iii) strain caused by lattice mismatch between the alloy components [the socalled strain effect]. In addition, the presence of low-coordination surface atoms and preferential exposure of specific facets [(111), (100), (110)] in association with the size and shape of nanoparticle catalysts [the so called shape-size-facet effect] can be another important factor for modifying the catalytic activity. However, mechanisms underlying the alloying effect still remain unclear owing to the difficulty of direct characterization. Computational approaches, particularly the prediction using first-principles density functional theory (DFT), can be a powerful and flexible alternative for unraveling the role of alloying effects in catalysis since those can give us quantitative insights into the catalytic systems. In this talk, I will present the underlying principles (such as atomic arrangement, facet, local strain, ligand interaction, and effective atomic coordination number at the surface) that govern catalytic reactions occurring on Pd-based alloys using the first-principles calculations. This work highlights the importance of knowing how to properly tailor the surface reactivity of alloy catalysts for achieving high catalytic performance.

• Journal of the Korean earth science society
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• v.31 no.1
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• pp.95-105
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• 2010

The purpose of this study lies in applying generalizability theory depending on the aim of the usage of GALT to analyze the sources of error of single-facet considering item and person only and to analyze the sources of error of multi-facet considering item, person and domain. The study was conducted with 1016 students of local elementary, middle, and high schools. The 21 items of a full version were answered for 40 minute and then the 12 items of short version were sampled to analyze reliability using generalizability theory. Both the full version and the short version of the items were analyzed using Cronbach's alpha for data analysis, and we applied generalizability theory and separate $p{\times}i$ design and $p{\times}(i:h)$ design, G study and D study were performed. Results of analysis are as follows: First, the result of D study after $p{\times}I$ design both on the full version and the short version showed that in the case of the full version, the generalizability coefficient was 0.87 exceeding a normal level of 0.80, and the normal level of generalizability coefficient was achieved in 13 items as well. In case of short version, when 12 items were evaluated, generalizability coefficient was 0.77 not reaching the normal level, and the normal level was achieved in case of more than 15 items. Second, the result of D study after $p{\times}(I:H)$ design on the short version showed that once one domain consists of 2 items in 6 domains, generalizability coefficient was 0.71 which is lower than the normal level of 0.80, the normal level was achieved in more than 5 item cases.

• Asia-Pacific Journal of Business
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• v.9 no.3
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• pp.25-35
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• 2018

Research addressing international new ventures' social responsibility activities is scarce. Specifically, researchers have little account for the effects of an international new venture's social responsibility efforts on the outcomes of relationships with local customers in emerging economies. Against this background, we attempt to extend the boundaries of an understanding of the effects of international new ventures' social responsibility engagement on local customers' loyalty through customer trust and customer identification in emerging economies. Based mainly on the stakeholder theory and the relationship marketing theory, our study conceptualize two facets of international new ventures' social responsibility efforts: ethical and philanthropic corporate social responsibility engagement. In addition, we identify positive customer relationship-building mechanisms for each facet. Furthermore, our study presents an empirically testable propositions that would explain how international new ventures' social responsibility efforts influence the outcomes of relationships with local customers in emerging economies. Finally, this manuscript provides a discussion of the present study' implications for theory and practice and limitations that naturally lead to future research on international new ventures' social responsibility activities in developing economies.