• 제목/요약/키워드: Structure management

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A Study on the Risk Management of e-Finance by Active Internet (인터넷활성화에 따른 전자금융위험에 대한 대응방안과 정책 연구)

  • Song, Keyong-Seog
    • Journal of Digital Convergence
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    • v.8 no.2
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    • pp.189-202
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    • 2010
  • Although e-Finance has become more and more prevalent in everyday life, with the development of information technology, further development of e-Finance and commercial transactions has been limited. Therefore it is important for financial institutions to be aware of the significance of e-Finance risk and take appropriate actions. And an effective risk management function relies on a well-defined organization structure to eliminate gaps and minimize overlaps in risk management duties, responsibilities, and authorities. It defines and assigns risk management responsibilities, authorities, and accountabilities to appropriate personnel. The adequate organization of the risk management function is very important in the success of risk management.

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Effects of Appearance Management Behaviors on Career Decision Level in Female College Students (여대생의 외모관리행동이 진로결정수준에 미치는 영향)

  • Kim, Mikyung
    • Journal of Fashion Business
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    • v.20 no.4
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    • pp.36-49
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    • 2016
  • The objective of this study was to examine the effects of appearance management behaviors on career decision level among female college students. Based on previous studies on appearance management behaviors and career decision level, the items for a questionnaire were developed. For the study, we conducted a questionnaire survey among 292 students from women's university in Seoul. Factor analysis, correlation analysis and multiple regression analysis were performed using SPSS statistics 23. Results of this study are as follows. First, the factor structure of appearance management behavior had three factors: 'fashion & hair,' 'skin & plastic surgery,' and 'body shape.' The reliability and validity of the factor structure were proved. Second, a significant correlation was found between sub-factors in appearance management behaviors. Career decision level showed a significant correlation only with body management factor. Third, the appearance management behavior of female college students was found to have a partially significant effect on career decision level. For higher grade students, fashion & hair factor and body shape factor had positive effects on career decision level. For lower grade students, body shape factor had a positive effect on career decision level while skin & plastic surgery factor had a negative effect on career decision level. Therefore, to increase career decision level, managing appearance through keeping fit body shape is crucial. This study also suggests that as one elevates to a higher grade, the importance of management and keeping interest toward fashion is important.

A Machine-Learning Based Approach for Extracting Logical Structure of a Styled Document

  • Kim, Tae-young;Kim, Suntae;Choi, Sangchul;Kim, Jeong-Ah;Choi, Jae-Young;Ko, Jong-Won;Lee, Jee-Huong;Cho, Youngwha
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.2
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    • pp.1043-1056
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    • 2017
  • A styled document is a document that contains diverse decorating functions such as different font, colors, tables and images generally authored in a word processor (e.g., MS-WORD, Open Office). Compared to a plain-text document, a styled document enables a human to easily recognize a logical structure such as section, subsection and contents of a document. However, it is difficult for a computer to recognize the structure if a writer does not explicitly specify a type of an element by using the styling functions of a word processor. It is one of the obstacles to enhance document version management systems because they currently manage the document with a file as a unit, not the document elements as a management unit. This paper proposes a machine learning based approach to analyzing the logical structure of a styled document composing of sections, subsections and contents. We first suggest a feature vector for characterizing document elements from a styled document, composing of eight features such as font size, indentation and period, each of which is a frequently discovered item in a styled document. Then, we trained machine learning classifiers such as Random Forest and Support Vector Machine using the suggested feature vector. The trained classifiers are used to automatically identify logical structure of a styled document. Our experiment obtained 92.78% of precision and 94.02% of recall for analyzing the logical structure of 50 styled documents.

Influences of Organizational Structure on Organizational Culture and Job Satisfaction in Construction Management Site Organizations (건설사업관리 현장조직의 조직구조가 조직문화 및 직무만족에 미치는 영향)

  • An, Sung-Hoon;Umuhoza, Esperance
    • Journal of the Korea Institute of Building Construction
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    • v.21 no.3
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    • pp.241-247
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    • 2021
  • As construction projects become more complex and larger, the role of the organization becomes more important. In order to increase the performance of the construction management(CM) site organization, it is necessary to find an organizational structure suitable for the CM, lead an organizational culture correctly, and increase the job satisfaction of the members. Therefore, the purpose of this study is to study the influence of the organizational structure of the CM site organization on the organizational culture and job satisfaction. As results of the study, the organizational structure of the CM site organization was the highest at 3.51 for formalization and the lowest at 2.71 for centralization(out of 5). In addition, as results of correlation analysis, organizational structure was found to have a correlation with organizational culture and job satisfaction. This study is considered to be helpful in planning an organizational structure suitable for the CM site organization.

Construction of LRM-Based Bibliographic Structure for Describing Old Materials (고문헌 기술을 위한 LRM 기반 서지구조 구축: 에이전트, 장소, 시간 개체를 중심으로)

  • Minjung Park;Seungmin Lee
    • Journal of the Korean Society for information Management
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    • v.40 no.3
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    • pp.197-219
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    • 2023
  • The cataloging rules of AACR families and bibliographic structure, which are broadly used in describing resources, show limitations in reflecting the unique bibliographic characteristics of Korean old materials. Thus this research proposed a bibliographic structure optimized to the unique bibliographic characteristics of Korean old materials by establishing bibliographic relationships between bibliographic entities based on the FRBR LRM conceptual model. The bibliographic relationships should be established in the way of connecting related materials in the bibliographic structure. These relationships should sufficiently reflect the bibliographic characteristics of the materials, physical variations, and content variations. Through this structure, the bibliographic description can be separated and integrated into the bibliograhpic unit by applying LRM conceptual model. By using the proposed structure, the organization, management, and utilization of Korean old materials can be more efficient. Also, it can provide a new bibliographic environment that can be the foundation of creating BIBFRAME records for Korean old materials.

An Evaluation Model of IT PMO Performance Using Pentagon Model (Pentagon Model을 활용한 정보화 프로젝트 PMO의 성과평가 모형 제시)

  • Kim, Ki-Hyun;Park, Geun-Wan;Hwang, Seung-June
    • The Journal of Society for e-Business Studies
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    • v.21 no.4
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    • pp.119-136
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    • 2016
  • Precedent studies revealed that success of IT project strongly depends on the competency of PMO(project management offices), however, there are only few studies which show the importance of PMO competency. In this study, we will suggest an evaluation model of IT PMO competency using the Pentagon Model which is a tool to assess the performance of project organization, and the Analytic Hierarchy Process. We classified effect factor of PMO competency into 25 items in 5 fields such as Structure, Technology, Culture, Interaction, Social Relations and Networks based on pentagon model, also analysis of criticality between the effect factors was conducted by AHP. The study result shows 3 factors of Structure were included in the top 10, while 2 factors of Technology, Culture, Interaction were included separately. In terms of Social Relations and Networks, only 1 factor was included in the top 10. Therefore Structure of PMO should be aggressively considered for the successful IT project.

Constructing a Competing Risks Model for the Combined Structure with Dependent Relations (종속적 관계를 갖는 혼합구조에 대한 경쟁적 위험모형의 구축)

  • Park, Seonghwan;Park, Jihyun;Bae, Kiho;Ahn, Suneung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.3
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    • pp.92-98
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    • 2017
  • The rapid growth of engineering technology and the emergence of systemized and large-scale engineering systems have resulted in complexity and uncertainty throughout the lifecycle activities of engineering systems. This complex and large-scale engineering system consists of numerous components, but system failure can be caused by failure of any one of a number of components. There is a real difficulty in managing such a complex and large-scale system as a part. In order to efficiently manage the system and have high reliability, it is necessary to structure a system with a complex structure as a sub-system. Also, in the case of a system in which cause of failures exist at the same time, it is required to identify the correlation of the components lifetime and utilize it for the design policy or maintenance activities of the system. Competitive risk theory has been used as a theory based on this concept. In this study, we apply the competitive risk theory to the models with combined structure of series and parallel which is the basic structure of most complex engineering systems. We construct a competing risks model and propose a mathematical model of net lifetime and crude lifetime for each cause of failure, assuming that the components consisting a parallel system are mutually dependent. In addition, based on the constructed model, the correlation of cause of failure is mathematically analyzed and the hazard function is derived by dividing into net lifetime and crude lifetime.

A Study on the Verification of Integrity of Message Structure in Naval Combat Management System

  • Jung, Yong-Gyu
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.12
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    • pp.209-217
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    • 2022
  • Naval CMS(Combat Management System) is linked to various sensors and weapon equipment and use DDS(Data Distribution Service) for efficient data communication between ICU(Interface Control Unit) Node and IPN(Information Processing Node). In order to use DDS, software in the system communicates in an PUB/SUB(Publication/Subscribe) based on DDS topic. If the DDS messages structure in this PUB/SUB method does not match, problems such as incorrect command processing and wrong information delivery occur in sending and receiving application software. To improve this, this paper proposes a DDS message structure integrity verification method. To improve this, this paper proposes a DDS message structure integrity verification method using a hash tree. To verify the applicability of the proposed method to Naval CMS, the message integrity verification rate of the proposed method was measured, and the integrity verification method was applied to CMS and the initialization time of the existing combat management system was compared and the hash tree generation time of the message structures was measured to understand the effect on the operation and development process of CMS. Through this test, It was confirmed that the message structure verification method for system stability proposed in this paper can be applied to the Naval CMS.

Factors Influencing Housing Satisfaction in the New Middle-Aged Rural Returnee Generation

  • Joong-Ho CHOI;Sun-Ju KIM
    • The Journal of Economics, Marketing and Management
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    • v.12 no.2
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    • pp.51-60
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    • 2024
  • Purpose: The purpose of this study was to analyze the factors influencing the housing satisfaction of the new middle-aged who returned to farming to derive the implications of real estate policies to resolve regional imbalances. Research design, data and methodology: As a result, this study used secondary data, housing survey data, and identified factors influencing housing satisfaction through multiple regression analysis as well as basic analysis such as exploratory factor analysis, reliability analysis, technical statistics analysis, and correlation analysis. Previous studies, in particular, mainly focused on aging, retirement, economic activity, and retirement preparation, but this study was able to derive predictive factors that can increase the persistence of living after returning to farming by analyzing housing satisfaction for the new middle-aged, and as a result, suggest implications for resolving regional imbalances. Results: As a result of the analysis, it was found that housing structure status had the greatest influence among the three factors of housing-related predictors: housing structure status, facility accessibility, and surrounding environment, suggesting that policy alternatives that can improve the quality of the housing structure itself should be prepared rather than facility accessibility and the surrounding environment. Conclusions: Based on these results, we discussed implications for improving the housing structure to increase the continuity of living for the new middle-aged after returning to farming, and presented follow-up research directions on the need for complementary research in addition to individual analysis of influencing factors, limitations of secondary data, and the lighting of research on the new middle-aged and other generations who did not return to farming.