• Title/Summary/Keyword: Repertory grid technique

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A Study on the Evaluation of Building Exterior Design Applied to Repertory Grid Developmental Method - Focused on Small Exhibition Buildings - (레퍼토리 그리드 발전 수법을 적용한 건축물 외관 디자인 평가에 관한 연구 - 소규모 전시 건축물을 중심으로 -)

  • 윤갑근;정사희;이종영
    • Korean Institute of Interior Design Journal
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    • no.26
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    • pp.26-34
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    • 2001
  • The problems with the small exhibition buildings such a small gallery and art center recently constructed did not make the characteristics of the place specifying and did not form a big flow in the line of urban connection. Also it was deficient in the image like a cultural space because of the commercial aspects of the individual buildings. According to this view, this study is to evaluate the exteriors of the small exhibition buildings that the public prefers on the psychological side as a design theory and then, it is to present the direction of desirable form constitution hereafter. In the design of the small exhibition buildings exterior that the public must prefers, the principles and techniques of constitution that operate are the most initiative as follows. As for the principles of unity in the constitution of the small exhibition buildings exterior that the public prefers, Eigen Value is 7.573 and the explanatory force takes 21.637% at the top and it plays a leading role. In the comparison of the appearance, it shows that it is a factor with the largest specific gravity. The next factors were grouped in good order: the balance, ornamental technique, change, shipping technique, rhythm, harmony, symbolic technique, area technique and adding technique. As a result, in the design of the small exhibition buildings exterior, the architects have to constitute the principles of balance, change, rhythm and harmony by most of the unity and the symbolic technique and form technique by most of the ornamental techniques harmoniously and have to give Identity like exhibition buildings.

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Relations between Scenic Desirability and Landscape Component of the Copse in the City Park

  • Lee, Hyuk-Jae;Koshimizu, Hajime
    • Proceedings of the Korean Institute of Landscape Architecture Conference
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    • 2007.10b
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    • pp.72-77
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    • 2007
  • Civic participation in managing the work of a park is a natural experience, and urban culture has a role in forming and communicating ideas. However, when it comes to managing a copse, there is no clear scenic image. In this study, my intention was to determine a desirable scene involving a copse and suggest a target image for managing work from a scenic perspective. I selected 12 photographs and listed 10 pairs of adjectives that were judged to reflect the effect produced by the copse scene using the repertory grid development technique. In addition, I performed a scenic evaluation using the semantic differential(SD) method with each pair of adjectives. Factor analysis was performed based on questionnaire survey results, such that the scenic structure of the copse had a clear definition. In addition, the physical characteristics of the photographs were analyzed using Adobe Photoshop 6.0 and the correlations between the results of the questionnaire survey were understood using multiple regression analysis. A desirable scenic image of the copse became clear through this process and I was able to suggest various options of scenic images. Taking the aspects of urban culture into consideration, park improvement projects(including their planning stages) should be implemented by involving residents, which will lead to further development of park planning and maintenance theories and projects giving due consideration to residents' opinions.

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A Study on Attribute Index for Evaluation of Data Governance (Data Governance 평가를 위한 속성지표 연구)

  • Jang, Kyoung-Ae;Kim, Woo-Je
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.2
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    • pp.57-66
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    • 2017
  • The academic research on data governance is still in its infancy and focused on the definition of concept and components. However, we need to study of evaluation on data governance to help make decision of establishment. The purpose of this paper is to develop of attribute index in data governance framework. Therefore, in this paper, we used RGT (repertory grid technique) and Laddering techniques for experts interview and survey for validation of disinterested third party experts and analysis statistically. We completed data governance attribute index which is composed of data compliance area including 8 components, data quality area including 16 components and data organization area including 7 components. Moreover, the evaluation attributes is prioritized and ranked using the AHP. As a result of the study, this paper can be used for the base line data in introducing and operating data governance in an IT company.

Derivation of Data Quality Attributes and their Priorities Based on Customer Requirements (고객의 요구사항에 기반한 데이터품질 평가속성 및 우선순위 도출)

  • Jang, Kyoung-Ae;Kim, Ja-Hee;Kim, Woo Je
    • KIPS Transactions on Software and Data Engineering
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    • v.4 no.12
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    • pp.549-560
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    • 2015
  • There is a wide variety of data quality attributes such as the ones proposed by the ISO/IEC organization and also by many other domestic and international institutions. However, it takes considerable time and costs to apply those criteria and guidelines to real environment. Therefore, it needs to define data quality evaluation attributes which are easily applicable and are not influenced by organizational environment limitations. The purpose of this paper is to derive data quality attributes and order of their priorities based on customer requirements for managing the process systematically and evaluating the data quantitatively. This study identifies the customer cognitive constructs of data quality attributes using the RGT(Repertory Grid Technique) based on a Korean quality standard model (DQC-M). Also the correlation analysis on the identified constructs is conducted, and the evaluation attributes is prioritized and ranked using the AHP. As the results of this paper, the consistent system, the accurate data, the efficient environment, the flexible management, and the continuous improvement are derived at the first level of the data quality evaluation attributes. Also, Control Compliance(13%), Regulatory Compliance(10%), Requirement Completeness(9.6%), Accuracy(8.4%), and Traceability(6.8%) are ranked on the top 5 of the 19 attributes in the second level.