• Title/Summary/Keyword: 다차원적

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Impact of Supervisor's Leadership Styles on Organizational Citizenship Behavior: Mediation Effects of Multi-dimensional Measure of Justice in the Service Industry (상사의 리더십 유형이 조직시민행동에 미치는 영향: 서비스산업에서 다차원적 공정성의 매개효과)

  • Jeon, Jun-Ho;Han, Kyung-Il
    • Journal of Digital Convergence
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    • v.13 no.3
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    • pp.75-84
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    • 2015
  • As the service industry has been getting increased attention as the core for the national economic growth, in order to promote growth and development of the industry, in-depth research on the workers in the industry has been timely called for. Therefore current study aims to explore the effect of leadership style on organizational citizenship behavior(ie OCB) for increased productivity of workers in the service industry, and the role of multi-dimensional justice in the relationship between them. The findings suggest that transformational and transactional leadership both have positive effect on OCB, implying that application of leadership style that is appropriate to the context may be more important, Also, mediation test of multi-dimensional justice resulted partial mediation effect except for the procedural justice in the relationship between transformational leadership and OCB.

Validation of the Korean Version of Brief Multidimensional Measure of Religiousness/Spirituality Scale (다차원적 종교성/영성척도 단축형 한국어판의 타당화)

  • Yoon, Hyae-Young;Kim, Keun-Hyang
    • Journal of the Korea Convergence Society
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    • v.6 no.5
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    • pp.257-274
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    • 2015
  • The purpose of the current study was to validate Fetzer Institute & National Institute on Aging Working Group[NIA](1999)'s Brief-Multidimensional Measure of Religiousness/Spirituality Scale (BMMRS) in Korean adults. The Korean version of BMMRS, Spiritual Well-Being Scale(SWS), Korean Sprituality Scale(KSS), Penn State Worry Questionnaire(PSWQ), and Intolerance of uncertainty Scale(IUS) were administered to the 286 students and community samples. A principle axis factoring analysis with direct oblimin rotation and Kaiser normalization identified a six-factor solution accounting for 66.24% of the variance in scores, labeled as: positive spiritual experience, negative spiritual experience, forgiveness, religious practices, negative congregational support, and positive congregational support. Confirmatory factor analysis results showed that 6 factor model of BMMRS have a good fitness. Also, the internal consistency(.64~.97) and the test-retest reliablity was adequate.(.72~.88) Korean version of BMMRS has adequate psychometric characteristics so it can be used to verify the effects of various compassion-related psychotherapeutic approaches.

Development of Multi-dimensional Limiting Process for Multi-dimensional Compressible Flow (다차원 압축성 유동 해석을 위한 MLP 기법의 개발)

  • 윤성환;김종암;김규홍
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.34 no.7
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    • pp.1-11
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    • 2006
  • Through the analysis of conventional TVD limiters, a new multi-dimensional limiting function is derived for an oscillation control in multi-dimensional flows. Then, Multi-dimensional Limiting Process (MLP) is developed with the multi-dimensional limiting function. The major advantage of MLP is to prevent oscillations across a multi-dimensional discontinuity, and it is readily compatible with more than 3rd order spatial interpolation. Moreover, MLP shows a good convergence characteristic in a steady problem and it is very simple to be implemented. Through numerical test cases, it is verified that MLP substantially improves accuracy, efficiency and robustness both in continuous and discontinuous flows.

Efficient Range Search Method for Multi-dimensional Sequence Database (다차원 시퀀스 데이터베이스를 위한 효율적인 범위 검색 기법)

  • Lee, Sang-Jun;Kim, Beom-Su;Lee, Seok-Ho
    • Journal of KIISE:Software and Applications
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    • v.26 no.5
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    • pp.613-620
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    • 1999
  • 시간의 흐름에 따라 순차적으로 생성되는 연속적인 데이터의 모임을 시퀀스라 한다. 저장된 시퀀스에서 질의로 주어진 시퀀스와 유사한 것을 찾는 문제에 대한 기존의 연구는 대부분 하나의 속성만을 대상으로 한것이며, 여러 속성으로 구성된 다차원 시퀀스에 대해서는 아직까지 활발한 연구가 이루어지지않고 있다. 본 논문에서는 유사도에 기반한 다차원 시퀀스의 범위 검색 문제를 정의하고 세 가지 검색 기법을 기술한다. 순차 검색 기법, 속성별 인덱스 구조, 차원 감소 기법을 이용한 다차원 시퀀스의 검색 기법을 기술하고 질의에 대해 어떤 검색 기법이 효율적인지 실험을 통해 보인다.

DEhBT:A Multidimensional Data Partitioning Scheme using hB-tree (DEhBT: hB-tree를 이용한 다차원 데이타 분할 기법)

  • Kim, Dong-Yeon;O, Yeong-Bae;Choe, Dong-Hun;Han, Sang-Yeong;Lee, Sang-Gu
    • Journal of KIISE:Software and Applications
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    • v.26 no.1
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    • pp.16-24
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    • 1999
  • 본 논문에서는 병렬 DBMS를 사용하는 데이터 웨어하우스의 성능을 개선하기 위한 새로운 다차원 데이터 분할 기법을 제안한다. 데이터 웨어하우스는 많은 양의 데이터를 저장하는 대용량 데이터베이스이며 분석적인 정보를 얻기 위한 다차원 범위 질의가 대부분을 차지한다. 단일 차원분할 기법으로는 다차원 질의를 효과적으로 처리하기 어렵고 기존의 다차원 분할 기법은 임의의 알 수 없는 분포를 가진 데이터에 대해 균등한 분할을 보장하기 어렵다. 본 논문에서는 hB-tree 구조를 이용하여 균등한 분할을 보장하는 다차원 분할 기법을 제안하고 그 성능을 측정하기 위한 시뮬레이터 결과를 보인다. 시뮬레이션에서 hB-tree 분할 기법은 균등 분포뿐만 아니라 비균등 분포 데이터 집합에 대해서도 균등한 분할을 보인다.

The Impact of Technology Dependence and Technological Characteristics on the Transformation of Multiplex Ties (기술 의존성과 기술 특성이 다차원 관계 전환에 미치는 영향)

  • Kim, Byung Eun;Bae, Sung Joo
    • Journal of Korea Technology Innovation Society
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    • v.22 no.3
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    • pp.307-339
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    • 2019
  • This study investigates factors that affect the transformation of multiplex tie into one specific type of relationship - competitive relationship. In particular, this study argues that the lower technological distance or gap of technological competency, the higher the chances are for the multiplex tie to become a competitive tie. In addition, technological characteristics of the firms are also found to affect the multiplex tie's transformation into the competitive tie. To study this phenomena, this study uses both quantitative analysis and case study method. This study is an exploratory attempt to find factors relevant to change multiplex ties into competition, contributing to the literature of multiplex ties by identifying technological variables that affect the transformation of such ties. This study also contributes to practices by providing the guidance on what strategies firms should implement in complex situations such as multiplex ties.

k-Nearest Neighbor Query Processing in Multi-Dimensional Indexing Structures (다차원 인덱싱 구조에서의 k-근접객체질의 처리 방안)

  • Kim Byung Gon;Oh Sung Kyun
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.1 s.33
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    • pp.85-92
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    • 2005
  • Recently, query processing techniques for the multi-dimensional data like images have been widely used to perform content-based retrieval of the data . Range query and Nearest neighbor query are widely used multi dimensional queries . This paper Proposes the efficient pruning strategies for k-nearest neighbor query in R-tree variants indexing structures. Pruning strategy is important for the multi-dimensional indexing query processing so that search space can be reduced. We analyzed the Pruning strategies and perform experiments to show overhead and the profit of the strategies. Finally, we propose best use of the strategies.

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Psychometric Properties of the Revised Multidimensional Coping Scale in University Students (개정판 다차원적 대처척도의 타당도와 신뢰도 : 대학생을 중심으로)

  • Kim, Hee Kyung;Lee, Eun Jin
    • Journal of the Korea Convergence Society
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    • v.10 no.9
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    • pp.323-332
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    • 2019
  • The purpose of this study was to examine the validity and reliability of the Revised Multidimensional Coping Scale(MCS-R) in university student who attended smoking cessation group therapy. Data were collected from 198 university students. Construct validity using exploratory factor analysis were conducted and convergent validity using Resilience scale, Patient Health Questionare-9(PHQ-9) were conducted. A Principal components analysis with varimax rotation and Kaiser normalization identified a thirteen-factor accounting for 69.7% of the variance in scores. Also, the internal consistency(0.66-0.94) and test-retest reliability was adequate(0.44-0.85) in all subscales of the MCS-R. The MCS-R has adequate psychometric characteristics so it can be used to verify.

Multidimensional Scaling Using the Pseudo-Points Based on Partition Method (분할법에 의한 가상점을 활용한 다차원척도법)

  • Shin, Sang Min;Kim, Eun-Seong;Choi, Yong-Seok
    • The Korean Journal of Applied Statistics
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    • v.28 no.6
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    • pp.1171-1180
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    • 2015
  • Multidimensional scaling (MDS) is a graphical technique of multivariate analysis to display dissimilarities among individuals into low-dimensional space. We often have two kinds of MDS which are metric MDS and non-metric MDS. Metric MDS can be applied to quantitative data; however, we need additional information about variables because it only shows relationships among individuals. Gower (1992) proposed a method that can represent variable information using trajectories of the pseudo-points for quantitative variables on the metric MDS space. We will call his method a 'replacement method'. However, the trajectory can not be represented even though metric MDS can be applied to binary data when we apply his method to binary data. Therefore, we propose a method to represent information of binary variables using pseudo-points called a 'partition method'. The proposed method partitions pseudo-points, accounting both the rate of zeroes and ones. Our metric MDS using the proposed partition method can show the relationship between individuals and variables for binary data.

The Influence of Perceived Price and VMD Fitness of SPA Brand on Multi-dimensional Commitment (SPA 브랜드의 지각된 가격과 VMD 적합성이 다차원적 몰입에 미치는 영향)

  • Shin, Mi-Hyang
    • Journal of Digital Convergence
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    • v.10 no.3
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    • pp.39-49
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    • 2012
  • The purpose of this study is to analyzed that the perceived price and VMD fitness of the SPA(speciality store retailer of Private label Apparel) brand characteristics impacts on multidimensional commitment consist of affective commitment, calculative commitment and behavioral commitment. Using SPSS 18.0 and AMOS 18.0 by structural equation modeling analysis, we found that perceived price have effects on affective commitment, behavioral commitment and calculative commitment significantly, and VMD fitness have effects affective commitment significant only. Affective commitment and calculative commitment on behavioral commitment was affected significantly. Through this study we found that perceived price and VMD fitness SPA brand maintaining relationships between the consumer and the seller are an important factors.