• Industry Promotion Research
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• v.8 no.4
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• pp.101-111
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• 2023

This purpose of this study was to examine the factors influencing job satisfaction of social workers working at welfare centers for people with disabilities in multiple dimensions, such as demographic characteristics, personal characteristics, job characteristics, and organizational characteristics. To achieve the purpose, a survey was conducted on 900 social workers working at 45 welfare centers for people with disabilities nationwide, and a total of 770 sample were analyzed. Hierarchical regression analysis was used. The main results were as follows. First, age(-) had a significant effect on job satisfaction. Second, resilience(+) was Statistically significant. Third, turnover intention(-) and Feedback(+) Feedback(+) had a significant effect. Finally, organization trust and participative decision-making influenced job satisfaction positively. Based on these findings, implications for expanding the understanding of job satisfaction and enhancing job satisfaction of social workers working at the welfare centers were presented in multiple dimensions.

• The Korean Journal of Applied Statistics
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• v.24 no.2
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• pp.373-381
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• 2011

This paper discusses how to get the sums of squares due to treatment factors when Type I Analysis is used by projections for the analysis of data under the assumption of a two-way ANOVA model. The suggested method does not need to calculate the residual sums of squares for the calculation of sums of squares. There-fore, the calculation is easier and faster than classical ANOVA methods. It also discusses how eigenvectors and eigenvalues of the projection matrices can be used to get the calculation of sums of squares. An example is given to illustrate the calculation procedure by projections for unbalanced data.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 1998.11a
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• pp.225-230
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• 1998

데이터 마이닝은 대용량 데이터베이스의 데이터 사이에 묻혀 있는 '패턴'을 발견하여 규칙을 추론함으로 여러 가지 유용한 지식을 캐내는 기법이다. 본 논문에서는 효과적인 재해관리 시스템을 구축하기 위해서 재해를 분석하고 대책을 마련할 수 있는 데이터 마이닝을 적용한 '데이터베이스 웨어하우스 마이닝 재해관리 데이터베이스 시스템'을 제시하고자 한다. 데이터 웨어하우스 마이닝은 다차원 데이터베이스로 구축되며 재해데이터간의 상호관련성, 특성요인별 패턴을 찾고 재해발생 가능성을 예측함으로써 재해예방의 의사결정을 지원할 수 있다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.11a
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• pp.581-585
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• 2007

본 연구는 비선형적인 시계열 자료로부터 최신 데이터와 유사한 사례를 탐색하여 미래를 예측하기 위하여 유사추론 기법을 이용한 예측 알고리즘을 제안한다. 기존의 연구들이 최신 데이터와 과거 사례와의 유사성을 비교하기 위해 유클리디언 거리 또는 평균 제곱에러 등을 이용하나, 추세의 유사성을 고려하지는 않는다. 본 연구는 사례 구간 크기, 예측 오차, 평균차이 검증, 사례간 추세의 유사성 등 다차원적 유사추론 요인을 이용한 예측방법과 그 효과를 제시한다.

• Korean Journal of Social Welfare Studies
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• v.48 no.4
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• pp.91-120
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• 2017

This study aimed (a) to examine the association between chronic illness and multidimensional disability(i.e., psychological/emotional functions, activity capacity, and participation frequency) among older adults with disabilities, (b) to investigate the effect of formal and informal supports on multidimensional disability, and (c) to analyze the moderating effects of formal and informal supports on the association between chronic illness and multidimensional disability. This study used 2014 Korea Welfare Panel Study(the 9th wave) data and 450 older adults with disabilities aged 50 and over were selected as the study target. The research model was analyzed by structural equation modeling using IBM AMOS 22.0. Based on the ICF framework developed by WHO, health condition was measured by the level of chronic illness; psychological/emotional functions were measured by health satisfaction, self-esteem, and depression; activity capacity was measured by ADLs and IADLs; participation frequency was measured by the total number of social activities joined; formal support was measured by the total number of formal welfare services for people with disabilities utilized; informal support was measured by perceived social support. The findings showed that the level of chronic illness was negatively associated with psychological/emotional functions among the older adults with disabilities. The informal support positively affected psychological/emotional functions and activity capacity, whereas the formal support showed the opposite result. That is, the formal support negatively influenced activity capacity and showed a moderating effect on the association between the level of chronic illness and the psychological/emotional functions in a reverse way. Based on the results, practice and policy implications for alleviating disability level among the older adults with disabilities were discussed.

• Survey Research
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• v.10 no.2
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• pp.115-136
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• 2009

This paper examines the past tendencies of survey study on military organizations and explores the directions and alternatives of research study based on one of the main military characteristics of rank structure. Military survey study has limitations in confirming the credibility of the research results and in supporting implications on the diverse subjects due to the constraining research environment in the military. This study deduced survey designs and analytic methods fit for the research objective upon multidimensionally grasping the characteristics of the hierarchical rank structure which influences the survey process aid its result crucially. It proposes that the future direction of military survey study is to elaborate research method and multidimensionalize analytic methodology. More specifically. this paper insists that it is necessary to design method and process of the survey delicately and to develop analytic methodology which can analyze diverse factors.

• Journal of KIISE:Databases
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• v.30 no.1
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• pp.80-94
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• 2003

In this paper. we propose an enhanced concurrency control algorithm that minimizes the query delay efficiently. The factors that delay search operations and deteriorate the concurrency of index structures are node splits and MBR updates in multi dimensional index structures. In our algorithm, to reduce the query delay by split operations, we optimize exclusive latching time on a split node. It holds exclusive latches not during whole split time but only during physical node split time that occupies small part of whole split time. Also to avoid the query delay by MBR updates we introduce partial lock coupling(PLC) technique. The PLC technique increases concurrency by using lock coupling only in case of MBR shrinking operations that are less frequent than MBR expansion operations. For performance evaluation, we implement the proposed algorithm and one of the existing link technique-based algorithms on MIDAS-III that is a storage system of a BADA-III DBMS. We show through various experiments that our proposed algorithm outperforms the existing algorithm In terms of throughput and response time.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.741-743
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• 2015

오늘날 BI(Business Intelligence)시스템 다차원 데이터를 다루는 많은 방법들이 제안되어 TB 이상의 데이터를 다룰 수 있다. 하지만 IT 전문가 및 IT에 대한 투자여력이 충분하지 않은 중소 제조 기업들은 발 맞춰가기 힘들다. 또한 생산관리시스템(MES)을 미 도입한 기업이 대다수이고, 존재하는 현장데이터의 대부분도 수기데이터 또는 Excel 데이터로 보관 되어 있어, 수작업에 의한 데이터 분석과 의사결정을 수행한다. 이로 인해, 불량 요인 파악이나 이상 현상 파악이 불분명하기 때문에 데이터 분석에 어려움을 겪는다. 이에 본 연구에서는 중소제조기업의 경쟁력 강화를 위하여 제조 기업현장에서 사용되는 데이터를 자동으로 수집하여 정제 및 처리하여 저장이 가능하도록 하는 빅 데이터 분석 시스템 모델을 개발하였다. 이 분석 시스템 모델은 ERP, MIS 등에 존재하는 데이터들이 각 시스템의 DB 기능을 활용하여 데이터를 추출하고 정제하여 수집하는 ETL(Extract Transform Loading)과정을 통한다. 현장에서 비정형으로 기록되고 있는 정보들(ex. Excel)은 ODE(Office Data Excavation)모듈을 통해 문서의 패턴을 자동으로 인식하고 정형화된 정보로서 추출, 정제되어 수집된다. 저장된 데이터는 오픈소스 데이터 시각화 라이브러리인 D3.js를 이용하여 다양한 chart들을 통한 강력한 시각효과를 제공함으로써, 정보간의 연관 관계 및 다차원 분석의 기반을 마련하여 의사결정체계를 효과적으로 지원한다. 또한, 높은 가격에 형성되어 있는 빅데이터 솔루션을 대신해 오픈소스 Spago BI를 이용하여 경제적인 빅 데이터 솔루션을 제공한다. 본 연구의 기대효과로는 첫째, 현장 데이터 중심의 효과적인 의사결정 기반을 마련할 수 있다. 둘째, 통합 데이터 기반의 연관/다차원 분석으로 경영 효율성이 향상된다. 마지막으로, 중소 제조기업 환경에 적합한 분석 시스템을 구축함으로써 경쟁력과 생산력을 강화한다.

• Management & Information Systems Review
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• v.36 no.5
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• pp.61-83
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• 2017

The purpose of this study is to investigate the mediating effects of psychological empowerment between participative leadership and creative behavior. Especially, it aims to analyze the unidimension and multidimension of psychological empowerment in an integrated manner, and to suggest effective practice of participative leadership together with theoretical and methodological implications. In this study, the dependent variable was measured separately with time lag as a method to solve the common method bias that can be shown by the self-report type survey method, and positive emotions and negative emotions expressing emotional states in job situations were employed as control variables along with rank. A total of 283 questionnaires were collected from employees who work for companies in various industries with more than 300 domestic employees. SPSS PROCESS macro program('model 4') was used for statistical analysis. Results, First, the full mediation effect of psychological empowerment(unidimension) was confirmed in the relationship between participative leadership and creative behavior. Second, the analysis of the multidimension of psychological empowerment revealed the full mediating effect of meaning, self-determination, and impact, and the mediating effect of competence was not significant. Third, as a result of comparing the mediating effects of unidimension of psychological empowerment and the mediating effects of multidimension, the magnitude of mediating effect of unidimension was found to be much greater than mediating effect of multidimension. And The magnitudes of the three multidimensional mediating effects were similar. This is a case in which the motivational model of participative leadership revealed in the overseas study is proven in the domestic management environment and is significant in that it is the basis of future research. Based on the results of the empirical studies, the implications and limitations of the study and future research directions are presented.

• 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.