K공사를 중심으로

학위논문(석사) -- 서울대학교대학원 : 행정대학원 공기업정책학과, 2021.8. 고길곤.본 연구는 지식기반사회에서 공기업의 조직경쟁력과 행정서비스의 질을 높이기 위해서 조직구성원들 간에 원활한 지식공유가 필요하다는 전제하에, 조직구성원의 신뢰를 독립변수로 설정하고 지식공유행동을 종속변수로 설정하였으며, 조직구성원의 신뢰가 지식공유의도를 통해 지식공유행동에 어떠한 영향을 미치는지에 대해 실증적으로 분석하였다. 설문조사는 위탁집행형 준정부기관인 K공사의 직원 6,461명을 대상으로 실시하였으며, 이중 유효한 670명의 설문데이터를 분석으로 활용하여 다음과 같은 결과를 도출하였다. 첫째, 상사에 대한 신뢰와 조직에 대한 신뢰는 지식공유의도에 통계적으로 유의하지 않게 나타난 반면, 동료에 대한 신뢰와 행동에 대한 신뢰는 통계적으로 정(+)의 영향을 미치는 것으로 나타났다. 둘째, 지식공유의도는 지식공유행동의 선행요인으로 통계적으로 정(+)의 영향을 미치는 것으로 나타났다. 셋째, 지식공유의도의 매개효과 분석 결과에 대해 살펴보면 지식공유의도는 동료에 대한 신뢰와 지식공유행동의 관계에서 부분매개효과가 있는 것으로 나타났으며, 행동에 대한 신뢰와 지식공유행동의 관계에서는 완전매개효과가 있는 것으로 분석되었다. 이러한 결과는 계층적 구조를 띄는 ‘조직’이라는 집합체의 구성원으로서 개인의 ‘자발적 의지’의 관점에서, 상사 및 조직에 대한 신뢰는 동료 및 행동에 대한 신뢰에 비해 자발성보다는 소속감, 충성심 및 의무감 등을 가지고 지식공유의도의 매개 없이 지식공유행동과 관계하는 것으로 해석해 볼 수 있다.This study empirically analyzed how trust of organization members affect knowledge sharing behavior through intention to share knowledge, assuming that smooth knowledge sharing among organization members is necessary to improve organizational competitiveness and quality of administrative services. The survey was conducted on 6,461 employees of K-public enterprise, an entrusted quasi-government organization, and 670 valid survey data were used as an analysis to produce the following results. First, trust in the supervisor and trust in the organization have been shown to be not statistically significant in intention to share knowledge, while trust in co-worker and trust in behavior have statistically positive effects. Second, it has been shown that intention to share knowledge has a statistically positive effect as a antecedent factor in knowledge sharing behavior. Third, looking at the results of the analysis of the mediation effect of intention to share knowledge, it was analyzed that intention to share knowledge has a partial mediation effect in the relationship between trust in co-worker and knowledge sharing behavior and a full mediation effect in the relationship between trust in behavior and knowledge sharing behavior. From the perspective of an individual's 'voluntary willingness' as a member of an 'organization' that has a hierarchical structure, these results can be interpreted that trust in the supervisor and trust in the organization are related to knowledge sharing behavior than trust in co-worker and trust in behavior with a sense of belonging, loyalty, a sense of duty, etc. rather than spontaneity, without a mediation of intention to share knowledge.제 1 장 서 론 1 제 1 절 연구의 배경 및 목적 1 제 2 절 논문의 구성 4 제 2 장 이론적 배경 5 제 1 절 합리적 행위 이론 5 제 2 절 지식공유 7 1. 지식의 개념 및 유형 7 2. 지식공유의 개념 11 제 3 절 신 뢰 13 1. 신뢰의 개념 13 2. 신뢰의 유형 14 제 4 절 선행연구 고찰 16 제 3 장 연구방법 21 제 1 절 연구모형 21 제 2 절 연구가설 22 1. 조직구성원의 신뢰와 지식공유의도의 관계 22 2. 지식공유의도와 지식공유행동의 관계 23 3. 지식공유의도의 매개효과 24 제 3 절 변수의 조작적 정의 25 1. 조직구성원의 신뢰 25 2. 지식공유의도 26 3. 지식공유행동 26 제 4 절 실증연구의 절차 27 1. 자료의 수집 27 2. 설문지의 구성 27 3. 자료의 분석방법 29 제 5 절 측정도구의 타당성 및 신뢰성 분석 30 1. 조직구성원의 신뢰 30 2. 지식공유 33 제 4 장 실증분석 결과 35 제 1 절 인구통계학적 특성 분석 35 제 2 절 기술통계 분석 37 제 3 절 상관관계 분석 38 제 4 절 연구가설 검증 및 해석 40 1. 가설 1의 검증 및 해석 40 2. 가설 2의 검증 및 해석 43 3. 가설 3(매개효과)의 검증 및 해석 45 제 5 장 결 론 51 제 1 절 연구결과 요약 51 제 2 절 연구의 사사점 53 제 3 절 연구의 한계 및 향후 연구 방향 54 참고문헌 56 Abstract 71석

OFDM 기반의 셀룰라 통신 시스템에서의 효율적인 동기 채널 및 방송 채널 송수신 기법에 관한 연구

Docto

Effect of anti-oxidant, quercetin on urinary stone formation

Thesis(doctors)--서울대학교 대학원 :의학과 비뇨기과학전공,2008.2.Docto

수산칼슘요석 환자에서 장내 Oxalobacter formigenes와 요중 수산 농도의 관련성

학위논문(석사)--서울대학교 대학원 :의학과 비뇨기과학전공,2003.Maste

(A) Study on the Relationship between Ladder diagram and

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Network Analyzer를 이용한 지상용 SAR 시스템 구현

Maste

(An) Integration of Feature-Oriented Reuse Method (FORM) and Capability Maturity Model (CMM) for Software Product Line Implementation

Maste

Effects of hospital competition on the average length of stay and cost per inpatient day

학위논문(박사)--서울대학교 대학원 :의학과 의료관리학전공,2006.Docto

급성심근경색증 환자의 서비스 질 평가를 위한 사망 예측 모형 개발

학위논문(석사)--서울대학교 대학원 :보건학과 보건학전공,2001.Maste

Computational Approach to Optimization of Heterogeneous Metallic Materials Using Microstructure-Based Constitutive Model

DoctorMicrostructural features in metallic materials control the bulk properties and the performances by interacting each other during deformation. New alloy-design always has great potential to reach the outstanding area on the conventional property space through totally different deformation mechanism, but at the same composition, microstructure is the most dominant factor in physical properties. In order to achieve the best performance within a confined property space, many studies has been active on improving physical properties by controlling microstructure through various process including severe plastic deformation (SPD), surface modification, and heat treatment. Recently, new attempts have been made to manufacture more complex microstructures in order to surpass the limitations of conventional microstructures. These complex microstructures with the superior performances by artificially generated ‘spatial heterogeneity’ are called heterostructures. Although heterostructures have higher potential for improvement than homogeneous structures, it is more difficult to determine the correlation between structure and properties as the structure becomes complicated. Today, computer aided engineering (CAE) is the essential task in accelerating material design by narrowing down the area of interest in the infinite number of cases. Three-dimensional (3D) microstructure-based model offers an understanding of the mechanical behavior of materials from microscopic level, which allows more accurate prediction of final properties in bulk level. Nevertheless, there are some practical issues in implementing this model such as the complexity of modeling the unique deformation mechanism considering microstructural features and the high computational cost, especially for heterostructures. From this point of view, this thesis is dedicated to two goals: i) to develop a constitutive model for heterostructure based on its unique deformation behavior, and ii) to optimize microstructures with efficient investigation algorithms combined with finite element (FE) simulation. To establish the deformation mechanism of heterostructure, deformation behavior of harmonic structured materials (HSMs), a type of 3D isotropic heterostructure, is investigated in microscopic level. The high strain partitioning and the steep strain gradient is observed along the grain size gradient, due to the plasticity incompatibility during deformation. This incompatibility is compensated by geometrically necessary dislocations (GNDs), which cause hetero-deformation induced hardening. The quantitative analysis is performed for this additional hardening effect in the heterostructure, and a constitutive model is developed based on the relationship between the spatial heterogeneity and GND evolution. Microstructure-based simulation requires not only a reliable model but an appropriate representative volume element (RVE). 3D RVE is acquired by synthesizing 3D microstructure as statistically equivalent to real microstructure. To evaluate the effectiveness of 3D microstructure modeling, the thermo-mechanical FE simulations of Al-SiC composite are performed using statistically synthetic microstructures and other conventional models. It is confirmed that this scheme with statistical information is very efficient in terms of the accuracy, flexibility, and computational cost. Finally, the structure-property (SP) linkage for a heterostructure is constructed by Bayesian inference using microstructure-based simulations. Gaussian process regression (GPR) is executed for probabilistic investigation based on expected improvement (EI) and uncertainty of predictions. Gaussian process is utilized as a surrogate model between the low-dimensional representation of microstructures using correlation statistics and the physical properties predicted by FE simulation. As a result, SP linkage for SS304L HSM is successfully built using a small number of FE simulations, exhibiting high accuracy over a wide range of microstructures. In addition, the investigation based on the EI proposes the optimal heterostructure with target properties using even smaller number of full-field simulations, which is identical to the microstructure revealed by FE simulation for all candidates. The proposed framework provides an efficient means of accelerating the design of general heterostructures