• 제목/요약/키워드: Hierarchy of effects model

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상호효과형 DHP모형의 설계 (Design of a DHP Model Considering Cross Effects)

  • 강일중;이재하;권철신
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 2007년도 추계학술대회 및 정기총회
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    • pp.156-159
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    • 2007
  • In this study, we developed a new methodology. That is Cross effects type dicho-hierarchy process(CEDHP) model, which determines priorities of project alternatives through evaluating project alternatives as the dicho-hierarchy composed of the strategy and technology field, and estimating cross effects as the cross-impacts between projects completion times.

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The effect of missing levels of nesting in multilevel analysis

  • Park, Seho;Chung, Yujin
    • Genomics & Informatics
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    • 제20권3호
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    • pp.34.1-34.11
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    • 2022
  • Multilevel analysis is an appropriate and powerful tool for analyzing hierarchical structure data widely applied from public health to genomic data. In practice, however, we may lose the information on multiple nesting levels in the multilevel analysis since data may fail to capture all levels of hierarchy, or the top or intermediate levels of hierarchy are ignored in the analysis. In this study, we consider a multilevel linear mixed effect model (LMM) with single imputation that can involve all data hierarchy levels in the presence of missing top or intermediate-level clusters. We evaluate and compare the performance of a multilevel LMM with single imputation with other models ignoring the data hierarchy or missing intermediate-level clusters. To this end, we applied a multilevel LMM with single imputation and other models to hierarchically structured cohort data with some intermediate levels missing and to simulated data with various cluster sizes and missing rates of intermediate-level clusters. A thorough simulation study demonstrated that an LMM with single imputation estimates fixed coefficients and variance components of a multilevel model more accurately than other models ignoring data hierarchy or missing clusters in terms of mean squared error and coverage probability. In particular, when models ignoring data hierarchy or missing clusters were applied, the variance components of random effects were overestimated. We observed similar results from the analysis of hierarchically structured cohort data.

The Effect of Hierarchy Culture on Clan Leadership and Organizational Commitment of Export-Driven SMEs

  • KIM, Hyuk Young
    • 산경연구논집
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    • 제11권4호
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    • pp.19-30
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    • 2020
  • Purpose: The purpose of this study examines the mediating effect of clan leadership in the relationship between hierarchy culture and organizational commitment. Most previous research focused on the relationship between organizational culture and organizational performance or organizational culture and job satisfaction. There are few empirical studies that focus on organizational commitment data because it is difficult to collect in many cases of export-driven small and medium sized enterprises. However, this research measures affective commitment, continuance commitment, and normative commitment differently than previous research, which is mostly focused on the hierarchy culture, clan leadership, and organizational commitment measurements. Research design, data, methodology: Conceptual research model is based on the studies of Cameron and Quinn (2011), and Gungor and Sahin (2018). The model is designed with three constructs such as hierarchy culture, organizational commitment, and clan leadership. The monitor culture and coordinator culture are as proxy for the hierarchy culture. The affective commitment, continuance commitment, and normative commitment are as proxy for the organizational commitment. And also the facilitator leadership and mentor leadership are as proxy for the clan leadership. Based on three hundred cases such as export-driven small and medium sized enterprises (SMEs), this study verify the hypothesis. Hypothesis was analyzed with the structural equation modeling. Results: In case of export-driven small and medium sized enterprises (SMEs), clan leadership acts as a mediator in the relationship between hierarchy culture and organizational commitment. In case of export-driven small and medium sized enterprises (SMEs) with high organizational commitment, clan leadership acts as a mediator in the relationship between hierarchy culture and organizational commitment. In case of export-driven small and medium sized enterprises (SMEs) with low organizational commitment, clan leadership did not act as a mediator in the relationship between hierarchy culture and organizational commitment. Conclusions: By controlling for the mediating effect of clan culture, this study have improved the academic contributions as well as policy and practical implications through empirical study of clan leadership that affect organizational commitment in the fields of hierarchy culture. In addition, this study means that the mediating effects on the variables of clan leadership were examined.

지방 대학생들의 창업 및 창업프로그램 인식에 관한 정성적 연구: 효과위계모형을 통한 접근 (Qualitative Study on Local College Students' Perception of Entrepreneurship and Entrepreneurship Programs: Approach through Hierarchy of Effects Model)

  • 정윤희
    • 산업융합연구
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    • 제21권12호
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    • pp.1-10
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    • 2023
  • 정부의 청년 창업 장려 정책과 함께 대학별로 창업을 활성화하기 위한 많은 노력을 하고 있고, 대학의 창업 프로그램은 대학생들의 창업을 지원하고 활성화할 수 있는 가장 중요한 부분이라 할 수 있다. 하지만 대학내 창업 프로그램에 대한 관심과 참여는 낮은 편이기 때문에, 창업과 창업 프로그램에 대한 관심과 참여를 올리기 위해서는 학생들의 창업과 창업 프로그램에 대한 인식을 심층적으로 살펴볼 필요가 있다. 따라서 본 연구에서는 효과위계모형을 활용하여 각 단계별 대학생들의 인식을 탐색하고 창업프로그램 참여를 방해하는 병목요인들을 파악하고자 하였다. 이를 위해 창업과 창업프로그램에 대한 다른 수준의 관심과 참여를 가진 표본들을 활용해 표적집단면접법과 심층면접법을 실시하였으며, 효과위계모형의 각 단계별 병목 요인들(창업욕구관련 9개 요인, 창업 프로그램 인지관련 4개 요인, 태도관련 7개 요인, 참여&참여의도관련 5개 요인)을 제시하였다. 이러한 결과는 정량적 연구에 치중되어 있던 창업 연구를 보완하고 있으며, 특히 지방대학교 사례를 중심으로 접근함으로써 중요한 실무적 시사점을 더하고 있다.

Using DEA and AHP for Hierarchical Structures of Data

  • Pakkar, Mohammad Sadegh
    • Industrial Engineering and Management Systems
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    • 제15권1호
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    • pp.49-62
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    • 2016
  • In this paper, we propose an integrated data envelopment analysis (DEA) and analytic hierarchy process (AHP) methodology in which the information about the hierarchical structures of input-output data can be reflected in the performance assessment of decision making units (DMUs). Firstly, this can be implemented by extending a traditional DEA model to a three-level DEA model. Secondly, weight bounds, using AHP, can be incorporated in the three-level DEA model. Finally, the effects of incorporating weight bounds can be analyzed by developing a parametric distance model. Increasing the value of a parameter in a domain of efficiency loss, we explore the various systems of weights. This may lead to various ranking positions for each DMU in comparison to the other DMUs. An illustrative example of road safety performance for a set of 19 European countries highlights the usefulness of the proposed approach.

Comprehensive evaluation of cleaner production in thermal power plants based on an improved least squares support vector machine model

  • Ye, Minquan;Sun, Jingyi;Huang, Shenhai
    • Environmental Engineering Research
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    • 제24권4호
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    • pp.559-565
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    • 2019
  • In order to alleviate the environmental pressure caused by production process of thermal power plants, the application of cleaner production is imperative. To estimate the implementation effects of cleaner production in thermal plants and optimize the strategy duly, it is of great significance to take a comprehensive evaluation for sustainable development. In this paper, a hybrid model that integrated the analytic hierarchy process (AHP) with least squares support vector machine (LSSVM) algorithm optimized by grid search (GS) algorithm is proposed. Based on the establishment of the evaluation index system, AHP is employed to pre-process the data and GS is introduced to optimize the parameters in LSSVM, which can avoid the randomness and inaccuracy of parameters' setting. The results demonstrate that the combined model is able to be employed in the comprehensive evaluation of the cleaner production in the thermal power plants.

광고가 종업원의 조직 동일시에 미치는 구조적 영향관계에 관한 연구 -현대중공업 광고를 대상으로- (A study on structural relation between advertising and employee's organizational identification -Targeting Hyundai Heavy Industries's advertising-)

  • 박주식
    • 경영과정보연구
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    • 제30권3호
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    • pp.57-84
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    • 2011
  • 본 연구에서는 심리적 계약이론, 사회적 정체성 이론, 효과계층모형을 이론적 근거로 하여 광고가 종업원의 조직 동일시에 미치는 영향에 관한 구조적 모형을 제시하였다. 연구결과, 광고 정확성은 광고태도에 유의한 영향을 미치는 것으로 나타났으나 광고 관련성은 유의한 영향을 미치지 않았다. 그리고 광고태도는 조직 동일시에 긍정적인 영향을 미치는 것으로 나타났다. 특히 본 연구의 결과는 광고에 대한 종업원의 평가가 광고태도를 매개로 하여 조직 동일시에 영향을 미치는 관계를 밝혔다는 점에서 이론적 의의가 있다.

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Determining Key Ecological Indicators for Urban Land Consolidation

  • Kuo-Liang Lin
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.513-524
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    • 2009
  • Urban land consolidation, which is to reform land parcels to remove fragmentation and produce ideal blocks, is an effective means for urban renewal. Successful urban land consolidation brings out great benefits to the city officials as well as general public, such as improved city image, increased land value, and more effective land use. However, urban land consolidation can be detrimental to environment, especially in the ecological aspects, while the execution of land consolidation has been focused solely on development for the sake of human benefits. To remove negative effects of urban land consolidation to the ecological system, this paper is intended to establish a set of criteria for evaluating ecological impacts of an urban land consolidation plan. Firstly, key ecological indicators are identified using a special group decision-making process called "habitual domain analysis" and then individual weighting of each indicator is recorded by analytical hierarchy process. An urban ecological evaluation model with 4 levels and 23 indicators is thus developed.

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AHP와 ANP를 이용한 기술기여도에 관한 연구 (A study on the degree of influence of technology by AHP and ANP)

  • 홍두화;정민용
    • 대한안전경영과학회지
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    • 제8권4호
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    • pp.167-180
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    • 2006
  • The ANP(Analytic Network Process), though based on the AHP(Analytic Hierarchy Process), is a system for the analysis, synthesis, and justification of complex decisions with the capability to model non-linear relations between the elements. ANP allows the decision makers to leap beyond the traditional hierarchy to the interdependent environment of network modeling. The ANP is designed for problems characterized by the added complexity of interdependencies such as feedback and dependencies among problem elements. Using a network approach makes it possible to represent and analyze interactions, incorporate non-linear relations between the elements, and synthesize mutual effects by a single logical procedure. This study intends to evaluate the contribution of technology in intangible assets by the AHP and ANP.

J 적분을 이용한 뼈와 유사한 재료의 파괴 해석 (Fracture Analysis of Bone-Like Materials Using J integral)

  • 이창우;;범현규
    • 한국정밀공학회지
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    • 제27권9호
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    • pp.52-57
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    • 2010
  • The analysis of a crack in a bone-like material is performed numerically. The bone-like material is hierarchically structured and each hierarchy is structured by mineral platelets and protein matrix through staggered arrangement. Mechanical behavior of the composite can be analyzed using tension shear chain model. The Dugdale model is adopted to evaluate the fracture energy of Bone-like material. The fracture energy dissipation is assumed to concentrate within a strip near the crack tip along the prospective crack path. Fracture criterion of the bone-like material is estimated by using J integral. Effects of hierarchical level, ratio of elastic modulus of mineral to protein, aspect ratio of mineral platelet and volume fraction on J integral are investigated. It is found that the J integral decreases as elastic modulus ratio and hierarchy level increase. It is also shown that the J integral increases as the volume fraction and aspect ratio decrease.