• 제목/요약/키워드: Causal Chain

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모기업과 협력기업의 공급망 품질경영 인프라(Infra), 프로세스(Process), 성과(Performance)간 인과관계 연구 (Causal Relationship of Infra, Process and Firm Performance on Supply Chain Quality Management)

  • 박지영;오수정;김수욱
    • 품질경영학회지
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    • 제39권4호
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    • pp.464-479
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    • 2011
  • The purpose of this study is that analyzing the causal relationship between Infra, Process and Performance of companies which are executing the Supply Chain Quality Management(SCQM) with their subcontractors and partners. Korean Standards Association(KSA) provides the Supply Chain Quality Management Model and Quality Collaboration Index for 4 years, but a few study has investigated the critical variables and their causal relationship to organizational performance. Therefore we examine the SCQM model and related index and choose the quality, human resource and risk management processes for identifying the path to organizational performance. In addition, exploratory factor analysis is conducted for figuring out the major factors among the 3 processes. Structural Equation Model are successively used for determining which characteristics of the infra and processes are the most critical variables to performance. The data was collected from KSA and composed of 52 companies and 346 their partners. The result shows that risk management process has no significant effect on the organizational performance and pre-production process collaboration.

인과적 사슬구조에서의 범주기반 속성추론 (Category-based Feature Inference in Causal Chain)

  • 최인범;이형철;김신우
    • 감성과학
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    • 제24권1호
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    • pp.59-72
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    • 2021
  • 개념과 범주는 관찰하지 못한 속성을 추론할 수 있는 기반을 제공한다. 무의미 속성을 사용한 범주기반 속성추론 연구들은 범주 및 속성의 유사성이 추론을 설명하는 핵심 요인이라는 것을 제안했다(Rips, 1975; Osherson et al., 1990). 이후 연구들은 사람들의 사전지식이 범주기반 추론에 막대한 영향을 미치며 심지어 유사성 효과가 완전히 사라지는 경우도 있음을 보고했다. 본 연구는 범주 속성들이 사전지식의 한 종류인 인과적 지식에 의해 사슬구조로 연결되었을 때의 범주기반 속성추론을 검증했으며 그 결과를 예측하는 속성추론모형을 제안했다. 참가자들은 네 개의 속성들이 사슬구조를 이루는 인과적 범주를 학습한 뒤 해당 범주의 다양한 범주 예시들의 숨겨진 속성에 대한 추론을 실시했다. 그 결과 인과적으로 직접 연결된 속성뿐만 아니라 다른 속성 노드에 의해 차폐된 속성들도 추론에 영향을 미치는 비독립성이 나타났다(인과적 마코프 조건의 위배). 인과모형이론(Sloman, 2005)에 기반한 속성추론모형을 적용하여 참가자들의 추론을 모델링한 결과 인과적 연결의 직접 효과뿐만 아니라 간접 효과 즉 인과추론의 비독립성도 예측하는 것으로 나타났다. 다만 간접적으로 연결된 속성들은 인과적 거리와 무관하게 참가자들의 추론평정에 동일하게 영향을 미쳤지만 모형은 거리가 멀어짐에 따라 추론에 미치는 영향이 작아짐을 예측했다.

균형성과표의 네 관점에 대한 인과관계 분석 : SCM 추진기업들의 경영성과를 중심으로 (Analysis of the Causal Relationship of Perspectives of Balanced Scorecard for SCM)

  • 장형욱
    • 한국산업정보학회논문지
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    • 제11권5호
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    • pp.1-10
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    • 2006
  • 본 연구는 공급사슬관리(SCM) 활동측면에서 발생하는 경영성과를 BSC 의 네 가지 관점으로 측정하였다. 네 가지 관점으로는 재무관점, 고객관점, 내부 프로세스관점, 학습 및 성장관점이 있으며, 이들 네 가지 관점들은 서로간의 인과관계가 있다. 따라서 SCM 을 추진하고 있는 기업들을 대상으로 이들 네 관점들에 대한 인과관계가 있음을 실증분석을 통하여 살펴보고자 하였다. 이를 위하여 국내 SCM 을 추진 중인 134개 상장기업의 데이터를 사용하였으며 SPSS 12.0과 Amos 4.0을 이용하여 빈도분석, 요인분석, 신뢰성분석, 그리고 구조방정식 등을 수행하였다. 연구결과, 학습 및 성장성과, 내부 프로세스성과, 고객성과는 재무성과에 유의적인 영향을 주었으며, 학습 및 성장성과는 내부 프로세스성과와 고객성과에 긍정적인 영향을 미쳤다. 내부 프로세스성과의 경우에는 재무성과에 영향을 미쳤으나 고객성과에 유의하지 않은 것으로 나타났다. 이러한 결과는 내부 프로세스성과가 재무성과에 미치는 영향이 크기 때문인 것으로 판단된다.

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SCM 운영변화요인이 SCM 구성요소(IT시스템, HR)을 매개로 경영성과에 미치는 영향에 관한 연구 (A Study on the Effect of SCM Operational Change Factors on Management Performance through SCM Components (IT system, HR))

  • 김민경;이다솔;김원교
    • 산업경영시스템학회지
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    • 제43권1호
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    • pp.87-109
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    • 2020
  • Supply chain management can be defined as an information system that connects the inside and outside of a company. Its purpose is to systematically and strategically manage the flow of information, resources and services to improve the long-term performance of the entire organization, including individual companies connected to the supply chain, and the quality of service provided to customers. The ultimate goal of SCM is to create synergy through organic integration of supply and demand based on cooperation and collaboration with stakeholders in the supply chain. This study is based on the hypothesis that the company's management performance will improve as the level of SCM improves. Most of the previous studies dealt with the relationship between corporate performance and SCM in the IT area. In this study, research was conducted through human capacity with IT system. The causal relationship was demonstrated, and there was a difference in the perception of the results of this study depending on whether or not smart factories were consulted in the era of the 4th Industrial Revolution. There is a need to examine the links between management's value chain and its causal relationship.

Effect of Agricultural Exports and Imports on Economic Growth in Bangladesh: A Study on Agribusiness Supply Chain

  • HASAN, Mostofa Mahmud;HOSSAIN, BM Sajjad;SAYEM, Md. Abu;AFSAR, Mahnaz
    • 유통과학연구
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    • 제20권11호
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    • pp.79-88
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    • 2022
  • Purpose: The purpose of this study was to determine the effect of agricultural exports and imports on economic growth in Bangladesh and propose an upgraded and customized model of the supply chain for agribusiness growth in Bangladesh to achieve plain sailing and systematic operation and financial gains at home and abroad. Research design, data, and methodology: All data in the research have been collected from secondary sources. Gross domestic product was used as the dependent variable and exports and imports of agricultural products were used as independent variables. Pairwise Granger causality was utilized to see the impact of the variable responsible for the economic growth in Bangladesh and the causal relationship between the variables analyzed was measured using Johansen co-integration test. Results: From the empirical analysis, the researchers observed that agricultural commodity imports and exports have a unidirectional impact on economic growth in Bangladesh and a long-run causal link with economic growth in Bangladesh. The suggested supply chain model of agribusiness aids in achieving smooth operations, systematic management, and monetary gains both domestically and internationally. Conclusions: This paper contributes to the development of a more effective and profitable agribusiness supply chain in Bangladesh systematically through their theoretical and practical implications.

세 사건간의 인과관계 판단 (Inferring the Causal Relationship between Three Events)

  • 도경수;최재혁
    • 인지과학
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    • 제21권1호
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    • pp.47-75
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    • 2010
  • 인과도식에 의한 하향처리 과정과 빈도 자료 해석에 의한 상향처리 과정이 어떻게 작동하는 지를 알아보기 위해, 세 사건들의 빈도 자료를 주고 인과관계를 판단하게 하였다. 중성 사건들을 주고 판단하게 한 실험 1에서는 Or 구조의 정답율이 높았다. 인과도식 정보와 빈도자료를 주고 판단하게 한 실험 2에서는 Or 구조의 정답율이 높았고, 인과도식과 빈도자료가 일치할 때 정답율이 높았다. 정반응 수와 오반응 수를 대상으로 반응에 이르는 인지과정을 이산적인 과정들의 조합으로 가정하는 Multinomial Processing Tree Modeling을 실시하였다. 모델 피팅 결과 사람들이 빈도자료를 이용하여 인과 구조를 판단할 때 기본적으로 작동하는 인과 도식이 Or 구조라는 점을 시사하는 결과를 얻었다.

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기업간 정보시스템이 공급사슬 파트너쉽 및 성과에 미치는 영향 분석 (Analysis of Interorganizational Systems Effect to Supply Chain Partnership and Performance)

  • 한현수;송영화;노지철
    • Journal of Information Technology Applications and Management
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    • 제13권2호
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    • pp.41-54
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    • 2006
  • In this paper, we investigate the inter-organizational information systems effect to supply chain partnerships, and subsequently to the performance. The conceptual model for the causal relationships among interorganizational systems usage, interaction, partnership, and supply chain performances has been developed. Theoretical framework is based on the partnership research in relationship marketing area, and the interaction model from IMP group. The questionnaires are designed to test the hypotheses of the conceptual model. The survey result supports our hypotheses that collaborative IT effects to increase the interaction between the firms, and interaction causes to enhance the partnership quality. Also, the level of partnership shows strong positive correlation with the supply chain performances. Despite the limitations of collected sample data size, our study reveals the fact that inter-organizational information systems contribute to supply chain performance through enhancing the interaction and partnership level between the supply chain partners. Our research result is distinct from the most extant literatures that investigated the firm's collaboration impact on interorganizational systems usage.

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BSC에 기반한 SCM 성과간의 인과관계 분석 (The analysis of causal relationship of SCM performance based on BSC framework)

  • 김미애;서창교
    • 한국정보시스템학회지:정보시스템연구
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    • 제23권4호
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    • pp.75-91
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    • 2014
  • The effective supply chain management(SCM) is a matter of survival in many firms because successful supply chains will effectively coordinate their processes, focus on delivering customer value, eliminate unnecessary costs in key functional areas, and create performance measurement systems. The balanced scorecard(BSC) is widely used to measure the performance of the SCM. The BSC framework suggests that balance is obtained by adopting performance measures from four different areas. In this study, we analyzed the causal relationship of SCM performance based on BSC framework. First, we reviewed the nested causal relationships among four different perspective of the BSC, namely, business process perspective, customer perspective, financial perspective, and innovation and learning perspective. Then, we used the chi-square difference test to identify the best model to fit the causal relationship of SCM performance. Of the 800 questionnaires posted, a total of 265 questionnaires were returned after one follow-up. A total of 66 questionnaires were eliminated due to largely missing values. The major finding says alternative model 3 is dominant to other models to fit causal relationships among four different perspective of the BSC. Innovation and learning perspective positively influence on customer perspective, business process perspective, and financial perspective. Business process perspective also positively influence on customer perspective and financial perspective whereas customer perspective does not influence on financial perspective significantly.

인과 2D 은닉 마르코프 모델 (Causal 2D Hidden Markov Model)

  • 신봉기
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제28권1호
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    • pp.46-51
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    • 2001
  • 2D로 확장한 HMM은 다수 제안되었지만 엄밀한 의미에 있어서 2D HMM이라고 하기에 부족한 점이 많다. 본 논문에서는 기존의 랜덤 필드 모형이 아닌 새로운 2D HMM을 제안한다. 상하 및 좌우 방향의 causal chain 관계를 가정하고 완전한 격자 형성 조건을 두어 2D HMM의 평가, 매개 변수를 추정하는 알고리즘을 제시하였다. 각각의 알고리즘은 동적 프로그래밍과 최우 추정법에 근거한 것이다. 변수 추정 알고리즘은 반복적으로 이루어지며 국소 최적치에 수렴함을 보였다.

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한/중 물류산업의 SCM 전략에 대한 연구 (A Study on the SCM Strategy of Korea & China Logistic Industrial)

  • 최창열
    • 통상정보연구
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    • 제10권1호
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    • pp.237-256
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    • 2008
  • In recent years, most of Supply Chain Management literature has emphasized the importance of information sharing among supply chain partners, but empirical researches are few until now, especially in Korea. The purpose of this study is to develop an empirical model focusing on information exchange among partners in supply chain, and to analyze the main factors influencing the causal relationship between information exchange and performance. Based on cross-sectional questionnaire survey on Korean manufacturing firms, this study analyzed the factors influencing information exchange such as environmental factors, organizational factors, relationship factors, and information characteristics of the sample firms. Our major findings might provide many useful insights for managers in exploring the most efficient system for information exchange among partners in the context of SCM.

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