• 제목/요약/키워드: Dynamic Relationships

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Systems Thinking on the Dynamics of Knowledge Growth - A Proposal of Dynamic SICI Model -

  • Kim, Sang-Wook;Lee, Bum-Seo
    • Korean System Dynamics Review
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    • v.6 no.2
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    • pp.5-23
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    • 2005
  • This paper investigates a dynamic mechanism underlying the process of knowledge creation and evolution with a focus on the SECI model(standing for Socialization, Externalization, Combination, Internalization) as proposed by Nonaka and Takeuchi(1991) and broadly accepted especially among the practitioners in knowledge management field. The SECI model provides with intuitive logic and clear delineation of knowledge types between the tacit and the explicit, and embodies an interaction dynamic. However explanations of the propelling forces for the knowledge transfer over the four quadrants of the model is yet to be made. And the transmission mechanisms are not prescribed though the model mentions knowledge is created and evolved in a spiral process. This paper, therefore attempts first to extend and elaborate it into a dynamic SECI model by identifying those propelling factors and their relationships(linkages) based on the systems thinking.

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DYNAMIC RISK MEASURES AND G-EXPECTATION

  • Kim, Ju Hong
    • The Pure and Applied Mathematics
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    • v.20 no.4
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    • pp.287-298
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    • 2013
  • A standard deviation has been a starting point for a mathematical definition of risk. As a remedy for drawbacks such as subadditivity property discouraging the diversification, coherent and convex risk measures are introduced in an axiomatic approach. Choquet expectation and g-expectations, which generalize mathematical expectations, are widely used in hedging and pricing contingent claims in incomplete markets. The each risk measure or expectation give rise to its own pricing rules. In this paper we investigate relationships among dynamic risk measures, Choquet expectation and dynamic g-expectations in the framework of the continuous-time asset pricing.

The dynamic relaxation method using new formulation for fictitious mass and damping

  • Rezaiee-Pajand, M.;Alamatian, J.
    • Structural Engineering and Mechanics
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    • v.34 no.1
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    • pp.109-133
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    • 2010
  • This paper addresses the modified Dynamic Relaxation algorithm, called mdDR by minimizing displacement error between two successive iterations. In the mdDR method, new relationships for fictitious mass and damping are presented. The results obtained from linear and nonlinear structural analysis, either by finite element or finite difference techniques; demonstrate the potential ability of the proposed scheme compared to the conventional DR algorithm. It is shown that the mdDR improves the convergence rate of Dynamic Relaxation method without any additional calculations, so that, the cost and computational time are decreased. Simplicity, high efficiency and automatic operations are the main merits of the proposed technique.

A New Algorithm for Predicting Process Variables on Welding Bead Geometry for Robotic Arc welding (로봇 아아크 용접에서 비드 형상에 공정변수들을 예측하기 위한 새로운 알고리즘)

  • 김일수
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 1997.04a
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    • pp.36-41
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    • 1997
  • With the trend towards welding automation and robozation, mathematical models for studying the influence of various parameters on the weld bead geometry in Gas Metal Arc(GMA) welding process are required. The results of bead on plate welds deposited using the GMA welding process has enabled mathematical relationships to be developed that model the weld bead geometry. Experimental results were compared to outputs obtained using existing formulae that correlate process input variables to output parameters and subsequent modelling was performed in order to better predict the output of the GMA welding process. The aim of this work was to explain the relationships between GMA welding variables and weld bead geometry and thus, be able to predict input weld bead size. The relationships can be usefully employed for open loop process control and also for adaptive control provided that dynamic sensing of process output is performed.

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An Analysis of the Interrelationships between the Domestic and Foreign Stock Market Variations over the Depressed Market Period (주가의 전반적 하락기 국내외 증시 변동간의 연관관계 분석)

  • 김태호;유경아;김진희
    • Journal of the Korean Operations Research and Management Science Society
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    • v.28 no.1
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    • pp.11-23
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    • 2003
  • This study Investigates the short and long-run dynamic relationships between the domestic and U.S. stock markets for the period of declining stock prices. It Is well known that the domestic stock market variations are largely caused by the U.S. stock market movements. Multivariate causal tty test Is utilized to examine the lead-lag relationships among four stock prices of KOSPI and KOSDAQ In the domestic part and DOWJONES and NASDAQ In the U.S. part. When the stock prices tend to decrease In the long run, It Is found that both KOSPI and KOSDAQ have closer relations with NASDAQ than DOWJONES. When both of domestic stock markets are severely fluctuate, bidirectional causal relationships appear to exist between NASDAQ and each of KOSPI and KOSDAQ. On the other hand. when the domestic stock markets are relatively stable, unidirectional causality Is found to exist between NASDAQ and each of KOSPI and KOSDAQ. which is explicitly validated by the analysis of variance decomposition.

The Relationship Between Supply Chain Competences, Capability, and Fim Performance: A Supply Chain Agility (공급사슬 역량과 능력 그리고 기업성과 간의 관계: 공급사슬의 민첩성을 중심으로)

  • Kang, Sung-Bae
    • Knowledge Management Research
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    • v.13 no.2
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    • pp.95-109
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    • 2012
  • Changing customer expectation, global competition, and technological requirements force firms to develop agile supply chain capabilities sustaining competitive advantage and business success. To respond, firms are seeking to enhance supply chain agility across the inter-organizational, this study explores the relationship between supply chain competence and supply chain agility on firm performance. The research reviews literature on supply chain capability and classifies capability into two categories as competence and capability based on resource based view and dynamic capabilities. It describes a framework to explore the relationships among supply chain competence (IT flexibility, supply chain flexibility, shared value), supply chain capability (supply chain agility), and firm performance (supply chain performance). The purpose of this study is to find the determinants of supply chain agility and improving firm performance in the perspective of vendor companies. The results indicate strong, positive, and direct relationships between supply chain competence and supply chain agility. Supply chain agility have significant relationships with firm performance. Implication for future research and practice are offered.

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The Effect of Entrepreneurship of SMEs on Corporate Capabilities, Dynamic Capability and Technical Performances in South Korea

  • Yi, Ho-Taek;Han, Chang-Nam;Cha, Yong-Bong
    • The Journal of Asian Finance, Economics and Business
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    • v.5 no.4
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    • pp.135-147
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    • 2018
  • There has been a recent increase in the interest towards founding companies and in line with the South Korean Government's policy on start-up support, discussions are rife about the effect of entrepreneurship on the management and performances of these companies. To enhance the competitiveness of SMEs, it is expedient to acquire and deploy consistent entrepreneurship, differentiate corporate resources, ensure the appropriate utilization of resources and the integration of such factors in response to the changing environment. This research examines relationships among entrepreneurship, three components of corporate capabilities, dynamic capability and technical performance based on resource-based view and the dynamic capability theory. The authors also investigate the moderating role of corporate life cycle. To test the hypothesis, we conducted a survey on 352 technologies -innovative SMEs located in South Korea via professional research institutes. The findings confirm the hypothesis that SMEs' entrepreneurship has a positive effect on three kinds of corporate capabilities (e.g., marketing, R&D, operations capability), and it had a positive effect on dynamic capability, whiles dynamic capability also had an influence on technical performances. The findings also confirmed the hypothesis that corporate life cycle moderates the relationship between dynamic capability and technical performances respectively. The research implications for both practitioners and academicians are discussed.

Dynamic response of reinforced concrete members incorporating steel fibers with different aspect ratios

  • Haido, James H.;Abdul-Razzak, Ayad A.;Al-Tayeb, Mustafa M.;Bakar, B.H. Abu;Yousif, Salim T.;Tayeh, Bassam A.
    • Advances in concrete construction
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    • v.11 no.2
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    • pp.89-98
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    • 2021
  • Investigations on the dynamic behavior of concrete members, incorporating steel fibers with different aspect ratios, are limited so far and do not covered comprehensively in prior studies. Present endeavor is devoted to examine the dynamic response of the steel fibrous concrete beams and slabs under the influence of impact loading. These members were reinforced with steel fibers in different length of 25 mm and 50 mm. Four concrete mixes were designed and used based on the proportion of long and short fibers. Twenty-four slabs and beams were fabricated with respect to the concrete mix and these specimens were tested in impact load experiment. Testing observations revealed that the maximum dynamic deflection or ductility of the member can be achieved with increasing the fiber length. Structural behavior of the tested structures was predicted using nonlinear finite element analysis with specific material constitutive relationships. Eight nodes plate elements have been considered in the present dynamic analysis. Dynamic fracture energy of the members was calculated and agreement ratio, of more than 70%, was noticed between the experimental and analysis outcomes.

GPU-accelerated Reliability Analysis Method using Dynamic Reliability Block Diagram based on DEVS Formalism (DEVS 형식론 기반의 Dynamic Reliability Block Diagram과 GPU 가속 기술을 이용한 신뢰도 분석 방법)

  • Ha, Sol;Ku, Namkug;Roh, Myung-Il
    • Journal of the Korea Society for Simulation
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    • v.22 no.4
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    • pp.109-118
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    • 2013
  • This paper adopts the system configuration to assess the reliability instead of making a fault tree (FT), which is a traditional method to analyze reliability of a certain system; this is the reliability block diagram (RBD) method. The RBD method is a graphical presentation of a system diagram connecting the subsystems of components according to their functions or reliability relationships. The equipment model for the reliability simulation is modeled based on the discrete event system specification (DEVS) formalism. In order to make various alternatives of target system, this paper also adopts the system entity structure (SES), an ontological framework that hierarchically represents the elements of a system and their relationships. To enhance the calculation time of reliability analysis, GPU-based accelerations are adopted to the reliability simulation.

Dynamic Structural Equation Models of Activity Participation and Travel Behavior using Puget Sound Transportation Panel (Puget Sound Transportation Panel을 이용한 활동참여와 통행행동의 Dynamic SEM)

  • 최연숙;정진혁
    • Journal of Korean Society of Transportation
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    • v.20 no.6
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    • pp.129-140
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    • 2002
  • This paper develops a dynamic structural equation model, which captures relationships among socio-demographics, activity participation(i.e., time use) and travel behavior in consideration with time variation effects. The data used in developing the model are two waves(the year 1991 and 1992) from Puget Sound Transportation Panel (PSTP). which is surveyed in Puget Sound Region in United States. The PSTP is widely used in transportation behavior analysis and includes various information of traveler's socio-economic, travel patterns, and activity participation. In the model, we use 10 endogenous variables including activity participations and travel behaviors and 10 exogenous variables composed of time variant and invariant traveler's socio-demographic variables. The empirical model shows that strong relationships exist not only between socio-demographics and travel behavior, but between waves. We also confirm needs of panel data set to identify and understand time variation effects and travel behaviors.