• Journal of Korea Port Economic Association
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• v.26 no.4
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• pp.40-62
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• 2010

Because of rapid changes in business environment and fierce competition, firms are facing a more competitive environment and a more serious global competition. Many of the previous literatures have indicated that a business which increases its market orientation will improve its market performance. Numerous authors have argued the interdepartmental dynamics as prior factor to market orientation, and relationship commitment are an essential part of successful long-term relationships. Based on previous literatures, this study proposes the structure about interdepartmental dynamics, market orientation, relationship commitment and performance. The purpose of this paper is to find the impact of market orientation and relationship commitment on customer performance. In addition, this suggests interdepartmental dynamics as prior factor to market orientation. Results indicate that interdepartmental connections can reduce interdepartmental conflict, and lower conflict is a key factor of market orientation. Furthermore, this paper finds evidences that support the mediating effects of the relationship commitment between market orientation and customer performance.

• International Journal of Quality Innovation
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• v.7 no.1
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• pp.128-160
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• 2006

With the globalization of economy, industries are facing increasingly greater challenges. Business integration, both internally and externally, is undoubtedly an important topic. However, how does an enterprise create its own value will be the key to an enterprise's success in the future. Therefore, this study bases on the evaluation of company value to assess the key factors and competitive strategies of an enterprise. Yet, only with stable enterprise performance can the company value be correctly evaluated. This will be an important issue for enterprise performance and business strategy. Subject of this study are mainly small and medium-sized (enterprises (SMEs). Model construction for SME value assessment is established through the system dynamics approach. Scholars' opinions on literature validation and application of Delphi Method are explored through literature review on local and foreign studies, in order to compile the relevant perspectives and indices for enterprise value creation. Hence model construction of the value creation system is established, and the correlation between the perspectives and related factors is explored to understand the overall dynamics model of SMEs' value creation system. Consequently, a research method based on the system dynamics perspective is provided for the study of enterprise value creation is provided, as policy reference for improvement of decision-making and value creation.

• Journal of Broadcast Engineering
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• v.13 no.6
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• pp.781-795
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• 2008

This paper focuses on effects that IPTV will have on domestic broadcasting market in the point of view of customers. The purpose of the paper is to present the future landscape of competitive media market when IPTV is launched, and to research how IPTV will have impact on terrestrial broadcasting, cable TV and satellite broadcasting industry. The paper integrates two known theories, such as the niche-gratification model and the value-expectancy model, to analyze competitive media market. The value expected model makes it possible to overcome the weakness of the niche-gratification model and to forecast competitiveness more accurately. According to this research, competitive power will be in the order of Cable TV, IPTV, and satellite broadcasting. Terrestrial broadcasting does not show strong competitive relationships with others statistically. As a result, Cable TV will be the most competitive medium in the future. IPTV will be stuck in the middle and can rapidly substitute for existing broadcasting services. While IPTV will severely threaten the satellite broadcasting company which has a relatively small number of subscribers, cable TV will be in a superior position to IPTV.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1999.10a
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• pp.42-46
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• 1999

Knowledge management(KM) is emerging as a robust management mechanism with which an organization can remain highly intelligent and competitive in a turbulent market. Organization memory(or knowledge) is at the heart of KM success. How to create organizational memory has been debated among researchers. In literature, a wide variety of methods for creating organizational memory have been proposed only to prove that its applicability is limited to decision-making problems which require shallow or non-causal knowledge type. However, organizational memory with a sense of causal knowledge is highly required in solving complicated decision-making problems in which complex dynamics exist between various factors and influence each other with cause and effect relationship among them. In this respect, we propose a new approach to creating a causal-typed organizational memory (CATOM), which has a form of causal knowledge and is represented in a matrix form, by using an inference diagram. An algorithm for CATOM creation is suggested and applied to an illustrative example. Results show that our proposed KM approach can effectively equip an organization with semi-automated CATOM creation and inference process which is deemed useful in a highly competitive business environment.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.175-185
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• 2023

As the era of ChatGPT and generative AI technologies unfolds, the marketing industry stands on the precipice of a paradigm shift. Innovations such as GPT-4, DALL-E 2, and Mid-journey Stable Diffusion possess the capacity to dramatically transform the methods by which advertisers reach and engage with customers. The potential applications of these advanced tools herald a new age for the marketing and advertising sectors, offering unprecedented opportunities for growth and optimization. Nevertheless, the rapid adoption of generative AI within these industries presents a unique set of challenges, particularly for organizations that lack the necessary technological infrastructure and human capital to effectively leverage these innovations. As a result, a competitive crisis may emerge, exacerbating existing disparities between well-equipped enterprises and their less technologically adept counterparts. In this article, we undertake a comprehensive exploration of the implications of generative AI for the future of marketing, examining both its potential benefits and drawbacks. We consider the possible impact of these developments on the advertising and marketing industries at large, as well as the ways in which professionals operating within these fields may need to adapt to remain competitive in an increasingly AI-driven landscape. By providing a holistic overview of the challenges and opportunities associated with generative AI, this study aims to elucidate the complex dynamics at play in the ongoing evolution of the marketing and advertising sectors.

• Journal of Mechanical Science and Technology
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• v.19 no.spc1
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• pp.388-394
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• 2005

Recently, the authors have developed a method for real-time dynamics of multibody systems, which combines a semi-recursive formulation to derive the equations of motion in dependent relative coordinates, along with an augmented Lagrangian technique to impose the loop closure conditions. The following numerical integration procedures, which can be grouped into the so-called structural integrators, were tested : trapezoidal rule, Newmark dissipative schemes, HHT rule, and the Generalized-${\alpha}$ family. It was shown that, for large multi body systems, Newmark dissipative was the best election since, provided that the adequate parameters were chosen, excellent behavior was achieved in terms of efficiency and robustness with acceptable levels of accuracy. In the present paper, the performance of the described method in combination with another group of integrators, the Implicit Runge-Kutta family (IRK), is analyzed. The purpose is to clarify which kind of IRK algorithms can be more suitable for real-time applications, and to see whether they can be competitive with the already tested structural family of integrators. The final objective of the work is to provide some practical criteria for those interested in achieving real-time performance for large and complex multibody systems.

• Journal of Korea Technology Innovation Society
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• v.4 no.3
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• pp.369-382
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• 2001

In this research, the world top steel companies' technical changes were measured by the nonparametric Malmquist index. Steel industry's production frontier which was composed of multiple inputs and multiple outputs was defined by using real data of the companies from 1986 to 1998, and then the variability of technical progress(or regress) was analyzed during that period. The dynamics of individual steel companies\` technical changes, periodical technical changes, and each country's technical chanties were explained. A matrix which was based on technical chanties, technical efficiency changes, and scale efficiency changes was designed to assist to find out current position and In build up future strategies. This research results will be an valuable input to the early stage of formulating competitive strategy because the technical core capability is an important source of the each companies's competitiveness.

• Bulletin of the Korean Chemical Society
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• v.32 no.9
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• pp.3411-3420
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• 2011

Kinetic and structural studies have been carried out on the effects of meso-tetrakis(4-sulfonatophenyl)-porphyrin ($H_2TPPS_4$) as an anionic and meso-tetrakis(3-N-methyl-pyridyl)porphyrin ($H_2TMPYP$) as a cationic porphyrin with adenosine deaminase (ADA) in 25 mM citrate/phosphate buffer, pH = 4-8, at $37^{\circ}C$ using UVvis spectrophotometry, circular dichroism (CD), fluorescence spectrophotometry as well as molecular dynamics (MD) and molecular docking. Kinetic results showed that the two porphyrins are non-competitive inhibitors. Increasing pH, increases $K_I$ and cationic porphyrin has a higher $K_I$ and lower binding constant ($K_b$) at all pH ranges. Analyzing the secondary structure revealed that both ligands decrease the secondary structure and that the anionic porphyrin is more effective.

• 제어로봇시스템학회:학술대회논문집
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• 1995.10a
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• pp.65-68
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• 1995

This paper describes trajectory generation of a riobot arm by self-organizing neural networks. These neural networks are based on competitive learning without a teacher and this algorithm which is suitable for problems in which solutions as teaching signal cannot be defined-e.g. inverse dynamics analysis-is adopted to the trajectory generation problem of a robot arm. Utility of unsupervised learning algorithm is confirmed by applying the approximated solution of each joint calculated through learning to an actual robot arm in giving the experiment of tracking for reference trajectory.

• Journal of the Korea Society for Simulation
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• v.12 no.4
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• pp.61-71
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• 2003

Recently, a matter of the highest priority that the company must do for the satisfaction of customer service is that the company ensure the competitive power throughout the strategic cooperation in the market environment changing rapidly In this situation, one of allied strategies is the supply chain management and the outsourcing is one of the supply chain management strategies. In this paper, the inventory sharing system is introduced as the method to solve two inconsistency problem such as inventory and customer service. This paper also suggests how to increase customer service and to decrease inventory throughout construction of the inventory sharing system among outsourcing companies. For this, we experimented the effect of the inventory sharing system on the supply chain dynamics by using the simulation modeling and analyzed the validity about construction of the inventory sharing system presented in this study. The simulation is designed by Vensim(Process simulation package) and has some feedback loops.