• The KIPS Transactions:PartD
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• v.13D no.5 s.108
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• pp.691-698
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• 2006

The companies need the enterprise-wide support environment to build the competency to gather VOM(Voice of Market) in the process of preparing and implementing the strategy and to help establishing and managing the business process in order to secure the continuous competitive edge The enterprise-wide support environment to establish, operate, improve and evaluate the business process must be carried out. In this paper we define the method to define process and business rule in order to enable accurate execution of the process. Furthermore, collection and refection of accurate data concerning the competency of individuals, the subjects of the process execution, allows prevention of weakness of the process execution result and is the basis for identifying the areas of improvement. Therefore, high visibility can be attained through the work knowledge and processes presented in rules, and it can help firmly establish the process centered work culture (or system) in the organization by process improvement strictly based on data.

• Asia Marketing Journal
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• v.7 no.1
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• pp.91-112
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• 2005

LG Household & Healthcare has achieved its goals of revenue growth and customer loyalty increase by applying new CRM strategy of OHUI brand, which is ranked in the middle of department store cosmetic channel. OHUI has set up detailed CRM strategy in order to solve AS-Is issues found by systematical review. First OHUI has gained critical mass and increased customer loyalty by developing customized loyalty program. OHUI also simplified customer types in order for employees to identify the customer type and apply the incentive program. As a result, the company has maximized the power of execution of its new strategy. Finally, OHUI has stabilized CRM by sharing best practice and implementing KPI. Throughout a series of CRM initiatives, OHUI has marked outstanding revenue growth and market share comparing to its competitors.

• Land and Housing Review
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• v.3 no.4
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• pp.307-314
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• 2012

This paper examines the characteristics and status of the major development policies for under-developed region by ministries and studies how the awareness or perspective of public officials on such policies impact the policy environment. This paper aims to redefine the goal and strategy of regional development policy so that it can effectively contribute to enhancing the quality of life of residents and improving competitiveness of the region. The problems and improvement direction found out through a documentational and practical research on the development policy for underdeveloped region can be summarized as follows: Firstly, more streamlined and integrated policies which are currently fragmented being implemented by different ministries are needed to enhance the effectiveness of policy execution. Secondly, improvements on the process of securing government funding and operating systems are needed to guarantee the rational standard of providing state subvention, the expansion of comprehensive subsidy and the independence of policy execution. Thirdly, amendments on the policy measures are needed to support the development and execution of the customized projects, strengthen cooperation among those projects by establishing a system for effective regional development project.

• Journal of Power Electronics
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• v.17 no.2
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• pp.346-357
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• 2017

The Modular Multilevel Converter (MMC) is particularly attractive for medium and high power applications such as High-Voltage Direct Current (HVDC) systems. In order to reach a high voltage, the number of cascaded submodules (SMs) is generally very large. Thus, in the applications with hundreds or even thousands of SMs such as MMC-HVDCs, the sorting algorithm of the conventional voltage balancing strategy is extremely slow. This complicates the controller design and increases the hardware cost tremendously. This paper presents a Two-Way Merge Sort (TWMS) strategy based on the prediction of the capacitor voltages under ideal conditions. It also proposes an innovative Insertion Sort Correction for the TWMS (ISC-TWMS) to solve issues in practical engineering under non-ideal conditions. The proposed sorting methods are combined with the features of the MMC-HVDC control strategy, which significantly accelerates the sorting process and reduces the implementation efforts. In comparison with the commonly used quicksort algorithm, it saves at least two-thirds of the sorting execution time in one arm with 100 SMs, and saves more with a higher number of SMs. A 501-level MMC-HVDC simulation model in PSCAD/EMTDC has been built to verify the validity of the proposed strategies. The fast speed and high efficiency of the algorithms are demonstrated by experiments with a DSP controller (TMS320F28335).

• Journal of the Korean Chemical Society
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• v.48 no.2
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• pp.182-188
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• 2004

In this study, the effects of a four-stage problem-solving strategy emphasizing planning and checking stages were investigated. Two high school classes (N=55) were randomly assigned to either treatment or control group, and taught about two topics, 'gas' and 'solution' for 8 class hours. Teacher used the four-stage problem-solving strategy emphasizing planning and checking stages in the treatment group, and used traditional lecture in the control group. Two-way ANCOVA results revealed that the test scores of the treatment group were significantly higher than those of the control group in the problem-solving ability, especially in the subcategories of 'conceptual knowledge' and 'mathematical execution'. There was significant interaction between the instruction and the level of prior achievement in the 'satisfaction' of the learning motivation. The lower level students in the control group were more satisfied with chemistry class than those in the treatment group. There was no significant difference between the two groups in the scores of the awareness of metacognition. Educational implications are discussed.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.119-131
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• 2015

The rise of K-Pop in the latecomer environment is unusual. There is little research on K-Pop from the catch-up perspective though it would yield some insight into a strategic direction of creative industries in the latecomer environment. Thus, this study aims to compare the firm capability, market development, and product strategy of K-Pop firms with ones of manufacturing firms during the catch-up period. It reveals first that K-Pop firms developed project execution capability to carry out discrete projects effectively by adopting in-house (vertical) system in music production and increasing the size of firms. Second, they pursued global market and utilized the window of opportunities based on a proven music genre. Third, K-Pop firms pursued the incremental innovation in the product development. Since these characteristics have many similarities with the catch-up strategy in the manufacturing sector, Korean catch-up experience could provide valuable insight into the development of creative industries in Korea.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.267-274
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• 2020

The focus of this study is to investigate the mediating role of online market orientation on information capital readiness-business performance relationship. The construct of information capital readiness is rarely researched. The readiness here refers to the availability of information capital needed to support strategy execution. As quantitative research, this study employs the partial least squares structural equation modeling (PLS-SEM) to test the hypotheses. Data was collected using questionnaires from the owners/managers of the micro, small, and medium-sized enterprises (MSMEs) in the East Java Province, Indonesia. As many as 433 respondents had participated. The result indicates that information capital readiness directly and positively affects business performance. Further analysis reveals that online market orientation partially mediates information capital readiness-business performance relationship. In conclusion, this study suggests that the owners/managers of the MSMEs should improve their information capital readiness to support online market orientation strategy so that it can improve their business performance. This is the first study that brings together the issues of information capital readiness and online market orientation as the antecedents of business performance in the Indonesian MSMEs research setting. The mediating role of online market orientation is rarely explored in previous studies.

• Journal of Information Technology Services
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• v.7 no.3
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• pp.97-114
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• 2008

Many companies have implemented ERP systems to enhance their process competitiveness. Since most ERP systems down to date are implemented and managed on each separated business-unit or company level, such systems run short of the consideration about global business processes and global system managements. In order to integrate a successful global ERP, it is essential to apply the well-systematic implementation methodology which considers global standardization and global IT requirements. It is, however, the actual circumstance that such well-structured methodologies for global ERP implementation are hardly shown not only from domestic site but from foreign one. This paper indicates the global ERP implementation guideline with integrated approach including; the standard process design for efficient execution of global business; the ERP implementation method considering global IT requirements; and, the management method for global system operation. GSI ERP methodology is composed of 3 Phase：Global Strategy Planning, Global Template Construction and Global Roll-Out. Phase1; Global Strategy Planning contains Environment Analysis, GSI direction and Implementation Plan. Phase2; Global Template Construction contains Business blueprint, GSI operation design and Global template implementation. Phase3; Global Roll-out contains local business analysis, local ERP implementation and Global ERP Operation.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.55 no.9
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• pp.365-375
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• 2006

This paper is presented by the application of parallel adaptive evolutionary algorithm(PAEA) to search an optimal solution of a thermal unit commitment problem. The adaptive evolutionary algorithm(AEA) takes the merits of both a genetic algorithm(GA) and an evolution strategy(ES) in an adaptive manner to use the global search capability of GA and the local search capability of ES. To reduce the execution time of AEA, the developed algorithm is implemented on an parallel computer which is composed of 16 processors. To handle the constraints efficiently and to apply to Parallel adaptive evolutionary algorithm(PAEA), the states of thermal unit are represented by means of real-valued strings that display continuous terms of on/off state of generating units and are involved in their minimum up and down time constraints. And the violation of other constraints are handled by repairing operator. The procedure is applied to the $10{\sim}100$ thermal unit systems, and the results show capabilities of the PAEA.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.10
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• pp.1712-1732
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• 2011

Cloud provides dynamically scalable virtualized computing resources as a service over the Internet. To achieve higher resource utilization over virtualization technology, an optimized strategy that deploys virtual machines on physical machines is needed. That is, the total number of active physical host nodes should be dynamically changed to correspond to their resource usage rate, thereby maintaining optimum utilization of physical machines. In this paper, we propose a pattern-based prediction model for resource provisioning which facilitates best possible resource preparation by analyzing the resource utilization and deriving resource usage patterns. The focus of our work is on predicting future resource requests by optimized dynamic resource management strategy that is applied to a virtualized data center in a Cloud computing environment. To this end, we build a prediction model that is based on user request patterns and make a prediction of system behavior for the near future. As a result, this model can save time for predicting the needed resource amount and reduce the possibility of resource overuse. In addition, we studied the performance of our proposed model comparing with conventional resource provisioning models under various Cloud execution conditions. The experimental results showed that our pattern-based prediction model gives significant benefits over conventional models.