• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.397-408
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• 2020

SMEs as an organization to succeed and to be sustainable must have the most essential and strategic capital, namely creativity, competitive advantage, and intellectual capital. This study aims to explore how creativity and intellectual capital determines SMEs' sustainability as well as examine the emerging role of competitive advantage in supporting this relationship. A quantitative method was applied to gain a better understanding of the relationship between variables undergoing Structural Equation Modeling with Partial Least Square (SEM-PLS). This study collected data from 123 SMEs in East Java of Indonesia using an online survey. The approach adopted in this study is a convenience random sampling method, which is widely used in entrepreneurship and SMEs' sustainability research. The findings showed that intellectual capital positively affects both competitive advantage and SMEs' sustainability. Additionally, the result of this study confirms a robust relationship between intellectual capital and SMEs' sustainability. However, partially, creativity failed in explaining SMEs' sustainability. Furthermore, this study confirmed that competitive advantage has successfully mediated both the influence of creativity and intellectual capital to SMEs' sustainability. Although this research only involved participants in East Java, this study can be the first step for relevant research of SMEs' sustainability, in particular, in Indonesia.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.271-274
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• 2005

Under competitive power markets, various long-term and short-term contracts based on spot price are used by producers and consumers. So an accurate forecasting for spot price allow market participants to develop bidding strategies in order to maximize their benefit. Artificial Neural Network is a powerful method in forecasting problem. In this paper we used Radial Basis Function(RBF) network to forecast spot price. To learn ANN, in addition to price history, we used some other effective inputs such as load level, fuel price, generation and transmission facilities situation. Results indicate that this forecasting method is accurate and useful.

• IE interfaces
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• v.21 no.3
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• pp.283-293
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• 2008

It is important to choose and develop right business model in the process of implementing the ubiquitous service concept. In particular, it is also required to build a method which can assist in establishing a business model in a competitive perspective to differentiate business strategy. However, we could not find the existing studies which tried to develop business model including methods on how to differentiate business strategy in a competitive environment. In this study, we propose an ontology for repository of ubiquitous business model and address on how to apply the proposed business model repository to real ubiquitous industry. We also built a repository of unlicensed wireless device industry to check the applicability of proposed ubiquitous business model ontology and to show the various examples. We expect that building the business model repository contributes to reduce the redundancy and inefficiency for industry as well as to increase likelihood of business success for an individual company.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.51 no.12
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• pp.638-646
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• 2002

This paper presents an efficient algorithm for evaluating the Profit and revenue of generating units in a competitive electricity market based on the probabilistic production costing technique. The accurate evaluation of the profit and revenue of generating units for long-term perspectives is one of the most important issues in a competitive electricity market environment. For efficient calculation of the profit and revenue of generating units under the equivalent load duration curve(ELDC), a new approach to figure out the marginal plants and the corresponding market clearing prices during a time period in a probabilistic manner is developed. The mathematical formulation and illustrative application of the suggested method is presented.

• Culinary science and hospitality research
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• v.7 no.2
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• pp.217-242
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• 2001

A Study on the improvement Method of Domestic Franchise System based on the study through the Dispute cases. Future franchise operating is hard to survive if it has it's own competitive power in the fair trade. So first of all, Headquarter of franchise has the competitive power. Second, it has knowhow, because that knowhow is driving force which can lead a member of franchiser. third, it can supply tableware and materials without a hitch. In the conclusion, franchise operator has the competitive power that are difference and fair trade. Also, when franchiser always cooperate franchise operating, that contributed much to the growth of the foodservice. In the future, the study on foodservice of franchise should be go on more deeply.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.3
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• pp.169-175
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• 1996

In this paper, a new parallel neural network system that performs dynamic competitive learning is proposed. Conventional learning mehtods utilize the full dimension of the original input patterns. However, a particular attribute or dimension of the input patterns does not necessarily contribute to classification. The proposed system consists of parallel neural networks with the reduced input dimension in order to take advantage of the information in each dimension of the input patterns. Consensus schemes were developed to decide the netowrks performs a competitive learning that dynamically generates output neurons as learning proceeds. Each output neuron has it sown class threshold in the proposed dynamic competitive learning. Because the class threshold in the proposed dynamic learning phase, the proposed neural netowrk adapts properly to the input patterns distribution. Experimental results with remote sensing and speech data indicate the improved performance of the proposed method compared to the conventional learning methods.

• Journal of Korean Institute of Industrial Engineers
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• v.28 no.1
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• pp.87-98
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• 2002

A competitive coevolutionary algorithm is a probabilistic search method that imitates coevolution process through evolutionary arms race. The algorithm has been used to solve adversarial problems. In the algorithms, the selection of competitors is needed to evaluate the fitness of an individual. The goal of this study is to compare and analyze several competition strategies in terms of solution quality, convergence speed, balance between competitive coevolving species, population diversity, etc. With two types of test-bed problems, game problems and solution-test problems, extensive experiments are carried out. In the game problems, sampling strategies based on fitness have a risk of providing bad solutions due to evolutionary unbalance between species. On the other hand, in the solution-test problems, evolutionary unbalance does not appear in any strategies and the strategies using information about competition results are efficient in solution quality. The experimental results indicate that the tournament competition can progress an evolutionary arms race and then is successful from the viewpoint of evolutionary computation.

• Journal of Korean Institute of Industrial Engineers
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• v.26 no.2
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• pp.101-109
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• 2000

A competitive coevolutionary algorithm is a probabilistic search method that imitates the biological process that two or more species competitively coevolve through evolutionary arms race. The algorithm has been used to efficiently solve adversarial problems that can be formulated as the search for a solution that is correct over a large space of test cases. We develop an efficient competitive coevolutionary algorithm to solve adversarial problems with high complexity. The algorithm developed in this paper employs three methods: tournament competitions, exchanging of entry fee, and localized coevolution. Analyzed in this paper are the effects of the methods on the performance of the proposed algorithm. The extensive experiments show that our algorithm can progress an evolutionary arms race between competitive coevolving species and then outperforms existing approaches to solving the adversarial problems.

• Journal of Korean Society for Quality Management
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• v.36 no.3
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• pp.55-65
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• 2008

From fast service enlargement of the latest economy and industry, importance of service industry is embossed gradually. Service enterprise is pushing on in service quality elevation for strengthening competitiveness to survive on globalization society as manufacturing industry. Service quality elevation adapts as core competitive strategy in enterprise with business environment as continuous competitive advantage. Because Public organization also is developed in service fast, Public organization is trying to offer various service such as service level of enterprise. Each Public organization are trying to satisfy request of citizens as Customer. In this study, presented Kano-Servqual Method which is mixed by Kano's and Servqual model's advantage, each Method had used much in service quality measurement separately. Kano-Servqual Method is applied to the A information library as a public organization and is proved as practical useful method.

• Journal of Distribution Science
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• v.17 no.3
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• pp.5-19
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• 2019

Purpose - The purpose of this research is to investigate the factors contributing to sustainable competitive advantage for multi-level marketing (MLM) firms in Malaysia. The selected variables in this study are company image, product innovation, leadership, distributor rewards system and distributor training system. Research design, data, and methodology - Quantitative research method is employed with collected sample size of 398 respondents using judgmental sampling technique. Normality and reliability test were performed in the first stage utilizing SPSS 22 and Confirmatory Factory Analysis (CFA) and variance analysis were obtained in the subsequent stage, following up with the overall fit of the measurement model, Structural Equation Model (SEM) using AMOS 22 with maximum likelihood estimation to assess the internal consistency, convergent validity and discriminant validity. Results - The research findings show that company image, leadership, distributor rewards system and distributor training system were supported and are factors affecting the sustainable competitive advantage of MLM companies in Malaysia. However, in this study, product innovation was not supported but this result does not depict that it is trivial and inconsequential in maintain sustainable advantage. Conclusion - Companies can build sustainable competitive advantage by focusing on these contributing factors. Several other comments and implications were brought to light and discussed in the paper.