• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.3
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• pp.474-485
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• 2008

The purpose of this study is to examine the determinants and elements to enhance Korean international competitiveness, employing Porter's(1998) Diamond Model. Half of the 500 leading apparel exporters that were members of the Korea Apparel Industry Association in 2003 were selected as the target of this research. From May to June of 2003, survey questionnaires were sent to executives of these 250 companies in person or by telephone, e-mail, or fax. Seventy questionnaires were used for the final data anlysis. The items used were Reliability, Categorical Regression, and Frequency, using SPSS 11.5. The results were as follows: First, as a result of analyzing the influence of international competitiveness in Korean apparel industry, the firm's strategy, structure, and rivalry was the most influential factor. Others were related and supporting industries, government, chance, demand conditions, and factor conditions. Also, the elements that affect Korean international competitiveness were listed as the level of price competition in foreign markets, the level of labor cost, export marketing capacity, and exchange fluctuation. The most important element to improve the international competitiveness of the Korean apparel industry was a demand growth rate of the overseas markets(Demand Conditions), followed by the level of the labor costs(Factor Conditions), the capability of internationalization(Firm Strategy, Structure, and Rivalry), the change of currency(Chance), the quality and management of products(Demand Conditions), the capability of planning products(Firm Strategy, Structure, and Rivalry), free trade from 2005(Chance), and global sourcing strategy(Firm Strategy, Structure, and Rivalry). Korea's main rival country in apparel related and supporting industry factors is China. However, Korea has a higher level of technology development, quality, and price level than China.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.4
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• pp.1620-1631
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• 2013

This study is to investigate a case study how effect of brand success upon purchase satisfaction and brand loyalty in co-brand of agriculture goods, that is GOODTRAE in korea. specifically this study conceptualizes that brand success factors affect satisfaction which try to buy a specific brand agricultural product. and that purchase satisfaction to GOODTRAE influence brand loyalty which leads to customer relationship management. In these brand success factors and brand loyalty relationship, purchase satisfaction of brand would have the mediating role. In the empirical analysis, we found that marketing, market environment, product, interorganizational cooperation, technology capability of brand success factors would affect purchase satisfaction of brand. Hypothesis what is left is not supported. I verified the assumption that brand purchase satisfaction of agriculture would affect consumer's loyalty and the result supported that assumption of it. and we found that market environment, consumer's factors, employee's & CEO's commitment, interorganizational cooperation, and technology capability of brand success factors would influence brand loyalty.

• Journal of Technology Innovation
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• v.20 no.1
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• pp.141-167
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• 2012

Along with technological innovation, successful market entry of a new product is important for sustainable innovation of a firm. In this paper, we examined factors that affect successful introduction of new branded drugs in pharmaceutical industry. Under competing theories of the first mover's advantage and the late mover's advantage, this research focuses on how latecomers can overcome the disadvantages of late entry and catch up to the market leader. First, late movers can absorb the knowledge leaked from pioneering product during the time lag between early entrants and late entrants. Therefore, the time lag provides late entrants an opportunity to catch-up to market leader by differentiating and improving the quality of new product. Second, superior marketing capability of late entrants can enhance the possibility of catching-up, by overcoming the consumer base of early entrants.

• Journal of Technology Innovation
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• v.20 no.3
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• pp.1-28
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• 2012

This study conducted a qualitative analysis on the Korea's nuclear energy sector in 2030 through scenario-based strategic foresight method. Specifically, the relationships between environmental influencing factors of the future nuclear energy sector was examined from a multi-dimensional perspective on the basis of STEEP analysis and network analysis. In addition, scenario planning method was used with key uncertainty factors (KUF) to create three predictable strategic scenarios including optimistic, business as usual, and pessimistic. Common strategies that need to be urgently pursued as well as the maximum risk avoidance strategies for each scenario were also presented. This study further identified energy pricing, global economic trend, competitiveness in nuclear technology, and marketing capability as key uncertainty factors in the future nuclear energy industry sector. In order to furnish effective export strategy in the future nuclear energy sector, it was also suggested that government policy should adopt following measures as top priorities: securing nuclear safety technology, educating nuclear engineers, securing nuclear resources such as uranium, increasing nuclear capability and so on. The implications and limitations of this study were then discussed based on research findings.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.1
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• pp.132-142
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• 2020

Many countries around the world are pursuing various support policies to foster start-ups national widely in order to secure new economic growth engines in the era of the Fourth Industrial Revolution. The South Korean government announced the diffusion strategy for the 2'nd round Start-up Boom in March 2019 and is promoting the support policies for start-up incubating by various programs. Many incubators and startup accelerators operate various kinds of programs to foster start-ups using government financial supports. The purpose of this study is to investigate the effects of entrepreneurship and technical capability of entrepreneurs as the internal factors of the technology-based start-ups and the effects of programs supported by the government as an external factor on the corporate performance of a start-up company, and the mediating effects of core competence of start-ups were analyzed using SPSS and AMOS. The results show that the entrepreneurship, technical capability and the programs supported by incubators or accelerators had no direct effects on the corporate performance of a start-up, but the core competence of the company had complete mediating effects. In addition, the type of program supported by the comprehensive accelerator programs or the marketing supports had effects on the core competence rather than simple financial supports. Lastly, the policy proposals for incubating program support and future research directions along with the limitation are suggested.

• Convergence Security Journal
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• v.17 no.2
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• pp.153-158
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• 2017

The robot imitates humans and recognizes the external environment and judges the situation. The robot is a machine that operates autonomously. Robots are divided into manufacturing robots and service robots. Service robots are classified as professional service robots and personal service robots. Because of the intensified competition of productivity in manufacturing industries, rising safety issues, low birth rate and aging, the robots industry is emerging. Recently, the robot industry is a complex of advanced technology fields, and it is attracting attention as a new industry where innovation potential and growth potential are promising. IT, BT, and NT related elements are fused and implemented, and the ripple effect is very large. Due to changes in social structure and life patterns, social interest in life extension and health is increasing. There is much interest in the medical field. Now the artificial intelligence (AI) industry is growing rapidly. It is necessary to secure global competitiveness through strengthening cooperation between large and small companies. We must combine R&D investment capability and marketing capability, which are advantages of large corporations, and robotic technology. We need to establish a cooperative model and secure global competitiveness through M&A.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.29-45
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• 2015

Response modeling is a well-known research issue for those who have tried to get more superior performance in the capability of predicting the customers' response for the marketing promotion. The response model for customers would reduce the marketing cost by identifying prospective customers from very large customer database and predicting the purchasing intention of the selected customers while the promotion which is derived from an undifferentiated marketing strategy results in unnecessary cost. In addition, the big data environment has accelerated developing the response model with data mining techniques such as CBR, neural networks and support vector machines. And CBR is one of the most major tools in business because it is known as simple and robust to apply to the response model. However, CBR is an attractive data mining technique for data mining applications in business even though it hasn't shown high performance compared to other machine learning techniques. Thus many studies have tried to improve CBR and utilized in business data mining with the enhanced algorithms or the support of other techniques such as genetic algorithm, decision tree and AHP (Analytic Process Hierarchy). Ahn and Kim(2008) utilized logit, neural networks, CBR to predict that which customers would purchase the items promoted by marketing department and tried to optimized the number of k for k-nearest neighbor with genetic algorithm for the purpose of improving the performance of the integrated model. Hong and Park(2009) noted that the integrated approach with CBR for logit, neural networks, and Support Vector Machine (SVM) showed more improved prediction ability for response of customers to marketing promotion than each data mining models such as logit, neural networks, and SVM. This paper presented an approach to predict customers' response of marketing promotion with Case Based Reasoning. The proposed model was developed by applying different weights to each feature. We deployed logit model with a database including the promotion and the purchasing data of bath soap. After that, the coefficients were used to give different weights of CBR. We analyzed the performance of proposed weighted CBR based model compared to neural networks and pure CBR based model empirically and found that the proposed weighted CBR based model showed more superior performance than pure CBR model. Imbalanced data is a common problem to build data mining model to classify a class with real data such as bankruptcy prediction, intrusion detection, fraud detection, churn management, and response modeling. Imbalanced data means that the number of instance in one class is remarkably small or large compared to the number of instance in other classes. The classification model such as response modeling has a lot of trouble to recognize the pattern from data through learning because the model tends to ignore a small number of classes while classifying a large number of classes correctly. To resolve the problem caused from imbalanced data distribution, sampling method is one of the most representative approach. The sampling method could be categorized to under sampling and over sampling. However, CBR is not sensitive to data distribution because it doesn't learn from data unlike machine learning algorithm. In this study, we investigated the robustness of our proposed model while changing the ratio of response customers and nonresponse customers to the promotion program because the response customers for the suggested promotion is always a small part of nonresponse customers in the real world. We simulated the proposed model 100 times to validate the robustness with different ratio of response customers to response customers under the imbalanced data distribution. Finally, we found that our proposed CBR based model showed superior performance than compared models under the imbalanced data sets. Our study is expected to improve the performance of response model for the promotion program with CBR under imbalanced data distribution in the real world.

• International Commerce and Information Review
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• v.19 no.1
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• pp.127-152
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• 2017

One of the biggest challenges in export activities of SME is the increasingly cultural diversity that requires especially export managers to adapt their doing business in many different kinds of cross-cultural situations effectively. A relative newly developed concept 'Cultural Intelligence' has been evaluated as a key element for the success in international business activities. This study aims to investigate empirically the role of Cultural Intelligence(CQ), one component of cultural competence, on export marketing adaptation. The statistical method used to test the hypotheses was Structural Equation Modeling using PLS. The results of this study are follows. The moderating role of Cultural Intelligence between information seeking and information using abilities is more stronger in marketing rather than relationship adaptation. Cultural Intelligence moderates between them. Critical factors affecting Cultural Intelligence are also discussed; foreign language fluency, business travels in abroad, characteristics of the business travels, multi-lingual ability, pre-education related cultural subjects, and visit experience in foreign countries. Especially, export managers' foreign language ability leads to much stronger influence on cultural intelligence. The result of the empirical study provides important implications for export SME and export supporting organizations. Export firms and supporting organizations must expand programs widely in multi cultural training and education to help managers gain a better understanding in a various export environment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.666-677
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• 2016

This study analyzes determinants of strategic marketing alliances' performance using 'continuous use intention' of consumers in the Korean credit card industry. Specifically, this study aims to provide comprehensive and synthetic understanding of these factors divided into firm- level and consumer- level variables. Thirty alliance cards were chosen randomly. For firm- level data, managers from the thirty selected cards were interviewed concerning their respective firm and alliance operation. For collection of consumer- level data, 610 card holders from these thirty cards were surveyed concerning card benefits, benefits information, brand image, and continuous use intention. The hierarchical linear model (HLM) was employed to analyze this multi-level data, yielding the following results: First, consumers identified three factors that positively influence continuous use intention. Second, with respect to firmlevel factors, alliance partner's marketing capability is not positively related to intention, whereas fit of alliance goal influences consumer's continuous use of card. Third, contrary to expectation, the positive interaction effects between consumer level variables and firm level variables were found to be not present.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.5
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• pp.99-112
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• 2020

This study empirically analyzed the relationship with major influencing factors in enhancing innovation capability of start-ups and their influence on innovation performance. If the existing innovation competency studies were analyzed from a general corporate perspective, In this study, it was analyzed from the perspective of start-up companies with less than 7 years of founding. As a result of a survey on startups, learning competency among the sub-variables of innovation competency, R&D competency and marketing competency are significant positive (+) consistent with both organizational competence related to organizational culture and organizational goals, technology commercialization competency, and close product competency. Has been shown to affect. The technical competence part does not have a significant effect on the product competency. However, it could not be interpreted that the importance of these competencies was low. This is because although technical competence did not directly affect product competency, it was analyzed as a meaningful result in relation to R&D competency. In addition, the characteristics of the company were classified into technology orientation and market orientation, and the relationship between each sub-variable was analyzed. The technical competence of a technology-oriented company did not have a significant effect on the product competency, but it was found that it had an effective effect on the R&D capacity. It is also consistent with the research findings that the initial survival rate is low as the characteristics of start-ups are often based on technology and ideas. Based on these results, There is a difference in major innovation capabilities according to the growth stage of a company. From a practical point of view, I would like to present approaches and implications for strengthening the competence of start-ups.