• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.163-164
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• 2007

Consumer needs becomes various in a mature mobile telecommunication market, while service differentiation is hard to achieve. The competition among telecommunication service providers is getting fierce in order to maintain and obtain customers. Moreover, HSDPA caused the intense marketing activity for the move to the next generation customers. Under these circumstances, brand equity can be a key to a long-term competitive edge for mobile phone service providers. In this study, we identified the factors influencing mobile telecommunication brand equity, and its influence on the HSDPA service subscription behavior.

• Asia-Pacific Journal of Business
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• v.10 no.3
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• pp.37-51
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• 2019

In this paper, we investigate the performance of anomaly factors in Asia-Pacific Stock market and show the higher Sharpe ratio of the volatility managed smart beta portfolio. The smart beta portfolio combines the benefit of passive strategy and active strategy. However, the smart beta portfolios are seems to be exposed to the risk of anomaly factors from the perspective of traditional financial equilibrium model. Therefore, the smart beta strategy may generate negatively skewed returns unappealing to investors having lower risk tolerance. Our empirical investigations find that the return of the Asia-Pacific region stock market is more volatile than other regions with the lower efficiency ratio. However, the value factor and the momentum factor of Asia-Pacific region both show good performances. More interestingly, we also find that managing the volatility of the momentum factor in Asia-Pacific stock market almost doubles the efficiency ratio.

• Fashion & Textile Research Journal
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• v.14 no.6
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• pp.928-940
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• 2012

The present study aimed to propose the competitive strategy to fashion brand franchise stores by analyzing articles regarding success stores as published in fashion magazines. A total of 91 articles were selected from three fashion magazines and content analysis was applied to extract major factors. Four types of trading areas and eight product types were compared by the major factors. As results, six major factors composing competitive strategy were analyzed such as personal selling, management of sales forces, promotion, customer relationship management, management of store space, and relationship with headquarter. Comparing competitive factors by the types of trading area, management of sales forces and personal selling were crucial for central district and for outlets/interchange district. On the other hand, personal selling and customer relationship management were important for local district while management of store space and personal selling were critical for tenants of the large discount store/shopping mall area. Comparing by product types, personal selling was the most important factor for all product types except young casualwear whereas the second important one was management of sales forces for adult casualwear, womenbbbs wear, and others. For menbbbs wear, sales promotion was the second important one whereas management of store space was the second crucial one for underwear and childrenbbbs clothing. Based on the present study result, it is proposed that competitive strategy of individual fashion brand franchise store should be differently developed because the characteristics of trading area and product type are different and in turn, customers benefit and competition might be different.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.2
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• pp.54-63
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• 2016

As technology has developed and cost for data processing has reduced, big data market has grown bigger. Developed countries such as the United States have constantly invested in big data industry and achieved some remarkable results like improving advertisement effects and getting patents for customer service. Every company aims to achieve long-term survival and profit maximization, but it needs to establish a good strategy, considering current industrial conditions so that it can accomplish its goal in big data industry. However, since domestic big data industry is at its initial stage, local companies lack systematic method to establish competitive strategy. Therefore, this research aims to help local companies diagnose their big data capabilities through a reference model and big data capability assessment system. Big data reference model consists of five maturity levels such as Ad hoc, Repeatable, Defined, Managed and Optimizing and five key dimensions such as Organization, Resources, Infrastructure, People, and Analytics. Big data assessment system is planned based on the reference model's key factors. In the Organization area, there are 4 key diagnosis factors, big data leadership, big data strategy, analytical culture and data governance. In Resource area, there are 3 factors, data management, data integrity and data security/privacy. In Infrastructure area, there are 2 factors, big data platform and data management technology. In People area, there are 3 factors, training, big data skills and business-IT alignment. In Analytics area, there are 2 factors, data analysis and data visualization. These reference model and assessment system would be a useful guideline for local companies.

• Korean Journal of Construction Engineering and Management
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• v.23 no.1
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• pp.54-63
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• 2022

In order to derive the success factors of a Mega-scale national project, this study conducted a questionnaire survey on experts participating in the Yongsan National Park development program to obtain critical success factors in the program definition phase. AHP analysis was performed for each category through a survey of experts participating in the definition phase of the Yongsan park development program to derive relative importance. The categories were classified into program strategy, process, and people, and the importance between categories was people, strategy, and process in that order. In addition, as for the 27 critical success factors in the program definition phase, the program manager's competency and leadership, environmental and cultural property survey planning, program management plan preparation, operation and maintenance philosophy, and integrated program office showed high priorities. Therefore, in promoting the Yongsan Park development program, we propose a strategy for selecting and focusing on the critical success factors with high priorities in the program definition phase proposed in this study.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.571-575
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• 2007

With intensive competition due to the limited growth of the domestic construction market volume and the opening and construction boom of international construction market, construction firms register to grope strategy of enterprise dimension for improvement such as entry extension of domestic construction market order corporate strategy and international construction market. In this research, influence factors of corporate strategy are extracted and their interrelationships are presented in the domain of change of external environment with the internal and external market system, construction enterprise's internal capacity and corporate strategy, government and the internal and external market. The result of this research will be used for quantitative analysis through system dynamics simulation and basic data of model effectiveness verification through actuality domestic construction enterprise's case study, and can be used to basic data of new corporate strategy establishment because construction enterprise forecasts effect hereafter establishing corporate strategy in construction environment that change rapidly.

• Knowledge Management Research
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• v.11 no.2
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• pp.111-131
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• 2010

The purpose of this study is to categorize group of firms by using characteristics of technical innovation in telecommunication industry and to identify relationships between types of technical innovation and such contingency factors of technical innovation. The major findings of this study are summarized as follows; First, Type 1 Group (Innovative Industry Leading Group) tends to use innovative and market differentiation strategy and has more innovative C.E.O's management style and innovative culture. Second, Type 2 Group (Dependent Group on Market Change) tends to use market differentiation or cost leadership strategy and has a more conservative C.E.O's management style and non-innovative culture. Third, Type 3 Group (Small Technology Intensive Group) tends to use focused innovative strategy and has a more innovative C.E.O's management style and innovative culture. Fourth, Type 4 Group (Non-Innovative Group) tends to use focused cost leadership strategy and has a more conservative C.E.O's management style and non-innovative culture.

• Journal of the Korean Home Economics Association
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• v.46 no.10
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• pp.11-22
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• 2008

This study was conducted to examine how family strengths are affected by parenting stress, socio-demographic factors and communication strategy, with a specific focus on mothers with young children. In total, 418 mothers of 4-5 years old children were included in this study. Higher education achievement was significantly related to higher communication strategy and better family strengths. However educational background had no effect on degree of parenting stress. Lower household income was related to higher parenting stress while higher income resulted in stronger family strengths. However family income showed no correlation with communication strategy. Lower parenting stress and higher communication strategy contributed to better family strengths, The most influential factor of family strengths was parenting stress.

• Korean Management Science Review
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• v.32 no.4
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• pp.209-236
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• 2015

This study focuses on the network externality effect related to the platform supplementary services. This study designs the network externality of platform and suggests a supplementary service adoption model. Additionally, this study examines the moderating effect of demand forecasting for the platform. Using AMOS program, a structural equation modeling has been used to analyze the research model. The findings can be summarized as follows : First, we find out the structural relationship among the factors (usefulness, perceived value, purchase intention) affecting adoption of the supplementary services. Second, positive perception of platform flow can promote the platform interaction. Third, positive perception of present users based on platform can arouse friendly evaluation in the platform interaction. Fourth, loyalty to the platform brand can improve the perceived usefulness of supplementary services, but cannot lessen the resistance to supplementary service cost. In addition, the moderating effects of demand forecasting for the platform in the path leading from platform factors to supplementary service factors were identified. In conclusion, traditional brand strategy may be effective in platform marketing activities but the extent of performance in the strategy can appear to be quite different. Therefore, taking the relationship with network externality into consideration should be involved in the marketing strategy in platform.

• Journal of Distribution Science
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• v.20 no.12
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• pp.71-79
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• 2022

Purpose: This study aimed to apply factors of successful online marketing strategy for food distribution SMEs and the effects of these successful strategies to achieve higher performances. Research design, data, and methodology: Questionnaires were used to collect data from 400 samples of SMEs in Thailand. We employed structural Equation Modeling techniques for data analysis. Results: The results revealed that distribution strategies directly affected the success of business operations, as follows: 1) Customer communication channels, product variety, preserved privacy, and personal service had direct positive effects on the distribution success in terms of financial perspective, customer perspective, internal process perspective, and earning and growth perspectives; 2) Ability to learn a competitor had a positive direct relationship with the distribution success in terms of financial perspective and learning and growth perspectives, excluding customer perspective and internal process perspective; and 3) Responses to market on time had a positive and direct influence on distribution success in terms of customer, internal process perspective and learning and growth perspectives excluding financial perspective. Conclusions: This research has made an essential contribution to SMEs that they should focus on and adopt these 6ODS+4BSC concepts as development guidelines for food distribution SMEs to be more efficient and effective.