• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.211-222
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• 2020

In today's society, competition of talents is a critical factor of success in modern enterprises due to living in the era of knowledge economy. Also, success of a modern enterprise can be defined by the brand equity or value of the company name defined by general public (functional) and its employees (symbolic). Company brand equity is a subjectively defined by each employee. This article aims to link the relations between employee's perception of employer brand equity to employees' job performance and turnover intention. In order to empirically verify the effects of employer brand on employee's organizational commitment, performance, and turnover intention, study conducted the general employees working for MNC in the field of e-commerce, IT, and Networking business based in China. Total 235 questionnaires were used for the empirical analysis and SPSS 21.0 statistics package was used to analyze the collected data. The results can be summarized as follows: (1) Both the functional employer brand and the symbolic employer brand equity have a significantly positive impact on organizational commitment. (2) Both the functional employer brand equity and the symbolic employer brand equity have a significant positive impact on employee performance. (3) Neither the functional employer brand equity nor the symbolic employer brand equity confirmed the negative relationship between turnover intentions. (4) Organizational commitment play the intermediary role in the impact of employer brand equity on employees' work performance.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.292-300
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• 2022

This study aims to improve the situation in which accurate job information for small and medium-sized enterprises is not known and it is difficult to identify jobs that meet the preference criteria from the perspective of the 'employer brand'. To this end, through a hierarchical regression analysis of 700 young job seekers, the factors affecting the intention to get a job centered on five value factors (Interest Value, Social Value, Economic Value, Development Value and Application Value) were identified by reflecting the brand categorization theory. As a result of the analysis, it was confirmed that young job seekers are more interested in work culture, environment, and utilization of their majors, which directly affect job seekers, rather than characteristics of companies such as talent development, products, services, and management, and are influenced by their intention to work. This suggests that the job policy for SMEs needs to be changed from the existing quantitative support-centered to a qualitative improvement that strengthens the use of platform-centered job information.

• Information Systems Review
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• v.5 no.2
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• pp.241-256
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• 2003

This empirical study is to explain critical success factors for building effective regional IT cluster from the literature reviews which have some limitations, and is to suggest new key factors from the views of Regional Innovation System and Sectoral Systems of Innovation. For building successful cluster, the new key factors not only stress on regional networks, the spill-over of tacit knowledge through learning by interacting, institutions which contain regional custom, norms, established practices, culture, and characteristics from the Regional Innovation System, but also emphasize on heterogeneous agents who are interacting by each others from Sectoral Systems of Innovation. From these factors we suggest some strategies for building effective "Daegu IT Cluster" as following; making characterized IT brands which are selected and concentrated based on regional and IT sectoral characteristics, strengthening learning competence of tacit knowledge built in multiple heterogeneous agents network, establishing strong agent networks which are composed of universities, companies, institutes and government, and sharing the institution of mind-opening culture in order to correspond with environmental changes and link to other industrial clusters. By putting above strategies in force, the compatabilities of Daegu region are reinforced. Tacit knowledges spill over and the regional innovation competence are accumulated. Also IT cluster plays core role of employment in Daegu for long term. Especially, "Daegu IT Cluster" changes city's image from medium and small manufacturing city to new industrial city based on high technologies.

• Journal of Korea Port Economic Association
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• v.24 no.2
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• pp.241-263
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• 2008

Since the outsourcing logistics business has been an emerging opportunities for many new service providers entering into such an ever-changing technology, knowledge and logistics market, it has resulted into a price-sensitive and high competition industry. In order to sharpen the global competitive power of the information-contents business in this severe environment, this research is engaged in meeting the following purposes: 1. well position the outsourcing logistics services in the logistics business industry 2. articulate the business model to compete in the outsourcing logistics services market, Information-contents industry. 3. propose a competitive strategy for a outsourcing logistics services provider to grow the information-contents business. This research report could also serve as a framework for the other logistics and the outsourcing services companies to plan out their competitive strategies of information-contents industry. For new comers to join the same market, it will be also helpful in positioning their services and making business decisions in a holistic view.

• Journal of Intelligence and Information Systems
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• v.27 no.4
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• pp.23-48
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• 2021

The Korean economy has achieved continuous economic growth for the past several decades thanks to the government's export strategy policy. This increase in exports is playing a leading role in driving Korea's economic growth by improving economic efficiency, creating jobs, and promoting technology development. Traditionally, the main factors affecting Korea's exports can be found from two perspectives: economic factors and industrial structural factors. First, economic factors are related to exchange rates and global economic fluctuations. The impact of the exchange rate on Korea's exports depends on the exchange rate level and exchange rate volatility. Global economic fluctuations affect global import demand, which is an absolute factor influencing Korea's exports. Second, industrial structural factors are unique characteristics that occur depending on industries or products, such as slow international division of labor, increased domestic substitution of certain imported goods by China, and changes in overseas production patterns of major export industries. Looking at the most recent studies related to global exchanges, several literatures show the importance of cultural aspects as well as economic and industrial structural factors. Therefore, this study attempted to develop a forecasting model by considering cultural factors along with economic and industrial structural factors in calculating the import volume of each country from Korea. In particular, this study approaches the influence of cultural factors on imports of Korean products from the perspective of PUSH-PULL framework. The PUSH dimension is a perspective that Korea develops and actively promotes its own brand and can be defined as the degree of interest in each country for Korean brands represented by K-POP, K-FOOD, and K-CULTURE. In addition, the PULL dimension is a perspective centered on the cultural and psychological characteristics of the people of each country. This can be defined as how much they are inclined to accept Korean Flow as each country's cultural code represented by the country's governance system, masculinity, risk avoidance, and short-term/long-term orientation. The unique feature of this study is that the proposed final prediction model can be selected based on Design Principles. The design principles we presented are as follows. 1) A model was developed to reflect interest in Korea and cultural characteristics through newly added data sources. 2) It was designed in a practical and convenient way so that the forecast value can be immediately recalled by inputting changes in economic factors, item code and country code. 3) In order to derive theoretically meaningful results, an algorithm was selected that can interpret the relationship between the input and the target variable. This study can suggest meaningful implications from the technical, economic and policy aspects, and is expected to make a meaningful contribution to the export support strategies of small and medium-sized enterprises by using the import forecasting model.