• Proceedings of the CALSEC Conference
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• 2005.03a
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• pp.149-154
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• 2005

Recently, lots of EDI-VAN (Electronic Data Interchange-Value Added Network) companies challenge to convert their business systems into Web-based e-business frameworks to avoid high cost and closed structure of EDI system. This research proposes e-Transformation strategies for EDI-VAN companies to adopt Web-based e-business standard frameworks such as ebXML (e-business using XML) and RosettaNet. Four migration strategies for EDI companies are presented, and their properties are described in detail. Transformation procedures of two representative strategies are also provided fur the convenience of medium-sized companies. The result of this work can be used as a practical guideline for EDI companies to develop there own transformation strategy suitable to its scale and capability, while minimizing the impacts on the pre-existing business processes.

• The Journal of Society for e-Business Studies
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• v.7 no.1
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• pp.141-152
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• 2002

Data dictionary is a collection of meta-data, which describes data produced and consumed while performing business processes. Data dictionary is an essential element for business process standardization and automation, and has a fundamental role in ERP application management and customization. Also, data dictionary facilitates B2B processes by enabling painless integration of business processes between various enterprises. We implemented data dictionary support in SEA＋, a component- based scalable ERP system developed in ETRI, and found out that it's a plausible feature of business information system. We discovered that data dictionary promotes semantic, not syntactic, data management, which can make it possible to leverage viability of the tool in the coming age of more meta-data oriented computing world. We envision that business data dictionary is a firm foundation of adapting business knowledge, applications and processes into the semantic web based enterprise infra-structure.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.1951-1966
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• 2007

This research attempts to examine the effects of import penetration in an industry on the firms' decision of business diversification and provide an integrative framework including the determinants and results of the business diversification. The research results are as follows. First, the import penetration doesn't affect the degree of business diversification. Second, the more profitable their core business industry, the lower the degree of business diversification against the import penetration. In addition, both technology-related assets and marketing-related assets are necessary for business diversification when faced with the import penetration. Finally, the inverted U-shaped relationship is supported between the degree of business diversification and firm performance.

• International Journal of Contents
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• v.8 no.1
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• pp.10-15
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• 2012

Since MegaStudy started e-learning business for Korean high school students, the Korean e-learning industry began to expand and steadily gain attention. This paper focused on the analysis of the development of the Korean e-learning business for teens and the growth of MegaStudy. The three institutional mechanisms were used to examine the factors that aided the development of the business. The regulatory mechanism was the government policy to prevent the expansion of the offline private education sector, which greatly aided the growth of the e-learning business. The mimetic mechanism was the notion to mimic the characteristics of the Korean e-business initiatives. The normative mechanism involved the widespread social norm suggesting that every student should be given an equal opportunity of private education. This paper also examined the case of MegaStudy as a successful case of the e-learning companies. It analyzed the business model of MegaStudy, which is based on its advantage as the front-runner and its high-quality contents and services.

• The Journal of Information Systems
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• v.12 no.2
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• pp.109-128
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• 2003

This study is intended to suggest an ideal direction of the information systems policy for the local small business firms. In an effort to accomplish this objective, this paper tried to identify the current states of the information systems and measure the level of the information systems of local small business firms based on the maturity stage and the development level. The study then explored the evidence how the maturity stage and the development level affect the business performance of the local small business firms. The research found out that the organizational factor such as the support of CEO and the financial factor such as IS investment took major roles to improve the business performance. Based on the research findings of this study, the paper suggested the desirable solution of the information system policy to deal with the problems the local small business firms need to overcome.

• The Journal of Information Systems
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• v.23 no.4
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• pp.93-117
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• 2014

How can business ecosystems be a source of firm's competitiveness? Is corporate social responsibility (CSR) is an investment activity for building sustainable business ecosystems? The purpose of this research is to identify the relationship between CSR, social value, sustainable business ecosystems, and firm's competitiveness by introducing a mediating role of social capital. We conducted in-depth interviews with seven informants from two domestic firms and four oversea firms. Three propositions were drawn by analyzing qualitative data collected from the interviews and literature review. Various activities creating social value including CSR and CSV (Creating Shared Value) are positively associated with sustainable business ecosystems. Firm accumulates social capital of the business ecosystem through creation of social value. Finally, the social capital of business ecosystem has a positive influence on firm's competitiveness. Implications were suggested for academics and practitioners.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.48-53
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• 2008

The information technology, in the digital economy era, does a very important role not only for the country's administrative management innovation but also for the business and for the everyday life. Specifically, the e-business for the company or organization is defined as "using the Internet and IT, rescheduling of business process management activities to increase productivity and efficiency and to create new business opportunities." Thanks to the Korea's recent efforts, overall level of informatization and digitalization is able to receive high praise. But the e-business readiness (e-readiness) level is still expected a lot of room for improvement. In this paper, I try to analyze the informatization level of Korea's by the EIU's e-business readiness index and IT industry competitiveness index, to prepare a full-scale e-business era of global competitiveness through any preparation that could do to improve the situation from the analysis of statistical data.

• Journal of the Korea Safety Management & Science
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• v.14 no.2
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• pp.221-228
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• 2012

This paper analyzed twenty-six production-related KPI(Key Performance indicator) factors of business diagnosis, such as personnel, equipment, materials, operations and quality affecting company business competition to 186 small machinery manufacturers in 2010. Also, we explained the concept of Business Positioning and divided research subjects into four Business Positioning Groups formed break-even point ratio & fixed cost ratio to sales and then we compared between the 4 groups using Logistic Regression analysis by SAS statistical software package. The objective of this study is two-fold. The first is to find out production-related KPI factor of superior Business Positioning Group. The second is to suggest improvement ways for small manufacturers in order to get better profitable Business Positioning.

• Journal of Family Resource Management and Policy Review
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• v.6 no.1
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• pp.103-115
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• 2002

The purpose of this study was to analyze which factor, influenced the business and family performance success. Data were obtained from 248 family households. Proxy variable of the business performance was gross business income and of the family performance was the Family AFGAR scores. The multiple regression analysis was conducted for both the business performance equation and family performance equation. The main results of this study were as followings: The results indicated the effects of various business and family characteristics on performance and their contributions to the business and family performance model. Nine explanatory variables such as sex, being home-based, number of hours worked per week, number of family employee, number of nonfamily employee, total asset, the presence of young child under 6, nonbusiness income, and role conflicts were statistically significant in the business performance equation and three explanatory variables such as the hours worked per week, family stress scores, and role conflicts were statistically significant in the family performance equation. The results indicated the need for a more comprehensive view of family business performance.

• Management & Information Systems Review
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• v.15
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• pp.223-244
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• 2004

E-business is one of business innovations to get competitive advantage over other competing companies by utilizing information technology which can make to enhance the efficiencies and effectiveness through connecting one or several value activities. E-transformation is the process of business innovation to trans brick and motor companies to brick and click companies to accomodate e-business environments by means of digitalizing business strategy, business system, business process, and company cultures. In this results, the company can develop entirely new value chain of business and render enhanced services to customers. In this paper, I will represent several e-transformation evaluation models which are used to realize e-transformation(trans from brick and motor companies to brick and click companies). Also, I propose the strategic thrust model, which is composed of strategic targets (customer, suppliers, partners) and strategic tools(technology innovation, integration). This model is differentiated with evaluation models in that it can capture the rapidly changing business environments, especially strategic targets(customers, suppliers, partners).