• The Journal of Society for e-Business Studies
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• v.5 no.1
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• pp.93-104
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• 2000

Domestic automotive industry is also facing the moment it should be with a competitively priced and highly qualified automotive ta compete with worldwide automotive makers of world market through global marketing and global sourcing. At this point, weve been studying xNX model of USA, Japan and Europe with OEMs, suppliers and KAMA(Korea Automotive Manufacturers Association) to give a network infrastructure of guaranteed service quality network performance, reliability, security and trouble handling. We hope all efforts above mentioned will make the whole industry more competitive and powerful.

• Proceedings of the Korea Association of Information Systems Conference
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• 2004.11a
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• pp.37-41
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• 2004

The existing network can be expanded with addition of new nodes and multiple choices of link type for each nossible link. In this paper, the design problem of network expansion is defined as finding the network topology minimizing cost subject to reliability constraint. To efficiently solve the problem, an genetic algorithm approach is suggested.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.67-89
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• 2007

This study addresses manufacturers' ability to influence their supply chain network in order to adapt to their competitive environment. From the perspective of a manufacture, the supply chain comprises a network of suppliers and customers, and is theoretically viewed as a complex adaptive system. This study considers the following questions: (1) How can adaptability of supply chain network be operationally defined? (2) How does adaptability of supply chain network lead to combinative capabilities? (3) What is the influence of adaptability of supply chain network on business performance? Drawing on literature streams in supply chain management, operations strategy, organizational change and learning, and complexity theory, this study develops and tests the constructs and operational measures of adaptability of supply chain network and model the nomological set of relationships among constructs that form the basis of our theory. This study then develops and tests a model describing the outcomes of adaptability of supply chain network and its influence on combinative capability and business performance. Empirical results of this study show that adaptability supply chain network directly and positively affects combinative capability. Further, this study finds that adaptability of supply chain network does not impact business performance directly, but rather is mediated through combinative capability, which provides the requisite variety for firms to survive and thrive in dynamic environments.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.109-114
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• 2020

The aim of this study is to develop basic artificial neural network models in forecasting the in-sample gross domestic product (GDP) of Malaysia. GDP is one of the main indicators in presenting the macro economic condition of a country as set by the world authority bodies such as the World Bank. Hence, this study uses an artificial neural network-based approach to make predictions concerning the economic growth of Malaysia. This method has been proposed due to its ability to overcome multicollinearity among variables, as well as the ability to cope with non-linear problems in Malaysia's growth data. The selected inputs and outputs are based on the previous literatures as well as the economic growth theory. Therefore, the selected inputs are exports, imports, private consumption, government expenditure, consumer price index (CPI), inflation rate, foreign direct investment (FDI) and money supply, which includes M1 and M2. Whilst, the output is real gross domestic product growth rate. The results of this study showed that the neural network method gives the smallest value of mean error which is 0.81 percent with a total difference of 0.70 percent. This implies that the neural network model is appropriate and is a relevant method in forecasting the economic growth of Malaysia.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.457-463
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• 2012

Social network game (SNG) literally is a game based on the relationship between social network or Relationships with people is an important element in the game you need to make full use of them is that you can smooth progress. The form of a social network game activities in the social network game applications by linking corporate products and can be induced to purchase marketing and advertising through in-game social network game on the company's Web site or by connecting the mall and shop are also available. In this study, SNG business models, Case For game development, social commerce based on the new proposed future revenue model linking scheme is proposed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.3
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• pp.171-183
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• 2012

This study intends to find a solution through the activation of community business as a business as a business model of the creation of real satisfaction for the region's residence. In this study focuses on finding out how community building project, which is recently emerging as a new paradigm of regional development. In the past, we have lived community units, but nowadays many communities have been destroyed by the capitalization and the urbanization even in the rural area. This report studies essential elements needed for successful 'Rural Community Business' through case studies of 'Dandelion Village' in Gyoengsangnamdo. In order to do so, we analyzed this villages according to a theoretical 'Sustainable Community Business Model.' We constructed successful business model of 'Rural Community Business' based on six groups - 'Community Leader,' 'Teamwork,' 'Sustainable Population Influx,' 'Sustainable Voluntary Participations of Community Members,' and 'Sustainable Networking.

• Korean Management Science Review
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• v.32 no.2
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• pp.15-35
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• 2015

Large business groups typically have central firms through which their controlling families establish (or acquire) new firms and maintain control over other member firms. Research on corporate governance has developed metrics to identify those central firms and investigated an impact of the centrality on ownership structure and firm's financial performance. This paper introduces centrality metrics used in social network analysis (SNA) to measure how crucial a role each firm plays in the ownership structure of its business group. Then, the SNA centrality metrics are compared with the metrics developed in corporate governance field. Also, we test the relationship between the SNA centrality metrics and firm's value. Experimental results show that the SNA centrality metrics are closely correlated with the centrality metrics used in corporate governance and are significantly correlated with firm's value.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.315-316
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• 2023

본 논문에서는 딥러닝을 활용하여 KBO (Korea Baseball Organization)의 다음 시즌 플레이오프 진출 확률을 예측하는 Deep Neural Network (DNN) 시스템을 설계하고 구현하는 방법을 제안한다. 연구 방법으로 KBO 각 시즌별 데이터를 1999년도 데이터부터 수집하여 분석한 결과, 각 시즌 데이터 중 경기당 평균 득점, 타자 OPS, 투수 WHIP 등이 시즌 결과에 유의미한 영향을 끼치는 것을 확인하였다. 모델 설계는 linear, softmax 함수를 사용하는 것보다 relu, tanh, sigmoid 함수를 사용했을 때 더 높은 정확도를 얻을 수 있었다. 실제 2022 시즌 결과를 예측한 결과 88%의 정확도를 도출했다. 폭투의 수, 피홈런 등 가중치가 높은 변수의 값이 우수할 경우 시즌 결과가 좋게 나온다는 것이 증명되었다. 본 논문에서 설계한 이 시스템은 KBO 구단만이 아닌 모든 야구단에서 선수단을 구성하는데 활용 가능하다고 사료된다.

• Proceedings of the CALSEC Conference
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• 2004.02a
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• pp.164-167
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• 2004

- Ongoing amplification of network infrastructure and activation of e-Business - More and more all kinds of business process are executed in electronic ways -Need to view e-Business software infrastructure as Social Overhead Capital(omitted)

• Information Systems Review
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• v.5 no.2
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• pp.23-36
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• 2003

This study proposed the approaches to business process redesign and business network redesign in e-business environment through the case analysis of e-Transformation performed in Kolon Gloteck, Inc. which has been managed and operated in a traditional mode. The proposed e-Transformation approaches of the traditional firm in this study were as following: 1) Network-focused business process redesign; 2) Introducing ERP(Enterprise Resource Planning) as e-Business backbone; 3) Establishing transparence of business functions through using shared database; 4) Understanding customer and constructing IT(Information Technology) infrastructure for customer satisfaction; 5) Performing data and process standardization; 6) Applying the best suitable IT(Information Technology) such as JSP(Java Server Pages) and VPN(Virtual Private Network). The findings of this case study are thought to be useful as a practical guideline in carrying, out e-Transformation of the typical traditional firm and to provide significant basis for constructing the theoretical framework of e-Transformation methodology.