• Journal of Intelligence and Information Systems
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• v.26 no.3
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• pp.37-50
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• 2020

Information security has become an important issue in the world. Various information and communication technologies, such as the Internet of Things, big data, cloud, and artificial intelligence, are developing, and the need for information security is increasing. Although the necessity of information security is expanding according to the development of information and communication technology, interest in information security investment is insufficient. In general, measuring the effect of information security investment is difficult, so appropriate investment is not being practice, and organizations are decreasing their information security investment. In addition, since the types and specification of information security measures are diverse, it is difficult to compare and evaluate the information security countermeasures objectively, and there is a lack of decision-making methods about information security investment. To develop the organization, policies and decisions related to information security are essential, and measuring the effect of information security investment is necessary. Therefore, this study proposes a method of constructing an investment portfolio for information security measures using game theory and derives an optimal defence probability. Using the two-person game model, the information security manager and the attacker are assumed to be the game players, and the information security countermeasures and information security threats are assumed as the strategy of the players, respectively. A zero-sum game that the sum of the players' payoffs is zero is assumed, and we derive a solution of a mixed strategy game in which a strategy is selected according to probability distribution among strategies. In the real world, there are various types of information security threats exist, so multiple information security measures should be considered to maintain the appropriate information security level of information systems. We assume that the defence ratio of the information security countermeasures is known, and we derive the optimal solution of the mixed strategy game using linear programming. The contributions of this study are as follows. First, we conduct analysis using real performance data of information security measures. Information security managers of organizations can use the methodology suggested in this study to make practical decisions when establishing investment portfolio for information security countermeasures. Second, the investment weight of information security countermeasures is derived. Since we derive the weight of each information security measure, not just whether or not information security measures have been invested, it is easy to construct an information security investment portfolio in a situation where investment decisions need to be made in consideration of a number of information security countermeasures. Finally, it is possible to find the optimal defence probability after constructing an investment portfolio of information security countermeasures. The information security managers of organizations can measure the specific investment effect by drawing out information security countermeasures that fit the organization's information security investment budget. Also, numerical examples are presented and computational results are analyzed. Based on the performance of various information security countermeasures: Firewall, IPS, and Antivirus, data related to information security measures are collected to construct a portfolio of information security countermeasures. The defence ratio of the information security countermeasures is created using a uniform distribution, and a coverage of performance is derived based on the report of each information security countermeasure. According to numerical examples that considered Firewall, IPS, and Antivirus as information security countermeasures, the investment weights of Firewall, IPS, and Antivirus are optimized to 60.74%, 39.26%, and 0%, respectively. The result shows that the defence probability of the organization is maximized to 83.87%. When the methodology and examples of this study are used in practice, information security managers can consider various types of information security measures, and the appropriate investment level of each measure can be reflected in the organization's budget.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.205-212
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• 2018

With the development of high performance CPU / GPU, artificial intelligence algorithms such as deep neural networks, and a large amount of data, machine learning has been extended to various applications. In particular, a large amount of data collected from the Internet of Things, social network services, web pages, and public data is accelerating the use of machine learning. Learning data sets for machine learning exist in various formats according to application fields and data types, and thus it is difficult to effectively process data and apply them to machine learning. Therefore, this paper studied a method for building a learning data set for machine learning in accordance with standardized procedures. This paper first analyzes the requirement of learning data set according to problem types and data types. Based on the analysis, this paper presents the reference model to build learning data set for machine learning applications. This paper presents the target standardization organization and a standard development strategy for building learning data set.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.592-606
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• 2021

This study examines the impact of knowledge management strategies and knowledge management determinants for each type of knowledge management of a company on knowledge activities, and because each company's situation and conditions are different, it is necessary to approach each knowledge management type. The analysis was conducted using the SPSS 18.0 program targeting 81 companies that have introduced knowledge management systems or knowledge management by categorizing them into technology-oriented and combined types. The result is that Initial types are based on changes in organizational structure and active adoption of information technology, and the Organizational knowledge centers use management systems (CEO support, performance compensation system, education and training system) and infrastructure building and information technology to maximize individual knowledge. The Information technology-oriented types rely more on information technology such as infrastructure building and information technology use rather than organizational knowledge. and the Combination type is understood as an educational and training system and decentralized organizational structure for the overall expansion of the organization. Through this study, effective and significant strategies, knowledge management determinants, and knowledge activities for each type were presented.

• STI Policy Review
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• v.5 no.1
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• pp.131-144
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• 2014

The entrepreneurial university concept is a new challenge and opportunity for science and technology universities in Korea. The traditional university functions of education, research, and community service are still highly relevant, but increasingly so are new types of collaboration for research outcomes and funding resources. Strategic university management is needed to handle socioeconomic contribution, involving the creation and maintenance of proactive relationships with firms, national and regional governments, and other regional entities. The emergence of the entrepreneurial university in Korea is similar to the socioeconomic changes observable in the history of university development in America and in many other developed countries. In this paper, we examine the emerging paradigm of entrepreneurial universities in Korea and discuss the interactions among universities, firms, and government strategy and policy by investigating and comparing two universities, POSTECH and KAIST, in their leadership, adaptation to changes in the environment, business strategies, organization, and cooperative network. We conclude with policy points that emphasize the fact that while entrepreneurial universities are an emerging concept, they can expand innovation and creativity in education and research in Korean universities in the mid-to-long term if university administration, policymakers and public administrators, and regional innovation actors take an interest in the need for a new organization and system where university research can contribute socioeconomically.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.2
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• pp.93-104
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• 2022

Purpose - Organizational individuals can gain profit from any trials and errors concerning the knowledge others have been able to accumulate. The culture also states the organizational behaviors by identifying the principal aims, and the way members handle personal relationships. This study aims that how corporate cultures can be connected with particular occupations. Research design, Data, and methodology - For the systematic review in prior literature dataset, the present author used the PRISMA which is a set of items that are evidence-based and utilized in reporting systematic reviews. It includes the reporting of meta-analyses. Result - The present author figured out that corporate culture is one of the most crucial factors that workers consider in deciding whether or not they want to be employed in an organization. Having an excellent corporate culture sets the company apart from the competition and increases the company's status to new positions of recruiting and business success Conclusion - The current research concluded that possessing an excellent corporate culture positions the company apart from the competition but boosts the company to new recruiting and business success levels. The two traits of an excellent corporate culture include the culture allowing every individual in the organization to succeed, and the culture works for every individual involved.

• Journal of Distribution Science
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• v.16 no.4
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• pp.17-20
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• 2018

Purpose - The purpose of this paper is to analyze and illustrate Amazon's business strategies and its success in terms of its distribution strategy and business practices. Research design, data, and methodology - This is an analytical case study that examines Amazon's business strategies to demonstrate the importance of technologies to the success and sustainability of its organization. Results - The analysis indicates that the business strategies, including technology, distribution infrastructure, and customer service, are the most vital factor for the success and rise of Amazon, and these strategies have separated Amazon from its competitors in both e-tail and brick and mortar retail industries. Conclusions - Given Amazon's continued growth that came with its constant strive for delivery and cost efficiency, technology innovation, and customer satisfaction, it was inevitable that Amazon would eventually venture into different types of businesses. The previous and current Amazon's business strategies demonstrate that Amazon will continue to focus on developing and implementing new and creative strategies to separate itself from the rest of the retail and e-businesses. Furthermore, retail businesses in the most high-tech countries in the world, including Japan, Korea, and Russia, may have to adopt business strategies that are similar to those of Amazon to maintain their competitiveness.

• Journal of Agricultural Extension & Community Development
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• v.21 no.4
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• pp.1149-1189
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• 2014

Nowadays, many farmers use online management diagnosis tool developed by Rural development agency(RDA) for the purpose of self-diagnosis of their farm management. Database(DB) was created using the diagnosis results and has been used for agri-firm management consulting. However, the amount of diagnosis data in the DB has been decreasing year by year. This means that the diagnosis tool of RDA did not reach farmers' expectation. Therefore it is necessary to develop a practical consulting tool which is applicable for various types of agri-firm management. This study introduces a management diagnosis tool and consulting method based on multi-contingency organization theory and value chain model for the purpose of improving existing tools and methods. The consulting method based on multi-contingency organization theory shows the core strategy of agri-firms by two different ways such as "efficiency-oriented" direction and "effectiveness-orientated" direction. Also, this method emphasizes that the performance of firm can be achieved when subelements of firm activities follow the same direction with the orientation of core strategy. The important thing is the right firm management activity fitted to its strategic direction. Through this action, limited firm resources can be optimized. In order to make itself understand, this study shows a practical example applied by this method from actual agri-firms.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.127-149
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• 2013

Competitiveness of service industry in Korea is relatively lower than OECD countries'. Korean government, therefore, has been trying to improve the competitiveness of service industry by accelerating information technology (IT) adoption. Even though most of factors of IT can be contributed to improve the financial performance, it may be affected differently among various industry types and life cycles of companies. Therefore, it is one of very important research issues to analyze the influential effect of IT considering industry types and organizational life cycles in service industries. The purpose of this study is to find out critical success factors of IT which influence financial performance considering different types and life cycles of service industries. We developed the model and identified key success factors of IT adoption as IT system quality, Information quality, IT maintenance, CEO support, IT education of organization, and IT competence of user. Additional analysis of moderating effect by organizational life-cycle and types of service industry are conducted. For data sampling 856 companies are participated and total 2,000 questionnaires are collected. Structural equation modeling method is conducted for statistical analysis. The results show that the model is valid and most of success factors of it are very useful for improving financial performance of service industries except organizational IT education. Moderating effect of industry types and organizational life cycles is valid but partially accepted. The results might be able to provide useful directions and guide lines of IT acceleration in service industries.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.448-455
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• 2001

Recently, many enterprises have attempted to capitalize knowledge assets on data warehouse (DW). It has been recognized as strategic core process to create corporate competitive advantage and implement enterprise e-biz strategies. However, most approaches to represent knowledge and decision process have limits in considering various knowledge types, their relationships and continuity in knowledge formulation. In addition, they are so inclined to one side such as concept-oriented frameworks or technology-oriented ones. They lack universal and wide-ranging features. This paper presents a comprehensive methodology to accumulate knowledge capital on DW via a properly grained hypermedia model. The methodology consists of three phases: knowledge requirement elicitation, hypermedia modeling, and system implementation. A real-life case for medical DW development is presented to demonstrate the usefulness of the proposed methodology. This methodology is effective when an organization accumulates knowledge assets to put the corporate e-biz or cre-biz strategy into practice.

• Journal of the Korea Furniture Society
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• v.20 no.6
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• pp.552-559
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• 2009

While the population conducting the production-oriented leisure activity is spread, the expertly franchised types of woodworking workshop based on good organization and economic power are also undergoing rapid growth with the related industries. Such tendency needs the systemized marketing strategy for woodworking workshop industry, but most of the woodworking workshops are regarding the deal with customers as simple exchange business in the market. The factors of the relationship marketing hereupon should be constituted as basic material for the study of the relationship marketing of DIY woodworking workshop. This study was intended to select the appropriate factors for relationship marketing and to apply the related theoretical backgrounds on the basis of the preceding studies regarding the factors of relationship marketing. As the factors it was selected that service and expertise of staff under the category of the characteristics of staff, reasonable price, diversity of products and convenience of facility in woodworking workshop under the category of the customer-oriented service, and communication and favorite program under that of the relation-oriented service.