• Proceedings of the Korea Information Processing Society Conference
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• 2000.10a
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• pp.83-86
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• 2000

공간 데이터가 증가함에 따라 이를 효율적으로 저장하고 분석할 수 있는 기술이 필요하게 되었다. 공간 데이터 마이닝은 데이터베이스에서 유용한 지식을 추출하는 기술로, 기존의 데이터 마이닝 방법에 공간의 개념을 추가하여 확장함으로써 공간 패턴, 공간 객체들의 연관 관계 둥을 얻을 수 있다. 본 논문에서는 공간 데이터 마이닝의 기법 중의 하나인 공간 연관 규칙 탐사 기법을 제안한다. 제안하는 방법은 공간 관계를 포함한 공간 연관 규칙뿐만 아니라 공간 객체의 비공간 속성도 함께 고려함으로써 보다 확장되고 다양한 공간 연관 규칙을 탐사할 수 있다.

• Information Systems Review
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• v.18 no.2
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• pp.127-149
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• 2016

Based on a comprehensive literature review on Theory of Planned Behavior and Social Cognitive Theory, this study proposes and empirically examines a structural model consisting of factors affecting voluntary information security compliance behavior. To test the proposed research model, the study analyzes survey results from employees of a major Korean energy company, which employs an enterprise compliance support system. Results indicate three factors: compliance behavioral belief and compliance knowledge affect compliance behavior; compliance knowledge works as a mediator in the relationship between compliance behavioral belief and compliance behavior; and the more relevant the compliance is to an employee's job, the more the employee prioritizes compliance knowledge. This study suggests methods for encouraging employees to embrace voluntary, positive information security compliance standards. By doing so, this article aims to promote a more effective corporate compliance system for information security and enhance sustainable management practices.

• Journal of the Korean Regional Science Association
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• v.37 no.3
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• pp.3-18
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• 2021

The fourth Industrial Revolution is transforming the industrial structure of the region, and it is necessary to develop new industries and technologies that reflect regional characteristics. The purpose of this study is to measure the knowledge relatedness and technological complexity in Busan, Ulsan, and Gyeongnam, and to identify technologies with potential for regional industrial differentiation strategies. Using patent data from 2015 to 2019, co-occurrence matrices were derived from 652 IPC codes, and the knowledge relatedness density and technology complexity index were calculated. Network analysis was performed using the knowledge relatedness density. As a result of analysis, it was found that mechanical engineering occupied a large proportion, followed by chemistry and electrical engineering. As a result of applying the risk-benefit framework to derive technologies with the potential to differentiate local industries, the technological capabilities of low-risk-high-benefit were different. Among mechanical engineering, technologies such as engine, machine operation, and transportation were included in Busan. In Ulsan, environmental technology in chemical and materials, and heat treatment technology in mechanical engineering were technologies with low-risk and high-benefit capabilities. Gyeongnam showed competence in mechanical engineering, chemistry, and electrical engineering in some areas such as Gimhae, Yangsan, and Changwon. The results of this study are meaningful in that they identified technologies with potential for selecting and deriving strategic industries for regional growth based on latent knowledge in the region.

• Electronics and Telecommunications Trends
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• v.29 no.2
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• pp.69-78
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• 2014

소프트웨어산업은 대표적인 지식산업이면서 동시에 개인, 기업 및 정부에 이르는 각 경제주체의 지식창출과 활용 그리고 파급에 있어서 핵심적 역할을 하는 21세기 지식정보화 시대의 기간산업으로 다른 산업과 비교할 때 연구개발 및 지적노동의 투입이 월등히 높은 지식집약적인 고부가가치산업이다. 본 연구에서는 소프트웨어가 갖는 속성과 소프트웨어산업이 갖는 경제적 특징에 대해 살펴보고, 우리나라 소프트웨어산업의 현주소에 대한 동향도 살펴보았다. 그리고 소프트웨어 산업의 구조가 어떻게 변해 왔는가에 대해 IT산업을 IT기기산업, IT서비스업, 소프트웨어산업으로 구분하여 산업연관분석을 통해 살펴보았다. 본 연구에서는 2000년, 2005년 그리고 2009년도 산업연관표를 통하여 IT산업내의 소프트웨어 산업에 대한 과거 10년간 구조변화를 비교분석함으로써, 소프트웨어산업 구조변화의 분석결과에 대한 정책적 시사점을 제시하였다.

• The Transactions of the Korea Information Processing Society
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• v.3 no.7
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• pp.1781-1791
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• 1996

A number of research issues such as knowledge acquisition, inferencing techniques, and knowledge refinement methodologies have been involved in the development of expert systems. Since each issue is considered very com- plicated, there has been little effort to take all the issues into account collectively at once. However, knowledge acquisition and inferencing are closely reated because the knowledge is extracted by human experts from the inferencing process for solving a specific task or problem. Knowledge refinement is also accomplished by hand-ling problems caused during the inferencing process of the system due to incompleteness and inconsistency of the knowledge base. From this perspecitive, we present a method by which software platform is established in which those issues are integrated in the development of expert systems, especially in the domain where the domain models and concepts are hard to be constructed because of inherent fuzziness of the domain. We apply a machine learning technique,technique, conceptual clustering,to build a knowledge base and rual models by which an efficient inferencing,incermental knp\owledge acquisition and refinment are possible.

• The Journal of Society for e-Business Studies
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• v.13 no.3
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• pp.153-171
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• 2008

Center of labor power was moved from physical labor to knowledge labor on modern knowledge society comparing with past industrial age, but dramatic result is not appearing in knowledge worker's productivity. "Peter F. Drucker" called "father of modern business management" is essential factor of knowledge labor based on expert, performance, concentration, own administration official, second half of life. And studied about task, reform, autonomy, education, quality, relation of information communication that is knowledge worker's productivity determinant factor. As research result, was expose that relativity is high by performance>concentration>own administration official>expert, second half of life in essential factor of knowledge labor. Specially, all productivity determinants and effect factor were performance by result to knowledge worker. Therefore, knowledge worker can expect formation's target and performance though search and practical use of continuous information are achieved in own field.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.432-445
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• 2019

Since industry and technology are being developed through interactions, intellectual property (IP), which are used as a substitute for technology, are found to have a close relationship with industry. The current status of IP and the business revenue differences of enterprises of south Korea are analyzed in the disaster-safety industry. Only 2.66% out of 49,538 firms have IP, indicating that most companies do not have IP. The difference in sales due to the ownership of IP is not statistically significant in middle-standing enterprises, but that of medium and small-sized enterprises (SMEs) is statistically significant. It is also found that 17 Divisions, which have IP, out of 21 Divisions in the Disaster-Safety Industry Special Classification of Korea have higher business revenue, and 10 Divisions of those 17 Divisions indicate statistical significance. In conclusion, the ownership of IP is one of the factors affecting the difference in business revenue for SMEs in Korea, implying that it is important to focus on creating and securing IP.

• Information Systems Review
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• v.21 no.4
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• pp.69-97
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• 2019

Knowledge service firms are able to have higher 'Organizational Performance (OP)' by improving efficiency in management processes on customer problem solving. This study explores the role of inefficiency that has been overlooked up to now compared to the management process efficiency. We also suggest in this study 'Hierarchical Culture (HC)' and 'IT Relatedness (IR)' as the factors influencing the inefficiency of management processes, and propose the moderating effect of 'Task Difficulty (TD)' on the relationship between independent factors and 'Inefficiency of Business Process(IP)'. The results of analysis show that 'HC' has a positive effect on 'IP', and 'IR' has a negative effect on 'IP'. 'TD' was significant moderator of between independent variables and 'IP'. 'IP' was shown to play a full mediating role between independent factors and 'OP'. In conclusion, knowledge service firms are desired to reduce 'HC' and enhance 'IR' by minimizing unnecessary formal procedures, securing flexibility in decision making through appropriate empowerment, creating a smooth flow of knowledge, and enhancing the level of IT resource management and utilization. In addition, in order to effectively reduce 'IP', it is required that a company with a high degree of 'TD' to more reduce a 'HC' and a company with a low degree of 'TD' to more enhance a 'IR'.

• Patent21
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• s.72
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• pp.20-27
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• 2007

• Information Systems Review
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• v.17 no.1
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• pp.19-47
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• 2015

The purpose of this research is to represent how ICT relatedness and organization environment influence on interactions between healthcare specialist and patients, and how knowledge sharing influence on healthcare innovation, and how service innovation influence on service performance through structured research model. This research also has applied to resource based view, adaptive structuration theory, service innovation, ICT relatedness to find out performance effect on healthcare service innovation and service performance. In other words, organization structure environment and ICT relatedness are important factors to promote interaction between healthcare service providers and customers like patients each other, moreover, to share the tacit knowledge by creating in the interaction. Moreover in order to verify model fitness, this research has surveyed among healthcare specialists, technicians and other staffs. Model verification result, all hypotheses have been found to give a positive effect on the creation and significantly. Structured organizational environment and ICT association is to promote the organization's functions by influencing the behavior of the service organization and patient interaction and knowledge sharing, and suggests that the major factors influencing the innovation performance of hospitals and health care services.