• Knowledge Management Research
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• v.1 no.1
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• pp.47-64
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• 2000

As the Knowledge Economy grows bigger, studies and practices of knowledge management flourish in almost every organizations. Yet, the studies of fundamental relationships between knowledge and organization have not been sufficiently developed. It is partly because current knowledge management mainly focus on the technical aspects of the theme. This paper tries to find the possible organizing principles and theoretical foundations of knowledge-intensive organizations through the perspective of knowledge market and knowledge community. Based on the differentiation of "knowledge" and "knowing", the author draws several propositions about knowledge creation and knowledge use. Then, the author relates these propositions to the design and implementation of two theoretical models of organizations, i. e. knowledge market and knowledge community. Major claims are: 1) Knowledge use and knowledge creation process are conceptually separable, so that different conceptual models (market & community) need to be applied. 2) Since knowledge use and creation should be integrated, organizations in the Knowledge Economy should be the efficient knowledge market and, at the same time, knowledge community with care and cooperations. 3) The network of independent small KIFs(knowledge-intensive firms) could be considered as the possible organizational model of the future.

• Journal of the Economic Geographical Society of Korea
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• v.8 no.1
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• pp.31-50
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• 2005

The purpose of this study is to analyse the role of the inter-regional knowledge network in the knowledge based economic development of regions, using regional data collected over the IMF financial crisis between 1996 and 2001. In particular, the major questions about the inter-regional knowledge network in terms of regional innovation are as follows. First, how can be distinguished the inter-regional knowledge networks among the regions? Secondly, what is the relationship between the real object economy and the inter-regional knowledge network? To answer rho questions listed above, the social network analysis is used to examine the association between the intra-regional knowledge linkage structure and the change of the real object economy. For the empirical analyses, regional labour data for 16 Metropolitan Areas(Si) and Provinces(Do) from 1996 to 2001 are used. The findings of the study suggest that there is a significant positive relationship between the concentration of the inter-regional knowledge linkage and a rate of economic growth of the real object economy and that there is a negative correlation between the density and the standard deviation of the inter-regional knowledge linkage and the rate.

• 지역과문화
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• v.6 no.1
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• pp.1-27
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• 2019

The study explores the way how sharing economy services of accommodation and car rental, one of social issues actively discussed today are settled in the process of sharing economy building in local destinations. The result shows that average consumers expressed their favorable attitude toward the sharing economy services. However, the consumer's attitude didn't directly affect the consumer's positive perception that there is need for local sharing economy service network and the educational system for local residents and the network helps the economy. Instead consumer's knowledge of sharing economy services and their eagerness to learn the knowledge as parameters related the consumer's attitude to their perceptions; the consumer's attitude affected indirectly their perceptions. The study shows that local communities and their residents' efforts are not enough simply to activate the sharing economy services in the development process of tourist resources, while it asks consumers to learn information and knowledge of the sharing economy. Therefore, consumers and residents should interact and communicate closely with each other to help the development of local destinations and tourist resources based on sharing economy.

• Knowledge Management Research
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• v.19 no.2
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• pp.47-68
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• 2018

Business environment is shifting from industrial economy to knowledge based economy. Enterprises go through numerous trials for successful management in changing environment. Along with trial tests, research area has been growing simultaneously. Unlike initial research which focused on basic concepts such as: form of business model and success points. Current research emphasizes on actualization of business that enterprises plan, which brought academic research with perplex form of knowledge structure. On the other hand, there is limitation in understanding business model systematically due to preceding research primarily centered on analyzing definition and case study. In order to analyze knowledge structure, this study utilized social network analysis based on "relationship". For the analysis, 13,412 keywords were extracted from 36years worth of article or research related to business model stored in SCOPUS database. From the analysis, it was shown core research subject was INNOVATION and the number of co-authors has increased due to the academic diversity. Business model research is divided into five sub-categories (E-commerce, SMEs, sustainability, open-source, and e-book). Through cognitive map analysis on each of research characteristics of sub-category, it has shown that E-commerce, SMEs, sustainability, and open-source are core categories.

• Journal of Information Technology Services
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• v.17 no.2
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• pp.143-163
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• 2018

The business models has a great impact on the successful management of enterprises. Business environment has been shifting from industrial economy to knowledge-based economy. Enterprises go through numerous trials for successful management in the changing environment. Along with trial tests, research areas have been growing simultaneously. Although many researches have been conducted with regard to business models, it is very insufficient to systematically analyze the knowledge flow of research. Accordingly, successive researchers who want to study the business model may find it difficult to establish the orientation of future application research based on understanding the process of changing the knowledge structure that have accumulated so far. This study is intended to determine the current state of the business model research and to understand the process of knowledge structure changes in keywords that appear in 2,667 business model articles in the SCOPUS database. Identifying the knowledge structure has been completed through social network analysis, a methodology based on the 'relationship', and the changes in the knowledge structure were identified by classifying them into four different periods. The analysis showed that, first, the number of business model co-author increases over time with the need for academic diversity. Second, the 'innovation' keyword has the biggest center in the network, and over time, the lower-rank keyword which was in the former period has emerged as the top-rank keyword. Third, the cohesiveness group decreased from 12 before 2000 to 5 in 2015 and also the modularity decreased as well. Finally, examining characteristics of study area through a cognitive map showed that the relationships between domains increased gradually over time. The study has provided a systematic basis for understanding the current state of the business model research and the process of changing knowledge structure. In addition, considering that no research has ever systematically analyzed the knowledge structure accumulated by individual researches, it is considered as a significant study.

• Proceedings of the Technology Innovation Conference
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• 1999.12a
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• pp.197-215
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• 1999

With the advent of knowledge-based economy and information society, information and telecommunications(IT) industry is reckoned as the crucial sector for the creation and diffusion of technological knowledge. In this study, we analyze the process of 'industrialization of IT'and 'informatization of industries' based on the technology linkage structure, or technological knowledge network. The former is defined as the process whereby IT industry absorbs technological knowledge from other industries to grow as an independent industrial sector. The latter is defined as the process whereby other industries adopt IT technology to enhance productivity and upgrade industrial structure, We employ the R&D stock as a proxy for technological knowledge of respective industries and measure the flow of technological knowledge between industries in terms of I/O relationship. By applying the network analysis, we examine the changing pattern of technology linkage structure of the Korean industry throughout the years from 1983 to 1997. Some policy implications are presented based on the findings from the analysis.

• Proceedings of the CALSEC Conference
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• 2001.02a
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• pp.445-455
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• 2001

it does not matter who (which nation) owns the company.... what matters is where the greatest value is added in the transnational network. Countries will prosper or stagnate by the skills they inject into these value chains. In the economy of the future, knowledge is king, and influence flows from wherever knowledge resides.(omitted)

• Management & Information Systems Review
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• v.26
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• pp.133-152
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• 2008

In the knowledge and network economy, standards and standardization become an important factor in determining the competitiveness of nations and firms. This paper analyses some cases of firms' strategic standardization. We defined the concept of standards, standardization, strategic standardization, and standardization management, which have been unfamiliar in the academic society. The standardization strategy can be categorized into four types according to firm's management objectives or benefits, including technological innovation, market creation/extension. cost-down, and accreditation. This classification of standardization strategy is very useful in analysing the various kinds of the cases of strategic standardization implementation. We found that standards and standardization have a positive influence on firm's overall performance. In some cases, for example, Dell Computer, Sun Microsystems, Deere & Company, etc., strategic standardization plays a role as a key success factor(KSF).

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.25-29
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• 2001

There are so many researches about the search method for the most compatible dispatching rule to a manufacturing system state. Most of researches select the dispatching rule using simulation results. This paper touches upon two research topics: the clustering method for manufacturing system states using simulation, and the search method for the most compatible dispatching rule to a manufacturing system state. The manufacturing system state variables are given to ART II neural network as input. The ART II neural network is trained to cluster the system state. After being trained, the ART II neural network classifies any system state as one state of some clustered states. The simulation results using clustered system state information and those of various dispatching rules are compared and the most compatible dispatching rule to the system state is defined. Finally there are made two knowledge bases. The simulation experiments are given to compare the proposed methods with other scheduling methods. The result shows the superiority of the proposed knowledge base.

• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.123-128
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• 2023

The main purpose of the study is to analyze the features of the influence of Agile management on the competence of the personnel of the socio-economic system in the digital economy. The research methodology implies the use of modern methods of analysis. Improving the business processes of an organization is associated with improving activities, the formation of effective management systems and processes, especially the organization's policy in the field of quality, rational use of resources, increasing the responsibility of management, social responsibility of the organization, etc. The modern knowledge economy places high demands on the effectiveness of behavioral models of employees of the organization. The role of the human factor in the production system is becoming more and more obvious. Therefore, it is important to study the competence of the personnel of any socio-economic system. Based on the results of the study, the key features of the influence of Agile management on the competence of the personnel of the socio-economic system in the digital economy were identified.