• The Korean Journal of Franchise Management
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• v.12 no.4
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• pp.1-11
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• 2021

Purpose: The franchise system started by Singer Sewing Machine in the US is acting as a national economic growth engine in terms of job creation and economic growth. In China, the franchise system was introduced in the mid-1980s. And since joining the WTO, it has grown by 5-6% every year. However, compared to the growth rate of franchises, studies on shared growth between the chain headquarters and franchisees were insufficient. Accordingly, recent studies related to shared growth between the chain headquarters and franchisees have been active in China. The purpose of this study is to examine the knowledge transfer system between the knowledge creation, knowledge sharing, and the use of knowledge by franchise chain headquarters in China. In addition, the relationship between franchise satisfaction and performance is identified. Research design, data, and methodology: The data were collected from franchise stores in Sichuan, China, and were conducted with the help of ○○ Incubation, a Sichuan Province-certified incubator. From November 2020 to January 2021, 350 copies of the questionnaire were distributed in China, and 264 copies were returned. Of these, 44 copies with insincere answers and response errors were excluded, and 222 copies were used for analysis. The data were analyzed with SPSS 22.0 and AMOS 22.0 statistical packages. Result: The results of this study are as follows. First, knowledge creation has been shown to have a statistically significant impact on knowledge sharing and knowledge utilization. In particular, the effectiveness of knowledge creation was higher in knowledge sharing than in knowledge utilization. And we can see that knowledge sharing also has a statistically significant e ffect on knowledge utilization. Second, knowledge sharing was not significant for transaction satisfaction and business performance, and knowledge utilization was significant for transaction satisfaction and business performance. These results can be said to mean less interdependence of the Chinese franchise system. Finally, transaction satisfaction was statistically significant to business performance. The purpose of this study was to examine the importance of knowledge management to secure long-term competitive advantage for Chinese franchises. This study shows that knowledge sharing is important for long-term franchise growth. And we can see that there is a lack of knowledge sharing methods in the case of franchises in China. I n addition, it was found that the growth of Chinese franchises requires systematization of communication, information sharing measures and timing, help from chain headquarters, and mutual responsibility awareness.

• Proceedings of the CALSEC Conference
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• 1998.10a
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• pp.27-43
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• 1998

Recently, most corporations in Korea need to construct new management system for overcoming economic crisis. Firstly, this paper suggests “Value Creation system”. Secondly, this paper suggests CALS as strategic substitute to achieve market efficiency, capital efficiency, personal efficiency, and operation efficiency, which are four critical factors of “Value Creation system”. Korean corporations should build new business model founded on cooperation by completing CALS system and reconstruct competitive management system by using knowledge and know-how accumulated in that process. Because most corporations keep exclusive corporate culture and little experience of cooperative relationship among businesses, strategic approaches are essential for construction of CALS. These are vertical integration, organization of CALS construction teams, concurrent development of product/process, CEO's iron will, Precise vision and strategies, and education/training of participant.

• The Journal of Society for e-Business Studies
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• v.6 no.1
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• pp.101-121
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• 2001

MOCT(Ministry of Construction St Transportation) suggested "A Plan for Implementation of Knowledge-based Economy for the Construction Industry" to add high value to a construction industry. by means of knowledge-based management. However, there is no knowledge management system which considers characteristics of a domestic construction industry. So a useful knowledge vanished the moment a company terminated a construction Uoject. Therefore, it is necessary to develop "An application method of a knowledge management system for the construction industry" which takes a real environment into consideration. This study aims to present the road map of a knowledge management system which helps the bodies of the construction industry(government, research center/university, enterprise, etc) to do a knowledge activity efficiently. To accomplish this objective, we analyzed overall knowledge management activities. In addition we suggested an implementation direction and strategy of a knowledge management system for the construction industry. As results of this study, we presented the road map of a knowledge management system for the construction industry, which is composed of policy forum, study forum, professional forum, research forum and knowledge 8t information DB. We expect that results of this study will be used as a basis for implementing the knowledge portal that brings a construction industry to a high value added industry.

• The Journal of Society for e-Business Studies
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• v.10 no.3
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• pp.21-36
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• 2005

Current web search includes a lot of different results with information that user does not want, because it searches information using keyword mapping. Ontology can describe the correct meaning of web resource and relationships between web resources. And we can extract suitable information that user wants using Ontology Accordingly, we need the ontology to represent knowledge. W3C announced OWL(Web Ontology Language), meaning description technology for such web resource. However, the development of a special tool that can effectively compose and edit OWL is inactive. In this paper, we designed and developed an OWL authoring system that can effectively provide the generation and edit about OWL.

• The Journal of Society for e-Business Studies
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• v.12 no.3
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• pp.251-268
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• 2007

We design and implement an efficient storage technique to improve query processing for a large RDF data set. The proposed techniques can minimize data redundancy compared to the existing techniques by splitting relation information and data information from triple formatted RDF data. Also, we can enhance query processing speed separating and connecting the entire query steps by relation and data based on the proposed storage technique. The proposed technique can be applied to the areas, such as e-Commerce, semantic web, and KMS to store and retrieve a large RDF data set.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.83-94
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• 2016

The objective of this paper is to examine the determinants of technology transfer for Small and Medium Enterprises. Based on IP-MARKET, KIPRIS, and Wintelips, we employ the logistic regression analysis using all data related with technology transfer in markets for intellectual property rights from 2008 through 2012. Our main results are as followings: (i)the more inventors the higher possibility; and (ii)the more claims and forwards the higher possibility of success in technology transfer in Small and Medium Enterprises.

• 대한공업교육학회지
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• v.45 no.2
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• pp.108-130
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• 2020

In order to cope with the rapid changes in science and technology and various societies and complex economies with the advent of the 4th Industrial Revolution, intellectual property education is essential above all. In this study, therefore, intellectual property and the required competences were derived and verified for each field. As for the research method, Delphi technique was used twice for literature review and experts, and the conclusions of the research are as follows. First, the field of intellectual property required in the era of the 4th Industrial Revolution was classified, through literature review and Delphi technique, in eleven sections such as IP-R & D consulting, IP information search analysis, IP entitlement, IP strategic planning, IP transaction, IP finance, IP value evaluation, IP management, global IP management, IP commercialization, and IP disputes, of which validity was verified. Second, It was analyzed that the validity of required competencies derived from each field of intellectual property was reliable. Third, it is generally appropriate to nurture manpower in each field of intellectual property in universities or graduate schools. In addition, it is judged that regular job training of industries such as enterprises and public institutions is necessary regardless of the field.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.1
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• pp.153-164
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• 2012

Recently, as the one way of open Innovation management, Not a company's sole activity, but technology development and infrastructure buildup between companies for the synergistic effect of technological innovation, and technology transfer commercialization is needed. For a successful technology commercialization, it needs many experts like technology transfer agents, A technology transfer agent can be qualified with finishing its registration education course over 40 hours on the basis of the article 14 of law on the Promotion of Technology Transfer and the article 21 of the enforcement. After the 2010 revision of notice, the incorporated company, the Korea Technology Transfer agents has conducted the registration education. Until now, educations were conducted twice in January 2011 and November 2011. Accordingly, this study is necessary to improve the education service's quality and seek remedy through the in-depth evaluation of the present basic education service's quality. The results are as in the following. First, the service quality affect the satisfaction of the education service's quality positively. It is identified that the details of service quality of flexibility, reliability, responsiveness, conviction, and sympathy influence the education service satisfaction positively. Second, the education service satisfaction affects the attitude positively after completing the course. Third, service quality affects the attitude after completing the education course, Also it is identified that the details of service quality of flexibility, reliability, responsiveness, conviction, and sympathy influence the attitude after education completion. It is expected that this research may be used as the basic information for establishing education improvements and be helpful in establishing the technology transfer agents' registration education strategy. Through a continuous research, it is also expected that technology transfer markets are accelerated and qualified technology transfer agents are trained.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.77-97
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• 2010

Market timing is an investment strategy which is used for obtaining excessive return from financial market. In general, detection of market timing means determining when to buy and sell to get excess return from trading. In many market timing systems, trading rules have been used as an engine to generate signals for trade. On the other hand, some researchers proposed the rough set analysis as a proper tool for market timing because it does not generate a signal for trade when the pattern of the market is uncertain by using the control function. The data for the rough set analysis should be discretized of numeric value because the rough set only accepts categorical data for analysis. Discretization searches for proper "cuts" for numeric data that determine intervals. All values that lie within each interval are transformed into same value. In general, there are four methods for data discretization in rough set analysis including equal frequency scaling, expert's knowledge-based discretization, minimum entropy scaling, and na$\ddot{i}$ve and Boolean reasoning-based discretization. Equal frequency scaling fixes a number of intervals and examines the histogram of each variable, then determines cuts so that approximately the same number of samples fall into each of the intervals. Expert's knowledge-based discretization determines cuts according to knowledge of domain experts through literature review or interview with experts. Minimum entropy scaling implements the algorithm based on recursively partitioning the value set of each variable so that a local measure of entropy is optimized. Na$\ddot{i}$ve and Booleanreasoning-based discretization searches categorical values by using Na$\ddot{i}$ve scaling the data, then finds the optimized dicretization thresholds through Boolean reasoning. Although the rough set analysis is promising for market timing, there is little research on the impact of the various data discretization methods on performance from trading using the rough set analysis. In this study, we compare stock market timing models using rough set analysis with various data discretization methods. The research data used in this study are the KOSPI 200 from May 1996 to October 1998. KOSPI 200 is the underlying index of the KOSPI 200 futures which is the first derivative instrument in the Korean stock market. The KOSPI 200 is a market value weighted index which consists of 200 stocks selected by criteria on liquidity and their status in corresponding industry including manufacturing, construction, communication, electricity and gas, distribution and services, and financing. The total number of samples is 660 trading days. In addition, this study uses popular technical indicators as independent variables. The experimental results show that the most profitable method for the training sample is the na$\ddot{i}$ve and Boolean reasoning but the expert's knowledge-based discretization is the most profitable method for the validation sample. In addition, the expert's knowledge-based discretization produced robust performance for both of training and validation sample. We also compared rough set analysis and decision tree. This study experimented C4.5 for the comparison purpose. The results show that rough set analysis with expert's knowledge-based discretization produced more profitable rules than C4.5.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.89-97
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• 2016

Intellectual property rights play a key role in employment creation and income generation plays an important role, especially in the creative economy. Many companies are ultimately increasing efforts to boost the company's financial performance, such as maximizing profits by building a strong brand assets amid committed to brand management in this paradigm. Reasonable evaluation and commercialization of technology transactions, financial assistance, investment decisions, trademark brand value for the reactivation (revitalizing) for the purposes of M & A, litigation, brand strategy will be said to be very important. In spite of the importance, the awareness of the property and the capabilities to assess are hardly sufficient. Thus, this study, targeting companies with valid trademarks for value assessment, conducted case analysis by cost method and income approach; the analysis presented the result from 2.05 million by the cost method to 2.7 million by the income approach applied to a variable discount rate and adjustment contribution. However, now that the implication was drawn from a single company, further studies covering case study and application plan according to scale and type of diverse company groups should be continued.