• 제목/요약/키워드: Knowledge based industry

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A Productivity Analysis of Service Sector of the Southeast Region of Korea (한국 동남권 지역의 서비스산업 생산성 분석)

  • Park, Chang-Suh
    • Journal of the Economic Geographical Society of Korea
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    • v.9 no.2
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    • pp.181-196
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    • 2006
  • This study analyzed the inter-regional productivity performance of Southeast region of Korea, namely, Busan, Daegu, Ulsan, Gyeongbuk, and Gyeongnam for 16 service sectors, which are categorized by two groups, knowledge based service (5 sectors) and non-knowledge based one (11 sectors) for the period of 1997-2004. This study applied the method of Malmquist productivity change index(MPI) to the estimation of spatial productivity. According to the estimation results, firstly, the MPI of service sector has been deteriorated by annually 0.1% on average. However, when we divided the period into 1997-2000 and 2001-2004, the productivity performances of the second period was better than that of the first period, which are the same trend in knowledge based and non-knowledge based service sectors. Secondly, comparing productivity performances by region and sector during the whole period, Daegu has seven sectors which are relatively comparative advantage. and Ulsan and Busan have six and five sectors, respectively, which are relatively comparative advantage.

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Effects of Knowledge-based Service Organization CEO' Transformational Leader ship and Learning Organization Building Factors on Innovative Behavior in the Age of Convergence (융복합시대에 지식서비스기업 최고경영자의 변혁적 리더십과 학습조직 구축요인이 혁신행동에 미치는 영향)

  • Ryu, Jin-Hyuk;Kim, Sun-Bae
    • Journal of Digital Convergence
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    • v.13 no.4
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    • pp.147-161
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    • 2015
  • The purpose of study was to test the effects of CEO' transformational leadership and learning organization on innovative behavior in the Knowledge-based Service Organization showing the characteristics of convergence service and the moderating role of learning organization between transformational leadership and innovative behavior. For this study, the data were collected from 348 Knowledge-based Service industrial employees in metropolitan area by using structured questionnaires. Collected data were analyzed by hierarchical regression technique. The results showed that both of CEO' transformational leadership and seven learning organization building factors had a positive effect on employees' innovative behavior. And also found out the only four out of the seven learning organization building factors, namely 'Create continuous learning opportunities', 'Promote inquiry and dialogue', 'Encourage collaboration and team learning', 'Provide strategic leadership for learning' had the moderate roles between CEO's transformational leadership and employees' innovative behavior. The theoretical and practical implications of the findings were discussed and the directions for future research were presented.

A Study on the Estimation of Character Value in Media Works: Based on Network Centralities and Web-Search Data (미디어 작품 캐릭터 가치 측정 연구: 네트워크 중심성 척도와 검색 데이터를 활용하여)

  • Cho, Seonghyun;Lee, Minhyung;Choi, HanByeol Stella;Lee, Heeseok
    • Knowledge Management Research
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    • v.22 no.4
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    • pp.1-26
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    • 2021
  • Measuring the intangible asset has been vigorously studied for its importance. Especially, the value of character in media industry is difficult to quantitatively evaluate in spite of the industry's rapid growth. Recently, the Social Network Analysis (i.e., SNA) has been actively applied to understand human usage patterns in a media field. By using SNA methodology, this study attempts to investigate how the character network characteristics of media works are linked to human search behaviors. Our analysis reveals the positive correlation and causality between character network centralities and character search data. This result implies that the character network can be used as a clue for the valuation of character assets.

A Study on Korean Inbound Tourism Market Efficiency Strategy Using Portfolio Theory (포트폴리오 이론을 적용한 한국 인바운드 관광 효율화 전략 연구)

  • Son, Sae Hyeong;Park, Jae Eun;Kim, Eunmi;Koo, Chulmo;Han, Ingoo
    • Knowledge Management Research
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    • v.21 no.4
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    • pp.265-285
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    • 2020
  • The inbound tourism market is recognized as a vital sector of the tourism industry today, but it is highly volatile due to each country's economic, social, and cultural variables. The causes of volatility vary according to the inbound country, and we intend to revitalize the stabilized tourism industry by minimizing risks. In this study, the portfolio theory was applied to derive the optimal combination for each country to achieve the minimum risk level's maximum growth rate. The number of inbound travelers and the average expenditure per person was simultaneously applied. As a result of the analysis, the best mix by country based on the number of inbound travelers was the UK, the United States, Germany, China, and Japan. Based on average spending, each country's best combinations were Thailand, Middle East, Singapore, Japan, Russia, Hong Kong, and Germany. It is expected to be able to establish a plan to operate the Korean inbound tourism market strategically.

Cat Monitoring and Disease Diagnosis System based on Deep Learning (딥러닝 기반의 반려묘 모니터링 및 질병 진단 시스템)

  • Choi, Yoona;Chae, Heechan;Lee, Jonguk;Park, Daihee;Chung, Yongwha
    • Journal of Korea Multimedia Society
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    • v.24 no.2
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    • pp.233-244
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    • 2021
  • Recently, several ICT-based cat studies have produced some successful results, according to academic and industry sources. However, research on the level of simply identifying the cat's condition, such as the behavior and sound classification of cats based on images and sound signals, has yet to be found. In this paper, based on the veterinary scientific knowledge of cats, a practical and academic cat monitoring and disease diagnosis system is proposed to monitor the health status of the cat 24 hours a day by automatically categorizing and analyzing the behavior of the cat with location information using LSTM with a beacon sensor and a raspberry pie that can be built at low cost. Validity of the proposed system is verified through experimentation with cats in actual custody (the accuracy of the cat behavior classification and location identification was 96.3% and 92.7% on average, respectively). Furthermore, a rule-based disease analysis system based on the veterinary knowledge was designed and implemented so that owners can check whether or not the cats have diseases at home (or can be used as an auxiliary tool for diagnosis by a pet veterinarian).

The Effect of External Knowledge Search on Innovation Speed: Focusing on the Moderation Effect of Export Performance (외부지식탐색이 혁신속도에 미치는 영향: 수출성과의 조절효과를 중심으로)

  • Roh, Taewoo
    • Journal of Digital Convergence
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    • v.16 no.2
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    • pp.93-102
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    • 2018
  • This study suggests external knowledge search as a way of creating knowledge and efforts for reaching out to the innovation and examines the relationship between innovation speed and the breadth and depth of external knowledge search. As a part of efforts to overcome the limitations of the routines of external knowledge search in the domestic market, the efforts of a firm to enter the foreign market have been examined with a moderate effect. Although previous research focused on exploration of external knowledge that is mostly effected in single country or similar industry, this study expands it by introducing the concept of market expansion and empirically inspect the interaction effect. 818 valid samples used in this study are based on the innovation survey published by STEPI and empirical results are as follows. First, the breadth and depth of external knowledge search have a positive impact on innovation speed. Second, export performance as the effect of expanding the market has a moderating effect on the speed of innovation. Third, younger companies prefer various networks while older companies prefer depth networks in order to increase the speed.

TREATING UNCERTAINTIES IN A NUCLEAR SEISMIC PROBABILISTIC RISK ASSESSMENT BY MEANS OF THE DEMPSTER-SHAFER THEORY OF EVIDENCE

  • Lo, Chung-Kung;Pedroni, N.;Zio, E.
    • Nuclear Engineering and Technology
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    • v.46 no.1
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    • pp.11-26
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    • 2014
  • The analyses carried out within the Seismic Probabilistic Risk Assessments (SPRAs) of Nuclear Power Plants (NPPs) are affected by significant aleatory and epistemic uncertainties. These uncertainties have to be represented and quantified coherently with the data, information and knowledge available, to provide reasonable assurance that related decisions can be taken robustly and with confidence. The amount of data, information and knowledge available for seismic risk assessment is typically limited, so that the analysis must strongly rely on expert judgments. In this paper, a Dempster-Shafer Theory (DST) framework for handling uncertainties in NPP SPRAs is proposed and applied to an example case study. The main contributions of this paper are two: (i) applying the complete DST framework to SPRA models, showing how to build the Dempster-Shafer structures of the uncertainty parameters based on industry generic data, and (ii) embedding Bayesian updating based on plant specific data into the framework. The results of the application to a case study show that the approach is feasible and effective in (i) describing and jointly propagating aleatory and epistemic uncertainties in SPRA models and (ii) providing 'conservative' bounds on the safety quantities of interest (i.e. Core Damage Frequency, CDF) that reflect the (limited) state of knowledge of the experts about the system of interest.

PMI Using Knowledge Management Viewed from Merger of Hanil Bank and Commercial Bank of Korea (지식경영을 활용한 기업인수 후 합병후 통합(PMI) : 한일은행과 상업은행의 합병 사례를 중심으로)

  • Jekarl, Jeong-Oung;Choi, Dosoung
    • Knowledge Management Research
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    • v.9 no.1
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    • pp.97-116
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    • 2008
  • The purpose of this study lies in examining how knowledge management was applied to PMI(Post Merger Integration) in bank merger. Individuals and organizations in Korea have experienced a lot of changes since the 1997 foreign exchange crisis. In such a situation, individuals came to think the only thing to rely on was personal knowledge. Since organizations had to lay off workers in order of their birth year, not based on whether or not individuals had the knowledge necessary for the organizations, they needed to have such a system that could use their explicit knowledge and even outside knowledge or customers' knowledge as IT developed by changing individuals' tacit knowledge into explicit knowledge as needed in order to continue to maintain their competitiveness and for their own development. Thus, each firm started to pitch for the introduction of knowledge management. Individuals started to store their own experience and knowledge in their homepages or blogs. It was Woori Bank, the merged bank of Hanil Bank and Commercial Bank of Korea, that introduced the knowledge management system and Shared Service Center, in which knowledge creation is available, for the first time in the banking business. Its previous name was Hanbit Bank. Hanbit Bank wanted to construct an advanced bank system, bringing in their chief information officer(CIO) from a foreign bank and introducing an IT software used in Spanish banks to adjust all banking processes to it. However, they could not help giving up the plan in the middle of the road since there was a great difference between Spain and Korea in the financial system and more than 30% of software package had to be changed. In this situation, PMI was delayed, and customer inconvenience continued, which made the integration of organizational cultures slow down. As a breakthrough in this situation, knowledge management was introduced. To integrate knowledge of two organizations in the process of PMI is an important job for all merger candidates. This study aims at presenting the successful results from using knowledge management as a means to PMI ahead of other financial institutions so they can apply them to their organizations. PMI was not achieved properly after the two banks had been merged as Hanbit, but entering the era of Woori Bank, workers were integrated under one standard organization following the organizational and knowledge integration, and knowledge management was introduced for an efficient sharing of knowledge among members. A great number of mergers have occurred up to now, but Woori Bank is the first case that used knowledge management as a means to both PMI and competitiveness enhancement. Probably it was an appropriate time when Woori Bank introduced knowledge management as it was organized. Since Hanil Bank and Commercial Bank of Korea had not introduced knowledge management until then, it could use knowledge management as a means to PMI. Using knowledge management, it could create a new organizational culture and increase competitiveness in the banking industry.

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A Study on the Appropriateness of Community Rehabilitation Job Knowledge and Education for Community Care : Focusing on the Job as an Occupational Therapist (커뮤니티케어를 위한 지역사회 재활 직무 지식과 교육의 적절성 조사연구 : 작업치료사 직무 중심으로)

  • Bae, Seong-Hwan;Jo, Seok-Min;Baek, Ji-Young
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.8
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    • pp.379-388
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    • 2021
  • This study was conducted to find out the appropriateness of knowledge and education of occupational therapists' community rehabilitation jobs for community care. A questionnaire was developed to find out the job knowledge level of occupational therapists working in the community and the appropriateness of school education and maintenance education, and the validity and reliability were verified through a preliminary survey. Based on the verified questionnaire, a survey was conducted on occupational therapists working in the community. As a result, overall, the average score was low in the level of knowledge about the job of occupational therapists engaged in the community and the appropriateness of school education and maintenance education. Through this study, we were able to know the necessary knowledge in the practice of community occupational therapy, understand the level of knowledge retention of occupational therapists working in the community, and learn about the appropriateness of school education and maintenance education. Referring to the results of this study, if a systematic education program related to community occupational therapy jobs is developed in existing medical institution-centered education, the job knowledge level of occupational therapists in the community can be raised. Amid the rapidly changing times and the pandemic of infectious diseases, additional research is needed on job-related knowledge and education corresponding to various occupations in charge of rehabilitation in the community.

Firm's Economic Efficiency and Critical Weather Information in Distribution Industry by Climate Change (기후변화에 따른 유통산업의 핵심 기상요인과 기업의 경제적 효율성)

  • Lee, Joong-Woo;Ko, Kwang-Kun;Jeon, Jin-Hwan
    • Journal of Environmental Science International
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    • v.19 no.6
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    • pp.787-797
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    • 2010
  • Nowadays meteorological information is systemized as a useful knowledge which has a significant effect on the overall industrial domains over the simple data. The distribution industry, which has the short life cycle, depends on the meteorological information at the strategic level. However, it is necessary to pay attention to the continuous investment in meteorological information because there is a hostility to paying for a service, particularly it does not provide accurate and reliable information. Therefore, the purpose of this study is to increase the usefulness of meteorological information in the distribution industry for its economic effectiveness from the core meteorological factors. We found significant meteorological factors (temperature, precipitation, disaster) that have a critical influence on the distribution industry through the hierarchical analysis process, and their importance according to the type of distribution channels, such as department store, large-scale discount store, convenience store, and home shopping. We performed the AHP analysis with 103 survey samples by middle managers from the various distribution channels. We found that precipitation is the critical meteorological factor across the distribution industry. Based on this result, we stress the difference in the level of the meteorological information in order for the effectiveness of each type of distribution channels.