• Title/Summary/Keyword: 지식경영모델

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Study on Effect of Characteristics of Financial Professionals on Knowledge Sharing, Job Satisfaction, and Firm Innovation (금융업 종사자의 특성이 지식공유, 직무만족, 기업혁신에 미치는 영향 분석 연구)

  • Cho, Hwihyung
    • Journal of Digital Convergence
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    • v.11 no.10
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    • pp.225-240
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    • 2013
  • This study is intended to identify the relationship between antecedents and performance factors that affect the knowledge-sharing of financial professionals. In order to accomplish the objective, antecedents were established as 'disposition to trust', 'subjective norm', and 'knowledge-sharing willingness' in the personal aspect, and 'trust in peers' and 'management support' in the organizational aspect. As performance factors, 'job satisfaction' and 'firm innovation' were established, and a research model was presented. Empirical analysis was done on the research model using collected questionnaires from 185 financial professionals. The research findings are as follows. First, disposition to trust of financial professionals has a positive effect on their knowledge-sharing. Second, trust in peers and management support have a positive effect on their knowledge-sharing. Among the antecedents, trust in peers has the strongest effect on their knowledge-sharing. Third, knowledge-sharing of financial professionals has a positive effect on their job satisfaction and firm innovation.

A Study on the Use of Blog in Business : A TAM Perspective (기업의 블로그 사용에 관한 연구 기술수용모델 연구: 관점에서)

  • Heo, Seong-Guk;Choi, Jae-Hwa
    • 한국경영정보학회:학술대회논문집
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    • 2008.06a
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    • pp.872-891
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    • 2008
  • 사회적 소프트웨어인 블로그(Blog) 사용이 급증함에 따라 기업 내에서 블로그를 활용하는 기업들이 늘어나고 있다. 기업에서 블로그가 외부적으로는 고객 관계, 광고, 판매 촉진 또는 파트너와의 커뮤니케이션이나 협력의 도구로 사용되고, 내부적으로는 협업, 지식 관리, 공동체 개발 등의 도구로 사용되고 있다. 본 연구는 기업들이 내부적으로 블로그를 사용함에 있어 기술적 수용에 미치는 영향에 관하여 조사하였다. 연구 모형은 기술수용모델(Technology Acceptance Model; TAM)을 근간으로 모델을 설정 하였다. 데이터 수집은 설문지 방식으로 기업 블로그를 도입한 국내 주요 기업을 대상으로 실시하였다.

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Knowledge Assets Classification in Construction Industry Through Construction Characteristic and Information (건설업 특징과 생성정보를 통한 건설업 지식자산 분류방안)

  • Lee Tai Sik;Lee Jin Uk
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.333-336
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    • 2001
  • The future industry, intangible assets, like expertise, customer satisfaction, and employee's volition and capability, create more company value than any other components. The company's outcome mostly depends on managing these intangible knowledge assets. Construction industry is trying to adapt knowledge management system to manage their knowledge assets, but Hey do not build up knowledge assets definition and knowledge assets classification as much as other industries do. Most researches related knowledge assets classification are not concentrated on construction industry so it is need to define knowledge assets and establish knowledge assets classification of construction based on construction characteristics and informations. With this research result, construction knowledge assets classification can be the basis of knowledge asscts evaluation and knowledge map for knowledge management system.

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The Effect of Information Quality and System Quality on Knowledge Service Competence: Focusing on Knowledge Service Types (지식서비스의 정보품질과 시스템품질이 지식서비스 역량에 미치는 영향: 지식서비스 유형을 중심으로)

  • Geun-Wan Park;Hyun-Ji Park;Sung-Hoon Mo;Cheol-Hyun Lim;Hee-Seok Choi;Seok-Hyoung Lee;Hye-Jin Lee;Seung-June Hwang;Chang-Hee Han
    • Information Systems Review
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    • v.21 no.4
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    • pp.1-29
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    • 2019
  • The knowledge resources take a role in promoting the sustainable growth of organization. Therefore, it is important for the members of organization to acquire knowledge consistently so that the company can continue to grow. Knowledge service is the field that provides information and infrastructure which enable the members of organization to acquire new knowledge. As we recognized the importance of knowledge services, we analyzed the level of knowledge service management and development through the impact of knowledge quality on user capabilities. First, the matrix of knowledge patterns was presented based on the type of information and the level of customer interaction. According to patterns, the knowledge service was classified into three types of information providing, information analysis, and infrastructure, and then the results of structural model analysis were presented for each type. It found that the impact of knowledge service quality on user competence was different according to the type of service. The results suggested new indicators for measuring the performance of knowledge services, and provided information for reconstructing services based on the user considering the integrated operation of knowledge service and organizational designing knowledge service.

경제환경변화와 정유산업의 발전방향

  • Korea Petroleum Association
    • Korea Petroleum Association Journal
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    • no.3 s.223
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    • pp.29-31
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    • 2001
  • 최근 IT(정보기술)혁명은 기업과 산업부문에 접목되어 e-비즈니스라는 이름으로 디지털 경제시대의 새로운 성장모델로 부상하고 있다. 이러한 정보기술은 산업화시대로 요약되는 자본주의 사회의 최고가치를 자본에서 지식으로 전환시킴으로써 새로운 21세기를 지식사회로 변모시키고 있다. 우리정유산업도 이러한 변화된 경영환경 하에서 새로운 발전전략이 모색되어야 할 시점으로 이 자리에서 정유산업이 나아 가야할 방향과 생존전략을 짚어 보고자 한다.

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A Study of Learning Organization Model of Construction Organization based the CoP(Community of Practice) (Community of Practice(CoP)를 기반으로 하는 건설조직의 학습조직 모델에 관한 연구)

  • Lee Tai Sik;Lee Won Yong
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.479-482
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    • 2001
  • Construction industry included speciality compare with others industry. Systemically approach and enterprise cultural approach is required in order to perform Knowledge Management in construction industry. But, most of construction enterprise immersed in system approach to perform Knowledge Management, in this reason caused failure of Knowledge Management. To resolve the structural contradiction, Learning organization based the Community of Practice(CoP) is studied in this paper.

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The Effect of Team Characteristics of Technology-based Startup Programs on Patent Performance: Focusing on Team Diversity (기술기반 창업 프로그램의 팀 특성이 특허 성과에 미치는 효과 분석: 팀 다양성을 중심으로)

  • Lee, Jai Ho;Sohn, Youngwoo;Han, Jung Wha;Lee, Sang-Myung
    • Knowledge Management Research
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    • v.25 no.1
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    • pp.21-41
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    • 2024
  • The global Industry has been shaped by start-ups that originated with knowledge-based innovative strategies or technologies in the 21st century. Specifically, laboratory start-ups that rely on research papers or patents for new technology development are recognized for their high survival rate and the creation of employment opportunities. Our study concentrated on 'I-Corps', which also introduced in Korea, standing for innovation corps is a laboratory startup program launched in 2011 by the NSF(National Research Foundation) to commercialize R&D results and foster entrepreneurship as part of the policy to build a start-up system at the national innovation level. In this study, we proposed and empirically tested a research model focusing on teams participating in the I-Corps program to determine how startup team diversity, among the team characteristics of laboratory startups, affected patent performance. As a result of the analysis, among the proposed variables, age diversity, educational background diversity, and value diversity had a significant impact on patent performance. The results of this study are expected to further strengthen the theoretical and practical foundations of researchers or practitioners of the I-Corps program, as well as related areas involving technology & laboratory startups, intellectual property and knowledge management fields in the future.

Leveraging LLMs for Corporate Data Analysis: Employee Turnover Prediction with ChatGPT (대형 언어 모델을 활용한 기업데이터 분석: ChatGPT를 활용한 직원 이직 예측)

  • Sungmin Kim;Jee Yong Chung
    • Knowledge Management Research
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    • v.25 no.2
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    • pp.19-47
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    • 2024
  • Organizational ability to analyze and utilize data plays an important role in knowledge management and decision-making. This study aims to investigate the potential application of large language models in corporate data analysis. Focusing on the field of human resources, the research examines the data analysis capabilities of these models. Using the widely studied IBM HR dataset, the study reproduces machine learning-based employee turnover prediction analyses from previous research through ChatGPT and compares its predictive performance. Unlike past research methods that required advanced programming skills, ChatGPT-based machine learning data analysis, conducted through the analyst's natural language requests, offers the advantages of being much easier and faster. Moreover, its prediction accuracy was found to be competitive compared to previous studies. This suggests that large language models could serve as effective and practical alternatives in the field of corporate data analysis, which has traditionally demanded advanced programming capabilities. Furthermore, this approach is expected to contribute to the popularization of data analysis and the spread of data-driven decision-making (DDDM). The prompts used during the data analysis process and the program code generated by ChatGPT are also included in the appendix for verification, providing a foundation for future data analysis research using large language models.

A Study on Dynamic Glide Path of Target Date Fund Reflecting Market Expectations (시장기대를 반영한 타겟 데이트 펀드의 동적 글라이드패스에 관한 연구)

  • Moon, Myung-Deok;Kim, Sun Woong;Choi, Heung Sik
    • Knowledge Management Research
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    • v.22 no.3
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    • pp.17-29
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    • 2021
  • The purpose of this study is to analyze investment performance by applying dynamic methodologies that reflect market expectations rather than traditional static methodologies in applying the glide path of target date fund. In calculating market expectations, the number of distributed shares in the ETF market was used, and the dynamic glide path model portfolio considering market expectations in the analysis period from late 2011 to October 2020 could show better results than the existing static glide path. According to the analysis, increasing the portion of risky assets at a time when the number of shares in the ETF's distribution increases, and in the opposite case, reducing the portion of risky assets is advantageous for profit. The results of this study are expected to provide useful theoretical and practical implications for researchers and asset management workers who are interested in knowledge management from a broad perspective beyond the boundary of pension asset management to the public fund market and ETF market.

A Study on the Effect of Involuntary Participation in Communication Program Satisfaction on Empathy and Organizational Commitment (비자발적으로 참여하는 소통프로그램만족도가 공감능력과 조직몰입에 미치는 영향에 관한 연구)

  • Shin Soo Haeng
    • Knowledge Management Research
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    • v.24 no.4
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    • pp.43-61
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    • 2023
  • Businesses recognize the importance of empathy among members for achieving organizational goals. Accordingly, they have developed and implemented communication programs aimed at enhancing mutual understanding between the MZ generation and the older generation. However, recent communication programs conducted by businesses differ in that they involve compulsory participation driven by the organization. This study sought to empirically examine their effectiveness. Data was collected from 697 participants in communication programs to validate the proposed research model, which was empirically tested through regression analysis. The results of the analysis confirmed the effectiveness of communication programs even in non-voluntary situations and highlighted intergenerational perception differences. The findings of this study emphasize the significant role of communication and empathy within organizations. Consequently, they have impacted the development of communication strategies and culture within organizations, and are expected to provide theoretical and practical insights valuable to researchers and practitioners interested in intergenerational perception differences from a knowledge management perspective.