• 한국산업정보학회논문지
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• 제15권3호
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• pp.77-92
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• 2010

본 연구의 목적은 정보기술 루틴이 기업 성과에 미치는 메커니즘을 검토하는 것이다. 이를 위해 본 연구는 기업성과, 비즈니스 프로세스 성과, 정보기술 인프라스트럭쳐 유연성, 정보기술 인력의 지식, 정보기술 루틴 등으로 구성되는 연구 모델을 제안한다. 연구 모델에서 정보기술 루틴은 다른 정보기술 능력들 (정보기술 인프라스트럭쳐 유연성, 정보기술 인력의 지식)에 일차적으로 영향을 미치고, 이어서 비즈니스 프로세스 성과에 영향을 통해 궁극적으로 기업성과에 간접적으로 영향을 미친다. 연구 모델은 243개의 기업 수준 데이터에 기반하여 검토되었는데, 분석도구로는 PLS를 사용하였다. 연구 결과, 연구 모델에서 제안된 모든 경로가 통계적으로 의미 있는 것으로 나타났다.

• Asia pacific journal of information systems
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• 제19권1호
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• pp.63-82
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• 2009

Virtual community is a social aggregation to attain some goals in an IT-supported virtual space (Lee et al., 2002). As lots of virtual communities generate robust and reliable outputs with low control and low incentive, previous researchers was interested in the questions, "why do they participate?" or "how are they controlled?". But. as Katz (1964) said, the most important part of the high-performing organization is the behaviors of members in the organization. Therefore, this research is to examine the relationship between the performance and the behaviors of participants in the virtual community. First, we propose 6 types of behaviors related to high performance in the virtual community: 'Continuous Attendance', 'Complying with the organizational value, policies, and regulations', 'Protection', 'Suggestion for the improving', 'Self-training', and 'Favorable behavior'. The six types of behaviors are extracted from the framework of Katz (1964) and Brief and Motowidlo (1986). The reason why each behavior is positively related with high-performance is that those who continuously attend have more responsibility than temporary participants do; complying with the rules of a virtual community means that they may make more reliable outcome; 'Protection' is one of the prosocial-behaviors and those who protect the community may concern the benefit of the virtual community when they participate: those who suggest some ideas for improvement may contribute to the virtual community; 'Self-training' behavior means that participants really want to have high quality in their contribution: those who have 'Favorable attitude' consider other members in the virtual community when they participate. Then, we perform an empirical analysis with the survey from participants in the Knowledge service of Naver.com, to show those behaviors are associated with the high-performance. To make the measurement for the six behaviors, we use CVR (content validity ratio) method (Lawshe, 1975), interviewing 12 experts. The dependent variable, performance of participation, is measured by 'ratio of selected answer' given by the Naver.com. We use email survey. We sent 1200 emails to randomly selected participants in the knowledge service and received 282 responses. The results of our empirical analysis show that 4('Continuous Attendance', 'Suggestion for the improving', 'Self-training', 'Favorable attitude') are positively related to the performance, but 2('Complying with the organizational value, policies, and regulations' and 'Protection') are not significant. In line with Fitzgerald (2006), we expect that participants in the virtual community may behave similarly to employees in the off-line firms for the high performance. But 2 behaviors have different results. The reason that the 'Complying with the organizational value' behavior is not sufficiently related to performance is that the motivation of participants is more related to intrinsic pleasure or altruism than external reward. Also, the 'Protection' behavior has no significant relationship with performance, which means that the high-performing participants have little concern about the problems in the community.

• Asia pacific journal of information systems
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• 제31권3호
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• pp.358-377
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• 2021

Knowledge drives business innovation. However, even if companies have the same knowledge element in the business ecosystem, innovation performance varies depending on the structural position of the technical knowledge network. This study investigated whether there is a difference in exploitative innovation according to the structural position of the AI technical knowledge network. We collected patents from the top 100 digital companies registered with the US Patent Office from 2015 to 2019 and classified the companies into knowledge producer-based brokers, knowledge absorber-based brokers, knowledge absorbers, and knowledge producers from the perspective of knowledge creation and flow. The analysis results are as follows. First, a few of the top 100 digital companies disseminate, absorb, and mediate knowledge, while the majority do not. Second, exploitative innovation is the largest, in the order of knowledge producer, knowledge absorber-based broker, knowledge absorber, and knowledge producer-based broker. Finally, patents for industrial intelligence occupy a large proportion, and knowledge producers are leading exploitative innovation. Therefore, latecomers need to expand their resources and capabilities by citing patents owned by leading companies and converge with existing industries into AI-based industries.

• 지식경영연구
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• 제11권5호
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• pp.1-23
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• 2010

In order to provide a better understanding about the phenomenon of KM assimilation, this study attempts to conceptually develop and empirically compare two different models: (1) the first model, which considers the KM process as the flow of knowledge that plays an intervening role between knowledge stocks (i.e., knowledge worker, technical knowledge infrastructure, external knowledge linkage, knowledge strategy, and internal knowledge climate) and the level of KM assimilation; and (2) the second model is a simple direct effect formulation without any distinction between knowledge stock and flow. These two models were then tested and compared using the responses of 187 Korean organizations that had already implemented enterprise-wide KM systems. The findings indicate that the two models are useful in explaining successful KM assimilation. However, the first causal model with the distinction between knowledge stock and flow assesses the effectiveness of KM more accurately than the second model without the distinction. Interestingly, the KM process was shown to be the most critical factor for the proliferation of KM activities across an organization. The findings of this study are expected to serve not only as early groundwork for researchers hoping to understand KM and its effective assimilation in organizations, but should also provide practitioners with guidelines as to how they can enhance their KM assimilation level so as to improve their organizational performance.

• 한국산학기술학회논문지
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• 제13권7호
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• pp.3085-3093
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• 2012

본 연구는 축구선수들의 심폐소생술에 대한 지식수준, 태도 및 수행능력에 관한 차이를 살펴보고자 함이다. 이를 위해 서울, 경기, 강원도에 소재하고 있는 고등학교 및 대학생 축구선수 234명을 대상으로 2011년 10월 5일부터 10월 19일까지의 설문조사 하였다. 수집된 자료는 Windows용 SPSS/PC 19.0을 사용하여 빈도분석, t-test ANOVA, 상관관계 분석을 실시하였다. 모든 통계 분석은 유의수준은 p<.05로 설정하였다. 결과는 다음과 같다. 축구선수들의 일반적 특성에 따른 기본심폐소생술에 대한 지식수준, 태도 및 수행능력은 성별, 학력, 기본심폐소생술 교육경험유무에 영향을 미치는 것으로 나타났으며, 심폐소생술 관련 특성과 지식수준, 태도 및 수행능력에 차이가 있는 것으로 나타났다. 또한, 축구선수들의 기본심폐소생술에 대한 지식수준, 태도 및 수행능력 간의 상관관계가 있는 것으로 나타났다. 이러한 결과들을 바탕으로 축구선수들의 기본심폐소생술에 대한 경험 및 지식수준을 정확히 파악함으로써 마음 놓고 경기할 수 있는 장을 만들어 보다 더 나은 운동경기를 할 수 있을 것으로 사료된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권8호
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• pp.3068-3085
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• 2021

The economics of big data knowledge, especially cloud computing and statistical data of consumer preferences, has attracted increasing academic and industry practitioners' attention. Firms nowadays require purchasing not only external private patent knowledge from other firms, but also proprietary big data knowledge to support their new product development. Extant research investigates pricing strategies of external private patent knowledge and proprietary big data knowledge separately. Yet, a comprehensive investigation of pricing strategies of these two types of knowledge is in pressing need. This research constructs an overarching pricing model of external private patent knowledge and proprietary big data knowledge through the lens of firm profitability as a knowledge transaction recipient. The proposed model can help those firms who purchase external knowledge choose the optimal knowledge structure and pricing strategies of two types of knowledge, and provide theoretical and methodological guidance for knowledge transaction recipient firms to negotiate with knowledge providers.

• 지식경영연구
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• 제10권3호
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• pp.1-16
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• 2009

Recent trends in business are characterized by recognition of the importance of knowledge assets. Especially, this phenomenon is receiving more momentum as our society goes digital rapidly. The concept of Knowledge Management has long been used as an effective way of restructuring the management process of a firm. In literature regarding knowledge management, a number of successful cases were reported, where knowledge-based management activities could dramatically enhance a firm's strategic performance for years. However, there exists very little research investigating the effect of knowledge management on corporate competitiveness. Researchers as well as practitioners need more rigorous results about such issues, especially how much the knowledge management strategic initiatives may have an influence on the firm's competitiveness. In this sense, we need an empirical study adopting statistical approaches due to the existence of abundant knowledge management case studies. To fill this research void, this study proposes a research model testing whether knowledge management activities could improve corporate competitiveness. We collected 321 valid questionnaires from participants in knowledge management activities in the tourism industry and applied a structural equation model. Empirical results showed that knowledge management activities have a positive impact on knowledge management efficiency and finally corporate competitiveness. We hope that this study will shed light on further rigorous studies considering tourism industry as a major strategic activity.

• 디지털융복합연구
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• 제2권1호
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• pp.113-126
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• 2004

In this paper we would like to provide a help to implementing KMS(Knowledge Management System) in public sector. For this purpose, we set up five contingency environmental factors and three process factors of knowledge management. And then investigates affecting factors effect on the performance of KMS in public sector by empirical study, A field survey of public officers in Korea local government was conducted. Complete data for 333 KMS users was analyzed to determine relationship of the research constructs. The system of evaluation and compensation is the most important factor effects on the process of KM and the performance of KMS. These results provide empirical evidence that supports the necessity of rational motivation systems does lead to effective implementation of KMS in public sector.

• 문화기술의 융합
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• 제6권4호
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• pp.339-345
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• 2020

본 연구는 테크놀로지 교수내용 지식 (TPACK) 구성 틀을 기반으로 교사 지식에 대한 예비초등교사의 인식을 분석하기 위한 목적으로 수행되었다. 연구의 목적을 달성하기 위하여 중부지역에 위치한 교육대학교 4학년 재학생인 예비초등교사 81명을 대상으로 설문조사를 실시하고 설문조사 결과를 중요도-실행도 분석 방법을 사용하여 분석하였다. 분석결과 TPACK을 구성하는 7개 영역 지식 모두 중요도에 대한 인식이 실행도 인식에 비해 유의미하게 높은 것으로 나타났다. 중요도-실행도 매트릭스를 분석한 결과 예비초등교사가 특별히 개발해야 할 필요성이 높은 영역 지식으로 테크놀로지와 연계된 지식 영역인 테크놀로지 내용지식 (TCK) 과 테크놀로지 교수지식 (TPK), 그리고 테크놀로지 교수내용 지식 (TPACK) 인 것으로 나타났다. 본 연구의 결과는 초등교원 양성기관에서 운영하고 있는 교육과정이나 교육프로그램에서 테크놀로지의 교육적 활용과 관련된 활동이 보다 많이 다루어야 할 필요성을 말해준다. 본 연구는 특히 교육과정과 교육 프로그램에서 테크놀로지 지식은 단절적으로 운영되기 보다는 교과내용 및 교수방법적 지식과 통합적, 융합적으로 연계가 이루어질 수 있도록 구성되어야 할 필요성을 시사한다.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 1994년도 추계학술발표회 및 정기총회
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• pp.12-12
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• 1994

Simulation output knowledge analysis is one of problem-solving and/or knowledge adquistion process by investgating the system behavior under study through simulation . This paper describes an approach to simulation outputknowldege analysis using fuzzy neural network model. A fuzzy neral network model is designed with fuzzy setsand membership functions for variables of simulation model. The relationship between input parameters and output performances of simulation model is captured as system behavior knowlege in a fuzzy neural networkmodel by training examples form simulation exepreiments. Backpropagation learning algorithms is used to encode the knowledge. The knowledge is utilized to solve problem through simulation such as system performance prodiction and goal-directed analysis. For explicit knowledge acquisition, production rules are extracted from the implicit neural network knowledge. These rules may assit in explaining the simulation results and providing knowledge base for an expert system. This approach thus enablesboth symbolic and numeric reasoning to solve problem througth simulation . We applied this approach to the design problem of broadband communication network.