• Title/Summary/Keyword: 외부지식 탐색

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The effect of external knowledge search on innovation performance: the moderating effect of knowledge protection and environment uncertainty (외부지식탐색이 기업의 혁신 성과에 미치는 영향: 지식 보호와 환경 불확실성의 조절효과를 중심으로)

  • Kang, Shinhyung;Hwang, JungTae;Park, Sangmoon
    • Knowledge Management Research
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    • v.17 no.3
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    • pp.117-136
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    • 2016
  • External knowledge search is critical to expand the firm's knowledge base, increasing the innovation performance. However, prior literature has paid less scholarly attention on the boundary condition of the search activity. In particular, the few literatures on the contingency factors are either conceptual or focus on the firm characteristics such as resources and capability. In this regard, this study argues the negative moderating effect of knowledge protection and environmental uncertainty of a firm on the positive relationship between external knowledge search and innovation performance, because these contingency factors hamper the reciprocity and the mutual trust between the firm and its external partner that provides knowledge needed in the innovation process. The empirical analysis is based on the sample drawn from Korean Innovation Survey, provided by STEPI in Korea. The sample consists of 1,637 respondent firms that experienced product innovation during the survey period. We could find statistically supporting results for the negative moderating effect on the positive relationship between external knowledge search and innovation performance. This study extends the academic debate on the boundary conditions of external knowledge search and provides managerial implications for successful product innovation.

The Study on the Characteristics of Technology Innovation Activities of High Growth Firms (고성장기업의 기술혁신활동 특성에 대한 연구)

  • KIM, HYEON-CHANG
    • Journal of Korea Technology Innovation Society
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    • v.22 no.1
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    • pp.28-49
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    • 2019
  • This paper explores the characteristics of innovation activities in high growth firms that contribute to national and regional economic growth and job creation. The analysis is based on the 2016 KIS data to analyze the difference in innovation activities between high growth firms and general firms. The main results are as follows: First, high growth firms have a higher proportion of R&D personnel than general firms. Second, high growth firms are actively introducing product innovation, process innovation, and organizational innovation as compared to general firms. In the innovation activities related to product innovation and process innovation, there is no statistically significant difference between high growth companies and general companies except for external R&D. Third, High growth firms are more likely to cooperate with other technology partners than general firms. But, there is no statistically significant difference between high growth firms and general firms in the external knowledge search and the diversity of cooperating partners. Fourth, in terms of protecting innovation, high growth firms are more likely to use all kinds of innovation protection method, such as 'utilizing intellectual property rights', 'maintaining confidentiality', 'adopting complex design methods', 'market preemption ahead of competitors', and the most important means is the intellectual property rights. Fifth, government innovation policies that high growth firms chose as important are 'innovation subsidies and loans', 'acquirement, utilization and protection of intellectual property rights' and 'human resource support'.

Exploring Impact of Individual Network Position toward Knowledge Sharing Intention (개인의 네트워크 위치가 지식공유 의도에 미치는 영향에 관한 탐색적 연구)

  • Bae, Soonhan;Baek, SeungIk
    • The Journal of Society for e-Business Studies
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    • v.21 no.3
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    • pp.29-50
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    • 2016
  • We explore the impact of individuals'network position toward knowledge sharing intention. In order to identify network positions, we utilize three centrality measures (degree/closeness/betweenness) of individual network participants. The research findings show that the individual network positions significantly affect knowledge sharing intentions. Since an individual with high degree centrality might be the leader or the hub, one makes considerable effort to maintain the network position by actively participating in intra-team and inter-team knowledge sharing, A participant who can quickly interact with many other participants within a team (high closeness centrality) is more interested in intra-team knowledge sharing than inter-team knowledge sharing. Unlike degree centrality and closeness centrality, the betweenness centrality provides a participant with diverse resources located in multiple sub-groups. Although an individual with high betweenness centrality is not at the center of the networks, one plays a crucial role in disseminating and regulating information. Therefore, the individual is likely to have more positive intention toward inter-team knowledge sharing than intra-team knowledge sharing.

Knowledge Combination and the Usefulness of Inventions: Focusing on the Moderating Effects of Technological Change (지식 조합과 발명 유용성 간의 관계에 대한 연구: 기술 변화의 조절 효과를 중심으로)

  • Mun, Hee Jin;Chung, Yerim
    • Journal of the Korea Convergence Society
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    • v.9 no.10
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    • pp.315-324
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    • 2018
  • The study examines the effects of knowledge combination and of its interaction with technological change on the usefulness of inventions. We argue that inventing with knowledge components of prior art or with those in a variety of technical fields results in useful inventions, which changes after the emergence of dominant design because external actors' perception of which knowledge components are appropriate in current technological environments changes. Based on data from U.S. granted optical disc patents filed from 1992 to 2000, the results show that inventions with more new knowledge components relative to their prior art are less useful but that inventions with more diversified knowledge components are more useful. Also, the empirical findings show that the negative relationship between new knowledge components of inventions and their usefulness strengthens after dominant design emerges.

The Effects of Open Innovation on Innovation Productivity: Focusing on External Knowledge Search (기업의 개방형 혁신이 혁신 생산성에 미치는 영향: 외부 지식 탐색활동을 중심으로)

  • Lee, Jong-Seon;Park, Ji-Hoon;Bae, Zong-Tae
    • Knowledge Management Research
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    • v.17 no.1
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    • pp.49-72
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    • 2016
  • Extant research on firm innovation productivity is limited in measuring the innovation productivity, in which they measured firm innovation productivity by using either inputs or outputs of innovation. The present study complemented the extant research by employing Data Envelopment Analysis (DEA) approach to measure firm innovation productivity. Furthermore, this paper examined the effects of firms' external knowledge search, as one of open innovation practices, on firm innovation productivity, for open innovation activities are regarded as an influencing factor on firm innovation productivity in the previous literatures. Using the data of the Korean Innovation Survey (KIS) of manufacturing industries conducted in 2008, this study developed hypotheses in which we considered not only two dimensions of external knowledge search (breadth and depth) but also two subtypes of external knowledge search (market-driven and science-driven). The results found that searching deeply and market-driven search are positively related to firm innovation productivity, but science-driven search is somewhat negatively related to firm innovation productivity. Furthermore, market-driven search can mitigate the negative effect of science-driven search on innovation productivity.

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Effects of Knowledge Management Activities on Financial Performance: Focusing on the Mediating Effects of Enterprise-level Resilience (기업의 지식경영활동이 재무적 성과에 미치는 영향: 기업 회복역량의 매개효과를 중심으로)

  • Kang, Yeonsil;Cho, Booyun
    • Knowledge Management Research
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    • v.22 no.1
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    • pp.139-154
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    • 2021
  • As environmental impacts on business management rapidly rise, the importance of resilience has been emphasized ever. Resilience can be defined as the capability to quickly return to daily operational levels after external shocks. Thus, we suggest and empirically verify a conceptual model using enterprise-level resilience in knowledge management. Based on previous studies, sub-components of resilience have been distinguished into R4(i.e., Robustness, Redundancy, Resourcefulness, and Rapidity) and the internal and external knowledge management activities of companies have been identified as prior factors. Considering resilience as mediating variables, firms' knowledge management activities are assumed to affect a firms' performance. We collected data with the structured survey which had been developed from the stepwise approach to verify the structural model that leads to knowledge management activities, resilience, and performance. In further research, we request exploratory research on independent variables that can increase the firms' resilience and on dependent variables that would be influenced by the enterprise-level resilience.

An Study on the Role of Organizational Learning in the Technology Planning: An Empirical Study of Technology Planning on National R&D Program (기술기획 과정에 있어 조직학습을 통한 지식창출에 관한 연구: 국가연구개발사업 에너지R&D 과제기획에 대한 실증분석)

  • Kim, Bonggyun
    • Journal of Technology Innovation
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    • v.21 no.1
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    • pp.303-330
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    • 2013
  • Korea has started new value creation which is the post catch-up innovation system from the catch-up innovation. Post catch-up innovation system is becoming the main R&D issue for Korea and is needed for the new concept of R&D management and planning frame. This study posed questionnaires : how to promote the knowledge creation in technology planning and what the role of organizational learning in the technology planning is. This paper suggests the relationship of success factors of knowledge creation in technology planning which is organized and operated by experts with different background. Based on the prior research on organizational learning, communications and collaborative interactions, four hypotheses that factors of knowledge creation in technology planning have positive relationship with organizational learning are extracted. This study adopts Structural Equation Modeling(SEM) to analyze the relationship between organizational learning and successful technology planning. The approach based on organizational learning and interaction will be useful for constructing the planning framework in the era of post catch-up innovation. This paper, therefore, suggests the possibility of new theoretical development and new research agenda.

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The Effect of Organizational Social Network Characteristics on Absorptive Capacity and Innovation Performances (조직의 사회네트워크 특성이 흡수역량과 혁신성과에 미치는 영향)

  • Kang, So-Ra;Moon, Yun-Ji
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.10
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    • pp.3761-3771
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    • 2010
  • This study, based on social capital theory, aims to explore how social network characteristics among organization members affect the absorptive capacity which is the ability to recognize the value of new information, assimilate it, and apply it to commercial ends. This paper also empirically investigates how the absorptive capacity will have an effect on organizational innovation performances toward achieving competitive advantages in the knowledge society. According to the degree of relationship intensity, social network shows two different characteristics: strong tied network and weak tied network. As strong tied network and weak tied network have relatively different network characteristics, this study assumes that each network affects the absorptive capacity with different aspects. Furthermore, we consider the moderation effect of a social network manager's ability in the relationship between social network and absorptive capacity. We surveyed innovative project performers who are engaged in the knowledge based industries. The empirical analysis results show that both strong tied and weak tied network positively affect the absorptive capacity. Successively, the absorptive capacity also has a positive impact on innovation performances.

The influence of entrepreneurial orientation and absorptive capacity on SME's NPD (기업가적 지향성과 흡수역량이 중소기업의 신제품개발에 미치는 영향)

  • Woo, Hyung-Rok;Kwon, Jung-Eon
    • Journal of Technology Innovation
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    • v.21 no.2
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    • pp.57-84
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    • 2013
  • New product development(NPD) is imperative management activity for growth and survival of the firm. In the context of the small and medium-sized enterprises(SMEs), the firm became further dependent upon NPD with the increasing turbulence in environments. This research suggests the role of entrepreneurship orientation(EO) and absorptive capacity(ACAP) that affect the success rate of NPD in SMEs. Although each of them has been highlighted as critical resources in the aspect of the sustainable competitive advantage, the relationship and the effect between EO and ACAP have received scant attention. Based on the sample of 261 Korean SMEs, this study examines the direct/indirect effect of EO and ACAP on NPD performance. While innovativeness of EO has the direct effect on NPD performance, both risk-taking and proactiveness of EO show no significance. While realized ACAP has the positive influence on NPD performance, potential ACAP shows no significant influence. In addition, we found that the impact of innovativeness on NPD performance was being partially mediated by ACAP whereas the relationship between proactiveness and NPD performance being fully mediated by ACAP. These findings would provide generic insights that both exploration and exploitation regarding knowledge and resources in SMEs are necessary in order to increase NPD performance and two activities have to align with EO.

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A Knowledge Graph on Japanese "Comfort Women": Interlinking Fragmented Digital Archival Resources (일본군 '위안부' 지식그래프: 파편화된 디지털 기록의 연결)

  • Park, Haram;Kim, Haklae
    • Journal of Korean Society of Archives and Records Management
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    • v.21 no.3
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    • pp.61-78
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    • 2021
  • Records on Japanese "Comfort Women" have been individually managed by private sectors or institutions, and some are provided as digital archives on the Internet. However, records of digital archives differ in the composition and representation of metadata by individual institutions. Meanwhile, there is a lack of a consistent structure to describe the relationships between and among these records, leading to their fragmentation and disconnectedness. This paper proposes a knowledge model for interlinking the digital archival resources and builds a knowledge graph by integrating the records from distributed digital archives. It derives common elements by analyzing metadata from the diverse digital archives and expresses them in standard vocabularies to semantically describe multiple entities and relationships of the digital archival resources. In particular, the study includes the refinement of collected data to search and thread dispersed records and the enrichment of external data to provide significant contextual information of records. An evaluation of the knowledge graph is performed via a query measuring the (dis)connectivity between the distributed records. As a result, the knowledge graph is capable of interlinking and retrieving fragmented records, providing substantial contextual information on the records with external data enrichment, and searching accurately to match the user's intentions through semantic-based queries.