• Asia pacific journal of information systems
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• 제33권2호
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• pp.444-467
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• 2023

Micro, small, and medium-sized enterprises (MSMEs) have been acknowledged to play a key role in promoting innovation and economic development. In Peru, 99.5% of formal firms are MSMEs, thus promoting innovation in these firms could have a significant impact on the Peruvian economy. In spite of Innovate Peru's efforts, Peru is still one of the countries that invests the least in innovation, with MSMEs offering low value added. Innovate Peru has launched programs (technological missions) to improve MSMEs' innovation through technology-transfer-oriented subsidies, which may strengthen companies' absorptive capacity (AC) and thus their capabilities to identify and integrate internal and external knowledge. This study assesses the impact of these programs on MSMEs. Data were collected from 85 MSMEs that participated in Innovate Peru's technological missions between 2014 and 2016. Findings show that all the dimensions of AC have a positive impact on innovation; however, the impact of economic subsidy was found to be non-significant. Theoretical and practical implications are discussed.

• 한국컴퓨터정보학회논문지
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• 제5권3호
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• pp.132-141
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• 2000

본 연구는 지식경영시스템 구축의 대안으로, 그룹의사결정지원시스템(GDSS : Group Decision Support System)의 활용 방안을 제시하였다. GDSS는 구성원들의 사회적 의사소통과 기술적 의사소통 모두를 지원할 수 있는 형태로 설계되고 실행되어야만 지식집약 조직의 달성과 유지에 긍정적인 영향을 미칠 수 있다. 기존 GDSS에 관한 문헌에서 제공되는 세 가지 수준의 GDSS와 지식변환과정 및 집단 구성원의 의사소통 유형과의 관계에 대한 이해를 바탕으로, GDSS에 새롭게 추가되어야 하는 특성 및 활용 가능한 기술을 제시하였으며, 지식관리 기반기술 중 조직에 구축된 KMS에 적용되지 못하고 있던 지식관리 기반기술의 GDSS를 통한 활용 방안도 발견할 수 있었다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2021년도 제64차 하계학술대회논문집 29권2호
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• pp.313-315
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• 2021

Timely and accurate diagnosis of lung diseases using Chest X-ray images has been gained much attention from the computer vision and medical imaging communities. Although previous studies have presented the capability of deep convolutional neural networks by achieving competitive binary classification results, their models were seemingly unreliable to effectively distinguish multiple disease groups using a large number of x-ray images. In this paper, we aim to build an advanced approach, so-called Ensemble Knowledge Distillation (EKD), to significantly boost the classification accuracies, compared to traditional KD methods by distilling knowledge from a cumbersome teacher model into an ensemble of lightweight student models with parallel branches trained with ground truth labels. Therefore, learning features at different branches of the student models could enable the network to learn diverse patterns and improve the qualify of final predictions through an ensemble learning solution. Although we observed that experiments on the well-established ChestX-ray14 dataset showed the classification improvements of traditional KD compared to the base transfer learning approach, the EKD performance would be expected to potentially enhance classification accuracy and model generalization, especially in situations of the imbalanced dataset and the interdependency of 14 weakly annotated thorax diseases.

• Journal of Computing Science and Engineering
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• 제5권3호
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• pp.257-268
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• 2011

Machine learning and data mining have found many applications in biological domains, where we look to build predictive models based on labeled training data. However, in practice, high quality labeled data is scarce, and to label new data incurs high costs. Transfer and multitask learning offer an attractive alternative, by allowing useful knowledge to be extracted and transferred from data in auxiliary domains helps counter the lack of data problem in the target domain. In this article, we survey recent advances in transfer and multitask learning for bioinformatics applications. In particular, we survey several key bioinformatics application areas, including sequence classification, gene expression data analysis, biological network reconstruction and biomedical applications.

• 디지털융복합연구
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• 제17권2호
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• pp.9-18
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• 2019

본 연구에서는 현재 시행 중인 사이버 범죄 예방 교육의 효과성을 확인하기 위해 예방 교육 수강자의 교육 만족도와 학습 전이에 영향을 미치는 요인이 무엇인지 알아보고자 한다. 교육 평가에서 활용되는 CIPP 모형을 바탕으로 상황 평가의 사회 요구 수준과 지식수준, 투입 평가의 주제의 최신성, 과정 평가의 상호작용이 수강자의 교육 만족도와 산출 평가의 학습전이에 영향을 미치는지 확인하기 위해 예방 교육 수강자를 대상으로 설문조사를 실시하였다. 연구 분석 결과, 상황 평가의 지식수준과 투입 평가의 주제의 최신성, 과정 평가의 상호작용이 교육 만족도와 유의미한 관계를 가진다는 것이 확인되었고, 상황 평가의 주제의 최신성과 투입 평가의 상호작용, 교육 만족도가 산출 평가의 학습 전이와 유의미한 관계를 가진다는 것이 확인되었다. 본 연구 결과를 바탕으로 향후 사이버 범죄 예방 교육 프로그램의 운영 계획 수립 시 수강자의 학습 전이를 높일 수 있는 개선 방향이 제시되었다.

• International Journal of Knowledge Content Development & Technology
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• 제13권4호
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• pp.95-117
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• 2023

The Digitalia MUNI ARTS - a local node of the LINDAT/CLARIAH-CZ research infrastructure at the Faculty of Arts of Masaryk University constitutes a repository in the Islandora system. It is used for long-term preservation of research data together with their research environment in the form of digital platforms. We transfer the digital outputs of humanities scholars research to the repository according to a set plan, which is based on best practice recommendations for project management and digital curation. In this paper, we present how the results of interviews with platform developers and infrastructure stakeholders translate into the curation workflow, and a resulting model for migrating digital platforms to the repository. Reflecting on three types of problems we encountered during the implementation of platforms into the repository - communication problems, problems of external dependence, and management problems - we describe a modification of the migration process. We present six recommendations for repository administrators and curators in an academic setting - holding an introductory meeting with developers, researching significant and relevant theories of knowledge domain, consulting license experts, prioritizing requirements, and preparing handover protocol and progress reports.

• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 1998년도 제2회 박판성형심포지엄 논문집 박판성형기술의 현재와 미래
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• pp.57-64
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• 1998

The purpose of this research is to develop a CAD/CAM system for generation all kind of information such as, total drawing, sub assembly drawing, part drawing, detail drawing, part list, and NC data for machining by CNC lathe, Wire CUT, machining center. Through this study the CAD/CAM System for deep drawing transfer die in mechanical press process has been developed. The developed CAD system can generate the drawing of transfer die in mechanical press. Using these results from CAD system, it can generate the NC data to machine die's elements on the CAD system. This system can reduce design man-hours and human errors. In order to construct the system, it is used to automate the design process using knowledge base system. The developed system is based on the knowledge base system which is involved a lot of expert's technology in the practice field. Using AutoLISP language under the AutoCAD system, CTK customer language of SmartCAM is used as the overall CAD/CAM environment. Results of this system will be provide effective aids to the designer and manufacturer in this field.

• Asia pacific journal of information systems
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• 제18권4호
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• pp.57-81
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• 2008

Knowledge is an essential strategic weapon for sustaining competitive advantage and is the key determinant for organizational growth. When knowledge is shared and disseminated throughout the organization, it increases an organization's value by providing the ability to respond to new and unusual situations. The growing importance of knowledge as a critical resource has forced executives to pay attention to their organizational knowledge. Organizations are increasingly undertaking knowledge management initiatives and making significant investments. Knowledge sourcing is considered as the first important step in effective knowledge management. Most firms continue to make an effort to realize the benefits of knowledge management by using various knowledge sources effectively. Appropriate knowledge sourcing strategies enable organizations to create, acquire, and access knowledge in a timely manner by reducing search and transfer costs, which result in better firm performance. In response, the knowledge management literature has devoted substantial attention to the analysis of knowledge sourcing strategies. Many studies have categorized knowledge sourcing strategies into intemal- and external-oriented. Internal-oriented sourcing strategy attempts to increase firm performance by integrating knowledge within the boundary of the firm. On the contrary, external-oriented strategy attempts to bring knowledge in from outside sources via either acquisition or imitation, and then to transfer that knowledge across to the organization. However, the extant literature on knowledge sourcing strategies focuses primarily on large organizations. Although many studies have clearly highlighted major differences between large and small firms and the need to adopt different strategies for different firm sizes, scant attention has been given to analyzing how knowledge sourcing strategies affect firm performance in small firms and what are the differences between small and large firms in the patterns of knowledge sourcing strategies adoption. This study attempts to advance the current literature by examining the impact of knowledge sourcing strategies on small firm performance from a holistic perspective. By drawing on knowledge based theory from organization science and complementarity theory from the economics literature, this paper is motivated by the following questions: (1) what are the adoption patterns of different knowledge sourcing strategies in small firms (i,e., what sourcing strategies should be adopted and which sourcing strategies work well together in small firms)?; and (2) what are the performance implications of these adoption patterns? In order to answer the questions, this study developed three hypotheses. First hypothesis based on knowledge based theory is that internal-oriented knowledge sourcing is positively associated with small firm performance. Second hypothesis developed on the basis of knowledge based theory is that external-oriented knowledge sourcing is positively associated with small firm performance. The third one based on complementarity theory is that pursuing both internal- and external-oriented knowledge sourcing simultaneously is negatively or less positively associated with small firm performance. As a sampling frame, 700 firms were identified from the Annual Corporation Report in Korea. Survey questionnaires were mailed to owners or executives who were most erudite about the firm s knowledge sourcing strategies and performance. A total of 188 companies replied, yielding a response rate of 26.8%. Due to incomplete data, 12 responses were eliminated, leaving 176 responses for the final analysis. Since all independent variables were measured using continuous variables, supermodularity function was used to test the hypotheses based on the cross partial derivative of payoff function. The results indicated no significant impact of internal-oriented sourcing strategies while positive impact of external-oriented sourcing strategy on small firm performance. This intriguing result could be explained on the basis of various resource and capital constraints of small firms. Small firms typically have restricted financial and human resources. They do not have enough assets to always develop knowledge internally. Another possible explanation is competency traps or core rigidities. Building up a knowledge base based on internal knowledge creates core competences, but at the same time, excessive internal focused knowledge exploration leads to behaviors blind to other knowledge. Interestingly, this study found that Internal- and external-oriented knowledge sourcing strategies had a substitutive relationship, which was inconsistent with previous studies that suggested complementary relationship between them. This result might be explained using organizational identification theory. Internal organizational members may perceive external knowledge as a threat, and tend to ignore knowledge from external sources because they prefer to maintain their own knowledge, legitimacy, and homogeneous attitudes. Therefore, integrating knowledge from internal and external sources might not be effective, resulting in failure of improvements of firm performance. Another possible explanation is small firms resource and capital constraints and lack of management expertise and absorptive capacity. Although the integration of different knowledge sources is critical, high levels of knowledge sourcing in many areas are quite expensive and so are often unrealistic for small enterprises. This study provides several implications for research as well as practice. First this study extends the existing knowledge by examining the substitutability (and complementarity) of knowledge sourcing strategies. Most prior studies have tended to investigate the independent effects of these strategies on performance without considering their combined impacts. Furthermore, this study tests complementarity based on the productivity approach that has been considered as a definitive test method for complementarity. Second, this study sheds new light on knowledge management research by identifying the relationship between knowledge sourcing strategies and small firm performance. Most current literature has insisted complementary relationship between knowledge sourcing strategies on the basis of data from large firms. Contrary to the conventional wisdom, this study identifies substitutive relationship between knowledge sourcing strategies using data from small firms. Third, implications for practice highlight that managers of small firms should focus on knowledge sourcing from external-oriented strategies. Moreover, adoption of both sourcing strategies simultaneousiy impedes small firm performance.

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.505-509
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• 2020

Twitter is a useful medium to grasp various damage situations that have occurred in society. However, it is a laborious task to spot damage-related topics according to time in the environment where information is constantly produced. This paper proposes a methodology of constructing a knowledge structure by combining the BERT-based classifier and the community detection techniques to discover the topics underlain in the damage information. The methodology consists of two steps. In the first step, the tweets are classified into the classes that are related to human damage, infrastructure damage, and industrial activity damage by a BERT-based transfer learning approach. In the second step, networks of the words that appear in the damage-related tweets are constructed based on the co-occurrence matrix. The derived networks are partitioned by maximizing the modularity to reveal the hidden topics. Five keywords with high values of degree centrality are selected to interpret the topics. The proposed methodology is validated with the Hurricane Harvey test data.

• 무역상무연구
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• 제76권
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• pp.1-20
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• 2017

The industrial technology (including trade secrets), which is commonly understood as systematic and applied technical knowledge, can be transferred to third parties by contracting for the transfer of technology or by granting of a licence. The activity of industrial espionage, due to the gradual increase of the economic interests of intellectual property, is displaying intensively in order to gain advanced technology information. With our outstanding high technology, but compared to the level of the advanced countries, the technical protection systems, the legal protection measures and the systematic management thereof may still be insufficient. Our industrial technology outflow abroad, due to the vulnerability to the security control system in our country, has been increasing since the 2000. Computer software and SNS, such as smart devices, appear as a rapid change in the technical information environment. In order to minimize the dead zone of a new industrial security, the country's organic activity is being conducted. In 2006, Industrial Technology Outflow Prevention and Protection Law was enacted, which emphasized the responsibilities of the country. In this paper for the economic entity's efforts to prevent technology leakage oversea, I have looked to how the industrial technology can be protected in terms of national security and economic benefits of our enterprises. To solve the above-mentioned problems hereof, Korean government should willingly establish a reliable legal system for supporting to enterprise's operations, and Korean companies should autonomously introduce a synthetic technology protection system and incorporate the confidentiality clauses in an international transfer of technology agreement with third parties.