• Title/Summary/Keyword: knowledge gap

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Determinants of Growth of Public Technology Based Start-up: Focused on Subsequent Support of Technology Subject (공공기술 기반 창업기업 성장 결정요인: 기술주체의 후속지원을 중심으로)

  • Bong, Kang Ho
    • Knowledge Management Research
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    • v.21 no.2
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    • pp.41-58
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    • 2020
  • A plan to promote public technology-based start-ups as a way to enhance the use of public technology has been emphasized. However, the problem of creating commercial value has persisted due to the lack of reproducibility and readiness of public technology. Although gap exists in the linking process between the public and private sector, it is difficult to find objective empirical evidence as most of them are only qualitative research. Our empirical works examine the impact of subsequent support of the public research institute on the commercialization of public technologies. Then, we analyze how commercialization of public technologies affects the growth of technology-based startups using 2-stage least square (2SLS) model. We find that the linkage with the technology subject contribute to the successful commercialization of public technology, and further to the survival and growth of technology-based start-ups. Our finding suggests that knowledge management system, to facilitate interaction between technology developer and consumers, is needed for the success of public technology-based start-ups.

A Design of On/Off Type Solenoid Actuator for Valve Operation (밸브 구동용 개폐식 솔레노이드 액추에이터의 설계)

  • Sung, B.J.
    • Transactions of The Korea Fluid Power Systems Society
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    • v.6 no.4
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    • pp.24-32
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    • 2009
  • For a design of on/off solenoid actuator for valve actuating, designer must have the experimental knowledge as well as general electromagnetic formulas to design object. It is possible for theoretical knowledge to do the out-line design, but it is impossible to optimal design without experimental knowledge which only can be achieved through many repeated experiments. In addition, in present on/off type solenoid actuator field, the smaller, lightening, lower consumption power, high response time are effected as the most important design factor. So, experimental knowledge is more needed for optimal design of solenoid actuator. In this study, we derived the governing equations for optimal design of on/off solenoid actuator for valve actuating and developed a design program composed electromagnetic theories and experimental parameter values for inexperienced designers. And we proved the propriety of this program by experiments.

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Possibilities and Problems for the Regional Innovation in Japan

  • Matsubara, Hiroshi
    • Journal of the Economic Geographical Society of Korea
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    • v.11 no.3
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    • pp.362-374
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    • 2008
  • Under a knowledge-based economy, regional innovation policies have been treated as important regional policies. In this paper, the author attempts to argue the possibilities and problems for regional innovation in Japan. For this purpose, the author has investigated the development of industry-academy-government collaboration in Ube City which has been designated as one of a number of knowledge cluster projects by the National Government. Ube City is a typical company town and the regional system had been characterized by the vertical relationship between a core company and it's subcontractors. Since the late 19905, the local national university has played an important role to promote cooperation with various types of enterprises, research institutions, and local governments. As such horizontal relationships have become more influential, it is necessary to overcome the gap in interest and knowledge base between the core company and the local university.

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Novice Corpus Users' Gains and Views on Corpus-based Lexical Development: A Case Study of COVID-19-related Expressions

  • Chen, Mei-Hua
    • Asia Pacific Journal of Corpus Research
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    • v.2 no.1
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    • pp.1-11
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    • 2021
  • Recently, corpus assisted vocabulary instruction has been attracting a lot of interest. Most studies have focused on understanding language learners' receptive vocabulary knowledge. Limited attention has been paid to learners' productive competence. To fill this gap, this study attended to learners' productive lexical development in terms of form, meaning and use respectively. This study introduced EFL learners to the corpus-based language pedagogy to learn COVID-19 theme-based vocabulary. To investigate the gains and views of 33 EFL first-year college students, a sentence completion task and a questionnaire were developed. Learners' productive performances in the three lexical knowledge aspects (i.e., form, meaning and use) were particularly targeted. The results revealed that the students achieved significant gains in all aspects regardless of their proficiency level. In particular, the less proficient students achieved greater knowledge retention compared with their highly proficient counterparts. Meanwhile, students showed positive attitudes towards the corpus-based approach to vocabulary learning.

The Role of Employee Engagement on Knowledge Management and Worker Productivity: A Case Study in Sri Lanka

  • KALDEEN, Mubarak;THELIJJAGODA, Samantha;SAMSUDEEN, Sabraz Nawaz
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.4
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    • pp.507-515
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    • 2021
  • Knowledge-Worker Productivity (KWP) has been influenced by Knowledge Management Process (KMP); however, past studies derived inconsistent findings of the relationship between the two variables. Additionally, the effect of KMP on KWP in the context of universities in Sri Lanka has not been adequately studied. Therefore, this present study aims to fill that gap by examining KMP elements' effect, namely knowledge creation, knowledge sharing, and usage on KWP, specifically the timeliness, proficiency, and independence of employees. This study also examines the role of employee engagements (i.e., intellectual, social, and affective) in mediating the effect of KMP on KWP. The questionnaire survey method was utilized to collect data from relevant university employees, i.e., lecturers, senior lecturers, and professors, whereby 264 valid responses were used in the analysis. The associations between KMP, Employee Engagement, and KWP were analyzed using the path analysis and bootstrapping methods. The outcomes demonstrated positive correlations between all three variables. Employee Engagement was shown to have a partial mediating effect on the KMP-KWP association. The general conclusion is that KWP is influenced by its capacity to increase employee engagement via KMP.

Cloudboard: A Cloud-Based Knowledge Sharing and Control System (클라우드보드: 클라우드 기반 지식 공유 및 제어 시스템)

  • Lee, Jaeho;Choi, Byung-Gi;Bae, Jae-Hyeong
    • KIPS Transactions on Software and Data Engineering
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    • v.4 no.3
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    • pp.135-142
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    • 2015
  • As the importance of software to society has grown, more and more schools worldwide teach coding basics in the classroom. Despite the rapid spread of coding instruction in grade schools, experience in the classroom is certainly limited because there is a gap between the curriculum and the existing computing environment such as the mobile and cloud computing. We propose an approach to fill this gap by using a mobile environment and the robot on the cloud-based platform for effective teaching. In this paper, we propose an architecture called Cloudboard that enables knowledge sharing and collaboration among knowledge providers in the cloud-based robot platforms. We also describe five representative architectural patterns that are referenced and analyzed to design the Cloudboard architecture. Our early experimental results show that the Cloudboard can be effective in the development of collective robotic systems.

A Development of a Framework Cost Estimation Model for the Digital Document Database Construction Projects (지식정보 구축 대가의 개발 : 국가직무표준(National Competency Standards)과의 통합 방안을 중심으로)

  • Kim, Sojung Lucia;Seo, Yong Won;Son, Young-ho
    • Journal of Information Technology Services
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    • v.16 no.3
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    • pp.47-65
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    • 2017
  • The reference guide for the cost of establishing the digital documents has been used as a basis for establishing the budget for the construction of the knowledge information resource. However, due to the abolition of the nominal unit price notification in terms of IT projects, it is necessary to conduct research to convert the standard of the current labor force grade standard to the national incompetency standard (NCS). In this study, we investigate and revise the system and contents of the current knowledge information cost estimation model. In specific, i) we conducted gap analysis of cost estimation model and existing NCS model. As the contents conforming for the construction of the knowledge information resource were not adoptable, we define the description of the construction of the knowledge information resource and to identify the core elements of NCS prior to the improvement of the cost model. ⅱ) then we proposed improve the cost model considering integration with newly proposed NCS model for knowledge information construction job. In order to ensure the validity of the application of NCS development and cost estimation model, the experts reviewed relevant contents and made plans for improvement by using experts from supply and demand groups of various fields of national knowledge informatization projects.

Utilizing Machine Learning Algorithms for Recruitment Predictions of IT Graduates in the Saudi Labor Market

  • Munirah Alghamlas;Reham Alabduljabbar
    • International Journal of Computer Science & Network Security
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    • v.24 no.3
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    • pp.113-124
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    • 2024
  • One of the goals of the Saudi Arabia 2030 vision is to ensure full employment of its citizens. Recruitment of graduates depends on the quality of skills that they may have gained during their study. Hence, the quality of education and ensuring that graduates have sufficient knowledge about the in-demand skills of the market are necessary. However, IT graduates are usually not aware of whether they are suitable for recruitment or not. This study builds a prediction model that can be deployed on the web, where users can input variables to generate predictions. Furthermore, it provides data-driven recommendations of the in-demand skills in the Saudi IT labor market to overcome the unemployment problem. Data were collected from two online job portals: LinkedIn and Bayt.com. Three machine learning algorithms, namely, Support Vector Machine, k-Nearest Neighbor, and Naïve Bayes were used to build the model. Furthermore, descriptive and data analysis methods were employed herein to evaluate the existing gap. Results showed that there existed a gap between labor market employers' expectations of Saudi workers and the skills that the workers were equipped with from their educational institutions. Planned collaboration between industry and education providers is required to narrow down this gap.

Study of CMM base Information Technology company level estimation (CMM 기반 정보기술 업체 수준평가에 관한 연구)

  • Kim Tai-Dal
    • Journal of Internet Computing and Services
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    • v.5 no.1
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    • pp.33-39
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    • 2004
  • In this paper, so that government official in target extent of relevant shame capacitates CMM measuring achievement result by each process as quantitative because do standard, repeat and achieves gap analysis and estimation solidify knowledge management of information base enabling "Quality control, production management, cost control, integral management of knowledge", Solidify customer service through "high-quality, differentiation" of information. Establish administration and supervision item to reach 4 steps level in information ability measurement in formation to prove business efficiency through process optimization and improves formation maturity through voluntary effort of formation continuously. Suggested model who analyze and evaluates application in domestic SI specialty company.I specialty company.

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