• Journal of Contemporary Eastern Asia
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• v.16 no.1
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• pp.22-45
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• 2017

The successful management of software (SW) projects is a continuous concern to managers, which is attributed to the contradictory demands that most projects are facing; meeting user requirements within time and budget limit while flexibly dealing risks during the progress of the projects. The present study asserts project performance and risk mitigation are not tradeoff but to be achieved simultaneously, which is called SW project ambidexterity. Drawing on the literature on organizational behavior, hypotheses are developed speculating the relation among project performance, risk mitigation, team collective improvisation, team behavioral integration, and team diversity. Using empirical data collected from 102 SW project teams of 507 team members in South Korea, empirical analysis indicates team collective improvisation is a significant antecedent to SW project ambidexterity, playing a pivotal role to balance the contradictory demands. Furthermore, team behavioral integration positively influences the degree of team collective improvisation, and the magnitude of the relation is partially contingent on the team members' age and major diversity. The present study advances theory by providing a context specific explanation about the SW project ambidexterity and its precedents.

• Journal of information and communication convergence engineering
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• v.9 no.5
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• pp.597-601
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• 2011

As researches of on scientific technology are considered as a pivotal factor of a national competitiveness, the central and local governments have extended assistance for commercialization-linked technology development (CLTD) and accordingly various outputs are coming out now. However, the valuable findings from painstaking researches are not sufficiently distributed to or shared with other governmental and public organizations, and businesses. As a result, it could be possible for them to become unknown and unused. Therefore, it is being sensed that a measure to coordinately and systematically manage the information and outputs derived from the research projects is urgently needed. Hence, this study designs PIMS to manage CLTD efficiently and transparently.

• Journal of Convergence for Information Technology
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• v.9 no.1
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• pp.12-18
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• 2019

The purpose of this study is to analyze the effects of government's R&D investment outcome on the IT industry. The analysis of R&D investment outcome developed emphasizing qualitative outcome more than quantitative outcome. However, it is still leaning on technological outcome-centered methods, having relatively little interest in inputs that actually determine the outcome. Thus, this study intends to focus on the qualitative attributes of input resources. The results of the empirical analysis can be summarized as follows. In raising technological outcome and commercialization outcome of R&D investment, more funds per researcher and numbers of researchers and a longer development period had positive effects. However, a higher ratio of doctors had positive effects only on technological outcome (papers and patents), It is believed that leading to commercialization outcome needed a long period, but the period of task development was only an average of two years. On the contrary, collaboration had negative effects on technological process, which indicates that collaboration between two organizations having conflicting interests would lead to negative effects on the outcome. The results show that the qualitative attributes of input resources have significant effects on R&D investment outcome, and imply that it is necessary to emphasize the qualitative attributes from the input stage to promote government's R&D investment outcome in the future.

• Journal of Digital Convergence
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• v.14 no.1
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• pp.163-170
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• 2016

The purpose of this study is to determine the effect of R&D learning organization activities of domestic small and medium-sized businesses on economic/technological results. This study, through investigation on preceding studies of domestic and foreign learning organization researchers, examined the definition, characteristics, and deteriorating factors of learning organization, and learned dependent variables, which are the definition of organizational performance, and relationship between learning organization and organizational performance. Then it performed a survey targeting small- and medium-sized businesses in Gumi and grasped the relationship between R&D capability (study planning, vision goal adequacy, project management, commercialization of technologies) and learning organization capability (creation of constant learning opportunities, knowledge sharing and utilizing system, strategic learning leadership) by classifying them to seven independent variables, using regression analysis. Because this study grasped the effect of R&D learning organization activities on organizational performance, it is expected to promote forming R&D learning organization for active R&D activities and contribute to enhancing small and medium-sized businesses' recognition on the need of R&D activities.

• Journal of the Korea Convergence Society
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• v.11 no.4
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• pp.1-9
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• 2020

This study draws implications by surveying and analyzing performance evaluation cases in Korea and overseas, and analyzes qualitative and quantitative performance evaluation indexes and evaluation models that fit the national R & D performance evaluation system through analysis of patent creation performance data or company status data. Also, in order to apply this to a specific group of companies with excellent exports and technical skills, we will conduct a case study on the performance analysis of patent strategy support projects based on the results of the survey. Although this study has some limitations in developing performance evaluation indicators due to the limited scope of business or business characteristics of the patent strategy support project, the qualitative evaluation system can be reviewed through previous studies and domestic and overseas case studies. Due to the problem of accessing and collecting data related to the performance of the support project, there is a limitation that performance analysis cannot be performed at a sufficient level. Nevertheless, after the completion of R&D support projects and patent strategy support projects, follow-up performance analysis can be performed through follow-up surveys. It is expected to be possible.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.4
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• pp.39-52
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• 2023

In this study, project information of government-funded research institute in the food field was collected and analyzed to systematically identify the factors affecting the process of transferring technological achievements of public research institute to the private sector. This study hypothesized that human resources, financial resources, and technological characteristics as input factors of R&D projects affect output factors, such as research papers or patents produced by R&D projects. Moreover, these outputs would serve as drivers of the technology transfer as one of the R&D outcomes. Linear Regression Analysis and Poisson Regression Analysis were conducted to empirically and sequentially investigate the relationship between input factors and output and outcome of R&D projects and the results are as follows: First, the principle investigator's career and participating researcher's size as human resource factors have an influence on both the number of SCI (science citation index) papers and patent registration. Second, the research duration and research expenses for the current year have an influence on the number of SCI papers and patent registrations, which are the main outputs of R&D projects. Third, the technology life cycle affects the number of SCI papers and patent registrations. Lastly, the higher the number of SCI papers and patent registrations, the more it affected the number of technology transfers and the amount of technology transfer contract.

• Convergence Security Journal
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• v.17 no.4
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• pp.31-37
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• 2017

This study compares the main features of the Act of National Contract with the Act of Defense Aquisition Program, which is the only one in Korea for long-term contracts. When applying the progress payments system to the defense R&D project, We can prevent disputes between parties and create a stable development environment through smooth partnerships. Smaller, direct and indirect losses can be alleviated, such as the waste of administrative power required to deal with disputes due to the payment of delayed prizes and restrictions on business activities due to the difficulty of forecasting the results of companies. In large measure, we will be able to procure a high-quality weapon system in a timely manner to support the security of the nation as well as international competitiveness through the growth of our defense industry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.226-232
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• 2020

The Stage-Gate is a market-oriented model that aims to launch new products on the market. Therefore, it can be appropriately introduced and applied to the operation and management of NSSCP, which is undergoing demonstration projects for Daegu and Siheung. In addition, smart cities have the characteristics of convergence and complex among various innovative technologies. When the Stage-Gate is introduced, the performance can be managed centering on the outcomes for each research institution. Therefore, the NSSCP is applying the Stage-Gate for the first time among national R&D projects to improve the quality of the research results and to demonstrate and commercialize them successfully. This paper reviews the operation results of the 1st and 2nd years when the State-Gate was introduced and analyzes the opinions of an R&D management agency, research institutes, and gate reviewers to present the supplementary and improvements for applying to the evaluation process for the next year. When operating the Stage-Gate by optimizing the situation for each project and being wary of inefficiencies caused by the rigid operation, it is expected that flexible evaluation for each outcome will be possible according to the convergence characteristics of smart cities.

• The Journal of Society for e-Business Studies
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• v.25 no.1
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• pp.203-214
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• 2020

It is necessary to classify technical documents such as patents, R&D project reports in order to understand the trends of technology convergence and interdisciplinary joint research, technology development and so on. Text mining techniques have been mainly used to classify these technical documents. However, in the case of classifying technical documents by text mining algorithms, there is a disadvantage that the features representing technical documents must be directly extracted. In this study, we propose a BERT-based document classification model to automatically extract document features from text information of national R&D projects and to classify them. Then, we verify the applicability and performance of the proposed model for classifying documents.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.13-25
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• 2017

The Korean government is pursuing technological development through nearly every government agency, and Korea's growing R&D spending is yielding good results in many fields. With the country moving from the technology development stage to the demonstration stage, it is actively implementing testbed projects to demonstrate developed technologies and services. This is, however, not without problems. There is no consistent systematic system for the testbed projects because government agencies compete against each other in the planning of execution of R&D: they do not work together. The most serious problem is that both testbeds and developed technologies die out due to poor operation management after the completion of test projects. Research should, therefore, be done on operation management and commercialization. However, the government still does not consider the system after the test: it focuses on building testbeds to verify developed technologies. This study intends to determine the basic orientation of operation management to ensure maximum performance, efficiency, and continuity of national projects through intensive analysis of ongoing national R&D testbed projects and examination of success stories of operation management at home and abroad.