• 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.

• The Journal of Industrial Distribution & Business
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• v.10 no.2
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• pp.51-64
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• 2019

Purpose - Research on the ability of domestic public institutions to conduct business is being conducted. Research on government support policy for public technology projects, emphasizes technology creation. Public agencies are encouraging evolutionary barriers at the stage of realistic business. This paper presents the policy possibilities by presenting policies and strategies based on corporate public policy. Research design, data, and methodology - In this study, we surveyed the actual state of public technology commercialization based on the data on state of technology commercialization of public institutions. We collected and analyzed the literature data to enhance the competitiveness of technology commercialization by identifying success cases of public technology commercialization. In Korea, there are not many research papers that provide policy alternatives for technical commercialization of public research institutes. Therefore, in this paper, we review various government policies and check the status of technology commercialization to increase its value. Results - As a result of this study, it is suggested that various policy development is necessary for the commercialization of public technology, because it is important to increase the value of technology users, suppliers, investors and customers through various network activation. In particular, it is necessary to establish differentiated Korean public technology commercialization model for the proliferation of public technology commercialization by presenting methodical model of technical commercialization. Conclusions - Through this study, it is important to raise the competitiveness of domestic public technology commercialization, to create economic value, and to improve the performance of technology commercialization. Therefore, it is necessary to contribute to the creation of research achievement, research method of excellent technology, and method of commercializing technology, and to create achievement of technical commercialization in the future. In addition, from the viewpoint of commercialization of technology, strategies for creating value through utilization of public technology should be prepared, and a plan for mutual prosperity among domestic companies should be prepared. Policy alternatives of various public technology commercialization to build national competitiveness have been developed, and various examples of performance for the performance of public technology commercialization should be derived.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.2
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• pp.94-103
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• 2008

This study measured technology transfer efficiency for public institutes. The study made use of DEA being one of the non-parametric linear programming to evaluate technology transfer efficiency for public institutes and to measure technology efficiency, pure technical efficiency and scale efficiency. The measurement of the technology transfer efficiency for public institutes was as follows: The cause of the technology transfer inefficiency was affected by pure technical inefficiency more than by scale inefficiency. Public institutes' RTS(Return To Scale) value varied depending upon the features of the organizations than the features of the regions. Public research institutes' RTS value is more effective than universities' RTS value. We compared the RTS group with the RTS of Projected DMU groups. The RTS group had constant returns to scale effect while the RTS of the Projected DMU had increasing returns to scale effect. The technology transfer efficiency of public institutes varied depending upon the features of the organizations and regions : The technology transfer efficiency of public institutes were as follows : public research institutes at the metropolitan area, public research institutes at the local areas, universities at the metropolitan area and universities at the local areas. In other words, the technology transfer efficiency was affected by organizational characteristics more than by regional characteristics at the place where public institutes were located.

• Knowledge Management Research
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• v.19 no.2
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• pp.1-19
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• 2018

This study aims to identify the causal relationship among public technology transfer, technological performance, and research and development (R&D) productivity. Using the impulse-response function(IRF) of a panel vector autoregressive model (panel VAR), this study suggests the results of how long the factors such as technological performance (patent), public technology transfer, and R&D productivity takes and lasts if a one-unit shock of standard deviation occurs. As a result, first, the increase of public technology transfer activities has no power to increase the technology performance but improve the R&D productivity. If the public institute increases its technology transfer activities by one unit, the R&D productivity will increase within five years. Second, the impact of increasing technological performance on improvement of public technology transfer and R&D productivity is an insignificant. Third, the effect of R&D productivity on the public technology transfer creates a substantial reaction after a current time. Considering the structural relationships among public technology transfer, technological performance, and R&D productivity, if policy makers intend to construct the active R&D circumstance, technology suppliers should be motivated to run the active R&D mechanism because they achieve gains.

• The Journal of Society for e-Business Studies
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• v.4 no.2
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• pp.23-40
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• 1999

Nowadays, major application of public key certification technology based on PKI(Public Key Infrastructure) is electronic commerce. Public key certification technology may include various sub-technologies such as key recovery, secret sharing, certificate/key management, and directory system technology. This thesis discusses PKI-based certification authority technology for electronic commerce on the Internet.

• Nuclear Engineering and Technology
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• v.55 no.6
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• pp.2026-2033
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• 2023

Due to Thailand's nuclear energy public acceptance problem, the understanding of nuclear energy public perception was the key factor affecting to re-consideration of the nuclear energy program. Thailand Institute of Nuclear Technology and its alliances together developed the classification model for the nuclear energy public perception from the big data comments on social media using Facebook using deep transfer learning. The objective was to insight into the Thailand nuclear energy public perception on Facebook social media platform using sentiment analysis. The supervised learning was used to generate up-to-date classification model with more than 80% accuracy to classify the public perception on nuclear power plant news on Facebook from 2009 to 2022. The majority of neutral sentiments (80%) represented the opportunity for Thailand to convince people to receive a better nuclear perception. Negative sentiments (14%) showed support for other alternative energies due to nuclear accident concerns while positive sentiments (6%) expressed support for innovative nuclear technologies.

• Journal of radiological science and technology
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• v.6 no.1
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• pp.69-80
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• 1983

• Journal of Korea Technology Innovation Society
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• v.6 no.2
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• pp.137-158
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• 2003

This paper examines theoretical trends and policy issues concerning science and public. The dominant perspective about it was changed from “popularization of science” to “public understanding of science (PUS)”. PUS pays attention to active roles of public in the understanding of science based on the contextual model. And recently various concepts are attempted to complement PUS such as “heterogeneous PUS”, “quantitative PUS”, “public understanding of research”, and “public participation in science”. PUS related activities in Korea can be analyzed using the concept of “science and technology culture system”. The characteristics of science and technology culture system in Korea can be summarized as follows: Its purpose is confined to support existing national innovation system; Its constituents have been unevenly and separately developed; Its material and institutional infrastructure is not sufficiently prepared; Its organizing mechanism is strongly influenced by government's execution power.

• Journal of Information Technology Services
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• v.22 no.4
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• pp.53-80
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• 2023

Expectations for artificial intelligence technology are increasing, and its utility value is growing, leading to active use in the public sector. The use of artificial intelligence technology in the public sector has a positive impact on aspects such as improving public work efficiency and service quality, enhancing transparency and reliability, and contributing to the development of technology and industries. For these reasons, major countries including Korea are actively developing and using artificial intelligence in the public sector. However, artificial intelligence also presents issues such as bias, inequality, and infringement of individuals' right to self-determination, which are evident even in its utilization in the public sector. Especially the use of artificial intelligence technology in the public sector has significant societal implications, as well as direct implications on limiting and infringing upon the rights of citizens. Therefore, careful consideration is necessary in the introduction and utilization of such technology. This paper comprehensively examines the legal issues that require consideration regarding the introduction of artificial intelligence in the public sector. Methodological discussions that can minimize the risks that may arise from artificial intelligence and maximize the utility of technology were proposed in each process and step of introduction.

• STI Policy Review
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• v.6 no.2
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• pp.87-104
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• 2015

Public procurement for innovation is used as one of the major policy tools to stimulate innovation and promote growth of small and medium-sized enterprises (SMEs) in Korea. However, it is evaluated that this policy has not been so effective in promoting technological innovation among SMEs largely because it heavily depends on price competitiveness of SMEs products and services. In order to draw some policy implications, this study examines the PPI policies of selected countries as comparative references and conducts an empirical analysis on Korean Public Procurement Services (PPS) data for identifying challenges of the current policy in Korea. We conclude that in order to enhance technological innovations of SMEs, PPI policy in Korea should 1) focus more on the potential competitiveness of SMEs, 2) enlarge public demands especially on R&D services, 3) encourage private sector participation in the public procurement market, 4) improve the assessment criteria for public procurement market registration, and 5) restructure the responsible organizations.