Procedural characteristics of the 4th Korean technology foresight

foresight ◽  
2014 ◽  
Vol 16 (3) ◽  
pp. 198-209 ◽  
Author(s):  
Moonjung Choi ◽  
Han-Lim Choi ◽  
Heyoung Yang
Keyword(s):  
Technology Policy ◽  
Technology Development ◽  
Science And Technology ◽  
Delphi Survey ◽  
Science And Technology Policy ◽  
Technology Foresight ◽  
Content Type ◽  
Future Technology ◽  
Future Needs ◽  
Future Technologies

Purpose – The aim of this paper is to describe procedural characteristics of the 4th technology foresight (TF) using search engines to discover emerging issues; analytic framework development to discover future needs; future technologies considering future needs as well as technology development; detailed description of future technology; analytical discussions of Delphi survey results; developing spatial-specific scenarios and illustrations; and examining possible adverse effects of future technologies. Korea performs TF every 5 years to establish science and technology policy and strategies. In the 4th TF, future technologies that might be developed by 2035 were discovered and Delphi survey was conducted to examine current development status, anticipated times of technology development and public use, plans to secure these technologies, etc. Design/methodology/approach – This paper divides procedure employed in the 4th TF into three steps and explains seven characteristics related to its procedure. Findings – Improvement of the TF procedure will increase the reliability and applicability of its results. Originality/value – This paper consists of original results which include improved procedure and its implication by researchers who participated in the 4th TF. It will provide a useful example for other nations, hoping to introduce TF to set up national science and technology policy.

The regional-innovation cluster policy for R&D efficiency and the creative economy

2017 ◽  
Vol 8 (2) ◽  
pp. 206-226 ◽  
Author(s):  
Donghun Yoon
Keyword(s):  
Technology Policy ◽  
Science And Technology ◽  
Innovation System ◽  
Science And Technology Policy ◽  
Creative Economy ◽  
System Construction ◽  
Cluster Policy ◽  
Regional Innovation ◽  
Content Type ◽  
Innovation Cluster

Purpose This paper aims to discuss and present the regional-innovation cluster policy for R&D efficiency and the creative economy. In particular, the R&D efficiency and creative economy of Daedeok Innopolis are discussed for the science and technology policy of the R&D regional-innovation cluster. In this research, the region cluster policy change, the creative innovation system construction, the manpower system construction and the support unification for R&D and commercialization are presented as policy proposals for R&D efficiency and the creative economy. Design/methodology/approach In this research, the universities, research institutes and enterprises of Daedeok Innopolis were studied. Thirty people from the universities in the area, 30 from the research institutes and 30 from the enterprises were surveyed through the quota sampling of the non-probability sampling method for this research. These survey respondents were science and technology policy specialists for the R&D, industrialization and entrepreneurial activities of Daedeok Innopolis. The methodological material is a questionnaire. The study’s investigation factors were the government’s role, knowledge creation and the network. Also, F-test, ANOVA and chi-square independence test were utilized for the survey data analysis. Findings Regional-innovation cluster construction is a representative method of realizing regional development and competition enhancement. This research was found through the analysis that the government policy is very useful for innovation ecosystem development. The knowledge capability has been enhanced in connection with knowledge creation. Also, the network has been vitalized. New-dimension industry–university–institute collaboration and a human resource management system are needed for R&D efficiency and the creative economy. Daedeok Innopolis needs consistent support for industrialization and foundation. Social implications Movement of and cooperation among humans, goods, knowledge, technologies, etc., occur in many areas (science, the economy, culture, arts, etc.) because of the compression of time and space through informatization and globalization. This has brought about changes in cross-border, regional and national relations and has stimulated competition in the aforementioned areas. To date, a state-dominated system has been operated to deal with these changes, but it has been shown to be inefficient because it cannot reflect the conditions in the region and does not allow quick reaction. The advantages of the region must be identified and utilized to boost the survival and development of the region. Regional-innovation cluster construction is a representative method of realizing regional development and competition enhancement. Originality/value The innovative feature of the study is proposed the science and technology policy (the region cluster policy change, the creative innovation system construction, the manpower system construction and the support unification for R&D and commercialization) for the R&D regional-innovation cluster through the survey data analysis. In this paper, the R&D efficiency and the creative economy of Daedeok Innopolis are discussed for the science and technology policy of the R&D regional-innovation cluster. The science and technology policy for the R&D regional-innovation cluster development is examined for the first time in this paper. This research is expected to make a significant contribution to the establishment of a development strategy for the regional-innovation cluster, and to the decision-making regarding the science and technology policy.

The exploration of information extraction and analysis about science and technology policy in China

2017 ◽  
Vol 35 (4) ◽  
pp. 709-723 ◽  
Author(s):  
Wen Zeng ◽  
Changqing Yao ◽  
Hui Li
Keyword(s):  
Retrieval System ◽  
Technology Policy ◽  
Science And Technology ◽  
Science And Technology Policy ◽  
Analysis Model ◽  
Content Type ◽  
Chinese Science ◽  
Study Results ◽  
Science And Technology Policies ◽  
Technology Policies

Purpose Science and technology policy plays an important role in promoting the development of economic and social development in China. At present, the research on science and technology policy is mainly focused on the basic theories and some quantitative research. The analyses for contents of massive science and technology policies are relatively less. This paper makes use of semantic technologies to extract and analyze the relatively important information from massive science and technology policies. The purpose of this paper is to facilitate users to quickly and effectively obtain valuable information from the massive science and technology policies. The key methods and study results are presented in the paper. The study results can provide references for further study and application in China. Design/methodology/approach The paper presented the analysis model and method for science and technology policy in China. The terms and sentences are the important information in the science and technology policy. The study adopted the technology of natural language processing to analyze the linguistics characteristics of terms and combined with statistical analyses to extract the terms from Chinese science and technology policy. Then, the authors designed an algorithm, calculated and analyzed the important sentences in Chinese science and technology policies. The experiments were run on the Java test platform. Findings This paper put forward the analysis model and method for science and technology policy in China. The study obtained the following conclusions: term extraction of science and technology policy: the paper analyzed characteristic of terms in Chinese science and technology policy and designed a method of extracting a term that was suitable for the science and technology policy. The calculation of important sentences for science and technology policy: the paper designed an algorithm and calculated the importance of the sentences to obtain valuable information from the massive science and technology policies. Research limitations/implications In our methods, there are some defects to be improved or solved in the future. For example, the precision of algorithm needs to be improved. The significance of this paper is to propose and use the analysis model to process Chinese science and technology policy; we can provide an auxiliary tool to help policy beneficiaries. Enterprises and individuals can be more effective to extraction and mining information from massive science and technology policy and find the target policy. Practical implications To verify the effectiveness of the method, the paper selected the real policies about the new energy vehicles as experimental data; at the same time, the paper added uncorrelated policies. It used the proposed analysis model of science and technology policy to calculate and find out the relatively important sentences. The results of study showed that the proposed method can obtain better performance. It verified the validity of this method. The model and method have been applied to actual retrieval system. Social implications The proposed model and method in the paper have been applied to actual retrieval system for users. Originality/value The paper proposed the new analysis model and method to analyze science and technology policies in China. The presented model and method are a new attempt. According to the experimental results, this exploration and study are valuable. In addition, the idea and method will give a good start for improving information services of massive science and technology policies in China.

Detecting and analysing emerging science and technology issues: the EFMN Issue Analysis

foresight ◽  
2008 ◽  
Vol 10 (6) ◽  
pp. 90-102 ◽  
Author(s):  
Sylvie Rijkers‐Defrasne ◽  
Effie Amanatidou ◽  
Anette Braun ◽  
Agnes Pechmann
Keyword(s):  
Cognitive Science ◽  
Technology Policy ◽  
Science And Technology ◽  
Lessons Learned ◽  
Healthy Ageing ◽  
Science And Technology Policy ◽  
Content Type ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
Issue Analysis

PurposeThe purpose of this paper is to highlight the contribution of the EFMN Issue Analysis to the identification of key emerging science and technology issues of high relevance for European policies, as well as to the development of future European science and technology policy priorities. As such, it describes the experience of the past three EFMN Issue Analyses (2005 to 2007), which focused on “Cognitive Science” (2005), “Healthy Ageing” (2006) and “Emerging Knowledge‐based Economy and Society” (2007).Design/methodology/approachThe annual EFMN Issue Analysis aims at selecting and analysing one key emerging science and technology issue that is relevant for European Union policies. The selection is based on the screening and analysis of recent international foresights along a set of predefined criteria.FindingsThe paper highlights future socio‐economic perspectives and S&T developments coming along with the topics “Cognitive Science”, “Healthy Ageing” and “Emerging Knowledge‐based Economy and Society”, as well as policy recommendations as emerged from the respective expert workshop discussions. The paper also reflects on the methodology used, and experience of, and the lessons learned from the last three Issue Analyses.Practical implicationsThis paper is of interest for foresight practitioners and policy‐makers at European level, as well as at national or regional level in European Member States.Originality/valueThe paper highlights the role of the EFMN Issue Analysis in providing the basis for well‐informed (science and technology) policy‐making.

Evaluation of the Indonesia national strategic policy of science and technology development

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mustangimah Mustangimah ◽  
Prakoso Bhairawa Putera ◽  
Muhammad Zulhamdani ◽  
Setiowiji Handoyo ◽  
Sri Rahayu
Keyword(s):  
Technology Policy ◽  
Science And Technology ◽  
Soft Systems Methodology ◽  
Policy Formulation ◽  
Science And Technology Policy ◽  
Research Model ◽  
Systems Methodology ◽  
Soft Systems ◽  
Policy Documents ◽  
Content Type

Purpose The purpose of this study is to outline the improvement of framing in Indonesia science and technology policy content, policy formulation model, policy strategy implementation and policy performance indicators. Design/methodology/approach This study is conducted by implementing action research model to generate new knowledge as a research interest, through the search for solutions or improvements to problematical situation, applying Soft Systems Methodology. Thus, this research model is regarded as Soft Systems Methodology-based Action Research (SSM-based AR). Findings Policy formulation is not evidence based in which policy documents remain theoretical and are impractical or not detailed in engaging real conditions and strategic issues, yet the targets are measurable despite predictive results. Change and strengthening are required in the national science and technology policy for the next period, on the basis that future research policies are encouraged to address problems and solutions to build a country based on science and technology. Indonesia requires policies involving both effective and efficient national research; therefore, the need for an integrated policy direction conveying science and technology and other related sectors, such as the health sector and food, remains vital. Originality/value Previously, science and technology policy planning in Indonesia was not equipped with data and indicators of success, having no target to achieve within a five-year period. In the coming periods, science and technology policy documents in Indonesia are issued in the form of government regulations/presidential decrees, including indicators of science and technology achievements (quantitatively) for five years.

scholarly journals Public science and technology policy in modern Russia: idea and implementation

2019 ◽  
Vol 1 (1) ◽  
pp. 51-71 ◽  
Author(s):  
Evgeny V. Semenov
Keyword(s):  
Public Administration ◽  
Performance Indicators ◽  
Technology Policy ◽  
Technology Development ◽  
Science And Technology ◽  
Science And Technology Policy ◽  
Negative Consequences ◽  
Public Science ◽  
Technology Governance ◽  
Technological Gap

The paper substantiates the understanding of public science and technology policy as an impact of public administration on the sphere of science and technology in order to implement national and state interests and values. The paper shows the correlation of the concepts of public science and technology policy and public administration in science and technology. Five methods of public science and technology policy analysis are proposed. A significant distortion of the goals and objectives of public science and technology policy in modern Russia in the process of their implementation is shown. Revealed are the negative consequences of using performance indicators in public administration in science and technology as production of performance indicators suppresses production of knowledge, technology development and personnel development. The paper shows the replacement of real activity aimed at solving the problem of overcoming the technological gap in Russia by increasing the document flow due to the growth of instructions and reporting on the production of performance indicators. It is proposed to return qualified personnel to the system of public administration in science and technology, as well as to return to science and technology governance by setting meaningful tasks instead of meaningless indicators.

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