바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

  • P-ISSN2287-1608
  • E-ISSN2287-1616
  • KCI

Vol.9 No.3

Kim, Hyeon Su ; Yoo, Seong hee ; Min Seol ; Seonghoon Moon ; Kim, Heoung-Yeol pp.240-256 https://doi.org/10.7545/ajip.2020.9.3.240
초록보기
Abstract

The Biotechnology Support Act has provided a legal basis for promoting the biotechnology field as the highest legal authority in the biosciences since its enactment in 1983, and has contributed to enhancing Korea’s biotechnology research and development (R&D) capabilities and to revitalizing bioscience ecosystems by establishing policies for supporting biotechnology, expanding the government research and development, and promoting industrial applications. The revised bill of the Biotechnology Support Act is the law that reflects changes in the technological and social environment and that provides a legal basis for practical support of government policies such as total periodic research support, commercialization empowerment, and creation of an innovative research environment, and it will come into effect in November, 2020 after a six-month grace period. The main contents of the revised bill are 1) increasing status as a general norm in the biotechnology field, 2) establishing data evidence-based policies, 3) inducing biotechnology innovation, and 4) promoting regulatory science, especially research and development. This revision has been reorganized in a timely manner in accordance with the current technological advancements, changes in society and environment, and both quantitative and qualitative growth of the domestic bioscience ecosystems and its competitiveness are expected by systematic supports and promotions of the government during the whole period in terms of research and development (R&D) as well as business and industrialization.

Park, Mun Su ; Soonwoo Daniel Chang(The State University of New York (SUNY Korea)) pp.257-280 https://doi.org/10.7545/ajip.2020.9.3.257
초록보기
Abstract

The study analyzed the effectiveness of a technology transfer and commercialization support program to Korean technology transfer offices and firms. The study created a logic model to design a questionnaire to analyze how the support program, directly and indirectly, affected the technology transfer offices and the firms’ performances. The study found that technology transfer offices are focused not only on potential firms’ excavation activity to process the technology transfer but also on providing strategic support to provide practical assistance to the firms’ needs. Not only has the number of technology transfer cases increased during the two-year program duration, but other activities, such as technical guidance and various strategic consulting for commercialization of the transferred technology, have also appeared to have increased considerably. Support program has helped strengthen the firms’ internal capabilities, expand new market capabilities, and increase the firms’ indirect performances.

Elly Hyanghee Lee ; YOUNGSUN JANG ; Luthfina Ariyani(Indonesian Institute of Sciences) ; Karlina Sari(Indonesian Institute of Sciences) ; Ria Hardiyati(Indonesian Institute of Sciences) pp.281-307 https://doi.org/10.7545/ajip.2020.9.3.281
초록보기
Abstract

A variety of approaches are being applied to improve the existing ex-ante evaluation by expert panels in publicly funded R&D. While the objective evaluation criteria are constantly being improved to screen and select the superior projects, alternative approaches such as random prioritization and logical modeling are also underway to overcome the conservative bias of reviewers and to secure disruptive innovation. This study intends to find critical implications for ex-ante evaluation of public R&D system from the comparison of Indonesia and Korea. For the comparative analysis, literature review and expert in-depth interviews are conducted on the national R&D system and the selection evaluation process. In Korea, the selection criteria of projects are legally promulgated for establishing an objective evaluation system, and at the program level, the major considerations in the planning process are specified by Presidential Decree. On the other hand, while Indonesia conducts R&D in 47 strategic fields largely by public research institutes (PRI) based on the non-competitive government contributions. This study draws out implications of institutionalizing the planning process at the level of program, and of increasing the ratio of contract-based competitive funding at the level of project in the national R&D portfolio.

Ganesaraman Kalyanasundaram(Indian Institute of Science) ; Sitaram Ramachandrula([24]7.ai) ; Bala Subrahmanya MH(Indian Institute of Science) pp.308-338 https://doi.org/10.7545/ajip.2020.9.3.308
초록보기
Abstract

The entrepreneurial journey is not short of challenges, and about 90% + tech start-ups experience failure (Startup Genome, 2019). The magnitude of the challenges varies across the tech start-up lifecycle stages, namely emergence, stability, and growth. This opens the research question, do the profiles of a start-up and its co-founder impact start-up success or failure across its lifecycle stages? This study aims to understand and identify the profiles of tech start-ups and their co-founders. We gathered primary data from 151 start-ups (Status: 101 failed and 50 successful ones), and they are across different lifecycle stages and represent six major start-up hubs in India. The chi-square test on status and start-up’s lifecycle stage indicates a noticeable correlation, and they are not independent. The Kruskal Wallis test was used to distinguish statistically significant profile attributes. The parameters distinguishing success and failure are identified, and the need to deliver customer experience is emphasized by the start-up profile attributes: Product/service, high-tech nature of a start-up, investor fund availed, co-founder experience, and employee count. The importance of entrepreneurial experience is ascertained with entrepreneur profile attributes: Entrepreneurial expertise, the number of prior and current start-ups, their willingness to start again in the event of failure, and age of co-founder, which is a proxy to learning and experience. This study has implications for entrepreneurs, investors, and policymakers.

Sung-Uk Park ; Moonsoo Park ; Soo-Hyun Park(University of Science and Technology) ; Young-Mi Yun(University of Science and Technology) pp.339-359 https://doi.org/10.7545/ajip.2020.9.3.339
초록보기
Abstract

The policy change in the Data 3 Act is one of the issues that should be noted at a time when non-face-to-face business strategies become important after COVID-19. The Data 3 Act was implemented in South Korea on August 5, 2020, calling ‘Big Data 3 Act’ and ‘Data Economy 3 Act,’ and so personal information that was not able to identify a particular individual could be utilized without the consent of the individual. With the implementation of the Data 3 Act, it is possible to establish a fair economic ecosystem by ensuring fair access to data and various uses. In this paper, the law on the protection of personal information, which is the core of the Data 3 Act, was compared around Korea, the European Union and the United States, and the implications were derived through network analysis of keywords.

Jieun Kim(Samsung Electronics) pp.360-393 https://doi.org/10.7545/ajip.2020.9.3.360
초록보기
Abstract

The space industry is a comprehensive and technology-intensive industry involving different converging technologies. However, most of the companies in Korea’s space industry are small and medium-sized enterprises (SMEs) and need to strengthen global capacity to export their products. However, the link between the destination country and the product remains insufficient. Consequently, the purpose of this study is to propose an export roadmap for space products to provide SMEs with export opportunities and strategic guidelines. For this, technology roadmap and portfolio analysis are applied to this purpose. This study is expected to be helpful to SMEs and government agencies.

Asian Journal of Innovation and Policy