• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.15 no.5
• /
• pp.2821-2830
• /
• 2014

This study was carried out to define gazelle industry through preceded research for gazelle firm & gazelle region, in order to discover high-growth industries. Gazelle industry is 'employees per company is more than ten people, and over the past five years, within top 10% by Birch employment growth index'. According to the definition of gazelle industry, Chungnam gazelle 105 industries were chosen. Then, analyzed whether Chungnam gazelle industries has competitiveness compared with nation and each city of Chungnam. In addition, typology to industrial development stage was devised by developing of business scale quotient(BQ) and industrial growth rate(IG). And development strategies of Chungnam gazelle industries was proposed case by industrial development stage.

• Journal of the Economic Geographical Society of Korea
• /
• v.17 no.2
• /
• pp.335-348
• /
• 2014

This study investigates the technical level and industrial structure for the case of the Gazelle industry in Chungnam Province. As a results of the empirical study, the Gazelle industry of Chungnam Province shows a competitive position in terms of scale and growth capacity, which. in turn, provides income and tax collection effects due to the high level of industrial efficiency. Among the Gazelle industry of Chungnam Province, low-level technology industry, compared to high and middle-level technology industries, accelerates higher level of agglomeration and industrial growth, which provides a rapid change of industrial structure of the province. Theses research results imply that research and development investment in the Gazelle industry is essential and industrial development strategy should be conducted via step-by-step with business scale quotient (BQ) and industrial growth rate (IG). Meanwhile, there should be a serious policy review whether low-level technology industry is better off for the province compared to high and middle-level technology industries. This study expects that regional industrial policy applying the concept of Gazelle industry can accelerate regional development since the Gazelle industry contributes to the high level of income growth and employment creation.

• Journal of the Economic Geographical Society of Korea
• /
• v.22 no.3
• /
• pp.304-320
• /
• 2019

Interest in gazelle-firms, which contribute to sustained job creation, is increasing. This study aims to analyze the regional characteristics of employment by gazelle-firms in terms of job quality as well as job quantity. Furthermore, the characteristics by industry for each type are compared. The major results are as follows. First, the regional characteristics of job creation are varied in terms of the quantitative and qualitative aspects. Second, it is found that the characteristics by industry for each type are different. Therefore, each type should have discriminative strategy. These results provide policy implications that gazelle-firms' policies should be tailed to regional characteristics in order to foster gazelle-firms more effectively.

• Defense and Technology
• /
• no.8 s.138
• /
• pp.16-23
• /
• 1990

싱가포르 항공사는 프랑스 Aerospatiale Helicopter Division, CATIC(PRC)과 새로운 4~5인승 단발엔진 헬기를 공동 개발하기로 합의하였다. 잠정적으로 P120L이라고 명명된 이 새로운 항공기는 Gazelle이나 Lama 계열로서, Ecureuil 기를 보완하는 것으로 계획되어 있다. 실제 개발은 1990년 말 개념정의단계 완료후에 결정될 것이며, 첫 비행은 1993년, 인도시기는 1996년으로 예정되어 있다. P120L기에는 2가지 형이 있는데, 하나는 민수용이고 또 하나는 고성능 군용기이다. 기체 총 중량은 민수용은 2천kg, 군수용은 2천3백kg이다.

• Journal of Technology Innovation
• /
• v.23 no.3
• /
• pp.373-396
• /
• 2015

This study analyzed the determinants of high-growth firms using the technology appraisal data of the Korea Technology Finance Corporation. This study is differentiated from previous studies for three reasons. First, it analyzed the determinants of firms that will grow into high-growth firms in the future, not the characteristics of current high-growth firms. Second, it analyzed high-growth firms by dividing them in two aspects: sales and employment. In other words, they were divided into three types: the case in which a firm achieves high growth in both sales increase and creation of jobs, the case in which a firm achieves high growth in creation of jobs but low growth in sales increase, and the case in which a firm achieves high growth in only sales increase but low growth in creation of jobs. Third, this study applied the technology appraisal indicators of Kibo Technology Rating System(KTRS) by the Korea Technology Finance Corporation as the explanatory variable. As a result of analysis, it was found that a firm achieved high growth in both sales and employment if the position in the technology life cycle was appropriate and the technology readiness level was high. However, it turned out that the management system of technical manpower had conflicting effects on high growth of employment and sales. In other words, a firm that had well managed its technical manpower achieved high growth in terms of employment, but rather showed low growth in terms of sales. This result suggests the inference that firms showing high growth in employment may appear mainly in the high-tech industry where management of technical manpower is important. Accordingly, as a result of adding dummy variables that represent whether or not firms are in the high-tech industry, it was found that the result supported the inference, as firms in the high-tech industry were highly likely to achieve high growth in employment.

• The Journal of Society for e-Business Studies
• /
• v.26 no.3
• /
• pp.1-20
• /
• 2021

As the Great Reset is discussed at the World Economic Forum due to the COVID-19 pandemic, artificial intelligence, the driving force of the 4th industrial revolution, is also in the spotlight. However, corporate research in the field of artificial intelligence is still scarce. Since 2000, related research has focused on how to create value by applying artificial intelligence to existing companies, and research on how startups seize opportunities and enter among existing businesses to create new value can hardly be found. Therefore, this study analyzed the cases of startups using the comprehensive framework of the multi-level perspective with the research question of how artificial intelligence based startups, a sub-industry of software, have different innovation patterns from the existing software industry. The target firms are gazelle firms that have been certified as venture firms in South Korea, as start-ups within 7 years of age, specializing in machine learning modeling purposively sampled in the medical, finance, marketing/advertising, e-commerce, and manufacturing fields. As a result of the analysis, existing software companies have achieved process innovation from an enterprise-wide integration perspective, in contrast machine learning technology based startups identified unit processes that were difficult to automate or create value by dismantling existing processes, and automate and optimize those processes based on data. The contribution of this study is to analyse the birth of artificial intelligence-based startups and their innovation patterns while validating the framework of an integrated multi-level perspective. In addition, since innovation is driven based on data, the ability to respond to data-related regulations is emphasized even for start-ups, and the government needs to eliminate the uncertainty in related systems to create a predictable and flexible business environment.