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Record W3122095224

한국의 기업가정신 활동 :2009년 글로벌기업가정신연구(GEM) 일반성인조사(APS)를 중심으로

2009· article· ko· W3122095224 on OpenAlexaboutno aff
반성식, 김상표, 송경모, 조동환, 박종해, 차민석

Bibliographic record

Venue한국경영학회 통합학술발표논문집 · 2009
Typearticle
Languageko
FieldHealth Professions
TopicInnovation in Digital Healthcare Systems
Canadian institutionsnot available
Fundersnot available
KeywordsEntrepreneurshipPopulationPolitical scienceEconomic growthBusinessEconomicsSociologyFinance
DOInot available

Abstract

fetched live from OpenAlex

The purpose of the Global Entrepreneurship Monitor(GEM) is to build and enhance global understanding about the attitudes, activity, and aspiration of entrepreneurs. By providing greater knowledge about entrepreneurship, GEM can help governments, businesses, and educators around the world design policies, develop programs, and provide assistance to help these enterprising individuals thrive in an increasing global business environment. GEM is a consortium of national academic teams and a central coordination team. Working together, this consortium administers an adult population survey(APS) of at least 2,000 individuals from 18-64 years old in each participating country. In addition, GEM conducts National Expert Surveys (NES) of at least 36 experts, to provide information about particular factors impacting entrepreneurship in each country. The analysis of NES was based on the answers from 62 experts in the 9 specified fields. GEM is a leading research program in the field of entrepreneurship, since it was suggested by Michael Hay, London Business School, UK, and William Bygrave, Babson College, USA. In the first year of the program, 1999, only 10 countries of US, Canada, UK, France, Germany, Japan, Italia, Finland, Israel, and Denmark were analyzed. The number of participating countries has grown since that time and reaced to 54 in 2009. This report organizes the 54 countries into three groups based on different economic development levels: factor-driven, efficiency-driven, and innovation-driven. Korea is among the 20 higher-income innovation-driven economies. Many of the comparisons made in this report with respect to Korea are within this group of countries. Korea ranked 8th in the TEA level in the group. Among the nations with higher level of TEAs are UAE, Iceland, and Greece, who have been experiencing severe economic distress after the global financial crisis. This shows higher TEAs do not imply better economic conditions, as is shown in the fact that Japan, also belonging to innovation-driven economy, has the lowest level of TEA(3.3%). The APS survey was conducted in May 2009, when the effects of global credit crisis were severely spread out almost all over the world. In entrepreneurial attitude, few Koreans see good opportunities for launching a business in the next six months, and few believe they have the skills to start a business. At the same time, Koreans saw entrepreneurship as attractive, had low fear of failure, were highly likely to indicate they expected to start a business in the next three years, compared to other innovation-driven economies. In measuring entrepreneurial activity, GEM includes four phases: potential, nascent, new, and established entrepreneurs. This report focuses primarily on nascent and new entrepreneurs, which make up the Total Entrepreneurial Activity (TEA) rate. This rate in 2009 was 7% of the adult population in Korea, which were lower than 10% of 2008. Especially the decline of TEA rate were made more sharply among men than women. Both the necessity- and opportunity-based entrepreneurial activities felt down, the degree of decrease were relatively large in the latter (from 5.8% in 2008 to 3.7% in 2009) compared to the former (from 4.0% in 2008 to 3.1% in 2009). The rate of business discontinuation is the highest in Korea, relative to the other innovation-driven countries. One distinct quality of entrepreneurship in Korea is the ratio of male to female participation in entrepreneurship. While this varies among countries across the entire sample, the innovation-driven countries generally have a male-to-female entrepreneurship ratio of two to one, with some (U.S., Germany) having a much lower ratio. Korea, however, has about a three-to-one ratio. The ratio in TEA ( 10.4% of men to 3.5% of women) is almost the same as that in SEA(0.6% of men to 0.3% of women). Another prominent characteristic describing Korean entrepreneurs is the comparatively high level of education they have achieved, particularly graduate experience. In terms of aspirations, entrepreneurs in Korea, along with a few other countries, were pursuing higher levels of growth with their businesses. However, they were less likely to indicate their products embodied a high level of innovation (new product-market combinations). In addition, they only reported a moderate level of internationalization. The environment of informal investments in Korea is not so satisfactory, for its average score of 2.29 ranked 15th from the below among the 40 nations surveyed. The ratio of the informal investment to GDP in Korea is lower than 1%, as was discovered in Japan and Malaysia, which shows a conspicuous difference to 11% of China. Like other countries like US and UK severely affected by the global economic crisis, there is some evidence of a reduction in informal activity in Korea compared to 2008 too. Reports from the National Expert Survey reveal that availability of funding is a challenge for entrepreneurs, which is generally a concern for all the innovation-driven economies. Experts in Korea regard great the role of government in promoting entrepreneurial activities and agree that entrepreneurship is a priority for government, and this can be reflected in the variety of government programs initiated to promote entrepreneurship, including the establishment of technology incubators. In 2009, Korean government made a decision to enlarge the size of the government-aided funds for the private venture capitals, and the ratio of funds raised from government side reached more than 80% in Korean venture capital funds. A special topic of 2009 GEM project was Social Entrepreneurship Activity(SEA). Generally SEA level tends to increase as the stage of economic development evolves, as the SEA ratios discovered in factor-, necessity-, and innovation-driven economy are 1.4%, 1.8%, and1.9% respectively. The Korean number recorded just 0.7%, which is not only far lower than the average of the total nations, but also even the lowest except for Hong Kong and Spain. While male and female SEA ratios in innovation-driven countries are 1.2% and 0.7% respectively, Korea have much lower level of 0.6% and 0.2%. The higher the education level rises, the more Korean people participate in social entrepreneurship activities in order to address social and environmental problems.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.054
Threshold uncertainty score0.181

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0540.032

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.096
GPT teacher head0.466
Teacher spread0.370 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2009
Admission routes1
Has abstractyes

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