This study is going to analyze what effect the external cooperation of venture companies would have on corporate growth and to study how technical competence might directly or indirectly affect corporate growth in this process. Through this, we would seek the key factors that led the growth of venture companies and grasp the role of technical competence in the relation between external cooperation and corporate growth. Accordingly, in this study, using the data of the ‘Precise Business Survey of Venture Companies’, the analysis was conducted, aimed at 1,323 venture companies that were externally collaborating. The analysis was implemented utilizing SPSS-based PROCESS macro to verify the mediating effect, in addition to the multiple regression analysis.As a result of the hypothesis testing, it represented that first, external cooperation had a significantly positive (+) effect on converging technologies and innovative technologies; second, external cooperation affected positively (+) corporate growth. Third, the innovative technologies of venture companies had a positive (+) impact on corporate growth. Fourth, technical competence had a mediating effect in the effects of external cooperation of venture companies on corporate growth.

Small and Medium sized Enterprises face a rapidly changing business environment amid accelerating globalization. Without the adaptation to a new industrial environment, survival itself has become impossible. The reality, however, is that the Korean small and medium sized companies are less adaptable as they have played a role in supplying parts to conglomerates in the nation`s industrial ecology. Therefore, this study is intended to comprehensively analyze growth factors needed for the leap forward of a small giant enterprise. If this is used to derive the general growth factors of small giant enterprise, it can provide useful theoretical and practical suggestions. To this end, the study analyzed existing research results for small giant enterprise. With the analysis of 40 papers, including 22 Korean and 18 international academic journals, it is found out that small giant enterprises have the innovative capability, human resources management system, export oriented operations, networking and leadership. Future studies will have to to verify how these growth factors affect the organizational outcomes specifically.

This study focuses on the distinctive characteristics that affect SMEs’ public procurement (PP) sales ratio-especially their impacts on “Open Competition PP sales ratio” and “SME-exclusive Competition PP sales ratio” respectively-in order to evaluate the effectiveness of Korean government’s policies in achieving their intended goal of enhancing the competitiveness of SMEs.
In “Open Competition PP”, financial stability appears to be one of the major factors for SMEs’ PP participation, whereas investments in R&D mainly affect a firm’s participation in “SME-exclusive Competition PP”. Furthermore, “SME-exclusive Competition PP” appears to grant more opportunities to comparatively new SMEs, and the enterprises participating in “SME-exclusive Competition PP” could manage to maintain more stable sales ratio even during the severe recession period of 2008~2010 whereas this ratio decreased for the “Open Competition PP” during the same period.
These results imply that SME-exclusive Competition guarantees SMEs more business opportunities and mitigates the effect of macroeconomic fluctuations.

The purpose of this study is verifying with corporate financial data that the required investment amount flow shows a similar pattern as times passed, in new product development by start-up company. In the previous paper, the same authors proposed the required investment amount flow as a ‘New Product Investment Curve (NPIC)’. In this study, we have studied further in various types of companies. The samples used are accounting data of 462 companies ed from 5,873 Korean companies which were finished external audit in 2015.
The results of this study are as follows; The average investment period was 3 years for the listed companies, while 6 years for the unlisted companies. The investment payback period was 6 years for listed companies, while 17 years for unlisted companies. The investment payback period of the company supported by big affiliate company (We call ‘greenhouse company’) was 14~15 years, while 17 years for real venture companies.
When we divide all companies into 4 groups in terms of R&D cost and variable cost ratio, NPIC explanatory power of ’high R&D and high variable cost ratio group (Automobile Assembly Business) is best. Among the eight investment cost indexes proposed to estimate the investment amount, the 'cash 1' (operating cash flow+fixed asset excluding land & building+intangible asset, deferred asset change)/year-end total assets) turned out to be the most effective index to estimate the investment flow patterns.
The conclusion is that NPIC explanatory power is somewhat reduced when we estimate all companies together. However, if we estimate the sample companies by characteristics such as listed, unlisted, greenhouse, and venture company, the proposed NPIC was verified to be effective by showing the required investment amount pattern.