Social enterprise is increasingly recognized as an attractive alternative to solve social problems. To achieve long-term success, it is required that social enterprises should increase market competitiveness. The purpose of this study is to examine how consumer’s perceived CEO characteristics influence on attitude toward social enterprise, based on transfer of association and hierarchy of effects model frameworks.
The results show that perceived CEO’s organizational capabilities and technical capabilities have significant influences on corporate CA association. And perceived CEO’s commitment to social issue has a significant influence on corporate CSR association. It also reveals that these corporate associations are positively related to attitude toward social enterprise. In addition, there are some differences of path coefficients between two types of the social enterprise. Based on these results, implications for effective positioning and publicity strategy are discussed.

Nowadays, the interests of Social Enterprise is gradually increasing. However, because of two important purpose-social purpose and corporate thinking-, social enterprises have a lot of difficulties. This study empirically examines the Social Entrepreneurship Attributes by using the method of MDS(Multi-Dimensional Scaling method). To test the hypothesis of this research, conducted SPSS 18 using data and information gathered from specialist of social enterprise in Korea.
Before the research, we drew 3 attributes of Social entrepreneurship-Sociality, Innovation, Market Orientation-from advanced research, and developed 8 social entrepreneur episodes. Results from analysis revealed that, relation between responses and 3 dimensions significant partially.

To examine the effects of industrial clusters operated by government agencies and
local governments in order to generate open innovation, this study analyzes how the
collaborative networking and entrepreneurship fostered of clustering firm affect the
technological innovation activity and performance of venture business. At the research
design, 624 firms are ed from the population of 2010 Venture Business Investigation
by the stratified sampling method. In accordance with the research purpose and previous
researches, questions and data on the investigation are categorized systematically into
collaborative networking, entrepreneurship, and the technological innovation activity
and its performance.
As a result of one-way ANCOVA, it is verified that there is significant difference
between clustering and non-clustering firms in terms of collaborative network activity,
R&D intensity, R&D professional ratio and technological superiority. This result means
that industrial clustering, the regional agglomeration of business sectors can have
positive effect on the technological innovation activity of ventures. Not only that, the
collaborative networking of the clustering firms has positive effect on R&D professional
ratio, intellectual property of the technological innovation activity. On the other hand,
the technological innovation performance, including sales ratio of innovative product,
technological competitiveness and superiority, is affected by clustering firms’ entrepreneurship.
Lastly, all factors of technological innovation activity, which are the R&D
intensity, R&D professional ratio and intellectual property, has positive effect on the
sales ratio of innovative product of clustering firms. Based on the research results,
a variety of political issues are discussed on the conclusion in way to improve the
technological innovation activity and performance of venture businesses who are the
strategic units of governments’ industrial policy.

The purpose of this study is to investigate the critical success factors of Social
Enterprises for their effective operation and management. To accomplish this purpose,
We surveyed focusing on Social Enterprises, and the surveyed data was empirically
analyzed by AHP method. This paper spells out the key success factors of Social
Enterprises, which include policy and social capital, business environment, management
competence, organization structure, social-entrepreneurship, and strategy, respectively.
The empirical results put emphasis on the priority of policy and social capital, business
environment as external factors of enterprise to assist a successful Social Enterprise.

Startup ventures, which play a pivotal role for the national economy, form external
networks to overcome the disadvantages of being new small enterprises as well as
to improve the chances of survival. There have been many studies on the impact of
external networks on the survival of startup companies, but the findings are not
consistent. This study reexamines the effect of external networks by taking into account
another contingency variable, companies’ internal capabilities.
The empirical analysis on the direct effect between a startup’s external network
and its survival has revealed that the industry-academy collaborations have a positive
impact on survival while the policy fund support has a negative impact. Additionally,
when the moderating effect of the internal capabilities was probed, it turns out that
technological capability enhances the positive effect industry-academy collaborations
has on the company survival and, furthermore, that the size of capital positively
moderates the relationship between the government support fund and company survival.
In other words, the better the technological capability, the bigger the positive impact
of industry-academy collaborations on company survival and the larger a startup's
capital, the smaller the negative impact of the government support fund has on survival.
The most significant implication of this study is that the inconsistent effect of
external networks, which is a major factor in survival, is empirically proved to be
moderated by internal capabilities. The aforementioned study results indicate that, in
order to improve the survival rate of the startup ventures, the industry-academy
collaboration and the government finances shall concentrate on the startups with a
certain level of internal capabilities.