• Journal of Technology Innovation
• /
• v.19 no.1
• /
• pp.145-175
• /
• 2011

The purpose of this research investigates the determinant factors of the joint technology development project performance between SMEs and universities. Reviewing existing papers we could categorize independent variables into three groups of partner characteristics, process management variables and relationship characteristics between partners. Three measures of satisfaction with the cooperation result, the intention of continuing relationship and the utilization of developed technology and product were used as dependent variable considering that we studied the joint projects of SMEs' involvement, short period and small scale. The data was collected by questionnaire survey mailed to the 1082 SMEs and university professors which executed the joint projects sponsored by Small Business Administration in 2009. We received 200 responses from SMEs, and 305 cases from professors among which 55 responses of each partner were on the same project. We analyzed the data sets individually, data of SMEs and that of universities with multiple regression analysis technique and also analyzed the common responses of 55 projects. Analysis results of the data from SMEs indicated that partners' expertise, facilities and equipment, communications, strategic importance, and trust were significant variables for the project performance. Analysis results of the data from universities showed that previous links, definition of objectives, strategic importance, trust and commitment were significant variables. Analysis results of combined data of 55 projects from SMEs and universities indicated that facilities and equipment, project management proficiency and commitment were significant variables.

• STI Policy Review
• /
• v.7 no.1
• /
• pp.17-39
• /
• 2016

Despite the importance of university-industry collaboration, issues pertaining to the characteristics of collaborating firms, their modes of interaction, and the relationship between these modes and outcomes are not well-researched. The impact of country's development on these issues is also unclear. This case study examines Japan and Thailand-respectively representing developed and developing countries-and features the following key findings: 1) the characteristics of firms affect modes, with large Japanese firms being more collaborative with universities, whereas Thai SMEs significantly collaborate more with universities; 2) the relationship between modes in Thai firms is stronger than those of Japanese firms because in Thailand, perhaps due to weak technological capacity, R&D collaboration is conducted alongside university consultancy services; and 3) in Japan, R&D and human resource development collaboration lead to product innovation, whereas different outcomes are expected from different modes in Thailand. Apparently, trivial informal collaborations do have significant impact on innovation.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.9 no.5
• /
• pp.43-52
• /
• 2014

It becomes to be essential for firms to build up collaboration ecosystem with diverse entities and to be common for firms to absorb knowledge from external environment for their innovation. Companies try to transfer technological or knowledge asset to other firms through open innovation. The purpose of this research is to suggest the role of universities in University-Industry Collaborations besides research collaboration and we focus on the role of university to strengthen the regional business ecosystem network. For this research, we analyze a specific UIC(University Industry Collaboration) program called as "Business Clinic Day" which provides a consulting service for firms, especially, SMEs with a specific problem by a group of consultants including CEOs, professors, and heads of regional public or private service providers. Then we studied how the business network has changed after the program with network analysis. Also, we try to find out the main pattern of network structure extension of business ecosystem with interview. This study illustrates that changing types of network are formed between university and SMEs by clinic day. The result shows that not only new role as a network promoter, but also the partner as a technology-provider in the regional business ecosystem.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.8 no.3
• /
• pp.77-84
• /
• 2013

In this paper, we focus the changing role of universities of University-Industry Collaboration (UIC) for enriching the regional business ecosystem network. For this research, we analyze 'Regional Innovation System(RIS)' - a specific UIC program- which provides a marketing service for firms, especially, SMEs with a specific problem by a group of consultants including CEOs, professors, and heads of regional public or private service providers. Then we have analyzed using network analysis how the business network was changed from RIS. Moreover, we will interview the participants in the important position of the network and investigate the reason for bringing a change in the network structure by using this program. This study illustrates that various types of network are formed between university and SMEs. Furthermore, the networks surrounding SMEs are extended to the other people connected to them. This means that the business network of SMEs had been diversified via the facilitation of university. This study throws new highlights on the new role for the university as a network promoter in addition to the partner as a technology-provider in the regional business ecosystem. Moreover, the network analysis between before-and-after can be used for the evaluation of the effectiveness of the various UIC programs.

• Journal of Technology Innovation
• /
• v.18 no.1
• /
• pp.75-98
• /
• 2010

The purpose of this paper is to give policy implications for relevant policy-makers by analyzing factors affecting performance of industrial R&D programs of the Ministry of Knowledge Economy. The independent variables are type of project leader organization(Big Enterprises, SMEs, Ventures Businesses, Public Research Institutions, Universities), cooperative or noncooperative R&D among industry-university-research institution, total number of project participant organization, total R&D investment, and the ratio of private investment to total R&D investment. The dependent variables are domestic or foreign patents granted and domestic or foreign papers accepted. The method of analysis is Poisson Regression analysis operated by STATA. The results of this research are follows ; Universities show higher R&D performance compared to enterprises or public research institutions in terms of patents and papers as well. Venture businesses show higher patent performance compared to SMEs. Inverted U-shaped relationship between total number of project participant organization and R&D performance is not supported. The higher total R&D investment, the higher R&D performance. The higher the ratio of private investment to total R&D investment, the higher R&D performance.