Science, technology and innovation (STI) is crucially important to eradicating poverty, and making advances in various areas such as agriculture, health, environment, transport, industry, and telecommunications. Therefore, it is vital to the overall socioeconomic development of nations. The indispensable role of STI in the competitive globalized economy led to several attempts to measure national STI capacities. The present study outlines STI capacity around three sets of capabilities: technological capabilities, social capabilities, and common capabilities. The Global Science, Technology and Innovation Capacity (GSTIC) index was developed to provide current evidence on the national STI capacities of the countries, and to improve the composite indicators used for such purposes. The GSTIC ranks a large number of countries (167) on the basis of their STI capacities and categories them into four groups: i.e. leaders, dynamic adopters, slow adopters, and laggards. For more meaningful assessment of the STI capacities of nations, it captures the achievement gaps of individual countries with the highest achiever. The study also provides ranking and achievement gaps of nations in the nine GSTIC pillars: technology creation, R&D capacity, R&D performance, technology absorption, diffusion of old technologies, diffusion of recent innovations, exposure to foreign technology, human capital, and enabling factors. A more detailed analysis of the strengths and weaknesses in different pillars of STI capacity of ten selected countries is also provided. The results show that there are significant disparities among nations in STI capacity and its various aspects, and developing countries have much to catch-up with the developed nations. However, different countries may adopt different strategies according to their strengths and weaknesses. Useful insight into the strengths and weaknesses of the national STI capacities of different countries are provided in the study.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.13
no.3
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pp.85-98
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2018
This study aims to investigate the effects of venture & inno-biz companies' technological innovation competences on technological performances and economic competitive advantage, using VRIO framework. The empirical data for this study were based on the technology assessment results of Korea Technology Finance Corporation (KOTEC) on 3,462 venture & inno-biz companies and the following 2 years' financial data. Sample companies with technological innovation resources, such as technology management strategy(Value), differentiation of technology(Rarity), imitation difficulty of technology(Imitability) and technical organization capability(Organization), made efforts to expand their intellectual property rights, technological development and commercialization of new products, thereby ensuring technological competitive advantage. Furthermore, technological competitive advantage were proved to improve sales growth, increase in operating revenue, and financial soundness. Compared with four VRIO factors' influence on business performance, imitation difficulty of technology(Imitability) and organization technological capability(Organization) had much more influence than any other internal resources or capabilities respectively.
This study analyzed the linkage relations of technological innovation between Daedeok Innopolis and other seven innovative clusters in industrial complexes which have played important roles as innovative centers in Korea. To begin with, we selected major technologies of Daedeok Innopolis for which the linkage with other clusters of innovative activities was analyzed quantitatively and graphically with association matrices, network analysis and dendrogram. Based on this network analysis, we analyzed the technological linkage among clusters and found the direction and strength of technological cooperation of the Daedeok Innopolis with other innovative clusters by technology field. This study analyzed the technological network between the Daedeok Innopolis and other clusters on 6 technology fields in which Daedeok has innovative capabilities. In the analysis was measured the centrality of Daedeok compared with that of other clusters in areas where Daedeok is relatively active in innovative activities. As a result, Daedeok showed the highest centrality with the active innovative activities. Except Daedeok, Banwol-Sihwa cluster showed the highest centrality in all of the 6 technology fields. Putting all the centrality of each innovative cluster and the linkage relations of Daedeok Innopolis together, it need to consider the following policy directions to strengthen the innovative linkage with other clusters. In Daedeok's main technology areas, it needs to increase the regional linkage with the clusters with relatively high centrality and relatively low linkage with Daedeok. For Changwon, Wonju and Gunsan with which Daedeok has the relatively low innovative linkage, it need to examine a new policy to improve the linkage with technologies related with the industry other clusters are nurturing. When Daedeok formulates a plan to cooperate with other clusters, it does not only have to consider the linkage relations of technological innovation analyzed in this study and but also has to examine the cooperative strategies from the comprehensive point of view considering every aspect of their strategic industries, supportive policies, industrial base and competitiveness. This study analyzed the linkage relations between regions based on the network analysis of patents only by co-invention. Consequently, it did not examine the factors inducing the co-invention, which is a limitation of the study and is to be investigated in the future. Also, the exploratory analysis on determinants of linkage intensity and the strategies to get synergy effects through solidified linkage will be the issues of further study.
The global economy is rapidly changing by technological innovation and diffusion of knowledge across nations. Therefore it is still important issue to find a major variables for convergence and divergence of economic development. The studies up to present on the relationship between innovation and institution has limitations that they have dealt with this issue only in term of cross-sectional study or mathematical research models. This paper aims at analyzing the impact of innovation capabilities and institutional quality on the economic growth. Empirically this paper will explore the relationship among human capital capacity and FDI, R&D expenditures and innovation capabilities and institutional quality. This paper analyzes 64 countries, which were divided into 4 groups depending on the level of economic development. Based on the data from 1995 to 2011 and by using a panel model, we look at the structural implications of the research questions. According to our analysis, the weight of R&D and the innovation capabilities were identified as important determinants of economic growth, and FDI was significant factor for economic growth in the upper middle group countries. In case of the innovation capabilities of countries, the diffusion and openness of innovation were most meaningful variables for economic growth. Also, institutional quality has a significantly positive impact. However, in the low-level economic group, innovation capabilities and institutions have a negative impact on economic growth. This paper identifies an important policy implications that of national innovation and institutional factors should be properly invested in accordance with the level of a country's economic growth.
This study micro-analyzed the impact of innovation capabilities on innovation performance by type of CEO, with innovative SMEs being subject to research. In addition, the impact of CEO type on innovative capabilities and the impact of innovative capabilities on innovation performance were studied together. In order to achieve the research objective, we conducted an empirical analysis of 250 innovative small and medium-sized enterprises registered in the medium-term department as research targets and the results are as follows. First, the analysis of the impact of the type of CEO on the capacity of innovation shows that market-oriented, technology-driven and consultant-type CEOs have a significant impact on the amount of technology change reduction, but managed CEOs do not see any statistically significant differences in the amount of technology change reduction areas. Managed CEOs did not see statistically significant differences in the amount of technology change-sensitive areas. In addition, it was analyzed that the current type of CEO of small businesses does not affect the R&D technology digestion capacity of technological innovation capabilities. Second, the analysis of the relationship between innovation capabilities and innovation performance did not have a statistically significant effect. Third, the analysis of the adjustment effect between the type of CEO and the capacity of innovation according to the growth stage of small businesses shows that the technology and the consultant-type CEO affect the amount of the area of technology change, but the managed and market-type CEOs did not have the adjustment effect. Fourth, the analysis of the capacity of innovation and the effect of adjustment between innovation and innovation in the growth phase of innovative SMEs did not have a statistically significant effect.
Hong, Jun Suk;Park, Won Hyung;Kim, Yanghoon;Kook, Kwang Ho
The Journal of Society for e-Business Studies
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v.20
no.3
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pp.1-10
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2015
The main objective of this study was to identify the factors that can maximize the effect of preventing technology leakage by government support. Therefore we used the 2013 small business technology protection capabilities and level of research which is conducted by the Small and Medium Business Administration, and have analyzed the presence of small business technological assets leakage protection eand skills. Multiple logistic regression analysis was performed to identify 1,518 small companies (43 big companies are excluded) which are divided into 155 technological assets leaked small business and non-leaked 1363 small business. The most important factors associated with technology leakage were entrant control system, security audit, employee absence of security activities and important data protection measures. This result shows that if the government can support more for these details, technological asset leakage prevention effect is expected to be maximized.
The Journal of the Convergence on Culture Technology
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v.9
no.5
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pp.625-633
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2023
The global pet culture-related industry is currently experiencing a trend of expansion. Within the pet industry, pet food holds a significant share, occupying a substantial portion. Presently, the domestic pet food market exhibits a high dependency on imported products, underscoring the critical importance of prioritizing the acquisition of intellectual property rights to ensure competitiveness and facilitate technological development within the relevant industry. we have undertaken an assessment of the current status and prospects of domestic pet food patents. Specifically, we have conducted temporal and applicant-specific statistical analyses, as well as IPC technology analyses, to examine the stages of technological advancement, corporate technological development and innovation capabilities, patent application distribution, and the technological landscape of key enterprises and research institutions. The research findings indicate that domestic research activities related to pet food have entered a mature phase, and the trends in patent applications for domestic pet food indicate a notable participation of multinational corporations alongside domestic enterprises.
Despite the tremendous efforts to boost them, domestic SMEs lack competitive power and it intensifies bipolarization between the conglomerates and SMEs. Furthermore, degree of industry-academy collaboration still falls far behind of that of developed countries even with government' s various policies and continuous increase in investment to strengthen the SMEs' technology innovation capability. Although many internal factors are suggested to affect technological performance, focus of existing studies has been restricted to immediate impact of industry-academy collaboration on technology innovation and it is not known how internal factors are related. This research conducts empirical analysis on the impact of industry-academy collaborations and absorptive capacity on technological performance in Korean SMEs. Sample frame is SMEs with more than five employees located in the nation wide industrial complex and 1,077 questionnaires are collected with the help of Korea Industrial Complex Corporations. 940 sample data excluding those with insufficient response are used in analysis. Multiple regression analysis revealed that the industry-academy collaborations and innovative HRM system, on important dimension of absorptive capacity, are positively correlated to technological performance. Furthermore, there exists a positive interaction effect between industry-academy collaborations and innovative HRM system. These findings make contributions to the formation of SME innovation policy and management. When funding industry-academy collaborations, government should consider SMEs' internal effort for innovation, that is, the possession of innovative HRM system, as well as firm's technology capability. Also, as technological performance cannot be achieved simply with R&D investment, both quantitative and qualitative assessment of SMEs' technological capability should be done to evaluate the candidate SMEs. As for management, it is important for SMEs with limited internal resources and capabilities to fully employ external resources to achieve higher technological performance. The development of innovative HRM system will be particularly helpful not only for internal R&D, but also for adoption of technology and knowledge from outside.
Previous researches on technological innovation have several limitations such as lack of general mechanism for technological innovation(inputs, throughputs and outputs of technological innovation), large company oriented studies, and ignoring importance of technology management capabilities. So, this study suggested a new model using resource-based theory and system theory, and empirically applied that to SMEs. Structural equation model analysis by using 223 SMEs in Daegu region provided a support for most of hypotheses. Research results showed that all of factors on technological innovation were significantly and positively related with each other: inputs(R&D leadership, innovation strategy, R&D investment, R&D human resource management, external network), throughputs(portfolio management, project management, technology commercialization) and output(technological innovation). In case of technological innovation inputs, R&D leadership influenced on innovation strategy positively and significantly. And R&D leadership and innovation strategy had positive and significant effects on R&D investment, R&D human resource management and external network. R&D human resource management and external network exerted positive and significant influences on technological innovation throughputs such as portfolio management and project management. But R&D investment did not significant impacts on technological innovation throughputs. Among technological innovation throughputs, both portfolio management and project management had positive and significant effect on technology commercialization. In addition, technology commercialization acted positively and significantly technological innovation output. This study suggests necessary of efforts to implement innovation strategy and manage R&D human resource effectively based on CEO's innovativeness and entrepreneurship. Also, if SMEs want to develop technology and commercialize it, they have to cooperate with external technology resources and informations. Research results revealed that proper level of R&D investment, internal and external communication, information sharing, and learning and cooperative culture were very important for improvement of technological innovation performance in SMEs. Especially, this research suggested that if SMEs manage technological innovation process effectively based on resource-based and system approaches, then they can overcome their resource limitations and gain high technological innovation performance. Also, useful policy support for technological innovation of central or regional government by this research model is important factor for SMEs' technological innovation performance.
Purpose: This empirical study is focused on the relationship between innovation capability (R&D and Human Resource innovation) and performance in knowledge-based service firms. Methods: We build research model to test how each of innovation capability on technology and human resource is influenced on their financial and non-financial performance in the knowledge-based service industries. Based on the previous research, we hypothesized the factors are regarded innovation capabilities of the firms as the scale of R&D and human resources. Because this study is especially targeted to the performance of knowledge-based service firms. With the survey on 424 main knowledge-based service firms, the multi-regression analysis was performed. Results: The result showed that the scale of R&D and human resources capabilities are main factors for knowledge-based service firms' performance, which reflects the current industrial structure. Conclusion: This study empirically demonstrated that human resources are most important to the growth of knowledge-based service firms.
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