• Journal of Technology Innovation
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• v.20 no.1
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• pp.115-140
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• 2012

From a point of knowledge based view, IUI(Industry-University-Institute) R&D collaboration is recognized as an important way to acquire lacking technology and knowledge. In this study, we investigated firm performance of IUI R&D collaboration on national R&D project. That is, we identified whether a collaborative research really affects firm performance, and whether firm performance is differed by types of collaboration. To test our hypotheses, we selected 250 Korean SMEs(Small and Medium Enterprises) which were funded from government R&D for 2006-2009, and we verified relations between the ratio and/or types of R&D collaboration and firm performance. Firm performance was measured by number of patent applied and ROA(Return on Assets) after completion of the project (in year t+1). Findings showed that the relationship between the ratio of R&D collaboration and technological performance was inverted U-shape. Among types of R&D collaboration, though inter-industry collaborative research was negatively related to technological performance, IUI collaborative research was positively related to technological performance. However, the ratio and types of R&D collaboration had no relation to economic performance. The results of this study will contribute to the strategy of SMEs as well as the policy of a government with regard to IUI R&D collaboration.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.115-131
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• 2014

This study analyzed the impact of the investment of venture capital firms(VCFs) on the technological advancement of SMEs, which could be represented as the numerical increasement of patents. The results of this study are as follows: the higher proportion of VCFs' shares or the higher intensity of R&D, the more positive impact has been shown in the technological advancement of SMEs. Also, the joint investment of VCFs or the leading investors' stock acquirement had a positive impact on the technological improvement of them. Meanwhile, the meaningful relationships of company-size and the technical manpower with technological development were not identified although they were marginally positive. Those could be interpreted that the VCFs' supervision and control, including their managerial and technical advice, over invested companies display effectiveness for SMEs. It could also be interpreted that investors concentrate their investment on the relatively stable companies or the companies which other investors already finished screening.

• Journal of Technology Innovation
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• v.22 no.3
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• pp.261-286
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• 2014

Recently, project performance and management of government R&D program investing huge amount of budget is being focused. In this study, I built a model for estimating the performance creating paths of the government R&D program, then I analyzed the attributes of performances created by industries. I used simultaneous equations with FIML and examined the IT industry and CT industry of industrial technology innovation program using survey on R&D performance conducted by KEIT. On the analysis result, all the companies create the innovation performance through the government grants. However, the one who commercialize patents is SMEs in IT industry, and conglomerates in CT industry. SMEs in IT industry, which has characteristic of complex product, need extra self innovation activities even the government supports them. For improving the commercialization performance and technology development of SMEs in CT industry, it is effective when conducting cooperative research. These findings give us the implication that it is needed to consider different factors by industrial and enterprise characteristic when planning the public policy and government tasks.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.1 no.1
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• pp.105-125
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• 2006

This paper relates recent empirical research on the growth. Smaller and younger firms have been growing more quickly than larger and older firms, thus, generating proportionately more new jobs. It is not difficult to understand why small and medium firms receive so much attention. Because SMEs provide about 80 percent of private sector employment so SMEs performance is an important economic and social factor. Despite this, they are subject to higher risk and mobility than those at the large firms. This paper is analyzes the relationship between firm growth measured as growth in employment, sales and production and firms age, size and R&D investment. The growth and its relationship with the determinants is linked to industrial policy in Korea. Empirical results are based on an unbalanced panel data covering period 1999-2002. Results show significant relationship between growth, size and age of firm.

• Journal of Korea Technology Innovation Society
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• v.13 no.1
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• pp.160-183
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• 2010

Recently, although many firms conduct open innovation through collaboration with other innovation actors, little attention has been paid to research and case study with regard to SMEs. However, since the capability of SMEs is too insufficient to access external resources and collaborate with other firms, SMEs have practical needs for active open innovation. In addition, although a lot of SMEs depend on external resources in terms of distribution, services and sales, most of open innovation-related research concentrate on R&D and production. Therefore, this research aims at presenting various types, methods and policy to stimulate the open innovation of SMEs. Typical types of open innovation which SMEs can take will be identified and then a relevant open innovation type will be matched on the basis of the characteristics of sectors. The results of this research will be helpful for policy makers to promote open innovation in SMEs.

• Journal of Korea Technology Innovation Society
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• v.19 no.3
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• pp.511-544
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• 2016

Standards boost technological innovation by promoting information sharing, compatibility, stability and quality. Identifying groups of companies that particularly benefit from these functions of standards in their technological innovation and commercialization helps to customize planning and implementation of standards-related policies for demand groups. For this purpose, this study engages in profiling of SMEs whose R&D objective is to respond to standards as well as those who need to implement standards system for technological commercialization. Then it suggests a prediction model that can distinguish such companies from others. To this end, decision tree analysis is conducted for profiling of characteristics of subject SMEs through data mining. Subject SMEs include (1) those that engage in R&D to respond to standards (Group1) or (2) those in need of product standard or technological certification policies for commercialization purposes (Group 2). Then the study proposes a prediction model that can distinguish Groups 1 and 2 from others based on several variables by adopting discriminant analysis. The practicality of discriminant formula is statistically verified. The study suggests that Group 1 companies are distinguished in variables such as time spent on R&D planning, KoreanStandardIndustryClassification (KSIC) category, number of employees and novelty of technologies. Profiling result of Group 2 companies suggests that they are differentiated in variables such as KSIC category, major clients of the companies, time spent on R&D and ability to test and verify their technologies. The prediction model proposed herein is designed based on the outcomes of profiling and discriminant analysis. Its purpose is to serve in the planning or implementation processes of standards-related policies through providing objective information on companies in need of relevant support and thereby to enhance overall success rate of standards-related projects.

• Journal of Korea Technology Innovation Society
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• v.20 no.2
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• pp.334-367
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• 2017

The ICT industry has been the main driver of Korea's economy with international competitiveness and is expected to be the growth engine that will revitalize the currently depressed economy. A broad range of different perspectives and opinions on the industry exist in Korea and overseas. Some of these are stereotypes, not all of which are based on objective evidence. Stereotypes refer to widely-held fixed opinions on a specific group and do not necessarily have negative connotations. However, they should not be viewed lightly because they can substantially affect decision-making process. In this regard, this study sought to review the stereotypes of ICT industry and identify objective and relative stereotypes. In the study, a decision-tree analysis was conducted on a survey result of 3,300 small and medium-sized enterprises (SMEs) in order to identify Korean ICT companies' characteristics that distinguish them from other technology companies. The decision-tree analysis, a data mining process based on machine learning, took a total of 291 variables into account in 10 subjects such as: corporate business in general, technology development activities as well as organization and people in technology development. Identifying the variables that distinguish ICT companies from other technology companies with the decision-tree analysis, the study then came up with a list of objective stereotypes of ICT companies. The findings from the stereotypes of Korean ICT companies are as follows. First, the companies are in need of technology policies that help R&D planning and market penetration. Second, policies must better support the companies working to sell new products or explore new business. Third, the companies need policies that support secure protection of development outcomes and proper management of IP rights. Fourth, the administrative procedures related to governmental support for ICT companies' R&D projects must be simplified. It is hoped that the outcome of this study will provide meaningful guidance in establishment, implementation and evaluation of technology policies for ICT SMEs, particularly to policymakers or researchers in relevant government agencies who determine R&D policies for ICT SMEs.

• Journal of Technology Innovation
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• v.22 no.4
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• pp.235-259
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• 2014

New product or new technology developments are directly linked to a firm's survival and thus their performance and improvement are gaining attention in the midst of rapidly changing business environment and aggravating competition. However, despite SMEs' significance in the national economy, they are limited in terms of size and resources in possession, so the government provides a variety of supports as a policy. According to a study on the organizational life cycle, a firm's limits and difficulties differ by growth stage, so the supports need to be tailored. Based on the data from 2,575 firms that responded to the "2011 SMEs Technological Statistics," how technological capability level and deviation in the R&D process affect the R&D sales performance was studied. The result of analysis revealed that the technological capability has a positive impact on the R&D sales performance. It was also learned that the relationship between deviation in the technological capability and R&D sales performance was moderated by the government support. For the hypothesis that the government support would have a different moderating effect by growth stage for the impact the technology level has on the R&D sales performance, the empirical analysis showed a different meaningful moderating effect for each growth stage. The theoretical implications of the study are that, instead of a simple relation of dynamics that does not take the growth stages into account, it suggested a more realistic causal relationship model that reflects the complex environment the SMEs are in and that the need for measuring and using the deviation in technological capability as a research variable has been justified. The practical implications are that the government policy for supports can be tailored to a growth stage and that the guidelines have been suggested to effectively use the government funding by encouraging the SMEs in a different growth stage to adapt to the customized policy.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.201-224
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• 2016

The main objective of this study is to identify and analyze the factors affecting technology innovation of the innovative IT SMEs. A research model is established based on the previous studies on the technology innovation of SMEs. The model consists of independent variables (Adhocracy culture, R&D capability, IT capability, Leadership, and Appraisal & Reward), an intermediate variable (Knowledge management), and dependent variables (product/service innovation and process innovation). Major research results can be summarized as follows: IT SMEs pursuing technology innovation should: (1) pay attention to innovation oriented culture, IT capability, and evaluation & compensation systems of the company; (2) recognize that knowledge management is an essential activity performed by the company; (3) strengthen the R&D capabilities of the company by not only exerting internal efforts but establishing cooperative network with various parties; and (4) resolve the decoupling problem of the evaluation & compensation system.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.171-180
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• 2023

This study is to develop a performance analysis model for SMEs.Based on similar performance indicators through previous studies, performance indicators for SMEs were rewritten.Through the Korean Journal Citation Index (KCI), 75 related data were classified and a comprehensive SME performance analysis model was developed.Performance analysis was divided into two axes and classified into tables.The horizontal axis is the spatial performance range, which is divided into three areas: performance management by department/function, integrated performance management for the entire organization, and governance performance management requiring policy feedback. The vertical axis is subdivided into short-term, mid-term, and long-term by time and growth stage, and is divided into three parts: technical performance according to technological input, economic performance as organizational performance, and social performance for policy utilization. Then, performance indicators were mapped to each column. As a result of the survey, 28% of technical performance was analyzed as a result of frequency analysis, and performance indicators were organized into five categories: IT, R&D, certification, patent, and innovation. Economic performance was divided into 29%, BSC, HRD, logistics, production quality management, financial support, asset management, etc. 6 categories, social performance 43%, ESG, marketing, export, policy support, consulting, cooperation, etc. 7 categories.Limitations of the study include the narrowness of the survey that derived only performance indicators despite being a meta-analysis, and the performance model was mapped and classified according to growth stage and support period.however Insufficiency of validity due to lack of evidence, performance indicators were developed, but there were limitations in utilization for practical use.