• Asia pacific journal of information systems
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• v.26 no.4
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• pp.477-488
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• 2016

New technology development capability plays a key role in making small- and medium-sized enterprises (SMEs) increase their innovation performance, such as in product or process innovation. To examine the influencing factors of SMEs' new technology development capability, this study empirically analyzes the mediating effects of SMEs' process design capability and product interior design capability on the positive association between their external information network diversity and new technology development capability. This study performs the ordinary least squares regression on a sample of 2,000 South Korean SMEs. Results reveal that SMEs' process design capability fully mediates, and product interior design capability partially mediates the positive association between the external information network diversity and new technology development capability.

• Korean small business review
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• v.32 no.1
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• pp.65-87
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• 2010

With the advent of knowledge-based society, the revitalization of technological innovation type SMEs, termed "inno-biz" hereafter, has been globally recognized as a government policymakers' primary concern in strengthening national competitiveness, and much effort is being put into establishing polices of boosting the start-ups and innovation capability of SMEs. Especially, in that the inno-biz enables national economy to get vitalized by widening world markets with its superior technology, and thus, taking the initiative of extremely competitive world markets, its growth and development has greater significance. In the case of Korea, the government has been maintaining the policies since the late 1990s of stimulating the growth of SMEs as well as building various infrastructures to foster the start-ups of the SMEs such as venture businesses with high technology. In addition, since the enactment of "Innovation Promotion Law for SMEs" in 2001, the government has been accelerating the policies of prioritizing the growth and development of inno-biz. So, for the sound growth and development of Korean inno-biz, this paper intends to offer effective management strategies for SMEs and suggest proper policies for the government, by researching into the effect of technological innovation capability and technology commercialization capability as the primary business resources on business performance in Korean SMEs in the light of market information orientation. The research is carried out on Korean companies characterized as inno-biz. On the basis of OSLO manual and prior studies, the research categorizes their status. R&D capability, technology accumulation capability and technological innovation system are categorized into technological innovation capability; product development capability, manufacturing capability and marketing capability into technology commercialization capability; and increase in product competitiveness and merits for new technology and/or product development into business performance. Then the effect of each component on business performance is substantially analyzed. In addition, the mediation effect of technological innovation and technology commercialization capability on business performance is observed by the use of the market information orientation as a parameter. The following hypotheses are proposed. H1 : Technology innovation capability will positively influence business performance. H1-1 : R&D capability will positively influence product competitiveness. H1-2 : R&D capability will positively influence merits for new technology and/or product development into business performance. H1-3 : Technology accumulation capability will positively influence product competitiveness. H1-4 : Technology accumulation capability will positively influence merits for new technology and/or product development into business performance. H1-5 : Technological innovation system will positively influence product competitiveness. H1-6 : Technological innovation system will positively influence merits for new technology and/or product development into business performance. H2 : Technology commercializing capability will positively influence business performance. H2-1 : Product development capability will positively influence product competitiveness. H2-2 : Product development capability will positively influence merits for new technology and/or product development into business performance. H2-3 : Manufacturing capability will positively influence product competitiveness. H2-4 : Manufacturing capability will positively influence merits for new technology and/or product development into business performance. H2-5 : Marketing capability will positively influence product competitiveness. H2-6 : Marketing capability will positively influence merits for new technology and/or product development into business performance. H3 : Technology innovation capability will positively influence market information orientation. H3-1 : R&D capability will positively influence information generation. H3-2 : R&D capability will positively influence information diffusion. H3-3 : R&D capability will positively influence information response. H3-4 : Technology accumulation capability will positively influence information generation. H3-5 : Technology accumulation capability will positively influence information diffusion. H3-6 : Technology accumulation capability will positively influence information response. H3-7 : Technological innovation system will positively influence information generation. H3-8 : Technological innovation system will positively influence information diffusion. H3-9 : Technological innovation system will positively influence information response. H4 : Technology commercialization capability will positively influence market information orientation. H4-1 : Product development capability will positively influence information generation. H4-2 : Product development capability will positively influence information diffusion. H4-3 : Product development capability will positively influence information response. H4-4 : Manufacturing capability will positively influence information generation. H4-5 : Manufacturing capability will positively influence information diffusion. H4-6 : Manufacturing capability will positively influence information response. H4-7 : Marketing capability will positively influence information generation. H4-8 : Marketing capability will positively influence information diffusion. H4-9 : Marketing capability will positively influence information response. H5 : Market information orientation will positively influence business performance. H5-1 : Information generation will positively influence product competitiveness. H5-2 : Information generation will positively influence merits for new technology and/or product development into business performance. H5-3 : Information diffusion will positively influence product competitiveness. H5-4 : Information diffusion will positively influence merits for new technology and/or product development into business performance. H5-5 : Information response will positively influence product competitiveness. H5-6 : Information response will positively influence merits for new technology and/or product development into business performance. H6 : Market information orientation will mediate the relationship between technology innovation capability and business performance. H7 : Market information orientation will mediate the relationship between technology commercializing capability and business performance. The followings are the research results : First, as for the effect of technological innovation on business performance, the technology accumulation capability and technological innovating system have a positive effect on increase in product competitiveness and merits for new technology and/or product development, while R&D capability has little effect on business performance. Second, as for the effect of technology commercialization capability on business performance, the effect of manufacturing capability is relatively greater than that of merits for new technology and/or product development. Third, the mediation effect of market information orientation is identified to exist partially in information generation, information diffusion and information response. Judging from these results, the following analysis can be made : On Increase in product competitiveness, directly related to successful technology commercialization of technology, management capability including technological innovation system, manufacturing capability and marketing capability has a relatively strong effect. On merits for new technology and/or product development, on the other hand, capability in technological aspect including R&D capability, technology accumulation capability and product development capability has relatively strong effect. Besides, in the cast of market information orientation, the level of information diffusion within an organization plays and important role in new technology and/or product development. Also, for commercial success like increase in product competitiveness, the level of information response is primarily required. Accordingly, the following policies are suggested : First, as the effect of technological innovation capability and technology commercialization capability on business performance differs among SMEs; in order for SMEs to secure competitiveness, the government has to establish microscopic policies for SMEs which meet their needs and characteristics. Especially, the SMEs lacking in capital and labor are required to map out management strategies of focusing their resources primarily on their strengths. And the government needs to set up policies for SMEs, not from its macro-scaled standpoint, but from the selective and concentrative one that meets the needs and characteristics of respective SMEs. Second, systematic infrastructures are urgently required which lead technological success to commercial success. Namely, as technological merits at respective SME levels do not always guarantee commercial success, the government should make and effort to build systematic infrastructures including encouragement of M&A or technology trade, systematic support for protecting intellectual property, furtherance of business incubating and industrial clusters for strengthening academic-industrial network, and revitalization of technology financing, in order to make successful commercialization from technological success. Finally, the effort to innovate technology, R&D, for example, is essential to future national competitiveness, but its result is often prolonged. So the government needs continuous concern and funding for basic science, in order to maximize technological innovation capability. Indeed the government needs to examine continuously whether technological innovation capability or technological success leads satisfactorily to commercial success in market economic system. It is because, when the transition fails, it should be left to the government.

• Asia pacific journal of information systems
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• v.23 no.3
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• pp.25-53
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• 2013

This study analyzes the effect of Computer Aided Innovation (CAI) to improve R&D Capabilities empirically. Survey was distributed by e-mail and Google Docs, targeting CTO of 235 SMEs. 142 surveys were returned back (rate of return 60.4%) from companies. Survey results from 119 companies (83.8%) which are effective samples except no-response, insincere response, estimated value, etc. were used for statistics analysis. Companies with less than 50billion KRW sales of entire researched companies occupy 76.5% in terms of sample traits. Companies with less than 300 employees occupy 83.2%. In terms of the type of company business Partners (called 'partners with big companies' hereunder) who work with big companies for business occupy 68.1%. SMEs based on their own business (called 'independent small companies') appear to occupy 31.9%. The present status of holding IT system according to traits of company business was classified into partners with big companies versus independent SMEs. The present status of ERP is 18.5% to 34.5%. QMS is 11.8% to 9.2%. And PLM (Product Life-cycle Management) is 6.7% to 2.5%. The holding of 3D CAD is 47.1% to 21%. IT system-holding and its application of independent SMEs seemed very vulnerable, compared with partner companies of big companies. This study is comprised of IT infra and IT Utilization as CAI capacity factors which are independent variables. factors of R&D capabilities which are independent variables are organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability. The highest average value of variables was 4.24 in organization capability 2. The lowest average value was 3.01 in IT infra which makes users access to data and information in other areas and use them with ease when required during new product development. It seems that the inferior environment of IT infra of general SMEs is reflected in CAI itself. In order to review the validity used to measure variables, Factors have been analyzed. 7 factors which have over 1.0 pure value of their dependent and independent variables were extracted. These factors appear to explain 71.167% in total of total variances. From the result of factor analysis about measurable variables in this study, reliability of each item was checked by Cronbach's Alpha coefficient. All measurable factors at least over 0.611 seemed to acquire reliability. Next, correlation has been done to explain certain phenomenon by correlation analysis between variables. As R&D capabilities factors which are arranged as dependent variables, organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability turned out that they acquire significant correlation at 99% reliability level in all variables of IT infra and IT Utilization which are independent variables. In addition, correlation coefficient between each factor is less than 0.8, which proves that the validity of this study judgement has been acquired. The pair with the highest coefficient had 0.628 for IT utilization and technology-accumulating capability. Regression model which can estimate independent variables was used in this study under the hypothesis that there is linear relation between independent variables and dependent variables so as to identify CAI capability's impact factors on R&D. The total explanations of IT infra among CAI capability for independent variables such as organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability are 10.3%, 7%, 11.9%, 30.9%, and 10.5% respectively. IT Utilization exposes comprehensively low explanatory capability with 12.4%, 5.9%, 11.1%, 38.9%, and 13.4% for organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability respectively. However, both factors of independent variables expose very high explanatory capability relatively for technology-accumulating capability among independent variable. Regression formula which is comprised of independent variables and dependent variables are all significant (P<0.005). The suitability of regression model seems high. When the results of test for dependent variables and independent variables are estimated, the hypothesis of 10 different factors appeared all significant in regression analysis model coefficient (P<0.01) which is estimated to affect in the hypothesis. As a result of liner regression analysis between two independent variables drawn by influence factor analysis for R&D capability and R&D capability. IT infra and IT Utilization which are CAI capability factors has positive correlation to organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability with inside and outside which are dependent variables, R&D capability factors. It was identified as a significant factor which affects R&D capability. However, considering adjustable variables, a big gap is found, compared to entire company. First of all, in case of partner companies with big companies, in IT infra as CAI capability, organization capability, process capability, human resources capability, and technology capability out of R&D capacities seems to have positive correlation. However, collaboration capability appeared insignificance. IT utilization which is a CAI capability factor seemed to have positive relation to organization capability, process capability, human resources capability, and internal/external collaboration capability just as those of entire companies. Next, by analyzing independent types of SMEs as an adjustable variable, very different results were found from those of entire companies or partner companies with big companies. First of all, all factors in IT infra except technology-accumulating capability were rejected. IT utilization was rejected except technology-accumulating capability and collaboration capability. Comprehending the above adjustable variables, the following results were drawn in this study. First, in case of big companies or partner companies with big companies, IT infra and IT utilization affect improving R&D Capabilities positively. It was because most of big companies encourage innovation by using IT utilization and IT infra building over certain level to their partner companies. Second, in all companies, IT infra and IT utilization as CAI capability affect improving technology-accumulating capability positively at least as R&D capability factor. The most of factor explanation is low at around 10%. However, technology-accumulating capability is rather high around 25.6% to 38.4%. It was found that CAI capability contributes to technology-accumulating capability highly. Companies shouldn't consider IT infra and IT utilization as a simple product developing tool in R&D section. However, they have to consider to use them as a management innovating strategy tool which proceeds entire-company management innovation centered in new product development. Not only the improvement of technology-accumulating capability in department of R&D. Centered in new product development, it has to be used as original management innovative strategy which proceeds entire company management innovation. It suggests that it can be a method to improve technology-accumulating capability in R&D section and Dynamic capability to acquire sustainable competitive advantage.

• Journal of Technology Innovation
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• v.12 no.2
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• pp.1-19
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• 2004

This paper focuses on the significant issues of technological capability development of latecomer firms, and government policies enabling such firms to attain certain level of technological capability. The survey and case studies of manufacturing firms in Thailand were conducted to substantiate and investigate the process of technological capability development of latecomer firms. The analysis portrays a dynamic view of technological capability development that comprises three key elements namely strategic capability, internal capability, and external linkage capability. The paper, subsequently, discusses and suggests a tentative taxonomy of government policies and measures to support firms' technological capability development.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.240-247
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• 2021

As competition among companies has intensified and the life cycle of products has been shortened, strong innovation is needed to meet consumers' needs. In addition, it is necessary to shorten the life cycle of the product and reduce the time required for technology development for the competitive advantage of the product. In particular, venture companies where new technologies and ideas are important require more innovative capabilities than others companies. Therefore, this study analyzed the impact of technology innovation capabilities (product development process capability, human resource capability and financial capability) on sales by technology development for small and medium venture companies and analyzed moderating effect of technology development period on the relationship between technology innovation capabilities and sales by technology development. The data of 'Small and Medium Business Technology Statistics' collected by the government every year were used for analysis. Technology-intensive ventures were extracted from this data. In addition, the moderating effect was analyzed through hierarchical regression analysis. This study shows that product planning capability, test capability, and R&D expenditure have a positive impact on sales by technology development. In this study, the product development period showed a positive moderating effect on product development capability and sales performance. On the other hand, the product development period showed a negative moderating effect on R&D expenditure and sales by technology development.

• Journal of Korea Trade
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• v.27 no.5
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• pp.63-90
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• 2023

Purpose - This study aims to identify the relationship between logistics companies' Logistics 4.0 technology adoption with logistics innovation capability and logistics performance, and analyze the mediating effect of logistics innovation capability and the mediated moderation effect of firm size through logistics innovation capability. Design/methodology - Research models and hypotheses were established based on prior research related to Industry 4.0, Logistics 4.0, logistics technology, logistics performance, and firm size. The survey was conducted on the employees of logistics companies, and exploratory factor analysis, reliability analysis, confirmatory factor analysis, discriminant validity analysis, structural equation model analysis, mediation effect, moderation effect, and the mediated moderation effect analysis were performed. Findings - The adoption of Logistics 4.0 technology was found to significantly affect logistics innovation capability and logistics performance. Logistics innovation capability was found to significantly affect logistics performance. Moreover, logistics innovation capability was found to have a significant mediation effect on the relationship between Logistics 4.0 technology adoption and logistics performance. The moderation effect based on firm size was found to have a partial effect on logistics innovation capability and logistics performance, but the mediated moderation effect was not significant. Originality/value - This study is meaningful in that it empirically analyzed the relationship of Logistics 4.0 technology adoption with logistics innovation capability and logistics performance, the mediating effect of logistics innovation capability, the moderation effect of firm size, and the mediated moderation effect of firm size, which were not addressed in previous studies.

• Journal of Internet Computing and Services
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• v.19 no.6
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• pp.113-123
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• 2018

This study was conducted to empirically verify the effect of the technological entrepreneurship, network capability and technological innovation capability on the innovative performance of technology-based start-ups with the aim of determining the success factors of technology-based start-ups by defining the success of technology-based start-ups as the innovative performance through technology innovation activities. For the significance of this study, it suggested the importance of technology innovation as a survival strategy of technology-based start-ups, verified the dimensions, relationship and roles of technological entrepreneurship, network capability and technology innovation capability, thereby proving the theoretical expansion. This study has determined the success factors of technology-based start-ups and thereby suggested the strategic directions for enhancing the competitiveness of technology-based start-ups.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.235-252
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• 2022

This study empirically identified how technological innovation capability and technological commercialization capability affect management performance in the metropolitan area of Ppuri corporation. As results of the research analysis, First the average company performance in the field of new materials and platform processing technology was higher than that of the metal-oriented processing technology field. Second, technological innovation capability variables are included as R&D capability, technological innovation regime, and technological accumulation capability are shown the statistically significant on non-financial performance. Commercialization capability, producing capability, and marketing capability variable are statistically significant on financial performance.

• Journal of Information Technology Services
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• v.7 no.2
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• pp.25-39
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• 2008

As the amount of IT investment and the complexity of information systems in public agencies have been increased, efficient and structured management of IT systems is more emphasized. For the Korean government. ITA (Information Technology Architecture) is one of the core parts of the e-Government initiative. Also introducing and managing ITA in organizations is mandated by law in Korea. The objective of the paper is to study whether using ITA in public agencies is related with their IT capability and IT performance or not. A questionnaire had been designed for the purpose, and a survey had been performed on Korean public agencies. The survey results show that using ITA has influence on relation and technology capability. However, ITA does not influence on human capability and IT performance. The reason why using ITA is linked to relation and technology capability is that ITA includes relationship between both business and technology. Also ITA provides a technical reference model (TRM) and standard profile (SP), so it has influence on technology capability.

• Journal of the Korea Safety Management & Science
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• v.20 no.3
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• pp.47-63
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• 2018

The purpose of this research was to test the effects of technological innovation capability and technology commercialization capability on new product performance of the companies in electronics industry and the moderating role of perceived usefulness of government R&D support. For this study, Research data were collected through questionnaire instruments from the sample of 346 employees in 17 electronics companies of metropolitan area. The 305 sample was selected and analyzed by hierarchical regression technique. The results showed that technological innovation capability and technology commercialization capability had a positive effect on new product performance. And also found out perceived usefulness of government R&D support had the moderate roles between only technical innovation system our of three technological innovation capability factors and new product performance, and also between only manufacturing capability our of three technological commercialization capability factors and new product performance. With the research results, the implications for electronics company were discussed, and the directions for future research were suggested.