• 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.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.99-104
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• 2015

The production management is one of the essential capabilities of the small and medium-sized enterprises (SMEs) in the information technology sector (IT). Therefore, this study empirically analyzed the effects of such important factors as external information network diversity and manufacturing capability on IT SMEs' production management capability. Based on the 310 data collected from Korean SMEs in the IT sector, the ordinary least squares regression results from this study by using the SPSS version 22 have empirically shown that IT SMEs' external information network diversity has a positive and significant effect on their production management capability and this effect is fully mediated by their manufacturing capability. These findings provide a meaningful implication that the positive impact of IT SMEs' external information network diversity is linked to their production management capability through their manufacturing capability.

• International Journal of Quality Innovation
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• v.2 no.2
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• pp.34-45
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• 2001

This study uses MATLAB as a programming tool and applies the bootstrap method to process capability analysis. The advantage of using MATLAB in bootstrap method is to make the bootstrap method much easier to implement and apply particularly in process capability analysis. An example is provided to further illustrate the easy use of MATLAB in bootstrap method.

• Journal of Digital Convergence
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• v.10 no.8
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• pp.97-110
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• 2012

This study aims at investigating empirical relationships among technology management capability(TMC), technology commercialization(TC), and technology acquisition strategy(TAS) in SMEs. First, this study identifies the empirical effects of TMC on TC. Second, this study also identifies whether TAS contributes to increasing the effect of TMC on TC or not. The analyses of the data showed TMC was positively related to TC. Second, when technology acquisition strategies were high, the relationships between TMC and TC were highly related.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.1
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• pp.167-184
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• 2020

This study analyzed the effects of information orientation and technology commercialization ability on technological performance of corporate workers. Information Orientation consisted of information technology capability, information management ability, information behavior and value, and technology commercialization capability consisted of productization capability, production capability, and marketing capability as sub-variables, and technology accumulation capacity was used as a coordinating variable. An empirical analysis was performed on 349 online and offline questionnaires collected from corporate employees. Analysis results using SPSS v22.0 and Process macro v3.4 First, information orientation and technical performance were found to have a significant effect.In addition, information orientation had a significant effect on technology commercialization capability. The magnitude of the influence on the productive capacity and the productive capacity in the variable of competency was in the order of information technology ability, information management ability, information behavior and value, but the influence on marketing capability was different from the previous results. Information management ability and information technology ability were in order. Second, the product commercialization capability, production capability, and marketing ability of technology commercialization ability had a significant effect on technology performance independently of information orientation. Third, the information technology ability and information management ability had a significant influence on the technical performance, but the indirect effect through the commercialization ability and marketing ability in information behavior and value was significant, the indirect effect of transit was not significant. Fourth, only the interaction terms of production capacity and technology accumulation capacity were significant among the sub-variables of technology commercialization capacity, and technology accumulation capacity, commercialization capacity, and marketing ability were not significant. Therefore, the relationship between productive capacity and technological performance can be interpreted as lower in firms with high technology accumulating ability than in lower firms, subsequent studies will require the introduction of other independent variables, models through the introduction of parameters and control variables.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2008.10a
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• pp.152-156
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• 2008

This study examines the relationships between R&D investment and Market value of Firms using data of small and medium enterprises (SMEs) in the manufacturing sector of Korea. In particular, this paper investigates the role of technology innovation system in the impact of R&D investment on firm's Market value of Firms. Findings from the previous studies on the relationship between R&D investment and Market value of Firms are positive relationship. Main of the previous studies demonstrated a positive impact of R&D investment on Market value of Firms. On the other hand, some recent studies showed this is not the case. Those studies persisted that the technological innovation system for managing and efficiently utilizing R&D investment and capability has to be built in order for R&D investment to give rise to increases in Market value of Firms. According to the Oslo manual by OECD, it is assumed that a technology innovation system can becharacterized as three factors :capability for technological innovation, capability for technology commercialization, capability for technological innovation management. This study divides sample firms into two groups using the "Inno-Biz" certificate system of the Korean Small and Medium Business Administration (SMBA): Inno-Biz firms Vs. Not Inno-Biz firms. The system selects innovative SMEs denoted as "Inno-Biz" using the above factors as criteria. The results revealed that the technology innovation system has the moderating effect to R&D investment on Market value of Firms.

• Journal of Digital Convergence
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• v.7 no.1
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• pp.99-109
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• 2009

Recently, many enterprises are interest in implementing Radio Frequency IDentification (RFID). However, they have some difficulty in implementing RFID because of incompleteness of RFID technology and uncertainty of Return on Investment (ROI). Even though usefulness of RFID are recognized, many enterprises are just interested in planning of RFID rather than implementation of RFID. Among successful factors of RFID implementation, Information Technology (IT) capability is the most important one. If enterprises have systematic IT capability, it would make positive attitude to implement RFID. In addition, it will provide trust about RFID and promote adoption of RFID implementation. This study, therefore, empirically analyzed the relationships of trust, attitude, IT capability, and intention to RFID adoption using Partial Least Squares (PLS) approach. The result show useful guidelines and practical implication in implementing RFID.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.10-20
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• 2017

The proportion of software in the automotive industry is steadily increasing due to the rapid technological development of automobile E/E parts. Because the automotive E/E technology is now on the basis of intelligent automobile and advanced safety automobile technology. The purpose of this study is to investigate the effect of organizational capability (organizational resource capability and management capability), process capability (process capability, customer Requirement management capability), performance dimension (motivation, participation level). In this study, we conducted questionnaires and statistical analysis on engineers (members of the Korea Advanced Automotive Technology Association) who perform research and development activities in the R&D organization of the automotive E/E part in South Korea. ANOVA is applied for the verification of the difference in performance measured by organizational capability, process maturity, and motivation participation level according to company characteristics (level of processing : supply chain configuration, annual sales, total SW development ratio). According to the results of this study, in order to improve the performance of ASPICE or ISO 26262-related consulting project, a different consulting approach strategy considering the characteristics of organization and personnel is needed. In summary, the analysis results for the three main treatment levels are as follows. The difference in organizational capacity, process capability and performance was found to be statistically significant according to supply chain configuration and annual sales, but it was found that the difference of response according to the proportion of total SW was not significant.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.5
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• pp.2142-2148
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• 2011

Managers in Business Incubator(BI) perform an important role to success of BI, but researches about what area of capability need to improve are limited. This study investigates the perceived gap between current capability and required capability of BI managers from BI managers' and CEOs' perspectives with a survey method. From the BI managers' perspective, improvement of most capabilities, such as financing support, R&D support and understanding of patents, and understanding of business of firms in BI, is needed. From CEOs' perspective, improvement of capability in financing and marketing support is needed.

• Journal of Distribution Science
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• v.20 no.8
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• pp.33-46
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• 2022

Purpose: This study aims to understand the impact of e-commerce's advantage among SME's digital channel in Malaysia. To achieve the objective, this study used Technology, Organization, Environment (TOE) framework, Diffusion of Innovation (DOI) theory and Resource-Based View (RBV) theory. Research design, data and methodology: This study is quantitative method involve 195 SMEs online business in Malaysia. The integrated framework highlights the conceptual insight in multidimensional technology context (i.e. relative advantage, compatibility, and complexity); organizational context (i.e. top management support, innovation capability, branding capability, market-sensing capability, and human and organization capability); and environmental context (i.e. government support and supplier pressure). Results: The findings revealed that complexity, branding capability, human and organization capability, government support, and supplier pressure have significant positive relationship with e-commerce advantage. Meanwhile, relative advantage, compatibility, innovation capability, and market-sensing capability have significant negative relationship with e-commerce advantage. However, top management support has found no significant relationship with e-commerce advantage. Conclusions: The extended theoretical framework dimension improves existing knowledge on e-commerce advantage as well as the prospect of SMEs digital channel.