• Proceedings of the KAIS Fall Conference
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• 2009.12a
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• pp.17-20
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• 2009

최근 신생창업가의 네트워킹 활동이 성공적인 창업을 좌우한다는 선진연구 가능성이 주목받는 가운데, 본 연구는 창업가의 인지적 특성인 자아효능감과 심리적 특성인 모호성 인내가 네트워킹 활동에, 그리고 네트워킹 활동의 구성요소들이 기업성과에 미치는 영향에 대해 탐색적으로 연구하는데 그 주된 목적으로했다. 창업한지 3년 미만의 신생벤처기업의 창업가 156명의 설문지 응답을 표본으로 검증하였다. 연구결과, 첫째, 창업가의 자아효능감은 네트워킹과 창업성과에 각각 유의한 영향을 미치는 것으로 나타났다. 둘째, 모호성 인내는 네트워킹과 창업성과에 모두 유의한 영향을 미치지 않는 것으로 분석되었다. 셋째, 네트워킹 활동은 창업성과에 영향을 미치는 것으로 나타났으며, 네트워킹 활동의 구성요소 중 네트워크 빈도와 신뢰는 창업성과에 유의한 영향을 미치는데 반해, 네트워크 범위는 유의한 영향을 미치지 않는 것으로 분석되었다. 따라서 창업기업의 성과향상을 위해서는 창업가의 심리적 특성 보다는 인지적 특성인 자아효능감이 더 중요하다고 볼 수 있다. 또한 신생벤처 창업가의 네트워킹 활동의 경우 네트워크의 범위를 무리하게 확장하는 것은 기업성과 향상에 부정적 영향을 초래할 수 있다는 실무적 시사점과 함께 연구한계 및 연구방향을 제시하고 있다

• 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 Business Venturing and Entrepreneurship
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• v.18 no.6
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• pp.147-157
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• 2023

This paper investigates the financial factors affecting angel investors' investment decisions for 818 firms from 2009 to 2018 in the Korean venture investment market. We construct a quasi-experimental design using propensity scoring matching and compare the investment determinants between investment firms and matching firms. The main empirical findings are as follows. First, we find that angel investors are more likely to choose firms based on a firm's growth such as profit and assets rather than profitability or financial stability. In addition, we identify that they prefer the firm not only higher intangible assets but also higher R&D expenditures. Second, we find that angel investors consider both growth and activity ratios in the firms for over three years and have entered the mid-stage of startups. Overall, we confirm that the investment decision of angel investors mainly focuses on the venture startups' growth trend or future growth potential rather than the realized profitability or financial stability. We also infer that the possibility of performance creation is an important investment factor along with growth for the mid-stage startup.

• The Journal of the Korea Contents Association
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• v.20 no.4
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• pp.348-357
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• 2020

Discussions on entrepreneurship are increasing, but the methodology that can be applied to actual small to mid-sized businesses and venture firms is insufficient, and research on measuring achievement and application is lacking. In this regard, this paper analyzed actual proof on the relationship among entrepreneurial orientation, R&D capabilities, market share, and the creation of BSC future values that can be empirically applied to small to mid-sized businesses and venture firms. A factor analysis and hypothesis verification have been conducted with the SEM model utilizing SmartPLS 3.0 on the recent 7th year (2017) data from the Human Capital Corporate Panel (HCCP) of the Korea Research Institute for Vocational Education and Training. The actual proof analysis revealed that entrepreneurial orientation creates a positive influence on R&D capabilities and the creation of BSC, and also on market share, with R&D capabilities as a parameter. On the other hand, the relationship between entrepreneurial orientation and market share proved to be not statistically meaningful. Future value creation of BSC also could not mediate the relation between entrepreneurial orientation and market share. Therefore, this research has proven that a company must cultivate its personnel's R&D capabilities with their entrepreneurial orientation. Furthermore, it is a significant fact that BSC, the conventional measuring tool for performance management, could not mediate the relationship between entrepreneurial orientation and market share. Future companies aiming at innovation should consider developing a new index that could measure the corporate-level entrepreneurship and conduct performance management.

• Journal of Distribution Science
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• v.14 no.5
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• pp.81-89
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• 2016

Purpose - Prior researches have empirically focused on the effect of management consulting quality and consultant capability on entrepreneurial firms' performance. This study, however, focused on investigating the moderating role of absorptive capacity and resource capability between management consulting and entrepreneurial firms' performance. So, this study investigated the relationship among consulting quality, consultant capability, absorptive capacity, resource capability, and entrepreneurial firms' performance from the resource based view (RBV). Especially, this study focused on the mediating role of absorptive and resource capability in relational structure of entrepreneurial firms' dimensions. Research design, data, and methodology - In this study, research hypotheses and model are established by the prior researches from the fields of strategic management and entrepreneurial behavior. Concretely, H1~H4 are the relationship between consulting (consulting quality, consultant capability) and innovation (absorptive capacity, resource capability); H5 is the relationship between absorptive capacity and resource capability; and H6~H7 are the relationship between innovation (absorptive capacity, resource capability) and management performance. The data was collected 207 copies from entrepreneurial firms in South Korea. These firms were established in January 2014 and maintained by November 2015 in high-tech industry. The questionnaire was consisted of five dimensions; consulting quality, consultant capability, absorptive capacity, resource capability, and management performance. Each dimension measured multi items on a 5-point Likert scale. The hypotheses and research model are analyzed using structural equation modeling (SEM) with AMOS 22. Results - The results of this study are as follows. 1) Consulting quality significantly influenced on the absorptive capacity of entrepreneurial firms. 2) But, consultant capability did not influence on the absorptive capacity of entrepreneurial firms. 3) Consulting quality and consultant capability significantly influenced on the resource capability of entrepreneurial firms. 4) Absorptive capacity significantly influenced on the resource capability of entrepreneurial firms; 5) Absorptive capacity did not significantly influence on the management performance of entrepreneurial firms. 6) Resource capability, however, significantly influenced on the management performance of entrepreneurial firms. By these results, absorptive capacity of entrepreneurial firms had a mediating role partly among consulting quality, consultant capability, and management capability. The resource capability of entrepreneurial firms had a mediating role among consulting quality, consultant capability, and management capability, perfectly. Conclusions - According to this study, the high level of consulting quality and consultant capability may enforce the resource capability of entrepreneurial firms. It means, practically, that external knowledge is a driver for innovation, and then the innovation effects on the management performance of entrepreneurial firms. So, at the initial stage, the management consulting programs are very important to entrepreneurial firms and should be conceived as an essential element. This study may contribute to the advancement of academic in field of new start business, small business, or venture business based on resources, especially the role of absorptive capacity and resource capability between consulting programs and management performance. However, this study has some limitations. They are the measurement of consulting quality's items, cross-sectional research, and the limitation of concept and industry.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.1
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• pp.107-118
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• 2014

enterprise to strengthen growth and technological competitiveness through close cooperation with universities and research institutions. The Purpose of this study is to present how to seek more participation in industry-university cooperation from Industry, University, Research Institute, and Government (I-U-R-G) using success factor analysis of "Excellent Industry-University Cooperation Coordinator". The findings can be summarized as follows. First, it is indicated that Coordinator' business aggressiveness positively affect the volume of business and technology DB excavation. Second, it is indicated that the number of agency staff positively affect the volume of business, the number of Project derived by Coordinator and new professors participation rate. Third, it is indicated that the Fellowship of the Enterprises positively affect the volume of business, technology DB excavation and new professors participation rate. Lastly, it is indicated that organization maintains, center chapter leadership, and local government'commitment don't have positive effect on the performance of I-U Cooperation of SMEs.. Therefore, in order to improve the performance of cooperation technology development projects that affect the technological competitiveness of SMEs, I-U cooperation coordinator needs more continuous attention and support from Industry, University, Research institution, and Government.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.6 no.2
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• pp.97-113
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• 2011

While the role of universities in the modern society has long been a key agenda of discussion, Korean universities have recently tried to get good results in league tables, mostly published by major media. Although the criteria of evaluation are developed through benchmarking and thoughtful discussion, they are still in the process of development and fragile to the question whether they really suggest the future direction of universities. The study seeks to find whether the number of UIC(university industry co-authored articles), as suggested by a few scholars, is meaningful and feasible as an alternative or complement to current performance indices of universities. The adoption of UIC implicitly means that a key role of university should be developing and diffusing knowledge to the society by working with industry participants. We found limited evidence that the index of UIC has meaningful discrepancy with current indices for research, which opens up a new discussion.

• Industry Promotion Research
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• v.6 no.2
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• pp.21-35
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• 2021

Research on the introduction aspect of research has focused on the direction, performance expectations, costs, regulations, and risks of RPA introduction. Future research in terms of introduction has shown that in addition to organizational research, technical and environmental research needs to be activated. The application case studies have been conducted on actual entities, application tasks and application occupations. Future research on application case aspects seems to require research on RPA technical post-use performance for actual companies, application tasks, and applied jobs. The study of market analysis aspects has shown that the formation stage of the market and the prediction of future markets. Future research will be possible in connection with AI and the Fourth Industrial Revolution to study how future markets will develop. The acceptance aspect of research can be said to be a relatively poor field of research compared to other subjects. If research on acceptance aspects is further activated in the future, it will contribute to the development of new technology acceptance theory and suggest implications for RPA introduction, RPA application, and RPA market revitalization.

• Information Systems Review
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• v.8 no.3
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• pp.245-259
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• 2006

In order to utilize BSC as an operational tool for communicating strategies across the hierarchies of the organization, a growing number of companies have tried to link BSC processes with other PI tools. Company D has carried out the SEM project to identify the causal structure between innovation activities and performance management in 2005 and 2006. The company synthesizes BSC and 6 Sigma methodologies at the BU level, and the new process made it possible to manage performances and make decision more "realistic" on the basis of information technologies. We expect that this study provide organizations, which have difficulties streamlining the performance management processes at the strategic level and those of operational level, with implications for realizing more "execution-oriented" RTE.

• Journal of Venture Innovation
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• v.4 no.3
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• pp.125-139
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• 2021

As the 4th industrial revolution progresses, new technologies and services are being born, growing, and maturing. Now, beyond the mobile era, the metaverse is being discussed as a new paradigm. Therefore, in this study, in preparation for the metaverse era, we tried to analyze what factors have an important influence when consumers want to use new technologies. In particular, the research was conducted focusing on how the context in which consumers use the technology changes depending on whether they are B2C or B2B. For this, augmented reality (AR) was selected in the B2C context by linking the research subject with the metaverse era, and the smart factory was selected in the B2B context. The research model for the analysis was established by deriving and setting common influence variables by reflecting the characteristics of the research target technology based on the modified extended unified theory of acceptance and use of technology. A survey was conducted for empirical analysis, and 150 AR and 150 smart factory subjects were analyzed. The empirical study results are as follows. The relationship between performance expectancy and intention to use, technology readiness and intention to use was found to have a significant positive (+) effect on both AR and smart factory. On the other hand, it was found that effort expectancy, social influence, and trust had a positive (+) effect on intention to use only in AR. Only in smart factory, facilitating conditions had a significant positive (+) effect on intention to use. It was also found that the perceived risk had a significant negative (-) effect on the intention to use only in the smart factory. The results of this study are academically significant in that we empirically test that influencing factors of technology use varies depending on the context in which it is used by consumers. In practice, it provided an implication of what to focus on first is being implemented.