• Proceedings of the Korea Technology Innovation Society Conference
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• 1999.11c
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• pp.163-177
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• 1999

Science and technology are regarded as public goods and knowledge in traditional innovation theory. Also, linear innovation model and technological determinism are derived from its theory. This is changed, however, in new innovation theory. Social shaping of technology is emphasized and interaction, network, system characters of innovation process are involved in its theory.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.1
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• pp.185-195
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• 2020

This study is intended to determine that there is a casual relationship between technological innovation capability and new product development performance in small and mid-sized venture companies, and that the introduction of collaboration as a means to step up technological innovation capability will improve new product development performance. To achieve this, a survey was carried out to employees who are engaged in R&D work for small and mid-sized venture companies based in Korea, and the results were analyzed by regression analysis. The findings showed that technology strategy, technology learning and open innovation belonging to technological innovation capability in small and mid-sized venture companies had an effect on new product development performance. In other words, the selection of collaboration as a wider array of core strategies on new product development performance showed that collaboration was a strategy affecting new product development performance. In addition, the moderating role of technological innovation capability in boosting new product development performance through the introduction of collaboration showed that common collaboration had a positive effect on stepping up technology strategy, and collaboration as a core strategy had a positive effect on the size of new product development performance by strengthening technology strategy and open innovation.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.205-215
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• 2019

Researchers have confirmed the relationship between ambidexterity learning and innovation performance, but according to the resource-based theory, the relationship between ambidexterity learning and innovation performance is also affected by the internal resources of the organization. Internal resources are an important factor affecting the transformation of learning outcomes into performance. In addition, few scholars have pointed out whether different types of learning have different effects on different types of innovation performance. This study collects data from 170 High-tech enterprises in Shandong, china, and discusses the effects of exploitative learning and explorative learning on management innovation performance and technological innovation performance. This study further examines the moderating role of slack resource on the relationship between ambidexterity learning and innovation performance. Results show that ambidexterity learning has positive effect on innovation performance. Compared with exploitative learning, explorative learning has a greater impact on management innovation performance; compared with explorative learning, exploitative learning has a greater impact on technological innovation performances. Slack resource has positive moderating role between the relationship of exploitative learning, explorative learning and technology innovation performance. But Slack resource has no moderating role between the relationship of exploitative learning, explorative learning and management innovation performance.

• Journal of Technology Innovation
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• v.11 no.2
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• pp.71-89
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• 2003

Since technological innovation, adoption, and diffusion is a fundamental engine for a company's competitiveness and in turn a nation's industrial development, diffusion of technological innovation has been one of popular research themes to many researchers and scholars for decades. Especially, in today's knowledge-based economy, the IT technology became a fundamental infrastructure for a nation and thus their impact on a nation's economy has grown to be tremendous. This paper investigates the patterns of technological diffusion of 16 telecommunications services. Firstly, we identify the optimal diffusion model which represents the 15 IT innovation best in terms of goodness-of-fit. Secondly, based on the best model identified we cluster the 16 IT innovations according to their diffusion characteristics such as penetration rate and diffusion speed. Lastly, we categorize the innovations in terms of technology (voice-based innovation and data-based innovation) and demand (household-use and business-use) attributes, and compare their diffusion patterns and found some meaningful difference in diffusion patterns. We hope the result helpful to corporate managers as well as policy makers in relevant areas.

• Journal of Technology Innovation
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• v.7 no.1
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• pp.78-97
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• 1999

This study aims at analysing the role of crisis in the technological innovation. It has been taken for granted that organizational crisis has detrimental effects on the survival of organizations. But recent studies showed that organizational crisis has positive effects on organizational learning. They argued that crisis would provide a opportunities for reflecting the effectiveness of existing organizational routine. This study analyses the process and role of crisis in the development of CDMA mobile communication system and argues that crisis has effects on technological innovation when organizations have prior knowledge base which can be exploited in organizational learning. Secondly, it is argued that crisis can result in organizational transformation which facilitates organizational learning by integrating prior knowledge base and new knowledge. Thirdly, it is suggested that crisis may be good facilitator for organizational learning in case of competence-enhancing innovation rather than competence-destroying innovation.

• Proceedings of the Technology Innovation Conference
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• 2003.02a
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• pp.27-40
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• 2003

Though it has been recognized that the accumulation of technological knowledge has been the core competency to reinforce the competitiveness of individual firms and to raise the innovation capability of social and economic systems, only single or fragmentary variables, such as R&D expenditure, R&D stock, the number of researchers and the number of R&D employee have been adopted to measure the amount of technological knowledge. In this research, we use nine conventional technological knowledge measures under the conceptual structure of input-output framework to technological knowledge. Applying correlation and factor analysis, we examine the relationships among the nine proxy measures quantitatively and suggest the new approach for the calculation of technological knowledge index as a aggregated measure.

• Proceedings of the Technology Innovation Conference
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• 1997.07a
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• pp.195-221
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• 1997

This study examines the changing patterns of technological cooperation activities along technological development stages. Based on the longitudinal sample of 58 small and medium-sized companies in telecommunication equipment and device sectors, proposed hypotheses are tested using paired comparison t-test, ANOVA and multiple regression analysis. Major findings of this study are as follows. Along technological development stages, (1) patterns of technological cooperation activities differ in terms of the extent and diversity of use, partners, method, and motivation and (2) the impact of specific forms of technological cooperation activities on the firm's technological innovation varies. In addition, some managerial and policy implications are presented and future research directions are suggested.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.2
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• pp.91-100
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• 2018

Small and medium enterprises (SMEs) endeavor to overcome the adverse resource conditions and secure competitive advantage through technological innovation capability. Prior studies have focused on the overall or specific dimensions of technological innovation capability, and examined their performance impact. However, there has been less scholarly attention on the dynamic characteristics such as the relative importance of technological innovation capability or its performance impact at the different growth stages of a firm. In this vein, this study investigates the relationship between SME innovation capability and innovation performance at each growth stages of a firm. Based on the empirical analysis of manufacturing SMEs in Korea, we found that all dimensions of technological innovation capability had positive effects on innovation performance. However, each dimension of technological innovation capability had different effect on innovation performance by the growth stages. The planning capability can improve innovation performance at the growth and maturity stages. Manufacturing capability can have positive effect on innovation performance at the maturity stage. Both of new product development capability and commercialization capability contribute to innovation performance at all of the growth stages. This study suggests the guidelines for enhancing technological innovation capability at the different growth stages of SMEs. It also provides policy implications for the design and operation of growth-stage specific programs. Finally, the limitations of the research and future research directions are presented.

• Journal of Korea Technology Innovation Society
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• v.1 no.3
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• pp.285-298
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• 1998

Innovation with strategic interaction is to overcome the technological uncertainty and to create co-evolution through competition among individuals or organizations for the acceleration of innovation. The concept of innovation in the past was concentrated on cooperation rather than on competition for the efficient management of limited resources. However, in order to minimize the technological uncertainty, we need an innovation on the basis of competition between organizations. Competition stimulates technological adaptability. It is on the analogy of complex system. This is to satisfy consumers' needs, to transform the resources into a technology, and to apply for the development of new products and new technologies. If the emergence of a new technology threatens present technology and develops into a new level of technology through inter-relation, it becomes a mutually supporting technologies. When theses effects are simultaneously realized, it is possible for firm to have strategical innovation and to create a mutually evolutionary development. Furthermore, when the competition among more than two individuals or two organizations continues towards the same direction, the mutual competition and cooperation can be expected to create a synergy effect. The competitive environment should be composed of R&D, production, and consumers' choice. This will lead to interaction among organizations through strategic competition and cooperation. Intra-firm competition and Inter-firm competition are required to exist together.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.4
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• pp.125-136
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• 2016

The external R&D, which includes the adoption of the external technology and knowledge in addition to the internal R&D, is one of important factors for the innovation. Especially for small and medium-sized enterprises (SMEs), the external R&D has been considered as a key factor to carry out the innovation more efficiently due to the limitations of their resources and capacities. However, most of extant studies related to external R&D have focused on analyzing the influence of external R&D on innovation outputs or outcomes. Only a few studies have explored the impact of external R&D on the innovation efficiency. This study therefore investigates whether the external R&D effects the industry's innovation efficiency and productivity. On this study, we used Korean manufacturing industry data of SMEs from 2012 to 2014 and employed a global Malmquist productivity analysis technique, which is based on the Data Envelopment Analysis (DEA), to assess the innovation efficiency and productivity. Innovation performances of external R&D group and internal R&D group are compared. Then, the sectoral patterns of both innovation efficiency and productivity are analyzed with respect to the technological intensity, which is introduced by OECD. The results show that the gap of innovation efficiency between external and internal R&D groups has gradually decreased because of the continuous improvement of the external R&D group's performance, while the external R&D group lag behind the internal R&D group. In addition, patterns of the innovation efficiency and productivity change were different depending on the technological intensity, which means that the higher the technological intensity, the greater the effect of external R&D.