• Journal of Korea Technology Innovation Society
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• v.21 no.2
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• pp.767-787
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• 2018

Technology-driven innovation and job-creation has each been the subject of much scholarly attention, but have largely been considered separately rather than in conjunction with each other. While the previous literature on economics pinpointed the macro effects on industry-level, this study explores the micro-level comparisons on innovation sources over the employment and financial performances. The PSM (propensity-score matching) analysis presents that firms, involved in an inward technology, tend to have higher employees with dominant technology capabilities than in-house R&D firms. The in-house R&D firms, on the contrary, have superior financial performances, suggesting that external technology commercialized firms suffer from low transformative efficiency. The mediation test analysis corroborates that the external technology-driven innovation induces more human resources in internalizing the exogenous technology. The positive relationship between R&D innovation and employment allow verification of the government's intervention in the promotion of technology commercialization in public sector. On the other hand, it also signals that the policy needs to enhance the recipient firms' commercializing capacity rather than a 'one-hit' transaction.

• Journal of Technology Innovation
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• v.23 no.2
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• pp.55-80
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• 2015

This Study's topic is to study on the effects of core competencies as such as leadership, strategic competences' influence towards the university-industry cooperation on technology transfer and education performances. First, the existing studies and literatures have been reviewed. Second, the nationwide surveys were conducted. In results, the leadership competence did not have any impact on the operation performances. Strategic competence did not have any impact on the technology transfer, but it influenced the education performance. Human resource competence also did not have any influence on the managing performances, but it has been analyzed that the R&D competence had an influence over the technology transfer part of the managing performance. The University-Industry Cooperations create an opportunity and secures competencies for the enterprise, it also enhances the R&D competency of University and provides supports in nurturing the human resources. Especially, the strategic competency amongst the independent variables has influenced the education performance.

• Journal of Korea Technology Innovation Society
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• v.12 no.1
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• pp.137-164
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• 2009

As a means to address the modes of developing institutional evaluation system aimed at improving performances of GRIs, this study looked into the influential relations where institutional evaluation system has an impact on receptivity of evaluation outcomes and performances of institutes optimize their performances. After making analysis, it was confirmed that the National Research Council for Economics, Humanities and Social Sciences' institutional evaluation system for GRIs had a positive (+) influence on performances of research institutes, and receptivity of evaluation outcomes is related to performances of research institutes. In addition, it was also confirmed that institutes with high performances, in general, have high level of receptivity of evaluation outcomes along with positive recognition of institutional evaluation system. However, weaknesses of the Council's institutional evaluation system for GRIs resulted in low level of receptivity amongst GRIs, and thus there is limitation on the government and the Council in the active utilization of evaluation outcomes. Finally, it addressed the limitations and areas for improvement in relation to research outcomes.

• Journal of Technology Innovation
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• v.12 no.1
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• pp.161-188
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• 2004

The objective of this research is to evaluate the Creative Research Initiative Program (CRI), a national R＆D program funded by the Ministry of Science ＆ Technology in Korea. The evaluation of CRI covers the following research questions; 1) Have it set a unique position and characteristic distinguished from other government-funded R＆D programs\ulcorner 2) Are the achievements of the program relevant to its goal\ulcorner 3) What is its performances and how much is it achieved its goal\ulcorner The results are the followings; 1) CRI is perceived as a pure basic research, distinguished from other national basic research programs, such as the Coal Oriented Basic Research Program and the SRC and ERC. 2) CRI is a well-adapted R＆D program in confront of the environmental changes and R＆D needs, as well as follows the planned R＆D areas. 3) CRI have performed well in the raising-up world-class research leaders and the nation-wide diffusion of creative R＆D culture, while it got few performances in the overcoming the limitation of the existing technologies and the independent development of original key technologies for future industries. However, the duration of the program, 5 year, is too short to expect concrete outcome, such as creating original technologies. Many of the outcomes of CRI gets a lot of attention from top class scientists in the world, it is expected to generate various R＆D performances in the future.

• The Journal of Economics, Marketing and Management
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• v.10 no.6
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• pp.9-16
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• 2022

Purpose: This research investigates the differences in knowledge exchange activities and performances between startups and large companies in software industry clusters. Research design, data, and methodology: Six independent factors of human resource information, R&D and technology, marketing knowledge, government support information, strategic knowledge, and cooperation information were extracted to test the firm size effect in the relationships with two performance factors such as satisfaction with industry cluster location and satisfaction with financial performances. Data were collected through a survey of entrepreneurs, managers, and employees and tested by statistical analysis methodologies. Results: Three independent factors of human resource information, R&D and technology, and cooperation information were particularly significant in the relationship with both dependent factors. Strategic knowledge significantly affected financial performance. Knowledge exchange activities were more important in startups than in large companies for all eight factors. Conclusion: Policies for software industry clusters need a different approach for startups and large companies.

• 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 Korean Institute of Industrial Engineers
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• v.42 no.3
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• pp.231-240
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• 2016

As the limitation of the existing convergence is pointed out, technology-humanities convergence which highlights the enhancement of the quality of life of humans, is focused as a solution to facilitate sustainable technological innovation. Technology-humanities convergence has already occurred in various industries, of which a considerable number of successful cases can be noted. However, few efforts have been made to investigate technologyhumanities convergence as an independent academic field. Therefore, this paper aimed to identify the status of technology-humanities convergence. To do this, first, a definition of technology-humanities convergence was proposed. Second, based on Maslow's theory, the types of human needs and related key words were extracted. Third, patents related to human needs were collected from the United States Patent and Trademark Office (2000~2014). Fourth and last, the status of technology-humanities convergence was analyzed in terms of "convergence trends" and "convergence areas." This research is expected to promote more creative and human-centered performances of innovation as well as to support decision-making when the innovation strategy-as attempted by the quantitative analysis of technology-humanities convergence in the perspective of sustainable competitiveness-is established.

• 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.

• Journal of Energy Engineering
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• v.29 no.1
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• pp.85-99
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• 2020

This article analyzes the influence of sectoral system of innovation(i.e. technological regime, market demand, networks, and institution) on innovative performances(i.e. product-, process-, organizational-, marketing-, and environmental- innovation) in Korean environmental industry, conducting a multiple regression analysis based on survey data from 201 Korean environmental companies. As the results, product innovation is positively influenced by internal technology accumulation and market demand response, while not affected by external knowledge utilization, market competition, networks among market and non-market agents, government support and regulation. Process innovation is positively influenced by internal technology accumulation, networks among non-market agents and regulation, but not by external knowledge utilization, market demand response, market competition, networks among market agents, and government support. While organizational innovation is positively influenced by internal technology accumulation, external knowledge utilization and regulation, it is not affected by market demand response, market competition, networks among market and non-market agents, and government support. While marketing innovation is positively influenced by internal technology accumulation, networks among non-market agents, and government support, it is not affected by external knowledge utilization, market demand response, market competition, networks among market agents, and regulation. Environmental innovation is positively influenced by external knowledge utilization and regulation, but negatively influenced by market competition. It is not affected by internal technology accumulation, market demand response, networks among market and non-market agents, and government support. Such results suggests the following policy implications. First, it is necessary to expand the sphere of relating markets through the application of convergence technology, new regulations, and overseas markets. Second, reinforcing ecosystems among environmental market agents through demand-linked joint R&D should be revitalized. Third, it is needed to strengthen more supporting policies rather than regulation. This article has the limitation of using the survey data. And further researches on the environmental sectoral system of innovation structure itself will be tried.

• Journal of Korea Technology Innovation Society
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• v.19 no.3
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• pp.604-633
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• 2016

In this study, we attempt to identify factors that influence the performances of Korean firms regarding global R&D cooperation, and to derive policy implications for performance improvement. The hypothetic influential factors include firms' general characteristics, purposes and types of cooperation, technology, partners and their countries, and government support. We categorize the performances of global R&D cooperation into technological, economic, and strategic performance, and analyze the effects of those factors on each of the performances as well as the overall performance. We use a standard tobit model for the overall performance, while using a multivariate tobit model for the other performances to reflect the possible correlations among them. The survey data was collected from 162 Korean firms that had previously conducted or were currently conducting global R&D cooperation.