• The Journal of Small Business Innovation
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• v.19 no.2
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• pp.53-68
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• 2016

Motivation and activities for technological learning, entrepreneurship, innovation, and creativity are driving forces of economic development in Asian countries. In the early stages of technological development, technological learning and entrepreneurship are efficient ways in which to catch up with advanced countries because firms can accumulate skills and knowledge quickly at relatively low risk. In the later stages of technological development, however, innovation and creativity become more important. This study aims to identify a) the factors (learning capabilities) that influence technological learning performance and b) barriers to enhancing innovation capabilities for the creative economy and organizations. The major part of this study is related to learning capabilities in the post-catch-up era. Based on a literature review and observations from Korean experiences, this study proposes a technological learning model composed of various influencing factors on technological learning. Three hypotheses are derived, and data are collected from Korean machine tool manufacturers. Intense interviews with CEOs and R&D directors are conducted using structured questionnaires. Statistical analysis, such as correlation and ANOVA are then carried out. Furthermore, this study addresses how to enhance innovation capabilities to move forward. Innovation enablers and barriers are identified by case studies and policy analysis. The results of the empirical study identify several levels of firms' learning capabilities and activities such as a) stock of technology, b) potential of technical labor, c) explicit technological efforts, d) readiness to learn, e) top management support, f) a formal technological learning system, g) high learning motivation, h) appropriate technology choice, and i) specific goal setting. These learning capabilities determine firms' learning performance, especially in the early stages of development. Furthermore, it is found that the critical factors for successful technological learning vary along the stages of technology development. Throughout the statistical and policy analyses, this study confirms that technological learning can be understood as an intrinsic principle of the technology development process. Firms perform proactive and creative learning in the late stages, while reactive and imitative learning prevails in the early stages. In addition, this study identifies the driving forces or facilitating factors enhancing innovation performance in the post catch-up era. The results of the preliminary case studies and policy analysis show some facilitating factors such as a) the strategic intent of the CEO and corporate culture, b) leadership and change agents, c) design principles and routines, d) ecosystem and collaboration with partners, and e) intensive R&D investment.

• 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.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.201-224
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• 2016

The main objective of this study is to identify and analyze the factors affecting technology innovation of the innovative IT SMEs. A research model is established based on the previous studies on the technology innovation of SMEs. The model consists of independent variables (Adhocracy culture, R&D capability, IT capability, Leadership, and Appraisal & Reward), an intermediate variable (Knowledge management), and dependent variables (product/service innovation and process innovation). Major research results can be summarized as follows: IT SMEs pursuing technology innovation should: (1) pay attention to innovation oriented culture, IT capability, and evaluation & compensation systems of the company; (2) recognize that knowledge management is an essential activity performed by the company; (3) strengthen the R&D capabilities of the company by not only exerting internal efforts but establishing cooperative network with various parties; and (4) resolve the decoupling problem of the evaluation & compensation system.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.215-228
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• 2019

This study micro-analyzed the impact of innovation capabilities on innovation performance by type of CEO, with innovative SMEs being subject to research. In addition, the impact of CEO type on innovative capabilities and the impact of innovative capabilities on innovation performance were studied together. In order to achieve the research objective, we conducted an empirical analysis of 250 innovative small and medium-sized enterprises registered in the medium-term department as research targets and the results are as follows. First, the analysis of the impact of the type of CEO on the capacity of innovation shows that market-oriented, technology-driven and consultant-type CEOs have a significant impact on the amount of technology change reduction, but managed CEOs do not see any statistically significant differences in the amount of technology change reduction areas. Managed CEOs did not see statistically significant differences in the amount of technology change-sensitive areas. In addition, it was analyzed that the current type of CEO of small businesses does not affect the R&D technology digestion capacity of technological innovation capabilities. Second, the analysis of the relationship between innovation capabilities and innovation performance did not have a statistically significant effect. Third, the analysis of the adjustment effect between the type of CEO and the capacity of innovation according to the growth stage of small businesses shows that the technology and the consultant-type CEO affect the amount of the area of technology change, but the managed and market-type CEOs did not have the adjustment effect. Fourth, the analysis of the capacity of innovation and the effect of adjustment between innovation and innovation in the growth phase of innovative SMEs did not have a statistically significant effect.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.153-163
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• 2016

Intellectual output, such as research papers and patents, has increased due to the consistent investment of the government R&D budget, however, the economical outcome leaves much to be desired. These unsatisfactory results originate from the lack of information sharing about the technology's business compatibility and enterprise's business capability between technology supplier and technology user. This study aims at investigating the decision making process of technology commercialization by proposing an assessment model of the technology's business compatibility and enterprise's business capability. The assessment model was completed by selecting the key index through a literature survey, field survey and consultation with experts. The technology assessment model can be effectively utilized for technology licensing, technology start-up and technology selection in R&BD projects. However, the assessment indexes required for the basic science are not investigated in this study and some assessment indexes are differently interpreted by the individual appraisers. The assessment model will be improved through field application and additional studies will be conducted to develop the assessment model of basic science.

• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.292-297
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• 2010

The Economic region, the strategy for regional development, is a global trend and has become the blue ocean. Korea has also moved forward with the concept of economic region as the strategy for regional development. So, The main purpose of this study is to find the strategies to improve the regional R&D competitive power and making regional R&D support system. As a goal of regional innovation and regional economic development, the business adds new jobs and new products, resulting in growth of the community.

• Proceedings of the Korean Society for Quality Management Conference
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• 2007.04a
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• pp.18-32
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• 2007

최적의 혁신기법이란 각사의 핵심역량을 명확히 한 후 꾸준히 그리고 지속적으로 자사에 맞게 시스템(SYSTEM)을 변형해 나가는 과정에서 완성된다고 볼 수 있다. 반도체 제조사인 H사는 지난 IMF 때 경영적인 어려움을 극복하고 최근 각 부문(제조, 연구개발, 영업 등)의 탁월한 경영성과를 올리고 있다. 이러한 성과를 뒷받침하는 것은 경영혁신 활동이 일환으로 TPM을 2001년부터 꾸준하게 적용을 해 오고 있다는 것이다. 일반적으로 TPM은 제조중심의 활동이 대부분이나, H사는 R&D부문 경영혁신 활동에 TPM활동을 접목해 활동을 하고 있다. 본 연구는 H사의 R&D부문 TPM R&D보전의 10대 지주 활동과 연구개발 부문에서 활발하게 연구되고 있는 Lean DFSS의 두 방법론에의 장 ${\cdot}$ 단점을 분석하여 좀 더 바람직한 방법론을 연구해 볼 필요가 있다.

• The Journal of Society for e-Business Studies
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• v.23 no.1
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• pp.23-36
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• 2018

This study analyzed the causal relationship between cooperation elements and the performance of joint R&D and verified the mediating effect of collaborative efforts. Cooperation elements consist of strategic agreement, complementation of resources, trust and absorption capacity, and influence the intention to participate in the joint R&D. The purpose of this study is to identify the effects of the cooperation elements and collaborative efforts on the short-term and long-term performance of the joint R&D. The results are summarized as follows: First, it is verified that strategic agreement, complementation of resources, trust and absorption capacity constitute the second order factor of cooperation elements, which positively affects the joint R&D performance. Second, it is verified that collaborative effort play a role as a mediating factor in the relationship between joint R&D performance and cooperation elements. Specifically, it was confirmed that positive effects on short-term performance of the joint R&D can be increased through cooperative efforts. However, in the case of long-term performance, the effects of collaborative efforts could not be confirmed.

• Proceedings of the KAIS Fall Conference
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• 2012.05a
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• pp.319-322
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• 2012

초기 기술개발주체는 일원적인 기술진보 방향을 따랐으나 R&D 패러다임이 변화함에 따라 고객요구의 중요성을 인식하게 된다. 하지만 3세대 R&D와 같이 고객수요에만 중심을 둘 경우 기술혁신을 꾀하기 힘들어, 현재 보유한 기술개발역량 분석을 바탕으로 시장요구를 이해하고 다른 기술개발주체와 협력할 수 있는 기술투자전략이 요구된다. 광물자원, 에너지자원 기술과 같이 산업경제 및 국민 삶과 직결된, 경제사회 문제해결형 자원기술 개발의 중요성과 필요성은 증대하지만 공적 목표와 기술목표를 결합하는 것이 쉽지 않아 이를 해결할 수 있는 방법론 제시가 필요하다. 즉 효과적인 기술개발 우선순위 및 기술개발 투자전략을 수립하기 위해 기술개발역량 분석뿐만 아니라 정확한 고객수요 분석이 필수적임을 시사한다. 따라서 고객요구 속성을 고려한 사회적 기대 도출방법을 활용하여 3단계 수준의 자원기술 수요를 도출하였으며 수요의 변동성을 고려하여 3년후/5년후의 수요중요도를 측정하였다.

• Journal of Hospice and Palliative Care
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• v.20 no.4
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• pp.253-263
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• 2017

Purpose: To develop end-of-life care training programs for nurses who provide in a tertiary hospital, we examined the mediating effects of empathy and resilience on the relationship between their stress and job performance. Methods: This study was conducted with 218 participants at a hospital in B city in South Korea from August 15 through August 30, 2017. Data collected from the participants were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and multiple regression using the IBM SPSS/WIN 21.0 software. Results: Terminal care stress was found to be negatively correlated with empathy competence (r=-0.345, P<0.001), resilience (r=-0.223, P=0.001) and terminal care performance (r=-0.260, P<0.001), whereas empathy (r=0.467, P<0.001) and resilience (r=0.358, P<0.001) were positively correlated with terminal care performance. Empathy had a complete mediating effect (${\beta}=0.409$, P<0.001) on the relationship between terminal care stress and performance, and resilience a partial mediating effect (${\beta}=0.294$, P<0.001). Conclusion: Based on the findings of this study, development of training programs with a focus on empathy and resilience are highly recommended to improve job performance of nurses who provide terminal care in a tertiary hospital.