• International Commerce and Information Review
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• v.4 no.2
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• pp.155-175
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• 2002

본 연구는 전자무역을 혁신수용의 관점에서 기술하고 있다. 관련 문헌의 고찰을 통해 천자무역 특성요인과 수용자(무역업체) 특성요인을 도출하고, 이를 바탕으로 연구모형의 개발 및 연구가설을 설정하였다. 연구가설은 인터넷리서치를 통해 수집된 자료를 다중회귀분석기법을 이용하여 검정하였다. 그 결과를 요약하면 다음과 같다. 첫째, 전자무역의 특성변수들(지각된 유용성/편의성/위험성)이 전자무역 수용도에 미치는 영향관계를 검증한 결과, 지각된 유용성과 지각된 편의성이 높을수록 전자무역 수용도가 높은 것으로 나타났다. 둘째, 혁신 수용자로서 무역업체의 특성변수들(혁신성향, 정보인프라 성숙도)이 전자무역 수용도에 미치는 영향관계를 검증한 결과, 혁신성향과 정보인프라 성축도 모두 전자무역 수용도에 긍정적인 영향을 미치는 것으로 나타났다. 이는 혁신성향이 높을수록 그리고 정보인프라가 성숙된 업체일수록 전자무역 수용도가 높게 나타난다는 일반적인 견해와 일치되는 결과이다. 셋째, 두 특성변수들(전자무역 특성, 무역업체 특성)간의 상황적 관계에서는 혁신성향이 낮은 무역업체일수록 전자무역의 정보위험성을 높게 인식하여 천자무역 수용(현재 활용정도와 지속적 이용의도)을 거부할 가능성이 높게 나타났다. 또한 정보인프라 성숙도가 낮은 무역업체일수록 정보위험성을 높게 인식하여 전자무역 수용을 거부할 가능성이 높게 나타났다. 넷째, 전자무역을 통한 수출입 경험여부에 따른 전자무역의 향후 이용의도와의 관계를 분석한 결과 무경험업체의 경우는, 혁신성향이 높고 정보인프라가 성숙된 무역업체일수록 향후 이용의도가 높은 것으로 나타났다. 또한 정보인프라 성숙도가 낮은 무역업체일수록 전자무역의 편의성을 낮게 인식하여 전자무역 수용을 거부할 가능성이 높게 나타났다. 유경험업체의 경우는 전자무역에 대한 향후 이용의도가 높은 무역업체일수록 전자무역의 편의성을 오히려 부정적으로 평가하는 경향이 드러났는데, 이러한 현상은 유경험업체가 인식하는 편의성에 대한 기대수준이 무경험업체에 비해 높기 때문인 것으로 나타났다. 또한 혁신성향이 높은 무역 업체가 향후 전자무역을 지속적으로 이용하기 위해서는 전자무역의 편의성을 더 높게 요구하는 것으로 나타냈다. 전자무역의 수용도를 높이기 위해서는 전자무역의 특성요인들에 대한 잠재적 수용자의 태도변화를 파악하는 것도 중요하지만, 수용자 집단의 특성에 맞는 상황적 전략수립이 동시에 필요하다. 그러한 의미에서 본 논문은 전자무역 수용 촉진 전략을 수용자 집단의 특성별로 그리고 상황적으로 수립할 수 있는 기초자료를 제공할 수 있을 것으로 기대된다.

• Journal of Korea Society of Industrial Information Systems
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• v.10 no.4
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• pp.65-77
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• 2005

This study aims at providing the basis for improving the applicability of ERP system in those companies which plan to introduce it or those which already introduced, but were not able to achieve the intended effect. To this end, this study focused on the empirical study to find innovation acceptance factors effecting innovation diffusion of ERP system intensively and to search the best path of innovation diffusion. Thus, it was known that innovation characteristics factors, percieved ease of use, perceived usefulnessand implementation of ERP system affected innovation diffusion directly or indirectly and there was a significant path helping companies introduce information system successfully.

• 한국벤처창업학회:학술대회논문집
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• 2021.04a
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• pp.93-95
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• 2021

새로운 코로나 바이러스 질병(COVID-19)은 많은 사람들의 일상생활에 영향을 끼쳤다. 그로 인해 학교 개학 연기와 재택근무 등으로 가정에서 생활하는 시간이 늘어났다. 정부의 사회적 거리 제한에도 식료품은 여전히 인간의 기본 필수품이다. 전염병이 유행하는 동안 식료품에 대한 소비자의 지출은 온라인 소매상에서 큰 폭의 증가를 보이며 온라인 쇼핑이 더욱 확대되고 있다. 판매 품목 중 신선도가 매우 중요한 요인으로 작용하는 농식품은 다른 제품보다 더딘 온라인 쇼핑의 성장 행태를 보이고 있다. 시장 상황을 보아 제품의 특성으로 인하여 농식품의 온라인 구매에 영향을 미치는 요소는 타 제품군과 다른 것으로 판단된다. 본 연구의 목적은 농식품의 온라인 및 모바일 거래 활성화를 위해 농식품 쇼핑몰의 특성과 혁신성이 구매의도에 미치는 영향력을 분석하는 데 있다. 본 연구는 온라인 농산물 쇼핑몰의 특성이 구매의도에 미치는 영향을 살펴보고, 그 관계에서 농식품의 온라인 및 모바일 거래 활성화를 위한 농식품 쇼핑몰 혁신성이 구매의도에 미치는 영향력을 중심으로 진행한다. 따라서 본 연구에서는 소비자의 혁신성이 농식품의 온라인 및 모바일 거래에서 거래 위험에 대한 저항을 낮추어 구매의도를 증가시키는데 영향을 미칠 것이라는 인과적 경로를 검증하고자 한다.

• Journal of Korea Port Economic Association
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• v.24 no.1
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• pp.85-102
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• 2008

The purpose of this study is to analyze the effects of Logistic Information System on performance by efficiency of internal operation and organizational innovation. The results of this study as follows : The characteristic variable evaluation model that extended from the performance(user's value, perceived usefulness) of Logistic Information System were verified meaningfully. In this study, the efficiency of internal operation and organizational innovation were very important factor, to analyze the effects of Logistic Information System on performance. This study expect that Logistic Information System will achieve their Logistic Information System competitiveness through continuous quality measurement and improvement to increase the performance.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.406-415
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• 2021

In this study, a research model was established and analyzed in order to examine how the characteristics of organizational culture affect the innovation behavior of employees. This study divided the characteristics of organizational culture into development, stability, and rationality as sub-factors, and conducted a study on the relationship between characteristics of organizational culture and innovation behavior. This study also attempted to confirm whether creative efficacy mediates between the characteristics of organizational culture and innovation behavior. To this end, the data collection was targeted to 80 members of the organization in the company, and the SPSS and PLS programs were used to analyze the collected data. As a result of hypothesis testing, only stability among the characteristics of organizational culture had a significant direct effect on innovation behavior. These results can be interpreted as meaningful results in a study between the characteristics of organizational culture and the innovation behavior of employees. In addition, creative efficacy was found to significantly mediate the influence of organizational cultural characteristics (development, stability, and rationality) on employees' innovation behavior. We suggest that companies should focus on forming an organizational culture in terms of internal stability perceived by employees, and lead employees' innovation behavior to create organizational performance. We propose that companies should create an organizational culture so that the characteristics of the organizational culture (development, stability, rationality) increase the creative efficacy of the employees and lead to the innovation behavior of the employees.

• Journal of Technology Innovation
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• v.25 no.3
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• pp.115-154
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• 2017

This article offers a review of the major literature about sectoral innovation studies of Korea and its implications over the past 30 years. The literature on the sectoral innovation studies in Korea has focused on analysing successful technological catch-up from an evolutionary perspective and most of research has centered on the issues about entry strategies, learning mechanisms. Recently "Emerging economies" like Korea in the 2000s face major challenges as they make a transition from (a) a phase of economic development characterised by 'catching up' with the global technological frontier, involving technological "imitation", to (b) a phase of continuing development based on the development of new knowledge for globally leading (post catch-up) product and process innovation. This paper reviews those bodies of literature of patterns of sectoral innovation, technological capability accumulation and catch-up process, catch-up innovation and institutions, and patterns of growth dynamics. Finally, given the importance of sectoral innovation studies, we suggest that industrial upgrading, transition towards leadership, dark side of catch-up issues are needed for future research directions.

• Management & Information Systems Review
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• v.37 no.3
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• pp.131-145
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• 2018

The purpose of this study is to analyze the effect of the fit between innovation strategy and firm characteristics on innovation performance. We conducted surveys for venture companies in the Southeast region, The results of multiple regression analysis based on 135 questionnaires are as follows : First, the higher the fitness between innovation strategy and social network level, the higher the innovation performance. Second, the higher the fitness between innovation strategy and management control system level, the more positive effect on innovation performance. Finally, the higher the fitness between innovation strategy and innovation culture, the higher the innovation performance. This result implies that the enterprise characteristics should be designed and operated in accordance with the innovation strategy implementation.

• Journal of Technology Innovation
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• v.30 no.4
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• pp.29-56
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• 2022

This study is a review paper on the contents and policy direction of the 'Transformative regional innovation policy'. The transformative regional innovation policy is a policy that develops countermeasures against climate crisis, aging, and polarization with a vision of system transformation from the perspective of local residents. The structure of the study is as follows. First, it deals with the characteristics of transformative regional innovation policy theory, which is distinguished from existing regional innovation policies. Next, studies related to major elements of transformative regional innovation policies, types of system transformation, and industrial formation are reviewed. The elements that differentiate the transformative regional innovation policy from existing policies are summarized and issues to be addressed in order to develop future discussions are drawn.

• Journal of Technology Innovation
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• v.18 no.2
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• pp.33-58
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• 2010

This paper explores the patterns of technological innovation in Korean manufacturing sector in accordance with technology intensity which classifies industries into four sectors; high-technology, medium-high-technology, medium-low-technology and low-technology. Empirical study using Korea Innovation Survey(KIS 2008) data shows that the patterns of technological innovation in Korea exhibits the characteristics of science-based firm described by Pavitt across all industry sectors regardless of the level of technology. On the other hand, overseas studies have found the distinct differences between high-and low-technology sectors; the former is shaped by science-based firm and the latter by supplier-dominated firm. It implies that technological innovation activities in Korea do not reflect the level and/or nature of technology and innovation patterns conform to a single standard of high-technology sector. Further studies on causes and impacts of this inclination would be required for effective technology and innovation policy that fits with the level and/or nature of technology in individual industries.

• Journal of Internet Computing and Services
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• v.18 no.6
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• pp.101-112
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• 2017

The purpose of this study was to examine the factors affecting innovation resistance and intention of use of social TV non-users focused on innovation diffusion theory and innovation resistance model. The results were as follows: First, compatibility among perceived innovation characteristics by social TV non-users influenced negatively on innovation resistance, and complexity among perceived innovation characteristics by social TV non-users influenced positively on innovation resistance. Second, perceived risk by social TV non-users influenced positively on innovation resistance. Third, compatibility among perceived innovation characteristics by social TV non-users influenced positively on social TV intention to use. And complexity among perceived innovation characteristics by social TV non-users influenced negatively on social TV intention to use. Fourth, perceived risk by social TV non-users influenced not significantly on social TV intention to use. Fifth, innovation resistance by social TV non-users influenced negatively on social TV intention to use.