• Journal of Korea Technology Innovation Society
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• v.20 no.1
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• pp.62-80
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• 2017

The purpose of this paper is to explore the relationship between industrial regulations and the R&D activities of firms by analysing the case of manufacturing enterprises in Korea. The sample is gathered from the 2012 Korean Innovation Survey data of Korean Institute of Science & Technology Evaluation and Planning and merged with Korean Regulation Index data of Korean Institute of Public Administration. The Ordinary Least Square (OLS) as well as 2 Stage Least Square (2SLS) regression results show that the impact of the level of the manufacturing field's regulation on firms' R&D activities or inputs may be both positive and negative, depending on the size of the firms. The analysis results suggest that regulatory policy makers need to formulate and implement R&D programs that consider the different effects of industrial regulations on large enterprises or Small and Medium sized Enterprises (SMEs).

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.4
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• pp.101-113
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• 2021

This paper inquires the macro-economic factors that may affect the corporate venture capital (CVC) from an industrial organization theory perspective. Unlike existing studies focusing CVC investments related to parent corporates' strategic intention, we identified CVC firm as an independent financial investor affected by macro environment and industrial structure. Specifically, we empirically investigate whether and how industry's boom, exogenous crisis, economic growth, and competition intensity affect the CVC investment for a data set of investment in the U.S. based corporate venture capital industry, 1996-2017. The empirical data analyzed in the study contained a total of 84 U.S. based CVC firms and their 2,306 investments from 1996 until 2017. After conducting a time-series negative binomial analysis, our empirical analyses suggest that the CVC investments are affected negatively by exogenous crisis and competition intensity, and positively by industrial boom and economic growth. we found the significance and direction of our independent variables strongly supported all of our four hypotheses in a highly robust manner. The results of this study are expected to contribute the literatures of corporate venture capital and venture investment by illustrating which macro-economic and industrial structure factors affect CVC investment decision to adapt to dynamic environmental change beside strategic intention of CVC firm's parent corporates.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.3
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• pp.1-12
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• 2021

In this paper, we study empirically examined the adventurous investments in corporate venture capital (CVC) firms' investment in the U.S. based corporate venture capital industry. Unlike existing studies focusing CVC firm's characteristics related to parent corporates and regarding CVC firm as a vehicle of corporate venturing, we identified CVC firm as an independent learning agent to adapt to dynamic environment and investigate their exploration and exploitation in investments based on organizational learning theory. Specifically, we investigate the market-environmental factors affecting CVC's adventurous investment in different sector rather than previously done. First, we examined competition intensity in CVC industry might be related to CVC firm's explorative investments. Second, CVC firm's investment experiences might affect as an inertia to invest on unexperienced sector. Finally, we investigated risk preference effect on CVC firm's venturing investments. The empirical data analyzed in the study contained a total of 85 U.S. based CVC firms and their 2,306 investments from 1996 until 2017. After conducting a GEE regression analysis and a Logit regression analysis, we found the significance and direction of our independent and moderating variables strongly supported all of our four hypotheses in a highly robust manner.

• Korean Security Journal
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• no.50
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• pp.119-141
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• 2017

The purpose of this study is to analyze the longitudinal causal relationship between organizational commitment and job satisfaction, focusing on security related workers. For this purpose, the Korean Labor and Income panel data were classified into security employees. Data were analyzed using SPSS 18.0 and AMOS 20.0, and validity and reliability analysis were conducted before hypothesis testing. The results of the analysis show that organizational commitment at time t-1 has a positive effect on organizational commitment at time t, and that job satisfaction at time t-1 has a positive effect on job satisfaction at time t Respectively. The results of this study are as follows: 1) The organizational commitment has a significant effect on the job satisfaction. 2) The effect of job satisfaction on organizational commitment was also significant 3) The cross-lagged coefficients show that organizational commitment precedes job satisfaction and serves as a predictor

• Journal of Korea Technology Innovation Society
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• v.12 no.3
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• pp.564-581
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• 2009

The paper investigates the determinants of firm's standardization activity in the Korean manufacturing industry. Standardization variables as dependent ones are standardization management at the firm level, accreditation activity, domestic standards utilization, and international standards utilization. The independent variables include innovative activities(R&D intensity and patent application), firm size, export ratio, networks, and firm's organization characteristics. We estimated the logistic regression model, using the data from 636 Korean manufacturing firms. The empirical findings are as follows. First, R&D intensity doesn't have any influence on standardization activities, except the utilization of international standards. Second, patent application has a positive effect on standardization management at the firm level and accreditation activity, respectively. Third, the inverse U-shape hypothesis relating firm size is accepted for standardization management and accreditation, respectively. Fourth, the level of chief executive officer's interest on standardization is a very important factor in determining firms' efforts to participate standardization process, regardless of types of standardization activity.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.17 no.3
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• pp.251-259
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• 2004

The prediction accuracy of prestress plays an important role in the quality of maintenance and the decision on rehabilitation of infrastructure such as prestressed concrete bridges. In this paper, the Bayesian statistical method that uses in-situ measurement data for reducing the uncertainties or updating long-term prediction of prestress is presented. For Bayesian analysis, prior probability distribution is developed to represent the uncertainties of creep and shrinkage of concrete and likelihood function is derived and used with data acquired in site. Posterior probability distribution is then obtained by combining prior distribution and likelihood function. The numerical results of this study indicate that more accurate long-term prediction of prestress forces due to creep and shrink age is possible.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.59-70
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• 2020

This study aims to examine the effect of employees' CSR perception on creativity via compassion along with the moderating effect of CSR authenticity. For the research procedure, frequency analysis and CFA analysis were performed after sample collection, hypothesis verification and moderating effect verification were performed. We conducted an empirical analysis using 360 employees from large-sized companies in Korea. First, the results showed that CSR perception was positively related to employees' compassion. Second, compassion was also positively related to creativity. Third, the positive relationship between CSR perception and creativity was mediated by compassion, and the aforementioned mediated relationship was moderated by CSR authenticity. Therefore, our study findings imply that, when employees perceive CSR, they will not only form compassion emotions but also will display more creativity especially when they perceive the authenticity of CSR.

• Convergence Security Journal
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• v.18 no.1
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• pp.69-84
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• 2018

This study examines antecedents of the intention of compliance with information security policies based on Ajzen's Theory of Planned Behavior. The study conducted the following: Verification of casual relations between role of management and protection motivation and the antecedents of planned behavior as parameters to determine the effect on the intention of compliance with information security policy, and comparative analysis between the research model and a competition model. The result of the study disclosed that, in the research model, attitude and subjective norm took an intermediary role on management beliefs, response efficacy, response cost, self-efficacy, and compliance intention, and perceived behavior control on management beliefs, self-efficacy and compliance intention.

• 한국벤처창업학회:학술대회논문집
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• 2020.11a
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• pp.47-53
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• 2020

빅데이터 기술은 기업의 경쟁력을 높일 수 있는 혁신 기술 중 하나로 급성장하고 있는 가운데 농업 분야 또한 빅데이터를 활용한 경쟁력 제고와 미래 산업으로의 발전이 중요 당면과제로 부상하고 있다. 해외의 경우 농업 빅데이터를 활용한 스타트업이 빠른 속도로 증가하며 성장하는 반면 국내의 경우 생산 분야 일부 농업 벤처 외에는 빅데이터 활용이 미흡한 실정이다. 또한 기업의 빅데이터 활용수준이나 활용의도에 영향을 미치는 요인에 대한 연구가 대기업이나 특정 산업에 국한되어 이루어지고 있으며, 연구마다 영향요인 변수의 검증결과가 상이하게 나타나 산업/기업특성에 따라 연구가 필요하다. 본 연구의 목적은 농업벤처기업에서 새로운 ICT인 빅데이터를 도입하고 사용하는 데 영향을 미치는 요인을 파악하고, 이를 통해 기대하는 편익에 대해 파악함으로써 활용을 촉진할 수 있는 방안을 제시하는 데 있다. 본 연구는 빅데이터가 조직의 프로세스를 변화시키고, 최고경영층의 지원이 필수적이며, 기업이 처한 환경적 압박에 대응할 수 있는 수단으로 보고 기술·조직·환경(TOE: Technology-Organization-Environment) 프레임워크를 기반으로 혁신확산이론(Diffusion of Innovation Theory) 모형을 결합하여 본 연구에 적합한 변수들을 도출한 후 이들 변수간의 인과관계를 설정하여 연구모형을 구성하였다. 이에 따라 TOE모형의 기술적 요인에 관한 변수로는 혁신확산이론 변수인 상대적이점, 호환성, 복잡성을 채택하였고, 조직적 요인에 관한 변수로 최고경영층 지원, 비용부담능력을, 환경적 요인에 관한 변수로는 법적·정책적 지원, 경쟁자 압력을 채택하였다. 이들 3가지 요인에 속한 7가지 변수들과 빅데이터 사용의도와 기대편익 간의 관련성, 그리고 농업벤처 사업분야의 조절효과에 대한 8개의 가설을 설정하였다. 본 연구는 실제 농업벤처기업 종사자 대상 설문을 통한 실증연구를 통해 벤처 현장에서의 빅데이터 활용수준을 높이기 위한 기술적, 조직적, 환경적 관점의 정책 개선방안을 제시하고, 생산/가공/유통 등 사업분야별 비교를 통해 영향요인의 중요도 차이를 규명해 영역별로 차별적이고 효과적인 정책 방향성을 도출하는 데 시사점을 제시하고자 한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.300-300
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• 2020

최근 전체 산업재해율은 계속적으로 감소 추세를 보이는 반면, 건설업의 재해율은 증가하는 추세를 내타내고 있다. 이러한 건설업 공종별 재해유형은 임시구조물과 관련된 가설공, 굴착공, 철근콘크리트공의 재해율이 타 공종에 비해 높게 나타난다. 이는 공종 진행에 따라 변화되는 건설현장의 위험요소를 사전에 인지하여 제어·관리할 수 있는 사고예측 기술 및 대응 기술의 부재로 안전사고가 높게 발생한 것으로 판단된다. 이러한 상황 속에서 건설현장에서 빈번하게 발생하는 다양한 재해 상황에 대하여 공사별, 규모별, 공정별 대응 체계를 마련하고, 굴착공사 중 침수 발생 시 피해를 최소화할 수 있는 실용적인 긴급대응 방안을 확보함으로써 경제적인 손실뿐만 아니라 인명피해를 최소화하는 방안 마련이 필요하다. 공사 현장 재해 상황 중 침수는 태풍 또는 집중호우 시 공사구간이 침수되어 근로자 수몰 등의 피해가 발생하고, 절토면이 붕괴되는 등 2차적인 피해로 이어진다. 이러한 침수의 원인은 공사 현장의 저지대 위치, 집중호우 시 최대 강우량에 대한 대비 소홀, 양수기 부족 및 고장, 인접 배수로 배수기능 불량 등의 복합적인 원인들로 인하여 발생한다. 또한 굴착공사 현장의 침수는 공사기간 동안 개별 공종에 따라 침수발생 양상이 달라질 수 있다. 따라서 각 공종별 발생 가능한 침수 양상에 대한 예방/대응 기술이 필요하다. 본 연구에서 사용되는 HDM-2D 수리 동역학 모델은 2차원 흐름해석 프로그램으로 복잡한 하천지형이나 공사현장과 같은 불연속면에서 유속 및 수심 등을 계산한다. 또한 마름/젖음 현상 등 복잡한 수리현상에 대한 정교한 모의 기능 및 침수해석 등 어떠한 계산영역이나 흐름조건에서도 정확하고 안정적인 모의를 할 수 있다. 본 연구에서는 공사현장과 같은 불연속면에서 각 공종에 따라 발생할 수 있는 침수양상에 대한 모의를 진행하고 각 공종별 침수양상을 비교분석 하였다. 이를 통해서 굴착공사 현장 침수피해 예측 모델을 개발하여 개발된 기술을 사용하여 기후변화에 따른 강우량 증가와 이에 따른 수재해로 인한 건설현장 침수 발생 및 인명, 재산피해를 최소화하고자 한다.