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      • KCI등재

        연구개발서비스기업의 효율성, 생산성 및 생산성변화 결정요인 분석

        황경연 ( Kyung-yun Hwang ) 한국생산성학회 2018 生産性論集 Vol.32 No.4

        This study assessed the efficiency and productivity of R&D service firms using Data Envelopment Analysis (DEA) and Sequential Malmquist Productivity Index (SMPI), while analyzing the factors that affect the productivity change of R&D service firms using the panel regression model. This study selected labor, capital, tangible assets and total assets as input variables, whereas, sales and operating profit where used as output variables for DEA and SMPI. Also, in this research, intangible assets, industrial property rights, capital adequacy ratio, in-addition to selling and administrative expenses were considered as factors influencing the productivity change of R&D service firms, based on existing empirical studies. In the empirical analysis, data on 66 R&D service firms from the last three years (2015 to 2017) were used. Results showed that CCR efficiency was 0.529, 0.474, and, 0.481, in 2015, 2016 and 2017, respectively, while BCC efficiency, in R&D service firms, was 0.599, 0.551 and 0.548 in 2015, 2016 and 2017, respectively. Even though, productivity, technology and scale efficiency increased by 6.0%, 15.4% and 2.1%, respectively, technical efficiency and pure technical efficiency decreased by 8.1%, and 10.1%, respectively in the same period. Panel regression analysis showed that intangible assets and industrial property rights had a positive effect on productivity change, while capital adequacy ratio, and selling and administrative expenses had a negative effect on productivity change. Finally, industrial property rights had a positive impact on efficiency change, whereas, capital adequacy ratio had a negative impact on efficiency change. Also, intangible assets, and selling and administrative expenses had no significant effect on efficiency change in R&D service firms. The results of this study will contribute to improve the efficiency and productivity of R&D service firms in practice. In addition, this study provides policy implications for the government to grow R&D service firms.

      • KCI등재

        기업의 자원과 성과간의 관계에서 제품 및 공정혁신능력과 기술사업화역량의 역할 분석

        황경연(Kyung-Yun Hwang),성을현(Eul-Hyun Sung) 한국기술혁신학회 2016 기술혁신학회지 Vol.19 No.1

        본 연구는 기업의 보유 자원과 성과간의 관계에서 제품 및 공정혁신능력과 기술사업화역량의 역할을 분석하는데 목적을 두고 있다. 본 연구는 이를 위해 자원준거관점과 혁신 및 기술사업화 관련 실증연구에 기초하여 연구모형을 설정하고, 설문조사를 통해 수집된 대덕연구개발특구내 109개 기업 자료를 활용하여 검정하였다. PLS-SEM을 활용한 실증분석에서 기업의 인적 자원과 무형 자원은 제품혁신 능력과 공정혁신능력에 유의적인 정의 영향을 미치는 것으로 나타났으나 기업의 유형자원은 제품혁신 능력과 공정혁신능력에 유의적인 영향을 미치지 못하는 것으로 나타났다. 또한 기업의 제품혁신능력과 공정혁신능력은 기술사업화역량에 유의적인 정의 영향을 미치는 것으로 나타났으나 기업성과에는 직접적으로 유의적인 영향을 미치지 못하는 것으로 나타났고, 기업의 기술사업화역량은 기업성과에 유의적인 정의 영향을 미치는 것으로 나타났다. 본 연구는 혁신능력을 제품혁신능력과 공정혁신능력으로 구분하고, 이러한 혁신능력이 기술사업화역량에 미치는 영향을 분석했다는 점에서 차별화된 연구이다. This study assesses the structure relationships between resource, product and process innovation capability, technology commercialization competence and performance of firms in Daedeok Innopolis. In particular, this study attempts to analyze technology commercialization competence that may be influenced by product and process capabilities. The development of the research model is based on the literature of resource-based view and the empirical studies of technology commercialization competence. The survey of 109 firms was conducted from January 5, 2015 through February 4, 2015. We investigate the role of a firm’s technology commercialization competence in determining its performance by performing Partial Least Squares analysis. The results indicate that a firm’s human resources and intangible resources lead to a higher level of its product and process innovation capabilities. This study, however, finds that a firm’s tangible resources do not have significant effects on its product and process innovation capabilities. And the study finds evidence that firm’s product and process capabilities have positive effects on its technology commercialization competence. The study also finds that a firm’s technology commercialization competence is a driving force behind its performance, showing that its technology commercialization competence positively involves its performance. In addition the study finds that technology commercialization competence mediates the relationship between a firm’s innovation capability and performance, indicating that the technology commercialization used as mediating variable positively affects its innovation performance.

      • KCI등재

        기업의 혁신지향적 문화와 의존성이 산학협력 및 산학협력몰입에 미치는 영향

        황경연(Kyung-Yun Hwang),안기돈(Gi-Don An) 한국무역연구원 2021 무역연구 Vol.17 No.1

        Purpose The purpose of this study is to analyze the effect of a firm’s innovation-oriented culture and dependence on firm performance through Industry-University cooperation commitment. Design/Methodology/Approach Based on the literature on interorganizational relationships and organizational culture;the relationship between a firm’s dependence;innovation-oriented culture;Industry-University cooperation;Industry-University cooperation commitment and performance was established as 7 hypotheses;and a conceptual research model was created. The data required for the research model were collected through a survey of Daedeok Innopolis firms. Data from 107 firms under the Industry-University cooperation were used to test the research model;and partial least square was used for data analysis. Findings It was found that the dependence of a firm has a positive effect on Industry-University cooperation and Industry-University cooperation commitment. Moreover;the innovation-oriented culture of firms has a positive effect on Industry-University cooperation and Industry-University cooperation commitment. In addition;it was confirmed that Industry-University cooperation significantly affects the Industry-University cooperation commitment. Furthermore;Industry-University cooperation and Industry-University cooperation commitment significantly affect firm performance. Research Implications This study contributed academically in that it empirically revealed the structural relationship between a firm’s dependence;innovation-oriented culture;Industry-University cooperation;cooperation commitment and performance. In addition;these research results provide meaningful implications for promoting industry-university cooperation.

      • KCI등재

        수출제조기업의 효율성 결정요인에 관한분석: 코스닥 기업의 연구개발집약도를 중심으로

        황경연 ( Kyung-yun Hwang ),구종순 ( Jong-soon Koo ) 국제지역학회 2016 국제지역연구 Vol.20 No.2

        본 연구는 수출제조기업의 효율성을 분석하고, 이러한 효율성에 영향을 미치는 요인을 분석하는데 연구목적이 있다. DEA를 활용한 수출제조기업의 효율성 분석에는 투입변수로 종업원수와 자본을 활용하고 산출변수로 매출액을 활용하였다. 수출제조기업의 효율성에 영향을 미치는 요인은 기존 실증연구를 기초로 연구개발집약도, 수출집약도, 인건비비율, 일반관리비비율, 총자산, 유동성 및 자기자본비율을 선정하였다. 실증분석에는 369개 코스닥 수출제조기업의 2013년부터 2015년까지 3년간 패널자료를 활용하였다. 패널 Tobit 회귀분석을 활용한 실증분석결과 중에서 코스닥 수출제조기업 전체를 대상으로 한 분석결과에서는 연구개발집약도, 인건비비율, 총자산 및 자기자본비율이 CCR효율성과 BCC효율성에 부의 영향을 미치고, 수출집약도가 CCR효율성에 부의 영향을 미치는 것으로 나타났다. 코스닥 수출제조기업 중 대기업을 대상으로 한 분석결과에서는 연구개발집약도가 CCR효율성과 BCC효율성에 정의 영향을 미치고, 수출집약도, 인건비비율 및 자기자본비율이 CCR효율성과 BCC효율성에 부의 영향을 미치고, 일반관리비비율이 BCC효율성에 부의 영향을 미치는 것으로 나타났다. 코스닥 수출제조기업 중 중소기업을 대상으로 한 분석결과에서는 연구개발집약도, 인건비비율, 총자산 및 자기자본비율이 CCR효율성과 BCC효율성에 부의 영향을 미치는 것으로 나타났다. This paper examines the determinants of efficiency in a KOSDAQ-listed manufacturing firm. We use Data Envelopment Analysis (DEA) to estimate the efficiency of the export manufacturing firm. We employ two inputs (number of employees, equity) and one output (sales) in the DEA. The determinants of export manufacturing firm efficiency are estimated using the panel Tobit model. An analysis of 369 export manufacturing firms from 2013 to 2015 indicates the following results: First, the R&D intensity, the wage and salary intensity, total asset, and equity ratio each had a negative impact on both the CCR and BCC efficiency scores. However, export intensity had a negative impact on CCR efficiency scores in a KOSDAQ-listed total export manufacturing firm. Second, the R&D intensity had a positive impact on both the CCR and BCC efficiency scores, but export intensity, the wage and salary intensity, and equity ratio each had a negative impact on the CCR and BCC efficiency scores in a KOSDAQ-listed large export manufacturing firm. Third, the R&D intensity, the wage and salary intensity, total asset, and equity ratio each had a negative impact on both the CCR and BCC efficiency scores; respectively, in a KOSDAQ-listed small and medium export manufacturing firm.

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