• 지식경영연구
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• 제10권4호
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• pp.93-114
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• 2009

This paper presents a knowledge-based view of the multi-business firm. The multi-business firm has advantages in technological innovation and knowledge creation to the extent that it embodies various ideas and resources, and recombines them more effectively and efficiently than market contracts. The purpose of this paper is to identify how to organize the multidivisional form (M-form) structure to realize such advantages. We first differentiate within-division innovation and cross-division innovation, and explain why cross-division innovation, despite its higher performance potential, would be more difficult to achieve, compared to within-division innovation. Then, we offer the propositions about how to promote cross-division innovation with references to resource capability and coordination capability that is, in turn, composed of structural and control system, social capital, and human resource management system. We conclude by discussing theoretical and practical implications.

• 품질경영학회지
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• 제38권4호
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• pp.531-539
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• 2010

Mega-Y project is very important for a company to gain a competitive advantage in markets or to achieve drastic change in the internal processes. It stems from the company strategy and annual management goals or key performance measures, and is proceeded by the cross-functional team. This paper presents the success factors and implementation process of the Mega-Y projects. The implementation process is presented in 5 steps, including project selection, cross-functional team building, establishment of the master plan, development and execution of sub-projects, and project completion. A case study on the cost reduction project of aircraft development is presented to help for the practitioners to deploy the implementation process introduced in this paper.

• 산업공학
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• 제19권1호
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• pp.26-33
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• 2006

Many Firms consider the application of a cross-docking system to reduce inventory and lead-time. However, most studies mainly concentrate on the design of a cross-docking system. This study presents the method that selects the cross-docking center under the existing logistics network. Describing the operation environment to apply the cross-docking system, the selection criteria of the cross-docking center, and the main constraints of transportation planning under the environment of multi-level logistics network, we define the selection problem of the cross-docking center applied to a logistics field. We also define the simulation model that can analyze variously the cross-docking volume and develop the selection methodology of the cross-docking center. The simulation model presents the algorithm and influence factors of the cross-docking system, the decision criteria of the system, policy parameter, and input data. In addition, this study analyzes the effect of increasing the number of simultaneous receiving and shipping docks, and the efficiency of the overnight transportation and cross-docking by evaluating each scenario after simulating the scenarios with the practical data of the logistics field.

• 한국분말재료학회지
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• 제23권2호
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• pp.149-169
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• 2016

Additive manufacturing (AM) is defined as the manufacture of three-dimensional tangible products by additively consolidating two-dimensional patterns layer by layer. In this review, we introduce four fundamental conceptual pillars that support AM technology: the bottom-up manufacturing factor, computer-aided manufacturing factor, distributed manufacturing factor, and eliminated manufacturing factor. All the conceptual factors work together; however, business strategy and technology optimization will vary according to the main factor that we emphasize. In parallel to the manufacturing paradigm shift toward mass personalization, manufacturing industrial ecology evolves to achieve competitiveness in economics of scope. AM technology is indeed a potent candidate manufacturing technology for satisfying volatile and customized markets. From the viewpoint of the innovation technology adoption cycle, various pros and cons of AM technology themselves prove that it is an innovative technology, in particular a disruptive innovation in manufacturing technology, as powder technology was when ingot metallurgy was dominant. Chasms related to the AM technology adoption cycle and efforts to cross the chasms are considered.

• 기술혁신학회지
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• 제14권4호
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• pp.833-859
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• 2011

본 연구는 지역 소재 과학기술 연구 공용장비에 대한 중복투자 방지와 산학연 협력 활성화를 통한 지역내 R&D 효율성을 증진을 위해서 지역 연구 공용장비 운영체계의 특성 도출을 목적으로 하였다. 이를 위해 기술하부구조정책 및 지역혁신체제의 관점에서 R&D투자와 R&D활동이 상대적으로 활발한 경기도 지역의 사례를 분석하였다. 본 연구는 개별사례분석과 교차사례분석의 2단계 프로세스로 수행된다. 우선, 경기도 소재 주요 R&D 기관별 공용장비의 구축 활용 사례 조사와 운영 관련자 인터뷰를 통해 공용장비 운영 특성을 조사하였다. 다음 단계에서는 전(前) 단계에서 조사된 특성들을 공용장비의 운영주체의 조직거버넌스 특성에 따른 3가지 분류와 4가지 이슈를 매트릭스 방식으로 범주화하여 지자체 차원의 정책적 접근이 가능하도록 이슈를 정리하였다. 교차사례분석에 따라 각 운영체계별로 도출된 주요 이슈는 (1) 지자체 주도 운영체계의 경우 '공용장비 사용 수수료 체계' 및 ;공용장비 운용의 성과 지표 정립 및 성과 측정 방법'，(2) 국가/지자체/공공연구기관 등 공동 운영체계의 경우 '공용장비 운용 성과' 및 '사업부별 공용장비 회계시스템 구축', '예산 지원방식 변경'，(3) 대학 운영체계의 경우 '사업종료 후 지속적 공동활용 촉진 방안' 등으로 나타났다.

• 대한방사성의약품학회지
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• 제8권2호
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• pp.113-118
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• 2022

Gadolinium neutron capture therapy (Gd-NCT) is a precision radiation therapy that kills cancer cells using the neutron capture reaction that occurs when ¹⁵⁷Gd hits thermal neutrons. ¹⁵⁷Gd has the highest thermal neutron capture cross section of 254,000 barns among stable isotopes in the periodic table. Another stable isotope, ¹⁵⁵Gd, also has a high thermal neutron trapping area (~ 60,700 barns), so gadolinium that exists in nature can be used as a Gd-NCT drug. Gd-NCT is a mixed kinetic energy of low-energy and high-energy ionizing particles, which can be uniformly distributed throughout the tumor tissue, thereby solving the disadvantage of heterogeneous dose distribution in tumor tissue. The Gd complexes of small-sized molecule are widely used as contrast agents for magnetic resonance imaging (MRI) in clinical practice. Therefore, these compounds can be used not only for diagnosis but also therapy when considering the concept of Gd-NCT. This multifunctional trial can look forward to new medical advance into NCT clinical practices. In this review, we introduce gadolinium compounds suitable for Gd-NCT and describe the necessity of image guided Gd-NCT.

• ETRI Journal
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• 제39권4호
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• pp.467-479
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• 2017

This study examines how the characteristics of cooperative research and development (R&D) projects in the public domain impact information and communication technology (ICT) convergence. Based on the analysis of 416 cooperative R&D projects under the ICT-based industry convergence R&D program in Korea, the study finds that the characteristics of cooperative R&D projects significantly impact ICT convergence. Moreover, the participation of public research institutes and universities is critical for ICT convergence compared with that of firms. However, in firm-to-firm cooperation, the participation of small and medium enterprises contributes to cross-sectional convergence, while the participation of large firms leads to overall and longitudinal convergence. R&D inputs such as the number of partners and government subsidies exhibit an inverted U-shaped relationship (negative quadratic effect) with technology convergence. Project duration and homogeneous partners are also critical factors for ICT convergence. The results indicate several implications and guidelines on how to effectively organize cooperative R&D projects to facilitate technology convergence.

• 정보학연구
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• 제7권2호
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• pp.77-92
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• 2004

전자무역은 종래의 서류거래 대신 EDI나 인터넷 등 컴퓨터 네트워크를 이용하여 전자적 데이터 메시지를 송수신하여 종래의 무역거래방식에 컴퓨터와 정보통신기술을 결합시킨 새로운 형태의 무역거래를 말한다. 따라서, 본고에서는 무역결제 및 무역운송을 중심으로 무역거래의 전자화 현황을 살펴본 향후 전자무역의 활성화 방안을 제안하고자 한다.

• 한국산학기술학회논문지
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• 제13권12호
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• pp.5676-5683
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• 2012

본 연구에서는 백연방지용 냉각탑의 공기가열기 적용을 목적으로 현재 냉각탑의 충진재로 적용되고 있는 쉐브론형, 웨이브형 그리고 딤플형 전열판 형상에 대한 수치해석을 수행하였다. 해석 결과 동일 소비동력 대비 전열량은 평판보다 고성능 전열판에서 높게 나타났다. 열전달계수는 웨이브 형상에서 가장 크고 쉐브론 형상, 딤플 형상 순으로 나타났다. 웨이브 형상의 경우 교차하는 절곡형상 사이의 왕성한 혼합유동이 열전달 계수를 증진시킨 것으로 판단된다. 마찰계수는 열전달계수와 유사한 경향을 보였다. 하지만 동일 크기 쉬트에서의 전열량 및 압력손실은 쉐브론형에서 가장 크게 나타났다. 이는 쉐브론 형상의 전열면적이 다른 형상에 비하여 월등히 크기 때문이다.

• Journal of Korea Trade
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• 제24권7호
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• pp.1-28
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• 2020

Purpose - This paper empirically investigates the predictors and main determinants of consumers' ratings of mobile applications in the Google Play Store. Using a linear and nonlinear model comparison to identify the function of users' review, in determining application rating across countries, this study estimates the direct effects of users' reviews on the application rating. In addition, extending our modelling into a sentimental analysis, this paper also aims to explore the effects of review polarity and subjectivity on the application rating, followed by an examination of the moderating effect of user reviews on the polarity-rating and subjectivity-rating relationships. Design/methodology - Our empirical model considers nonlinear association as well as linear causality between features and targets. This study employs competing theoretical frameworks - multiple regression, decision-tree and neural network models - to identify the predictors and main determinants of app ratings, using data from the Google Play Store. Using a cross-validation method, our analysis investigates the direct and moderating effects of predictors and main determinants of application ratings in a global app market. Findings - The main findings of this study can be summarized as follows: the number of user's review is positively associated with the ratings of a given app and it positively moderates the polarity-rating relationship. Applying the review polarity measured by a sentimental analysis to the modelling, it was found that the polarity is not significantly associated with the rating. This result best applies to the function of both positive and negative reviews in playing a word-of-mouth role, as well as serving as a channel for communication, leading to product innovation. Originality/value - Applying a proxy measured by binomial figures, previous studies have predominantly focused on positive and negative sentiment in examining the determinants of app ratings, assuming that they are significantly associated. Given the constraints to measurement of sentiment in current research, this paper employs sentimental analysis to measure the real integer for users' polarity and subjectivity. This paper also seeks to compare the suitability of three distinct models - linear regression, decision-tree and neural network models. Although a comparison between methodologies has long been considered important to the empirical approach, it has hitherto been underexplored in studies on the app market.