• Knowledge Management Research
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• v.10 no.4
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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.

• Journal of Korean Society for Quality Management
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• v.38 no.4
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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.

• IE interfaces
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• v.19 no.1
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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.

• Journal of Powder Materials
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• v.23 no.2
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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.

• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.833-859
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• 2011

This study aims to draw the characteristics of the regional operation system of the shared research instrument service, which contributes to the R&D investment efficiency by the avoidance of duplicated research instrument investment and the enhancement of the network collaboration. So from the perspective of technology infrastructure policy and regional innovation system, Gyeonggi region of Korean metropolitan area has been analyzed for the case study. The case study has been conducted by 2 step process of within-case analysis and cross-case analysis. Firstly, the characteristics of operation system of the shared research instrument have been examined through various research methods. Secondly, in the cross-case analysis, the examined issues and problems have been organized by the matrix of 3 organizational governance characteristics and 4 issues to facilitate the regional policy approach. The issues deducted by the cross-case analysis have been deducted as (1) 'usage fee charge system', 'relevant method for the performance index and measurement of the instrument service management' for the regional policy led case, (2) 'performance management issue', 'financial and managerial accounting system for the instrument operating division', and 'change of budget support scheme' for the joint operation case and lastly (3) 'usage facilitation after the expiration of research lab support project' for the university led case.

• Journal of Radiopharmaceuticals and Molecular Probes
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• v.8 no.2
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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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• v.39 no.4
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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.

• The Journal of Information Technology
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• v.7 no.2
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• pp.77-92
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• 2004

Global Electronic Trading means that trading partners trade each other via Global Electronic Trading Network, that is, global business to business electronic commerce. Electronic payment systems are how to make payment electronically in manner that is efficient, reliable, and secure. I suggest the Electronic payment systems such as TradeCard and SWIFT enable seller and buyer to conduct and settle international B2B electronic commerce in case of solving the above problems. And, where the cargo arrives ahead of the B/L, the importer cannot take delivery of the cargo without the B/L. This situation is referred to as the B/L dilemma. But the BOLERO system will resolve this B/L dilemma. Bolero Project is developing a cross industry utility platform for the secure, electronic transfer of commercial trade information world wide.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.12
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• pp.5676-5683
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• 2012

In this study, numerical analysis was performed on three shapes of heat transfer plates (chevron, wave and dimple type), which are currently used as fillers of cooling towers. Results show that heat transfer rates per consumed power were larger for enhanced plates as compared with that of plain plate. Highest heat transfer coefficient was obtained for wave shape followed by chevron and dimple shape. For wave shape, cross corrugations induced significant mixing of fluids, which enhanced the heat transfer. Friction factor yielded a similar trend with the heat transfer coefficient. However, heat transfer rate and pressure drop per sheet was the largest for chevron shape, due to the largest heat transfer area per sheet.

• Journal of Korea Trade
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• v.24 no.7
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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.