• The Korean Journal of Health Service Management
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• v.14 no.1
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• pp.55-65
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• 2020

Objectives: To provide guidance for agency planning by identifying barriers faced by Korean pharmaceutical companies in global regulatory affairs. Methods: A questionnaire survey on global regulatory affairs was administered by email to personnel at Korean pharmaceutical companies. From a total of 60, 28 responses were collected. Respondents' companies were classified as small-sized or large-sized, based on whether their annual sales amounted to KRW 100 billion. Results: Small-sized companies were experiencing greater difficulties in receiving drug approvals from advanced countries, particularly during the Investigational New Drug (IND) and Good Manufacturing Practice (GMP) processes. Conclusions: Support measures to specifically help small-sized companies enter more advanced markets and further improved global regulatory guidelines that can meet large-sized companies' expectations are needed. Moreover, domestic and global regulatory standards should be harmonized to benefit both groups.

• Journal of applied mathematics & informatics
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• v.40 no.3_4
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• pp.563-575
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• 2022

Many organizations seek statistical modelling facilitated by data analytics technologies for determining the prediction models associated with M&A (Merger and Acquisition). By combining these data analytics tool alongside with data collection approaches aids organizations towards M&A decision making, followed by achieving profitable insights as well. It promotes for better visibility, overall improvements and effective negotiation strategies for post-M&A integration. This paper explores on the impact of pre and post integration of M&A in a standard organizational setting via devising a suitable statistical model via employing techniques such as Naïve Bayes, K-nearest neighbour (KNN), and Decision Tree & Support Vector Machine (SVM).

• Journal of Korea Technology Innovation Society
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• v.13 no.1
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• pp.124-139
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• 2010

This study analyzes determinants of innovation in Korea manufacturing industries from 2005 to 2007. In order to do this, we use raw data from 'Korea Innovation Survey 2008: Manufacturing Sector' conducted by STEPI, and also collect financial statement data from Korea Investors Service. As an analytical method for the empirical test, we utilize Probit model. Empirical results show that firm size and market concentration have positive relationship with firm's innovation activities. These support the ‘Schumpeterian hypothesis’. This would be the most distinguished feature of this study compared to previous literatures.Our study also shows that R&D personnel ratio, R&D intensity, and advertising intensity have positive effects on firms' innovation. Thus, we can say that R&D activities and consumer orientation are the main determinants of innovation. However, profit ratio and growth rate do not have any statistically significant effect on firms' innovation.

• IEMEK Journal of Embedded Systems and Applications
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• v.4 no.2
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• pp.79-83
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• 2009

Streaming Technology can support the real-time playback without downloading and storing multimedia data in local HDD. So, client browser or plug-in can represent multimedia data before the end of file transmission using streaming technology. Recently, the demand for efficient real-time playback and transmission of large amounts of multimedia data is growing rapidly. But most users' connections over network are not fast and stable enough to download large chunks of multimedia data. In this paper, we propose an intelligent IP streaming system based on personalized media service. The proposed IP streaming system enables users to get an intelligent recommendation of multimedia contents based on the user preference information stored on the streaming server or the home media server. The supposed intelligent IP streaming system consists of Server Metadata Agent, Pumping Server, Contents Storage Server, Client Metadata Agent and Streaming Player. And in order to implement the personalized media service, the user information, user preference information and client device information are managed under database concept. Moreover, users are assured of seamless access of streamed content event if they switch to another client device by implementing streaming system based on user identification and device information. We evaluate our approach with manufacturing home server system and simulation results.

• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.1024-1049
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• 2011

Korea has accomplished rapid industrial development based on the manufacturing industry. However, the growth potential has been slowing down lately due to some reasons including low employment creation rates. Also, competitions in the manufacturing industry with China and developing countries in Asia are constantly intensified. Advanced countries maintain economic growth based on the competitiveness secured by changing its industrial structure into service oriented economy. Accordingly Korean government announced various policies to promote service industry and stimulate R&D activity for the advancement of knowledge based service industry. For promoting R&D of private firm, R&D center accreditation system for knowledge based service firm is going to be introduced. However, the accreditation system needs to be revised because it was established based solely on manufacturing business. Under the existing system, subject firms for government support are selected based on R&D activities. However in service area, the difference between R&D activity and business activity is indistinctive due to its nature so that the range of subject firms can be expanded too much. So it is more practical to select major service businesses and operate the system with selected businesses. There also should be proper logic to select major service business from the whole service businesses. We have to consider Koean industrial structure which is heavily dependent on manufacturing business and has weak competitiveness in service business when preparing the logic. In this paper, we study how to set up the range of service business and the requirements for R&D center accreditation. For this, this paper analyzed the ripple effect on the economy of service businesses based on input-output analysis, R&D activity and capability to put the resource for R&D. Based on the analysis result, we suggest methods to screen subject companies for R&D center accreditation among service business and present possible measures on manpower and physical requirement for service industry's R&D center accreditation system.

• Journal of the Korea Society for Simulation
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• v.21 no.1
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• pp.55-68
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• 2012

Recently it is important to understand service supply chain because the economy moves from manufacturing to services. However, most of existing supply chain research focuses exclusively on the manufacturing sector. To overcome this situation, it needs to investigate and analyze service supply chain. Simulation is one of the most frequently used techniques for analysis and design of complex system. Service supply chain is complex and large systems that require an accurate designing phase. Especially, it is important to examine closely the dynamically interactive behavior of the different service supply chain components in order to predict the performance of the servcie supply chain. In this paper, we develop a conceptual model of service supply chain. Then, we present a new procedure to develop simulation model for the developed conceptual model of service supply chain, based on the UML analysis and design tools and on the ARENA simulation language. The two main characteristics of the proposed procedure are the definition of a systematic procedure to design service supply chain and of a set of rules for the conceptual model translation in an ARENA simulation language. The goal is to improve the knowledge on service supply chain management and support the simulation model development efficiency on service supply chain.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.49
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• pp.461-490
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• 2011

The purpose of this study is to examine which factors are encouraging SMEs to participate in uTradeHub(focused on the uTrade search service) in terms of product characteristics and sourcing patterns. The three factors encouraging Trade e-Marketplaces are identified in this study. First, internal factors include the support of top management, mature of IT infrastructure. Second, external factors include the pressure of industry, industry competition, dependence of trading partners. Third perception factors are perceived Usefulness, perceived easy of use. The empirical analysis had the following results. First, it reveals that support of top management, mature of IT infrastructure, industry competition have significant influence upon uTrade Search Services. On the other hand, pressure of industry, dependence of trading partners, Perceived relative benefits are not significant variable of the participation in uTrade Search Services. Second, the factors affecting the participation in uTrade Search Services are differentiated in terms of product characteristics and sourcing patterns. And the support of top management, mature of IT infrastructure, Perceived relative benefits are emphasized very important factors affecting the participation of uTrade Search Services in SMEs. The industry competition is recognized as more important factor in horizontal market in which Spot sourcing just like Operating products is trading. On the other hands, the dependence of trading partners are significant factor in vertical market in which Systemic sourcing just like Manufacturing products is trading.

• Korean Journal of Computational Design and Engineering
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• v.10 no.1
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• pp.1-10
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• 2005

This paper presents an embodiment of design integration framework corresponding to changes in the latest manufacturing environment. The embodied system is named by 'WEB-KBE System' because it supports a product design with a KBE technique based on web environment. The final purpose of the work is to implement a web-based integration design environment with a KBE technique to support non-skillful designers. The framework of the system Is designed to support necessary items in user-centric design environment. Two case studies were applied to the WEB-KBE system to evaluate the efficiency, flexibility, extensibility, and reusability of the system. The examples are [1] CART integration design environment construction and (2) Exhaust Duct Saddle Support integration design environment construction. In the former case, it took a period of 8 months for modeling and implementation of the WEB-KBE prototype system. However, with the high extensibility and reusability of WEB-KBE system, the second case required only a period of one month for modeling and implementation of the system. We conclude that the presented WEB-KBE system can bring fair effects on implementing a knowledge based design environment in aspect of time and expense.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.6
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• pp.69-79
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• 2022

The purpose of the study is to look into the likelihood of private sector enterprises going bankrupt due to COVID-19 pandemic-related issues. The data for this study was taken from the World Bank's Enterprise Survey, which was intended to assess the impact of the COVID-19 pandemic on the business sector. This study uses the Ordinal Logit Method to analyze the model with dependent variables having ordinal values. The determinants reflect business performance, innovation, business relationships, and government support. According to the estimation results, a lower probability of business closures, illiquidity, and payment delays are found in businesses that maintain sales growth, operating hours, temporary workers, product portfolio, consumer demand, and input supply. Meanwhile, the increase in online business activities and receiving support from financial institutions and the government do not help businesses reduce the risk. Moreover, higher survival is found in manufacturing and developing countries. This implies the fragility of businesses in the retail and service sectors, especially for mega-enterprises in developed countries. In addition, the negative impact of the COVID-19 pandemic on businesses in Europe and West Asia is less severe than in other regions. The results imply policies to support the private sector during the pandemic, such as increasing labor market flexibility or rapidly implementing supportive policies.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.07a
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• pp.360-363
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• 2010

Streaming Technology can support the real-time playback without downloading and storing multimedia data in local HDD. So, client browser or plug-in can represent multimedia data before the end of file transmission using streaming technology. Recently, the demand for efficient real-time playback and transmission of large amounts of multimedia data is growing rapidly. But most users' connections over network are not fast and stable enough to download large chunks of multimedia data. In this paper, we propose an intelligent IP streaming system based on personalized media service. The proposed IP streaming system enables users to get an intelligent recommendation of multimedia contents based on the user preference information stored on the streaming server or the home media server. The supposed intelligent IP streaming system consists of Server Metadata Agent, Pumping Server, Contents Storage Server, Client Metadata Agent and Streaming Player. And in order to implement the personalized media service, the user information, user preference information and client device information are managed under database concept. Moreover, users are assured of seamless access of streamed content event if they switch to another client device by implementing streaming system based on user identification and device information. We evaluate our approach with manufacturing home server system and simulation results.