• Journal of Korea Technology Innovation Society
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• v.8 no.spc1
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• pp.360-390
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• 2005

The paradigm of the corporate innovations has been changed from the intra-company innovations to the inter-company innovations. A prevalent approach to the inter-company innovations is the supply chain management. Three key words of the core concept of supply chain management are the long-term relationship, resource integration, and value creation. Specifically, it means that the supply chain management aims to make value creation through the resource integration for the supply chain entities, based on the long-term relationship between buyers and sellers. To make more effective long-term relationship among the supply chain entities, it is very important for the supply chain entities to analyze followings: i) What variables can influence the long-term relationship, ii) How these variables can influence to the long-term relationship. However, previous researches mostly deals the long-term relationship in the marketing area in fragment, and thus few research efforts have been done for the development of conceptual model using supply chain management theories. In contrast to previous studies, our research tried to develop and examine the integrative research model by introducing both the marketing theories and the supply chain management theories, and thus related hypotheses are derived. A multiple regression analysis was performed to examine the influence of the antecedents of the long-term relationship, for the 87 retailers of grocery supply chains. The empirical results confirm that cultural similarity, reputation, interdependency, and trust positively influence long-term relationship (i.e., partnership orientation and partnership symmetry). And results also confirm that the supply implementation factors such as organization integration, information system integration, and process integration playa moderating role between antecedents and long-term relationship. These findings suggest that companies should perceive the importance of managing the process, organization, information system integration in the long-term relationship implementation process as well as the factors such as cultural similarity, reputation, interdependency, and trust in the long-term relationship establishment process.

• Journal of Technology Innovation
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• v.22 no.4
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• pp.117-143
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• 2014

Tracing an evolutionary technological trajectory in the macroscopic viewpoint is useful for technology policy, but not for corporate technology and intellectual property strategy. Tackling this issue, recent bibliometric studies using patents and papers have made efforts to identify more specific and detailed technological trajectory. However, these studies cannot go beyond simple description of the past trajectory. Also, identification of technology fusion and evolution relies on experts judgments. We suggest a way of identifying microscopic evolutionary technological trajectories by combining patent citation network analysis with dynamic technology tree. Also, using new indicators of generality, diversity and novelty, we can detect key technologies that can be a starting point of next generation technology and derivative technology. HVDC(High Voltage DC transmission) system technology is exemplified.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.3
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• pp.59-71
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• 2020

This study is empirically intended to look into the effects of smart factory technologies on quality and innovation performance in small and medium-sized Enterprises(SMEs). The research results are as follows. Device and application technologies for smart factory had a positive effect on the information quality and system quality, while platform technologies had an insignificant effect on the information quality and system quality, rejecting the effect of platform technologies for smart factory on information quality and system quality. Device technologies for smart factory had also a significant effect on innovative performance, while platform and application technologies had an insignificant effect on innovative performance, rejecting the effect of platform and application technologies for smart factory on innovative performance. The system quality had a significant effect on innovative performance, while the information quality had an insignificant effect on innovative performance. The quality played a partial mediating role in the effect of device technologies for smart factory on innovative performance. These results indicate that small and medium-sized venture firms should implement a high standard of information quality management(IQM) through interconnection as the kernel of a smart factory in the 4th revolutionary era, and that they can improve their corporate performance through the interlocking between components from manufacturing design to execution and analysis and the integrated management of systematic information collected from devices if necessary.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.245-256
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• 2021

The Fourth Industrial Revolution brought the quantitative value of data across the industry and entered the era of 'Big Data'. This is due to both the rapid development of information & communication technology and the diversity & complexity of customer purchasing tendencies. An enterprise's core competence in the Big Data Era is to analyze and utilize the data to make strategic decisions for enterprise. However, most of traditional studies on Big Data have focused on technical issues and future potential values. In addition, these studies lacked interest in managing the quality and utilization levels of internal & external customer Big Data held by the entity. To overcome these shortages, this study attempted to derive influential factors by recognizing the quality management information systems and quality management of the internal & external Big Data. First of all, we conducted a survey of 204 executives & employees to determine whether Big Data quality management, Big Data utilization, and level management have a significant impact on corporate work efficiency & corporate management performance. For the study for this purpose, hypotheses were established, and their verifications were carried out. As a result of these studies, we found that the reasons that significantly affect corporate management performance are support from the management class, individual innovation, changes in the management environment, Big Data quality utilization metrics, and Big Data governance system.

• International Journal of Quality Innovation
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• v.6 no.2
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• pp.59-89
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• 2005

Manufacturing Resources Planning (MRPII) is one kind of manufacturing information system that can help manufacturing companies gain competitive advantages. It is estimated that more than one hundred MRPII systems are available in the market, many of them are mature enough to solve most operational issues in accordance with users' requirements. More often than not, many of these systems provide more functions than a company expects. Manufacturing companies worldwide have attempted to implement these MRPII systems, however, many companies experienced failure (Turbide, 1996) due to managerial rather than technical issues. The authors propose an approach utilising a roadmap to integrate BPR and the MRPII implementation in order to overcome this difficulty. A detail road map is developed to guide this implementation, which is designed using a hierarchical analysis technique known as Integrated DEFinition Method (IDEF). IDEF is a systematic manufacturing management and integration-modeling tool. The proposed approach is implemented and illustrated using a reference company and the results indicated that 66% reduction in errors for maintaining the bills of materials system; 99% reduction in time to carry out material requirement planning; and 70% reduction in time previously taken for non-productive discussions.

• International Journal of Quality Innovation
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• v.7 no.1
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• pp.60-89
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• 2006

In the Knowledge-based Economic Era, all of the enterprises are facing global competitive pressure. The activities of knowledge accessing, codifying, and application will obviously become the main inner function on enterprise operation. Knowledge will be the primary competitive advantage; therefore, he who wants to hold the competitive advantage should do the knowledge management (KM) very well. In this study, we construct the research dimensions and variances by the successful factors of KM, which had been practiced very well by big enterprises inside and outside our country, and which was recommended by the related scholars. In order to approach the differences between big enterprises and small and medium-sized enterprises (SMEs) towards implementing KM, this study takes the way of questionnaire investigation to do empirical analysis and to construct the model of KM by path analysis. The study found out when implementing KM, SMEs should highlight 'leadership,' 'library-architecture,' and 'corporate culture' these three aspects, while 'information technology' and 'performance evaluation' these two aspects show no remarkable influence. It shows that he who wants to construct KM might not too overweight on information technology to build the KM system. Therefore, we suggest when implementing KM, enterprises should reinforce the corporate culture by sharing, organized KM process, learning environment for all employees, and highly authorization by top managers in order to reach the expectant success of KM. The result of this study offers practical thinking directions to reach the expectant success for the policy makers in SMEs, who are accessing to or evaluating to implement KM.

• Journal of the Korea Society of Computer and Information
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• v.12 no.6
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• pp.279-286
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• 2007

The competitiveness of a corporate has always been an endeavor factor in the field of Business Management and with introduction of computer, various system; Decision Support System. Executive Information System. Management Information System has dramatically improved the competitiveness. According to the environmental change, organizational complexity. rapid information technology development. it is accelerated to introduce the Enterprise Resource Planning(ERP) System. ERP System is considered as an important tool for management innovation. Korean enterprises have been adopting ERP to reinforce competitive power and to realize global standardization in recent years. This study on the performance of ERP Systems is designed to take a look at the importance, outcome factors of information system, the quality measurement of the information system, and breaking the quality of the information system into system quality, information quality.

• Informatization Policy
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• v.30 no.4
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• pp.40-61
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• 2023

The adoption of smart factories and smart manufacturing as strategies to enhance competitiveness and stimulate growth in the manufacturing sector is vital for a country's future competitiveness and industrial transformation. The government has consistently pursued smart manufacturing innovation policies starting with the Manufacturing Innovation 3.0 strategy in the Ministry of Industry. This study aims to identify policy areas for smart factories and smart manufacturing based on technical standards. Analyzing policy areas at the current stage where the establishment and support of domestic standards aligning with international technical standards are required is crucial. By prioritizing smart manufacturing process areas within the industry, policymakers can make well-informed decisions to advance smart manufacturing without blindly following international standardization in already well-established areas. To achieve this, the study utilizes a hierarchical analysis method including expert interviews and importance-performance analysis for the five major process areas. The findings underscore the importance of proactive participation in standardization for emerging technologies, such as data and security, instead of solely focusing on areas with extensive international standardization. Additionally, policymakers need to consider carbon emissions, energy costs, and global environmental challenges to address international trends in export and digital trade effectively.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.76-83
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• 2021

According to the rise of the 4th Industrial Revolution, the need for innovation networks through cooperation between participants is increasing to respond to rapidly changing technologies and corporate environments. Especially, cooperation is essential to solve and innovate problems faced SMEs lacking human and material resources. We conducted a study to revitalize the regional cooperation network by analyzing the current status and problems of the existing SME support network. As a result, We derived a strategy to create a foundation for a regional cooperation network through reorganization of existing cooperation networks, the establishment of customized policies for SMEs, and linkage of support projects. And we derived a strategy for establishing a specialized network for regional innovation as a result of research through Establishing a network for regional bases, strategies for fostering companies by growth stage, and utilizing local data. We expect that it will help establish a policy to support SMEs by preparing an organic cooperation system between local businesses and local networks.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.spc
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• pp.19-30
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• 2023

Recently, the government has provided support such as entering new markets, expanding sales channels, and supporting manpower, not just in the form of funding, to efficiently and effectively support limited national resources to improve corporate performance. In this study, we tried to find out the effect of government support for companies that have benefited from the Excellent Technology Research Center Project (ATC Project) and the World Class 300 project using propensity score matching. As a result of the analysis, the effect of government support for the ATC project became visible after the appointment period, while the effect of the World Class 300 project was insignificant. This means that when the size of the company is small, the effect of government support is more pronounced. This suggests that in order to maximize the effectiveness of government support, appropriate national policy interventions such as government innovation funding are needed when the size of the company is small. In this study, differences in the timing, performance indicators, and company size of policy support effects were found in the growth stage of a company from a mid- to long-term time series perspective, suggesting that support policies based on this need to be adjusted and redesigned.