• 공학교육연구
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• 제26권6호
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• pp.30-39
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• 2023

This study was conducted with analyzing the perceptions of universities and industry regarding need analysis, curriculum design-implementation-outcomes, and the educational environment of the university evaluation institution from an industry perspective. First, as a result of analyzing the importance and implementation level of needs analysis, universities and industries recognized 'industrial trends in related fields' as the most important, but both groups perceived the implementation level to be significantly low. Second, as a result of analyzing the importance of implementing a curriculum based on industry needs, there was a difference in that universities recognized the 'adequacy of curriculum implementation based on industrial needs' and industries recognized the 'field training participation rate' as the most important. Third, as a result of analyzing the importance of curriculum outcomes based on industrial needs, it was found that both groups recognized 'field connection of major curriculum' as the most important. Fourth, as a result of analyzing the importance of the industry-university cooperative educational environment, it was found that both groups recognized 'construction and operation of experimental.practice educational facilities and infrastructure' as the most important. In short, the results of this study are expected to resolve the problem of mismatch between universities and industry in terms of talent development and education, and contribute to the effective implementation of the university evaluation institution from an industry perspective.

• 국제지역연구
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• 제13권3호
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• pp.637-665
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• 2009

1990년대 이후 세계경제의 글로벌화로 인해 자본이동과 투자규모가 증대되면서 전 세계 해외직접투자가 급격히 증가하였고, 해외직접투자가 국가경쟁력 강화에 미치는 영향 또한 증대되었다. 본 연구는 한국, 중국, 일본을 대상으로 해외직접투자 개시 시점에서 현재에 이르기까지 각 국의 해외직접투자가 역사적으로 어떻게 전개되어 왔으며 어떠한 특성을 보이는지를 비교분석하였다. 역사적 전개와 특성의 비교분석을 위해 제도적관점, 자원기반관점, 산업기반관점 등 국가, 기업, 산업수준의 요인들을 고려하여 다음과 같은 결론을 도출하였다. 첫째, 제도적인 요소가 공통적으로 3국의 해외직접투자를 이끈 주된 요인이며 둘째, 투자 동기변화에 있어 한국과 일본이 유사한 경로를 가지는 반면, 중국은 상이한 경로를 보여주고 있다. 셋째, 3국의 해외직접투자 성장 속도는 요소조건과 수요조건에 의해 달라진다.

• 디자인학연구
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• 제18권3호
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• pp.75-84
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• 2005

본 연구는 디자인비즈니스모델의 관점에서 지역의 전략적 특화산업 재활성화방안을 제안하였다. 지역의 전략적 특화산업을 재활성화하기 위해서는 과거의 전통적인 제조기반 산업구조에서 벗어나 산업체는 시장기반 혹은 디자인기반패러다임으로 전환해야 하고 디자이너는 수동적인 디자인개발관점에서 벗어나 능동적으로 디자인개발을 통해 산업체에 제안함으로써 디자인 주도적인 산업구조를 유도하여야 한다. 즉, 디자인중심의 시장지향적 산업전개를 통해 전략적 특화산업의 재창출이 가능하다. 이러한 산업구조의 형성은 디자이너가 디자인비즈니스적인 관점에서 접근하고 또한 산업시스템 내에서 의뢰 받은 디자인에 대한 개발의 수동적인 관점이 아닌 능동적인 역할을 수행할 때 가능하다. 이러한 개념을 제안하기 위하여 본 연구에서는 디자인비즈니스의 개념을 제안하고 이러한 개념을 담양군의 죽세산업에 적용하여 사례연구를 추진하였다. 사례연구를 통하여 디자이너는 주도적으로 디자인개발을 추진하고 산업체탐색과 생산아웃소싱업체의 탐색등 사업추진체제를 구축하는데 주도적인 역할을 수행하며 이에 따라 판매 로열티와 생산로열티 등 다양한 수입원천을 통해 수익을 창출 할 수 있는 가능성을 제안하였다. 아울러 이러한 디자인주도적인 산업전개에 따라 산업체는 시장에서의 성공가능성을 높일 수 있다고 제안하고 있다.

• 한국멀티미디어학회논문지
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• 제25권8호
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• pp.1122-1135
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• 2022

With the development of digital technology and the influence of the global pandemic, the metaverse, a three-dimensional virtual world, is receiving attention in society, economy and overall industry, and the manufacturing industry is also accepting it as a major strategic agenda for digital transformation. Therefore, in this study, the concept of the industry metaverse from the perspective of the manufacturing industry was defined, and the types of the industry metaverse were classified into four types by reflecting the characteristics of the manufacturing industry based on the general metaverse scenario presented in previous studies. These are Virtual behavior simulation, Augmented operation of business objects and Virtual experience simulation, Augmented decision of business subjects. In addition, through case analysis of solutions used in the manufacturing industry, it was confirmed that the central technology of the Industry Metaverse is the digital twin, and that it is being implemented by convergence with major digital technologies such as virtual reality, augmented reality, digital human, and AI. This study will be able to provide guidelines for future research on the metaverse from the perspective of the manufacturing industry and establishment of a digital transformation strategy for the industry.

• 한국IT서비스학회지
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• 제11권4호
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• pp.277-294
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• 2012

The purpose of this research is to analyze big data structure and various objects in big data industry based on ecological perspective. Big data is rapidly emerging as a highly valuable resource to secure competitiveness of enterprise and government. Accordingly, the main issues in big data are to find ways of creating economic value and solving various problems. However big data is not systematically organized, and hard to utilize as it constantly expands to related industry such as telecommunications, finance and manufacturing. Under this circumstance, it is crucial to understand range of big data industry and to which stakeholders are related. The ecological approach is useful to understand comprehensive industry structure. Therefore this study aims at confirming big data structure and finding issues from interaction among objects. Results of this study show main framework of big data ecosystem including relationship among object elements composing of the ecosystem. This study has significance as an initial study on big data ecosystem. The results of the study can be useful guidelines to the government for making systemized big data ecosystem and the entrepreneur who is considering launching big data business.

• 한국IT서비스학회지
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• 제21권1호
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• pp.145-161
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• 2022

The data is a key catalyst for the development of the fourth industry, and has been viewed as an essential element of the new industry, with technology convergence such as artificial intelligence, augmented/virtual reality, self-driving and 5 G. This will determine the price and value of the data as the user uses data in which the data is based on the context of the situation, rather than the data itself of the past supplier-centric data. This study began with, what factors will increase the value of data from a user perspective not a supplier perspective The study was limited to public data and users conducted research on users using data, such as analysis or development based on data. The study was designed to gauge the value of data that was not studied in the user's perspective, and was instrumental in raising the value of data in the jurisdiction of supplying and managing data.

• 한국IT서비스학회지
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• 제17권2호
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• pp.207-218
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• 2018

Recently, it becomes a big trend in the banking industry to apply a big data analytics technique to extract essential knowledge from their customer database. Such a trend is based on the capability to analyze the big data with powerful analytics software and recognize the value of big data analysis results. However, there exits still a need for more systematic theory and mechanism about how to adopt a big data analytics approach in the banking industry. Especially, there is no study proposing a practical case study in which big data analytics is successfully accomplished from the marketing perspective. Therefore, this study aims to analyze a target marketing case in the banking industry from the view of big data analytics. Target database is a big data in which about 3.5 million customers and their transaction records have been stored for 3 years. Practical implications are derived from the marketing perspective. We address detailed processes and related field test results. It proved critical for the big data analysts to consider a sense of Veracity and Value, in addition to traditional Big Data's 3V (Volume, Velocity, and Variety), so that more significant business meanings may be extracted from the big data results.

• 한국IT서비스학회지
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• 제1권1호
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• pp.29-43
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• 2002

Having Efficient Contracting Laws and Regulations is one of the critical success factors for SI (System Integration) industry growth. This paper explores problems in contracting systems for SI business. Two perspectives have been used in this analysis. One is on law itself perspective, the other is on industry growth perspective. A comprehensive survey on contracting practices has been done, and the structure of SI industry has been analysed. Also, characteristics of SI contracting processes have been analysed. A framework for efficient contracting laws and regulations for SI industry has been discussed based on the characteristics of SI business and SI industry. Future research will be needed to expand the current framework and to examine the effectiveness of the proposed framework.

• 융합경영연구
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• 제1권1호
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• pp.1-14
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• 2013

Firstly, this article expounds that business service industry plays an important role in adjusting industrial structure, transforming mode of economic growth, improving people's living standards, enhancing Enterprise's Kernel Competitiveness and promoting the development of service industry. Then it analyzes the development of business services in Shandong from two perspectives. The first perspective, by using methodology for statistical analysis, it will review the development scale, professional level, the number of opening units, quantity of employment, and operating revenue of business services in Shandong. On this basis, the article will summarize its development characteristics, experience and existing shortcomings. The second perspective, by using comparison analysis methodology, to compare the development of Shandong with Jiangsu, Guangdong, Zhejiang and Shanghai's and found the subjective and objective factors that restrict the development of business service industry in Shandong. In the light of restricting factors, countermeasures have been developed based on the experience at home and abroad. These countermeasures will contribute to promoting the optimization and upgrading of industrial structure, improving industrial competitiveness and speeding up the economic development rapidly and stably.

• 품질경영학회지
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• 제52권1호
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• pp.77-93
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• 2024

Purpose: The purpose of this study is to examine machine learning use cases in manufacturing companies from a digital quality management (DQM) perspective and to analyze and present machine learning research patterns from a quality management perspective. Methods: This study was conducted based on systematic literature review methodology. A comprehensive and systematic review was conducted on manufacturing papers covering the overall quality management process from 2015 to 2022. A total of 3 research questions were established according to the goal of the study, and a total of 5 literature selection criteria were set, based on which approximately 110 research papers were selected. Based on the selected papers, machine learning research patterns according to quality management were analyzed. Results: The results of this study are as follows. Among quality management activities, it can be seen that research on the use of machine learning technology is being most actively conducted in relation to quality defect analysis. It suggests that research on the use of NN-based algorithms is taking place most actively compared to other machine learning methods across quality management activities. Lastly, this study suggests that the unique characteristics of each machine learning algorithm should be considered for efficient and effective quality management in the manufacturing industry. Conclusion: This study is significant in that it presents machine learning research trends from an industrial perspective from a digital quality management perspective and lays the foundation for presenting optimal machine learning algorithms in future quality management activities.