• Journal of Engineering Education Research
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• v.26 no.6
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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.

• International Area Studies Review
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• v.13 no.3
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• pp.637-665
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• 2009

Since the globalization of the world economy in the 1990s, capital transfer and investment soared, which caused FDI and the effect of FDI on country competitiveness to increase. This study compared and examined how Korea, China and Japan's FDI developed throughout history and what characteristics they show. For the study, we considered country, firm and industry level factors by using institutional based perspective, resource based perspective and industry based perspective, and the derived the following results. Firstly, institutional factors are the main factors that led FDI in the three countries. Secondly, while Korea and Japan have a similar path in changing investment motives, China shows the opposite path. Thirdly, the growth rate of FDI scale changes due to the three countries' factor conditions and demand conditions.

• Archives of design research
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• v.18 no.3 s.61
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• pp.75-84
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• 2005

This study suggests the way of revitalization of strategic specialized industry from the perspective of design business model. In order to revitalize the regional strategic specialized industry, it is necessary to overcome traditional production-based industry structure. For the industry's side, companies should convert their traditional production-based business perspective into market-oriented or design-oriented one. For the designer's side, they need to lead the design-centered industry structure by suggesting active design sources to industries escaping from passive design development perspective. Namely, the revitalization of strategic specialized industry can be peformed by design-based and market-oriented business execution. The formation of market-oriented industry can be accomplished by designers who do their design development works with design-business perspective and play an active role in the industry system. For the suggestion of concept mentioned above, this study conceptualized the meaning of design business, and applied the concept of it to the case study for bamboo industry of Damyang province. The case study suggests the possibility that designers are able to create higher profit through various sources such as sales royalty, production royalty etc by playing an active role for design development, industry selection, business system establishment and so on. In addition, the study implies that industries can increase the possibility of business success through design-based business execution mentioned above.

• Journal of Korea Multimedia Society
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• v.25 no.8
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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.

• Journal of Information Technology Services
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• v.11 no.4
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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.

• Journal of Information Technology Services
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• v.21 no.1
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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.

• Journal of Information Technology Services
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• v.17 no.2
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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.

• Journal of Information Technology Services
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• v.1 no.1
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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.

• The Journal of Economics, Marketing and Management
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• v.1 no.1
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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.

• Journal of Korean Society for Quality Management
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• v.52 no.1
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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.