• Electronics and Telecommunications Trends
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• 제36권1호
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• pp.99-108
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• 2021

Digital twins are digital replicas of objects and systems in the real world. These digital replicas in a virtual environment can be connected with smart sensors and a variety of analyses, and simulations of real-time data from these sensors enable effective the operation, rapid feedback, and future predictions of real world phenomena. Until now, digital twins have been adopted and used mainly in the field of manufacturing, especially for smart factories. As digital twins are expected to be useful not only for productivity improvement but also for social problem solving, it is predicted that they will be extended to other fields such as those of transportation and cities. Digital twins will especially help realize smart cities through real-time monitoring, operation, and predictions using virtual digital twin cities. This paper summarizes the trends in digital twins for smart cities, the concept of digital twins, their application to smart cities, the strategies of various countries, and the development status of companies.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 한국항해항만학회 2020년도 추계학술대회
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• pp.153-154
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• 2020

It can be replaced with a smart work service centering on tasks that do not require on-site work among container terminal tasks. Here, the cloud service is helpful for small and medium-sized stevedoring companies as it reduces the cost and time required for initial system construction, and allows you to pay usage fees as needed. This study introduces a case study on the development of web services that comply with industry standards so that advanced ICT can be used in connection with the terminal operation system.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제18권10호
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• pp.274-280
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• 2017

The smart-car industry has emerged as the important variable that will decide the future industrial contour of the automotive industry, together with commercialization of electronic vehicles, connected cars, infotainment, telematics, and the autonomous/self-driving car. This study analyzes the strategic position of platform companies and car manufacturers that would determine the future of the smart-car market. The findings of this study show that despite the entry barriers in industrial factors, such as economies of scale, the industrial infrastructure, and global production networks, and technical factors like exclusive head-sector information, car manufacturers may be deprived of their industrial leadership by platform companies with map and user data, big data capabilities, and user interface experience if they lag behind ICT innovation. This insight is based on the emerging importance of software and platforms, and the simplification of car structures, proven by the successful commercialization of electronic vehicles. This study complements existing studies mainly focused on technical aspects of the smart-car industry by examining the strategic dimensions of platform companies and their approach to the future smart-car market by comparing them with existing car manufacturing multinationals.

• Journal of Intelligence and Information Systems
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• 제19권4호
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• pp.21-37
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• 2013

Recently, as the advent of the knowledge-based society, there are more people getting interested in the intellectual property. Especially, the ICT companies leading the high-tech industry are working hard to strive for systematic management of intellectual property. As we know, the patent information represents the intellectual capital of the company. Also now the quantitative analysis on the continuously accumulated patent information becomes possible. The analysis at various levels becomes also possible by utilizing the patent information, ranging from the patent level to the enterprise level, industrial level and country level. Through the patent information, we can identify the technology status and analyze the impact of the performance. We are also able to find out the flow of the knowledge through the network analysis. By that, we can not only identify the changes in technology, but also predict the direction of the future research. In the field using the network analysis there are two important analyses which utilize the patent citation information; citation indicator analysis utilizing the frequency of the citation and network analysis based on the citation relationships. Furthermore, this study analyzes whether there are any impacts between the size of the company and patent citation relationships. 74 S&P 500 registered companies that provide IT and communication services are selected for this study. In order to determine the relationship of patent citation between the companies, the patent citation in 2009 and 2010 is collected and sociomatrices which show the patent citation relationship between the companies are created. In addition, the companies' total assets are collected as an index of company size. The distance between companies is defined as the absolute value of the difference between the total assets. And simple differences are considered to be described as the hierarchy of the company. The QAP Correlation analysis and MR-QAP analysis is carried out by using the distance and hierarchy between companies, and also the sociomatrices that shows the patent citation in 2009 and 2010. Through the result of QAP Correlation analysis, the patent citation relationship between companies in the 2009's company's patent citation network and the 2010's company's patent citation network shows the highest correlation. In addition, positive correlation is shown in the patent citation relationships between companies and the distance between companies. This is because the patent citation relationship is increased when there is a difference of size between companies. Not only that, negative correlation is found through the analysis using the patent citation relationship between companies and the hierarchy between companies. Relatively it is indicated that there is a high evaluation about the patent of the higher tier companies influenced toward the lower tier companies. MR-QAP analysis is carried out as follow. The sociomatrix that is generated by using the year 2010 patent citation relationship is used as the dependent variable. Additionally the 2009's company's patent citation network and the distance and hierarchy networks between the companies are used as the independent variables. This study performed MR-QAP analysis to find the main factors influencing the patent citation relationship between the companies in 2010. The analysis results show that all independent variables have positively influenced the 2010's patent citation relationship between the companies. In particular, the 2009's patent citation relationship between the companies has the most significant impact on the 2010's, which means that there is consecutiveness regarding the patent citation relationships. Through the result of QAP correlation analysis and MR-QAP analysis, the patent citation relationship between companies is affected by the size of the companies. But the most significant impact is the patent citation relationships that had been done in the past. The reason why we need to maintain the patent citation relationship between companies is it might be important in the use of strategic aspect of the companies to look into relationships to share intellectual property between each other, also seen as an important auxiliary of the partner companies to cooperate with.

• Proceedings of the Korea Technology Innovation Society Conference
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• 한국기술혁신학회 2015년도 추계학술대회 논문집
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• pp.847-866
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• 2015

As Korea strive to bolster their respective economies and to minimize the repercussions of the global financial crisis, policies for strengthening the innovative capabilities of small and medium enterprises have emerged as an important means for pursuing these governmental efforts. In this study, possibilities and limitations of R&D information support policy are researched empirically and implications are provided to enable evidence based policy. Futhermore, the effects of government R&D information support policy on the technological and economic performances of SMEs (small and medium enterprises) are analyzed by using survey results of SMEs technology statistics in 2014. According to the results, R&D information support program (SME R&D planning support program and technology information support program) provided to SMEs was significant for R&D investment. On the other hand, the program, did not exhibit any significant correlation to technological and economic outcomes of SME. The program was also found to have a significant correlation to SMEs' technological outcomes in the case of the specific groups of ICT technology category. I anticipate that the results of this study will serve as a guide to various policy-related issues for policymakers who are conceptualizing programs to support ICT technology-oriented SMEs, and I particularly hope that this study will provide various insights for companies and researchers in their efforts to build R&D information support program for SMEs.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• 제15권2호
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• pp.137-151
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• 2020

Since the global financial crisis, the employment rate of young people worldwide has been declining, and the situation in Korea has worsened. Recently, the employment rate has been restored to a small extent due to the implementation of various government policies on youth employment and entrepreneurship, and many young entrepreneurs have been produced. In addition, various types of youth farming enterprises are emerging as the system for encouraging home farmers and villagers and fostering young farmers has been expanded. In this regard, this study examines the influence of CEO's personal characteristics and government's support policies on corporate performance in starting and managing youth rural enterprises. The purpose of this study was to analyze the effect on the performance of rural enterprises. Through this study, it will be able to know what are the important factors for young people to achieve results in starting a rural enterprise. The results of this study suggest three implications. The first is that the personal characteristics of the CEO are important for the performance of youth start-up rural enterprises. Second, in support policy, educational support affects performance, but funding policy does not have a significant effect. Third, since ICT's environmental characteristics do not affect the CEO's personal characteristics and support policies and corporate performance, it is more important to find ways to utilize them directly in the field than to develop ICT's environmental characteristics.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• 제13권4호
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• pp.117-128
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• 2018

Various government support policies are being promoted in order to stimulate growth of SMEs. The government is striving to provide effective support through direct methods of tax, finance and indirect methods through support programs. However, the view on the government's startup policy is still tense. We are sympathetic with the need for support, but discussions continue to be made on the effectiveness of support projects and support projects. Therefore, this study evaluates the importance and satisfaction of the government start-up support project. For this purpose, we conducted questionnaires on ICT start-ups who have experienced government start-up support projects. Of these, 128 were analyzed for GAP analysis and ISA. As a result of the GAP analysis of the government start - up support project, the degree of satisfaction (4.408) was lower than the degree of importance (5.221), confirming that the beneficiary's evaluation on the start-up support project was negative. As a result of the importance-satisfaction analysis, 'R&D' and 'commercialization' are located in the maintenance area, and 'government funding', 'marketing, overseas advancement' projects are included in the concentrated area. In the low-ranking areas, there are 'entrepreneur events and networks' items. Finally, there are 'facilities and spaces', 'mentoring and consulting', and 'entrepreneurship education' in the surplus areas. As a result of multiple regression analysis, it was found that 'R&D', 'entrepreneurial education', and 'government funding' influenced satisfaction. Based on the results of this study, it is expected that it will contribute to improving the quality level of the government start-up support project by establishing the support policy for the ICT start-up enterprises and improving the system.

• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2008년도 춘계학술대회
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• pp.23-28
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• 2008

The growth of the number of places where technology standardization takes place, and the complex relationships among them, pose challenges for participating actors such as companies and governments. Additionally, it takes considerable resources and capabilities to participate in all Standards Development Organizations (SDOs). Some SDOs have been more effective and efficient in standardizing technologies than others. For this reason, actors need to evaluate and analyze different SDOs to select the appropriate SDO(s) for them and to strategically position themselves in standardizing technologies, so that they can gain more competitive positions in the ubiquitous market. However, it is surprising that there have been relatively few studies analyzing different SDOs. Thus, this study aims to gain insight into the differences and similarities between the methods used at four important international SDOs - IEEE, IETF, OMA, and ETSI - and how these methods are judged by participants. These insights can help governments and companies to develop policies and strategies for SDOs in this changing environment.

• Journal of Aerospace System Engineering
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• 제9권2호
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• pp.47-50
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• 2015

MSIP(Ministry of Science, ICT and Future Plaaning) established the 'space technology commercialization plan' at 2012. According to this plan, MSIP and KARI(Korea Aerospace Research Institute) are nuturing space-related venture companies so that those companies are increasing from 2013. In addition, MSIP and KARI held space-related idea festivals last two years, and will run start-up program (STAR-Exploration) this year.

• Journal of Intelligence and Information Systems
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• 제25권2호
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• pp.99-122
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• 2019

According to the recent IDC (International Data Corporation) report, as from 2025, the total volume of data is estimated to reach ten times higher than that of 2016, corresponding to 163 zettabytes. then the main body of generating information is moving more toward corporations than consumers. So-called "the wave of Big-data" is arriving, and the following aftermath affects entire industries and firms, respectively and collectively. Therefore, effective management of vast amounts of data is more important than ever in terms of the firm. However, there have been no previous studies that measure the effects of big data investment, even though there are number of previous studies that quantitatively the effects of IT investment. Therefore, we quantitatively analyze the Big-data investment effects, which assists firm's investment decision making. This study applied the Event Study Methodology, which is based on the efficient market hypothesis as the theoretical basis, to measure the effect of the big data investment of firms on the response of market investors. In addition, five sub-variables were set to analyze this effect in more depth: the contents are firm size classification, industry classification (finance and ICT), investment completion classification, and vendor existence classification. To measure the impact of Big data investment announcements, Data from 91 announcements from 2010 to 2017 were used as data, and the effect of investment was more empirically observed by observing changes in corporate value immediately after the disclosure. This study collected data on Big Data Investment related to Naver 's' News' category, the largest portal site in Korea. In addition, when selecting the target companies, we extracted the disclosures of listed companies in the KOSPI and KOSDAQ market. During the collection process, the search keywords were searched through the keywords 'Big data construction', 'Big data introduction', 'Big data investment', 'Big data order', and 'Big data development'. The results of the empirically proved analysis are as follows. First, we found that the market value of 91 publicly listed firms, who announced Big-data investment, increased by 0.92%. In particular, we can see that the market value of finance firms, non-ICT firms, small-cap firms are significantly increased. This result can be interpreted as the market investors perceive positively the big data investment of the enterprise, allowing market investors to better understand the company's big data investment. Second, statistical demonstration that the market value of financial firms and non - ICT firms increases after Big data investment announcement is proved statistically. Third, this study measured the effect of big data investment by dividing by company size and classified it into the top 30% and the bottom 30% of company size standard (market capitalization) without measuring the median value. To maximize the difference. The analysis showed that the investment effect of small sample companies was greater, and the difference between the two groups was also clear. Fourth, one of the most significant features of this study is that the Big Data Investment announcements are classified and structured according to vendor status. We have shown that the investment effect of a group with vendor involvement (with or without a vendor) is very large, indicating that market investors are very positive about the involvement of big data specialist vendors. Lastly but not least, it is also interesting that market investors are evaluating investment more positively at the time of the Big data Investment announcement, which is scheduled to be built rather than completed. Applying this to the industry, it would be effective for a company to make a disclosure when it decided to invest in big data in terms of increasing the market value. Our study has an academic implication, as prior research looked for the impact of Big-data investment has been nonexistent. This study also has a practical implication in that it can be a practical reference material for business decision makers considering big data investment.