• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.276-287
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• 2021

Project Management Information System (PMIS) is a special purpose information system that is created to provide useful information for project managers and participants to make effective and efficient decision making during projects. The use of PMIS is increasing in project based industries such as construction, defense, manufacturing, software development, telecommunication, etc. It is generally known that PMIS helps to improve the quality of decision making in project management, and consequently improves the project management performance. However, it is unclear what are the difference of PMIS impacts between industries, and still need to be studied further. The purpose of this study is to compare the impact of PMIS on project management performance between industries. We assume that the effects of PMIS will be different depending on the industry types. Five hypotheses are established and tested by using statistical methods. Data were collected by using a survey questionnaire from those people who had experience of using PMIS in various project related industries such as construction, defense, manufacturing, software development and telecommunication. The survey questionnaire consists of 5 point scale items and were distributed through e-mails and google drive network. A total of 181 responses were collected, and 137 were used for analysis after excluding those responses with missing items. Statistical techniques such as factor analysis and multiple regression are used to analyze the data. Summarizing the results, it is found that the impacts of PMIS quality on the PM performance are different depending on the industry types where PMIS is used. System quality seems to be more important for improving the PM performance in construction industry while information quality seems more important for manufacturing industry. As for the ICT and R&D industries, PMIS seems to have relatively lesser impact compared to construction and manufacturing industries.

• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.347-358
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• 2016

ICT sector has been made a great deal of achievements for past 20 or more years in the aspects of the industrial promotion and the efficiency improvement under the strong leadership by the government for the informatization and still leads the Korean industries. However, the previous studies are mostly on how the quantitative growth of patents impacts a company's management achievements while being insufficient on the qualitative level. In this study, an analysis is attempted on the impact from the qualitative level of patents held by a ICT company leading Korean industry to its management achievements. In other words, if the concentration of technological innovation activities, a scale to measure the qualitative level of possessed patents is influential to the growth and the profit of a company is analyzed. The analysis result shows that the current time technological superiority index, RTA and the concentration index, CRn of the technological innovation activities significantly impact to the growth and the profit of company. This study demonstrates the positive impact from a highly qualitative level of patents to the growth and the profit of a company in ICT sector in the current circumstance of insufficient researches on the qualitative level of patents. Therefore, this study is expected to present a new start point for the future studies.

• Journal of Service Research and Studies
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• v.6 no.2
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• pp.153-174
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• 2016

This empirical study attempted to investigate the effects of the CEO's transformational leadership on the organizational members' innovative behavior/organizational citizenship behavior, CSR and employees' acceptance of organizational change in the ICT industry. For this study, we conducted an online survey with the employees of businesses that belonged to the ICT industries and received 417 valid responses. The analysis results by SPSS & AMOS are as follows. CEO's transformational leadership had a significantly positive impact on the members' self-efficacy. The members' self-efficacy not only had a positive impact on their own innovative behavior/organizational citizenship behavior, but also had a mediating effects in the relationship between CEO's transformational leadership and the members's innovative behavior/organizational citizenship behavior. Also corporate social responsibility management had a moderating roles in the relationship between CEO's transformational leadership and the members' self-efficacy.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.23-29
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• 2020

Data generated by the development of ICT, the diversification of ICT devices and services and the expansion of social media are categorized as big data characterized by the amount, variety and speed of the data. The spread of the use of big data is expected to have the effects of identifying the status quo by analyzing data in all industries, predicting the future, and creating opportunities to apply it. However, while it is imperative for these things to be done, the nation still lacks professional training institutions or curricula. In this case study, we will investigate and compare the state of education for the training of big data personnel in Korea, find out what level and level of education is being trained to nurture balanced professionals, and prepare an opportunity to think about how it can help students create value at a time when the need for education is growing in the wake of awareness of big data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.618-620
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• 2019

Smart Farm, which combines agriculture and ICT convergence technology, is at a lower stage than other industries in Korea, but it is also one of the most active research and development fields. Smart Farm aims to improve the efficiency of each step by collecting, processing and analyzing various information of agriculture sector through convergence between agriculture and ICT technology. In this study, we studied the image processing method that can distinguish strawberry which can be harvested at harvest time by color for smart farm composition of strawberry which is a horticultural crop. Strawberry harvesting requires a lot of labor in the process of growing strawberries. In this study, we aim to collect information necessary for labor saving in strawberry harvester. As a precedent study, we plan to implement a form in which the color temperature changes according to the light direction and brightness value through OpenCV color detection using Python. In the future, it is planned to study strawberry color value suitable for harvest by applying compensation value to color temperature change.

• Journal of Positioning, Navigation, and Timing
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• v.12 no.2
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• pp.185-200
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• 2023

The Korea Augmentation Satellite System (KASS) is the first satellite navigation enhancement system in Korea developed in compliance with international standards. Technologies accumulated during the development process should be spread to industries such as academia and serve as the basis for developing the domestic satellite navigation field. This paper introduces the development process from design to implementation, testing, and verification of KASS control systems (KCS). First, development standards, milestones, requirements, and interface standards are presented as KCS development methods, and major functional design, physical design, and hardware/software implementation are described based on the allocated requirements. Subsequently, the verification environment, procedures, and results of the development product are covered and the developed operational and maintenance procedures are described. In addition, based on the experience gained through the development, suggestions were made for beneficial technology development and organization when promoting satellite navigation projects in the future. Since this work has important historical value for the development of domestic satellite navigation, it is expected that the development results will be shared with academia and industry in the future and be used as basic data for similar development.

• Advanced Industrial SCIence
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• v.3 no.2
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• pp.17-22
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• 2024

Recently, as the ICT field has been used in various environments, it has become possible to analyze pests by crops, use robots when harvesting crops, and predict by big data by utilizing ICT technologies in a sustainable agricultural environment. However, in a sustainable agricultural environment, efforts to solve resource depletion, agricultural population decline, poverty increase, and environmental destruction are constantly being demanded. This paper proposes an artificial intelligence-based big data processing analysis method to reduce the production cost and increase the efficiency of crops based on a sustainable agricultural environment. The proposed technique strengthens the security and reliability of data by processing big data of crops combined with AI, and enables better decision-making and business value extraction. It can lead to innovative changes in various industries and fields and promote the development of data-oriented business models. During the experiment, the proposed technique gave an accurate answer to only a small amount of data, and at a farm site where it is difficult to tag the correct answer one by one, the performance similar to that of learning with a large amount of correct answer data (with an error rate within 0.05) was found.

• Journal of Korea Multimedia Society
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• v.18 no.9
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• pp.1105-1117
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• 2015

During the last decade, the business infrastructure has become digital with increased interconnections among products, processes, and services. Across many firms spanning different industries and sectors, digital technologies are fundanmentally transforming business stratiges, business processes, firm capabilities, productes and services, and key interfirm relationships in extended business networks. With the emergence of smartphones, the paradigm of the ICT industry is rapidly changing as the line between global and local markets are being blurred. In the changing global environment, although some game companies are accelerating the improvement of their global competitiveness and cases of successes of venture enterprises by developing biosimilar technology are being discovered, majority of ICT companies are focusing on limited marketing activities to get subcontracts or projects from large companies. Thus the aim of this study is to find out how digital ecosystems evolve and how business models and strategies have changed of individual companies according to the evolution of the digital ecosystems.

• Journal of Information Technology Services
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• v.17 no.1
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• pp.47-58
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• 2018

In this study, we define Fintech services as review previous literatures and identify the traditional Fintech service market for analysing the economic effects of the Fintech Industry by using the 2014 Input-Output Table. We can identify the current market of Fintech industry which consists of VAN, PG, financial SW, mobile banking and Fintech R&D and we conduct Input-Output analysis by using non-competitive import model. The Input-Output analysis results show that production inducement effect and front/rear chain effect of the Fintech Industry are below average of other industries. This is because the Fintech technology and industry were emerging in Korea at that time (2014), and thus the ripple effects are not significant. Especially, due to the existing white risk financial regulation, new business opportunities have not been open to adapt new ICT-financial technologies. Therefore, when the business ecosystem is build through deregulation and platforms of the financial sector, it is expected that the Fintech Industry will have a high ripple effect. In this study, we identify the current market of Fintech industry from ICT indusries and conduct Input-Output analysis. The economic effects of the Fintech industry are not remarkable, but it is significant to identify the emerging market and present the basic analysis of issued research field.

• Journal of Information Technology Applications and Management
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• v.26 no.6
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• pp.65-78
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• 2019

This study describes the accounting approach of separating the value chain components that occur between the origin and destination of a country's total exports, and applied this analysis to the nation's information and communication industry. As a result of this study, the analysis results of ICT's global value chain for the United States and China, focusing on Korea, are as follows: First of all, the value added standard was relatively lower than the export amount standard for the information and communication industry. In particular, the gap was starkly visible in the information and communication manufacturing sector, where global vertical specialization was developed relatively. As a representative sector, the computer-related equipment sector exported to China became more specialized vertically than other information and communication industries. Next, the method of participating in vertical specialization of Korea's information and communication sector and its relative position in the global value chain came from domestic products (0.25/35.16) whose total exports, which were double calculated in the case of the U.S. market, returned home. On the other hand, about 32.68 percent returned to the Chinese market. Finally, in the global value chain level, the SW sector occupied a medium vertical culture location for the information and communication equipment sector and the information and communication service sector.