• The Korean Journal of Community Living Science
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• v.28 no.4
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• pp.653-667
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• 2017

The purpose of this study were to investigate the socio-economic impacts of urban-to-rural migration on the rural community and to identify the factors influencing rural residents' recognition of the socio-economic impacts of urban-to-rural migration on the rural community. For the purpose, this study analyzed Korea Rural Economic Institute's rural residents survey(2016), using multiple regression model. The main finding of this study were as follows: Positive social impacts of urban-to-rural migration on rural community were (1) contributing to community sustainability through population growth, (2) contributing to securing agricultural human resources, and others. Negative social impacts of urban-to-rural migration on rural community were (1) increasing unnecessary complaints and deepening distrust, (2) weakening of community consciousness, and others. Positive economic impacts of urban-to-rural migration on rural community were (1) increasing the value of residents' property, (2) contributing to local finance through increased local tax revenue, and others. Negative economic impacts of urban-to-rural migration on rural community were (1) difficulty of scaling farmland due to small-scale farming, (2) land shortage caused by rising land prices, and (3) fierce competition to secure labor force. According to the multiple regression analysis, the major factors influencing rural residents' recognition of the socio-economic impacts of urban-to-rural migration were (1) villagers' general attitude toward urban-to-rural migrants, (2) urban-to-rural migrants' community participation, (3) age, and (4) fitness of village in urban-to-rural migration.

• Journal of Korea Port Economic Association
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• v.19 no.2
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• pp.1-32
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• 2003

The purpose of this study is to identify and evaluate the competitiveness of ports in ASEAN(Association of Southeast Asian Nations), which plays a leading role in basing the hub of global logistics strategies as a countermeasure in changes of logistics environments. This region represents most severe competition among Mega Hub ports in the world in terms of container cargo throughput at the onset of the 21st century. The research method in this study accounted for overlapping between attributes, and introduced the HFP method that can perform mathematical operations. The scope of this study was strictly confined to the ports of ASEAN, which cover the top 100 of 350 container ports that were presented in Containerization International Yearbook 2002 with reference to container throughput. The results of this study show Singapore in the number one position. Even when we compare with major ports in Korea (after getting comparative ratings and applying the same data and evaluation structure), the number one position still goes to Singapore and then Busan(2) and Manila(2), followed by Port Klang(4), Tanjung Priok(5), Tanjung Perak(6), Bangkok(7), Inchon(8), Laem Chabang(9) and Penang(9). In terms of the main contributions of this study, it is the first empirical study to apply the combined attributes of detailed and representative attributes into the advanced HFP model which was enhanced by the KJ method to evaluate the port competitiveness in ASEAN. Up-to-now, none has comprehensively conducted researches with sophisticated port methodology that has discussed a variety of changes in port development and terminal transfers of major shipping lines in the region. Moreover, through the comparative evaluation among major ports in Korea and ASEAN, the presentation of comparative competitiveness for Korean ports is a great achievement in this study. In order to reinforce this study, it needs further compensative research, including cost factors which could not be applied to modeling the subject ports by lack of consistently quantified data in ASEAN.

• Journal of the Society of Naval Architects of Korea
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• v.57 no.3
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• pp.140-151
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• 2020

It is important to identify the location of ship hull blocks with exact block identification number when scheduling the shipbuilding process. The wrong information on the location and identification number of some hull block can cause low productivity by spending time to find where the exact hull block is. In order to solve this problem, it is necessary to equip the system to track the location of the blocks and to identify the identification numbers of the blocks automatically. There were a lot of researches of location tracking system for the hull blocks on the stockyard. However there has been no research to identify the hull blocks on the stockyard. This study compares the performance of 5 Convolutional Neural Network (CNN) models with multi-view image set on the classification of the hull blocks to identify the blocks on the stockyard. The CNN models are open algorithms of ImageNet Large-Scale Visual Recognition Competition (ILSVRC). Four scaled hull block models are used to acquire the images of ship hull blocks. Learning and transfer learning of the CNN models with original training data and augmented data of the original training data were done. 20 tests and predictions in consideration of five CNN models and four cases of training conditions are performed. In order to compare the classification performance of the CNN models, accuracy and average F1-Score from confusion matrix are adopted as the performance measures. As a result of the comparison, Resnet-152v2 model shows the highest accuracy and average F1-Score with full block prediction image set and with cropped block prediction image set.

• STI Policy Review
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• v.7 no.2
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• pp.60-84
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• 2016

What impact does the sharing economy have on existing businesses? This paper empirically examines how Uber transformed the taxi industry in New York City. Using a regression model controlling various potential influencing factors, we find no direct evidence that daily trips or revenue per taxi driver decreased since Uber entered the taxi industry. However, a closer investigation into other dimensions of taxi trips reveals that taxi drivers were forced to change their way of doing businesses to retain existing daily trips and revenue. Since Uber crowded out yellow taxis from the central area of Manhattan, yellow taxis responded by serving customers outside of the Manhattan borough. From enlarging their geographical coverage and serving customers that were previously ignored, yellow taxis were able to retain their previous level of taxi trips and market share. We also find that yellow taxis responded by improving their service quality to better serve customers' needs. Our result suggests that incumbents actively responded to Uber's entry and provided substantial benefit to consumers. Combined with the incumbent's response, the sharing economy transformed the existing market in a welfare-enhancing way. This paper provides managerial and policy implication on how incumbents affected by the disruptions of the sharing economy should respond. Even though it might be yet premature to examine the impact of Uber, results suggest that incumbents have effectively defended against Uber's entry so far. We conclude that the sharing economy and the existing economy can create positive value in our society through well-intentioned competition, complementing each other's weaknesses and strengths.

• International Commerce and Information Review
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• v.15 no.1
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• pp.333-356
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• 2013

The main purpose of this article is to find out the determinants of usage and performance of the uTradeHub system in Korean SMEs. To achieve the purpose of the study, the research model and the hypotheses were developed based on the previous research on uTradeHub and e-Trade. And to test the research hypotheses, empirical survey was conducted to Korean SMEs which were using uTradeHub services. The results of the empirical analyses are as follows. First, among the external factors, intra-industry competition and transaction intensity were significant determinants of uTradeHub usage level. Secondly, among the internal factors, only CEO's support was found to be a significant determinant. Thirdly, among the IT related factors, IT infrastructure and IT training were positively related to uTradeHub usage level. Finally, the uTradeHub usage level was found to have positive effect both on financial and non-financial export performance of the Korean SMEs.

• Journal of Digital Convergence
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• v.9 no.3
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• pp.105-116
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• 2011

The innovation is an important element controlling national economic growth and the competitive power reinforcement of the company. The developed nations concentrate interest on upbringing and investment in knowledge intensive industry and advanced technology base industry for national competitive power reinforcement. I support in particular it as Korean representative industry in the case of the advanced technology base industry positively in the government. Though a patent can become the important competition predominance element of the company by such an advanced technology base industry, this and the proof study in the country to be concerned with are the facts that are not enough now. As for the article of the book, what kind of difference there is in importance by IT and BT industry distinction comment on current events value factors of the patent valuation; of the study is aimed. I derived an importance factor among factors shown in the valuation model of the patent valuation organization and an existing precedent study for comparison analysis in the study and used it. In addition, it was analysis hello it utilized AHP technique, and what kind of difference patent value evaluation important factors showed by IT and BT industry distinction. Analysis, Because patent value evaluation important factors showed a difference by industrial distinction, I appeared.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.177-188
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• 2020

In the digital world, creative industries such as music, movies, and drama have been the most impacted by digital transformation. As these contents were converted to a digital format of 0s and 1s, the business model changed and so did the rules of competition in the market. Apple, Spotify, and Netflix were quick to ride the digital transformation wave to become market leaders in the creative industry. This study reviews case studies in the creative industry to grasp the important factors necessary for market restructuring using digital technology. It was found that companies that set visions, platform, and open innovation as business strategies were able to achieve critical mass and become market leaders. These three elements are commonly found in the contents industry. On the other hand, companies that did not embrace digital innovation have become victims of digital darwinism. By analysing the experience of digital product innovation through case studies in the creative industry, we can derive implications for digital transformation in the 4th industrial revolution.

• Journal of The Korean Association For Science Education
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• v.4 no.2
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• pp.57-63
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• 1984

An inquiry approach in teaching science has been advocated by many science educators for the past few decades, and most elementary and secondary science curricula have incorporated it in varying degrees. It has been proven in recent studies, however, that there exists considerable discrepancy between the expectation of outcomes of the inquiry approach and the actuality. This in part implies that there is a somewhat urgent need for the systematic evaluation of the approach in teaching science. The purpose of this study is to develop a comprehensive instrument for evaluating inquiry teaching approaches embedded in science curricular materials. To develop a more valid and reliable instrument a set of empirical data was used in the developmental procedure, and most of the previous studies regarding inquiry teaching method and inquiry evaluation were consulted. The inquiry evaluation method developed in this study, called the Scientific Inquiry Evaluation Inventory (SIEI), is composed of three parts: (1) analyzing and coding each science process task of inquiry activity; (2) evaluating each inquiry activity as a whole; and (3) evaluating each science laboratory curriculum as a whole. The first part of the instrument consists of twenty science process categories and thirty subcategories grouped into four sections: (1) gathering and organizing data; (2) interpreting and analyzing data; (3) synthesizing results and evaluation; and (4) hypothesizing and designing an experiment. The science process categories are arranged according to the level of difficulty, psychological level of thinking, degree of creativity demand, and the model of the process of scientific inquiry, which is also developed in the study. The second part of the instrument contains four evaluation scales of inquiry activity: (1) competition/cooperation scale; (2) discussion scale; (3) openness scale; and (4) inquiry scope scale. And the last part consists of three methods for evaluating a science laboratory curriculum as a whole: (1) inquiry pyramid; (2) inquiry index; and (3) difficulty index. The instrument is designed to be used by teachers, science curriculum developers and science education evaluators for the purpose of diagnosing the nature and appropriateness of scientific inquiry introduced in secondary science curricular materials, especailly in laboratory work and field work.

• Convergence Security Journal
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• v.17 no.2
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• pp.153-158
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• 2017

The robot imitates humans and recognizes the external environment and judges the situation. The robot is a machine that operates autonomously. Robots are divided into manufacturing robots and service robots. Service robots are classified as professional service robots and personal service robots. Because of the intensified competition of productivity in manufacturing industries, rising safety issues, low birth rate and aging, the robots industry is emerging. Recently, the robot industry is a complex of advanced technology fields, and it is attracting attention as a new industry where innovation potential and growth potential are promising. IT, BT, and NT related elements are fused and implemented, and the ripple effect is very large. Due to changes in social structure and life patterns, social interest in life extension and health is increasing. There is much interest in the medical field. Now the artificial intelligence (AI) industry is growing rapidly. It is necessary to secure global competitiveness through strengthening cooperation between large and small companies. We must combine R&D investment capability and marketing capability, which are advantages of large corporations, and robotic technology. We need to establish a cooperative model and secure global competitiveness through M&A.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.571-575
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• 2007

With intensive competition due to the limited growth of the domestic construction market volume and the opening and construction boom of international construction market, construction firms register to grope strategy of enterprise dimension for improvement such as entry extension of domestic construction market order corporate strategy and international construction market. In this research, influence factors of corporate strategy are extracted and their interrelationships are presented in the domain of change of external environment with the internal and external market system, construction enterprise's internal capacity and corporate strategy, government and the internal and external market. The result of this research will be used for quantitative analysis through system dynamics simulation and basic data of model effectiveness verification through actuality domestic construction enterprise's case study, and can be used to basic data of new corporate strategy establishment because construction enterprise forecasts effect hereafter establishing corporate strategy in construction environment that change rapidly.