• Journal of Korea Technology Innovation Society
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• v.9 no.4
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• pp.627-653
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• 2006

The purpose of this study lies in understanding how the spectrum assigned for each mobile operator affects the consumers of mobile service. For this purpose, we have observed the change of path coefficient in the structural equation, using control variables. However, the structure of the mobile service market in Korea has become fixed. Considering this tendency and the conclusion of this study, the 'lock-in effect' occurs seriously in the mobile service market in Korea. It can be explained by the fact that CS(Customer Satisfaction) of the cellular subscribers little affects customer loyalty but the market dominance of the cellular service in the actual market has continued for a long time. In this study, we figured out a strong prejudice about call quality, which is caused by spectrum difference among competitors. Cellular subscribers tends to believe that call quality of their cellular service is better than that of PCS. In addition, we found that PCS operators can catch customer's retention by investment into network in order to increase call quality.

• Journal of Korea Technology Innovation Society
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• v.20 no.4
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• pp.1122-1158
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• 2017

Government-funded research institutes in the field of science and technology of Korea have contributed to the growth of the national economy and industrial development since the 1960s. However, those institutes recently have faced with criticism over the R&D performance on investment. Accordingly, we suggest two analytical approaches that estimate the economic benefit of the R&D performance of those institutes, (1) 'bottom-up' approach that aggregates the economic benefits of individual performances, e.g., technology transfer, technology support for small and medium enterprises, and the supply of researcher manpower and (2) 'top-down' one that estimates the contribution of those institutes on the economic growth of the industries that the R&D performance of those institutes is mainly utilized. In addition, by applying two approaches, we computed the economic benefit of the performance of the K institute in the 1996-2014 periods at 12.3 trillion won and 29.5 trillion won, respectively. Lastly, we suggest the feasibility of two approaches from the perspective of complementarity. Our study provides analytical approaches that estimate the economic benefit of the R&D performance from government funded research institutes in Korea. Lastly, our study contributes to the understanding of public on science and technology as well as the enhancement of legitimacy on those institutes among the public.

• Journal of Korea Technology Innovation Society
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• v.20 no.4
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• pp.939-969
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• 2017

The interest in social regulation and its influence on innovation are increasing as the society concerns more for environment and safety. There have been plenty of literature about the impact of social regulation on innovation and its mechanism. Majority of research have been influenced by or based on the famous Porter's hypothesis. However, majority of the literature focus on internal factors such as expected benefits from change of regulations, and it is hard to find one studying social regulation's influence on innovation through external factors such as market or industrial structure. This study addresses this issue of the impact of social regulation on innovation by analyzing the case of fire-retardant coating material for steel structure industry in Korea. It scrutinizes the impact of social regulation which affects competition and innovation on substitute competing market, and tries to reveal that there might exist the other path to innovation, besides the way that the expected benefit from compliance of regulation directly drives innovation. As a result of the case study, we have found that changes in social regulation may act like economic regulation and restructure the market segment and this effect may lead to innovation. It can be explained by the fact that expected benefits from compliance of regulation can be a direct source of innovation, as Porter suggested, but the change of industry structure and competitive strength caused by the change in social regulation can also act as a driving force of innovation.

• Korean Journal of Construction Engineering and Management
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• v.21 no.4
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• pp.72-81
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• 2020

Sustainable development goals (SDGs) are designed to promote human and social development and address challenges related to sustainable economic development, in addition to creating quality employment. SDGs create new market and business opportunities that enable companies to effect business changes through innovative solutions. To tackle structural problems and create infrastructure for future societies, a national-level digital transformation strategy is being developed in Korea. The Korean government announced an investment plan for living social overhead capital (SOC) to address various social and structural problems caused by low economic growth. This study emphasizes the importance of building SOCs in accordance with the requirements of future societies. This study primarily aims to suggest business opportunities created by achieving SDGs, by analyzing business cases involving 3D printing-based construction. Implementing living SOCs through ingenious thinking will not only create new businesses and jobs through digital transformation, but also improve the economic and social value by encouraging community members to be proud of their future society.

• Korean Journal of Comparative Education
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• v.27 no.1
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• pp.171-197
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• 2017

China's independent college approved private education investment, and facilitates the use of funds to support individual investors, corporations, and society. In contrast to China's public universities, the college guarantee private school method of operation. Its bachelor's degree, admission to students, the establishment of a separate corporation, and the recognition of scholastic achievements, was established with the aim of ensuring the diversity of higher education institutions in China. However, since the early 1990s, the independent college, which has emerged as a new way of higher education in China, has achieved quantitative growth over the past 30 years, but the quality of education has not yet grown. The reason why the independent college in China is interested is that it receives support from the facilities and professors of the original public college, and the major in which it is established and shares the reputation of the university. This study tried to analyze the policy of independent college which is a unique higher education institution in China. For this purpose, we use Four-Dimensional Framework to analyze the problem of China's independent colleges. It examines the profitability and non-profitability of independent college as a normative dimension and analyzes the Chinese society that have the old "guanxi" culture core in China. On the structural dimension, we analyzed the structure of the relationship in educational administrative institution. On the constituentive dimension, we observed that the various stakeholders who are interested in the independent college policy. Finally, we searched for future directions of the independent college centered on the process of legalization of independent colleges in technical dimension. The results of this analysis suggest the implications of the direction of China's independent college policy.

• International Area Studies Review
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• v.20 no.2
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• pp.113-140
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• 2016

This paper first extracts the main basis for the Middle-Income Trap(MIT) to apply these grounds to reality of the Chinese economy. And then confirmed crisis factors of China economy. Also discussed then the economic reforms of China in order to not fall into the MIT. After reviewing previous research extracted six factors the results will correspond to comply with the Chinese economy. Those are 'Over-investment', 'excess capacity' 'reduction of TFP continued,' 'disappearance and the aging of the population bonus', 'excessive debt and structural adjustment and financial instability of the company', 'income unequal expansion', 'low financial and information infrastructure accessibility', and 'low transparency index'. China's policy direction to avoid the MIT generally set properly, but proof that implementation process not easy, was appearing everywhere. After all, China economy should be modified now to a reforms of 'government failure' and promotion of function for ongoing restructuring system in the market. Because of the SDR incorporation from 2015, it is inevitable to face major constraints in the external aspects.

• Journal of the Korea Society of Computer and Information
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• v.24 no.11
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• pp.87-98
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• 2019

In recent years, many organizations protect their information resources by investing in information security technology. However, information security threats from insiders have not been reduced. This study proposes a method for reducing information security threats within an organization by mitigating negative information security behaviors of employees. Specifically, the study finds a relationship between information security related role stress and negative behavior and suggests whether organizational justice mitigates role stress. That is, the purpose of the study is to suggest a mechanism between organizational justice, information security related role stress, and negative behavior. Negative behavior consist of avoidance behavior and deviant behavior, and security related role stress consist of role conflict and role ambiguity. Organizational justice consist of distributional justice, procedural justice, and informational justice. The research model is verified through structural equation modeling. After establishing a research model and hypothesis, we develop a survey questionnaire and collect data from 383 employees whose organizations have already implemented security policies. The findings appear that security related role stress increases negative behavior and that organizational justice mitigates role stress. The results of the analysis suggest the direction of organizational strategy for minimizing insider's security-related negative behaviors.

• Journal of Korea Port Economic Association
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• v.25 no.3
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• pp.183-206
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• 2009

The purpose of this study is to suggest the new strategies for strengthening the competi tiveness of Incheon port. To measure the calling factors and satisfaction of ports, this study developed a list of 24 items using a seven-point Likert scale through the previous literature reviews, pilot test and emerging factors. Factor analysis, regression analysis, one sample T-test, IPA and SPSS were conducted to verify the determinants choosing ports and customer satisfaction. The result of an empirical study revealed that the cargo volume and information system, etc. in Incheon port was evaluated as satisfied factors and berth availability and port charge, etc. as dissatisfied factors. Based on the outcomes of this study, to strengthen the competitiveness of Incheon port, several strategies were advised such as the inducement of North American and European cargo, port infrastructure, dedicated terminal and GTO inducement, hinterland construction, logistics companies inducement and cooperation with neighboring ports.

• Journal of the Korea Society of Computer and Information
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• v.18 no.11
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• pp.181-190
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• 2013

This study first aims to investigate from the users' perspective what service is the most efficient to users and what service is relatively the most effective in contrast to investment among a variety of services provided by smartphone manufacturers, telecommunication companies, and related corporations. In addition, this research suggests implicatively important elements for making the future model of smartphone services. For this end, this study finds out the factors which generate users' positive or negative attitudes towards smartphone use through a questionnaire of those who are using smartphones at present. In particular, by applying Theory of Planned Behavior, this study analyzes the influence exerted by the user's belief towards the kinds of services by setting up Attitudinal Belief, Subjective Norms, and Control Belief which have an influence on attitude from the perspective of smartphone providing detailed services. The results of this study will eventually help the smartphone manufacturers, telecommunication companies, and related corporations to establish smartphone marketing strategy as well as to select the smartphone services which will have popular appeal to their users.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.5
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• pp.574-583
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• 2021

Predicting shipping markets is an important issue. Such predictions form the basis for decisions on investment methods, fleet formation methods, freight rates, etc., which greatly affect the profits and survival of a company. To this end, in this study, we propose a shipping freight rate prediction model for container ships using gated recurrent units (GRUs) and long short-term memory structure. The target of our freight rate prediction is the China Container Freight Index (CCFI), and CCFI data from March 2003 to May 2020 were used for training. The CCFI after June 2020 was first predicted according to each model and then compared and analyzed with the actual CCFI. For the experimental model, a total of six models were designed according to the hyperparameter settings. Additionally, the ARIMA model was included in the experiment for performance comparison with the traditional analysis method. The optimal model was selected based on two evaluation methods. The first evaluation method selects the model with the smallest average value of the root mean square error (RMSE) obtained by repeating each model 10 times. The second method selects the model with the lowest RMSE in all experiments. The experimental results revealed not only the improved accuracy of the deep learning model compared to the traditional time series prediction model, ARIMA, but also the contribution in enhancing the risk management ability of freight fluctuations through deep learning models. On the contrary, in the event of sudden changes in freight owing to the effects of external factors such as the Covid-19 pandemic, the accuracy of the forecasting model reduced. The GRU1 model recorded the lowest RMSE (69.55, 49.35) in both evaluation methods, and it was selected as the optimal model.