• Korea Trade Review
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• v.45 no.2
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• pp.103-119
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• 2020

As the easy payment service is popularized and the competition in the service market is fierce, research on factors affecting users' continuous use of the easy payment service is becoming increasingly important. However, in the existing studies, the discussion of the continuous intention to use the consumer's simple payment service has not been sufficiently conducted. Existing research remains on the way of listing technology and consumer characteristics. To bridge this research gap, this study aims to integrate and modify ECM and UTAUT to consider factors influencing the continuous use of easy payment services. The user's expectations and the confirmation were considered as important factors to decide. For empirical analysis, a survey was conducted for 236 users who had experience with domestic easy payment service. As a result, it was verified that confirmation, performance expectancy, effort expectancy, social influence, and habit in regard to easy payment services are important for continuous use intention. Through this study, it is expected that the consumer's technology acceptance mechanism on the continuous use of simple payment will be grasped in more detail to develop academic discussions in the field. Implications from the results as well as limitations of the study are presented.

• Korea Trade Review
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• v.45 no.1
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• pp.47-64
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• 2020

For the past few years, the Korean government has been consistently expanding its national research & development budget to accelerate economic growth through technology innovation and the enhancement of international competitiveness in global markets. The objective of this paper is to define the concept and analyze the current status of national R&D programs by measuring R&D efficiencies. We determine R&D efficiency by reflecting inputs and outcomes of the five main agricultural R&D programs between 2010 to 2015, and by categorizing and regrouping figures that may affect R&D performance. Among 1,128 targeted projects, 832 projects with patents and thesis were selected for analysis in terms of measuring technology efficiency, pure technology efficiency, and efficiency of scale. Also, the Kruskal-Wallis test was also utilized as well. As a result of empirical analysis, figures that affected the efficiency level of national R&D programs included differences in research resources, research management levels and skills, and research field. This study can be utilized as a reference for re-establishing national agricultural R&D policies, such as enhancement of national technology competitiveness in the global market environment, improving and adapting to new agricultural conditions, market expansion, national agricultural R&D efficiency, aging rural population, agricultural management cost increase, and climate change mitigation.

• Journal of Korean Society for Quality Management
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• v.51 no.3
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• pp.363-379
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• 2023

Purpose: The main objective of this research is to construct an AI-based Composite Supplementary Index (ACSI) model to achieve accurate predictions of the Composite Index of Business Indicators. By incorporating various economic indicators as independent variables, the ACSI model enables the prediction and analysis of both the leading index (CLI) and coincident index (CCI). Methods: This study proposes an AI-based Composite Supplementary Index (ACSI) model that leverages diverse economic indicators as independent variables to forecast leading and coincident economic indicators. To evaluate the model's performance, advanced machine learning techniques including MLP, RNN, LSTM, and GRU were employed. Furthermore, the study explores the potential of employing deep learning models to train the weights associated with the independent variables that constitute the composite supplementary index. Results: The experimental results demonstrate the superior accuracy of the proposed composite supple- mentary index model in predicting leading and coincident economic indicators. Consequently, this model proves to be highly effective in forecasting economic cycles. Conclusion: In conclusion, the developed AI-based Composite Supplementary Index (ACSI) model successfully predicts the Composite Index of Business Indicators. Apart from its utility in management, economics, and investment domains, this model serves as a valuable indicator supporting policy-making and decision-making processes related to the economy.

• Journal of KIISE:Information Networking
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• v.32 no.4
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• pp.508-514
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• 2005

The research in internetworking between UMTS and WLAN, which is completed with merits and demerits, Is actively progressed to establish global roaming environments. This internetworking is classified into two groups: loosely-coupled and tightly-coupled. h tightly-coupled mechanism demands lots of investment and considerable amountof time to construct, which is directly connoted between UNTS and WLAN via IWU. On the other hand, a tersely-coupled mechanism is more scalable and easier to implement than a tightly-coupled one while it has critical drawbacks of packet loss and blocking of services due to handover delay. To alleviate these drawbacks. this work proposes a handover scheme between UMTS and WLAN, which is based on HMIPv6. The performance of the proposed scheme is evaluated by the simaulation. The proposed internetworking scheme based on HMIPv6 shows hotter performance than those based on MIPv6.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.127-135
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• 2013

For the successful implementation of IT projects, individual consultant's competency in the project is very important. Especially, 3 key factors which are 1) Learning-by-Doing, 2) Learning-from-Others, and 3) Learning-by-Investment with individual consultant's competency, are required for solving various critical issues which can be occurred during implementing IT project. The objective of this research is to examine the effects of these learning processes on decision performance of consultants. Prior to setup the research model, we conducted 3 times in-depth interviews with IT consultants who have over 20 years IT project experiences. Through interviews with IT project expert, we tried to validate our research model and develop survey questionnaires. Over 100 consultants, who are working at SI companies those of Samsung SDS, LG CNS, SK C&C and other small SI companies, were participated to survey. In the contrary of our thoughts before conducted experiment, we got the interesting result from pilot experiment. Most influenced learning process was Learning-by-Doing and less influenced learning process was Learning-from-Others.

• Journal of Digital Contents Society
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• v.15 no.2
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• pp.289-300
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• 2014

Cloud computing helps users to save a significant amount of cost that is related to infrastructure investment, management, and maintenance. In this paper, we study the conversion planning from campus legacy web servers into an integrated cloud computing web server system. We also analyze the conversion profit when campus web servers are integrated into a cloud computer. We first investigate the cost of legacy system model of campus web servers operated by individual laboratories, departments, institutes and so on. Next, we set up a cloud computer model for the integrated web services meeting the same performance requirements. Then, we derive the conversion profit. From the result of the derivation, we see that the conversion can be effectively applied to and adopted by mid or large sized campuses and similar institutions that provide web services.

• Journal of KIBIM
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• v.7 no.3
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• pp.31-39
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• 2017

BIM is effective to improve the labor productivity of construction participants. From this point of view, it is important to analyze the outcome related with BIM Labor which covers most of the BIM investment costs. This research focuses on BIM RFI which is one of the major task of the BIM labor and analyze the outcomes. In addition, this research was quantitatively analyzed by the standby time and related cost caused by BIM labor, which affect the results of the project participants. To this end, analytical standby queue model was utilized to analyze the labor focusing on micros TASK. 11 projects were selected to analyze the results of BIM labor and RFI that the project participants requested to the BIM labor was collected. Through this, it collected variables for analyzing results, and Finally, we pulled out 4 projects for analysis. In this study, the basic results analysis of RFI processing of the BIM labor, the probabilistic analysis of BIM labor service status, and the economic analysis of BIM labor optimal inputs were performed by using the research model presented. The results of this study can be utilized to formulate the optimal strategy for BIM labor inputs(e.g. number of employees, level, time point, etc.) of the construction phase. Moreover, it can contribute to ensuring the credibility of the BIM ROI results by presenting the cost of BIM services in BIM ROI analysis and the standby cost of project participants.

• The Journal of Fisheries Business Administration
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• v.22 no.2
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• pp.19-51
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• 1991

The objectives of the study are to look into the fisheries processing industry, analyze problems the industry has, and develop strategies for the industry to take care of the problems. The study was performed in two different dimensions : industry level and firm level. Nevertheless, the study focused on the following main problem areas raw material, production, technology development, internationalization, and managerial performance. The secondary data were utilized to analyze problems at the industry level, For analyzing the firm level situation, an empirical study by using a mail survey with a questionnaire was accomplished. The main problems found were as follows : First, difficulty in procuring raw material was the most serious and main problem. It was caused, externally, by the announcement of 200 nautical miles by most of fishery abundant countries and, internally, by drying fishery resources in the nation's coastal areas ; Second, the rate of fishery processing has been continuously increased and the degree of the processing has also been sophisticated, which implies the pattern of demand for the fishery has been changing widely and deeply. The industry, however, seemed to be unable to meet the consumers' satisfaction ; Third, with the importance of technology for ensuring the changing demands in the fishery processing industry, there has been little effort in research and development both at industry level and at the firm level ; Next, the industry has mainly involved in exporting in association with internationalization. Not to mention about foreign direct investment, technology transfer was not active ; Finaliy, most of firms were densely located in a few areas. The managerical performance in terms of main financial ratios still needs to be improved. Thus, strategies, which would take care of the repective problems, were developed. At industry level, the strategies were developed by reasoning mostly based on the findings from the literature survey. A scheme for internationalization of the firms was suggested. This was made by extracting the factors which would differentiate the firms' internationalization stages. In order to achieve this analysis, discriminant approach was employed. Despite the utility of the findings, it was mostly emphasized that harmonious efforts among government, the industry supporting institutions such as banks, and firms are needed for the successful operation of the strategies. Also, a list of areas for further study was provided especially in relation to the validity threatening parts of the study.

• Journal of the Korea Institute of Building Construction
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• v.15 no.5
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• pp.537-543
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• 2015

This study is to provide the measures of the reduction which can improve the business efficiency of the office workers of construction company through the analysis of the status of their job stress. The important results obtained through this study are as follows. Firstly, the research on impact factor of job stress showed the performance appraisal and responsibility for business performance are the most stressful factors. Secondly, the research on the problems of activities for stress reduction carried out in the current workplace showed that the most office workers indicated the deficiency of financial investment and exploration of ideas related to the activities and insufficiency of public relation of activities.

• Journal of the Korean Society for Advanced Composite Structures
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• v.1 no.3
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• pp.41-48
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• 2010

In this paper, the analysis of impact damage behavior of a reinforced concrete structure that undergoes both a shock impulsive loading and an impact loading due to the air blast induced from an explosion is performed. Firstly, a pair of multiple loadings are selected from the scenario that an imaginary explosion accident is assumed. The RC structures strengthened with advanced composite materials (ACM) are considered as a scheme for retrofitting RC wall structures subjected to multiple explosive loadings and then the evaluation of the resistant performance against them is presented in comparison with the result of the evaluation of a RC structure without a retrofit. Also, in order to derive the result of the analysis similar to that of real explosion experiments, which require the vast investment and expense for facilities, the constitutive equation and the equation of state (EOS) which can describe the real impact and shock phenomena accurately are included with them. In addition, the numerical simulations of two concrete structures are achieved using AUTODYN-3D, an explicit analysis program, in order to prove the retrofit performance of a ACM-strengthened RC wall structure.