• The Journal of Industrial Distribution & Business
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• v.11 no.3
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• pp.29-38
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• 2020

Purpose: Geographical relocation has been conducted to alleviate overcrowding and to support balanced regional development in many countries. Previous studies have seldom examined the effectiveness of relocation on job and life dissatisfaction, particularly in the public sector. The purpose of this study is to investigate the determinants of relocation on job and life dissatisfaction. Proposed research questions include the following: i) do working conditions in the new workplace and interactivity affect job dissatisfaction? ii) do social infrastructure and social activity in the new location affect life dissatisfaction? and iii) is there a relationship between job and life dissatisfaction? Research Design, data, and methodology: The study collected data via an online survey and applied statistical analyses such as factor analysis, regression, and ANOVA. Results: The results of this study found that proposed determinants excluding mobility inefficiency and decision-making affect job and life dissatisfaction. The results also showed that there are relationships between job and life dissatisfaction. Conclusions: The results of this study provide both managerial and policy implications of relocation for the public sector. The results of this study implied that better policy should be designed to increase job and life satisfaction that also accounts for the realities of relocation.

• Journal of Distribution Science
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• v.17 no.5
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• pp.51-59
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• 2019

Purpose - Nowadays financial technology is crucial for each organization to facilitate business transactions and make them easier. This paper was conducted with the purpose of determining the effect of fintech including services e-payment, bills e-payment, ways of payment and bank accounts with e-government on facilitating e-government services in terms of availability, accessibility, efficiency and responsiveness. Research design, data, and methodology - The problem of this paper is summarized in the lack of studies in this subject. So, a survey was applied on 400 respondents in Egypt to investigate the impact of fintech on facilitating e-government services, in order to determine which fintech item can affect any of facilitating services dimensions. Results - The results revealed that bank accounts with e-government doesn't affect any of facilitating services dimension, while each of the remain items has an effect on some dimensions and does not has effect on others. Conclusions - Data analysis revealed that the most obstacles that face respondents resulted in the weakness of internet networks, lack of efficient employees in e-government portal and lack of system effectiveness. In general, it clears that fintech implementation affect the dimensions of facilitating e-government services, however not all fintech implementation components have the same effect on the dimensions.

• Journal of Distribution Science
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• v.18 no.11
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• pp.79-90
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• 2020

Purpose: This study analyzed the policies on and changes of elite training through overseas study and their impact on China's national development when entrepreneurs return home. In particular, it analyzed returnee entrepreneurs in the distribution industry. Research design, data and methodology: This study largely analyzed the Chinese government's policy of attracting foreign talent and the results of the policy. The research method utilized the Chinese Statistical Yearbook and various literature. This study also used case analysis methods for start-ups by haigui in the distribution industry. Results: According to the analysis, the Chinese government is implementing various policies to attract talent. Representatively, the government actively attracts talent through the Hundred Talents Plan, Thousand Talents Plan, Chunhui Program and Chizi Program. In addition, the Changjiang Scholars Program is attracting foreign talent. As a result, many talented people are leading development of the Chinese economy. Conclusions: The Chinese government is actively pursuing policies to attract talents from overseas. In addition, it has established a system in which government ministries and research institutes can work closely together to secure effectiveness in attracting overseas talents. Through this, overseas talents are playing an important role in China's economic development through new start-up activities including the distribution industry.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.53
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• pp.315-336
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• 2012

In year 2011 export volume of South Korea surpassed 500billion USD and overall trade volume has exceeded one trillion USD. South Korea is ranked at 7th in the world by its export volume. Such an expansion of the trade volume leads to growth in customs clearance service demand. However, there are only handfuls of studies on the efficiency of customs clearance service which customs broker provide. If the efficiency in this study is not absolute, it shows relative efficiency to decision making unit. In this research survey was conducted targeting members of Korea Customs Brokers Association. Based on the survey improvement plans to enhance efficiency of customs clearances are as follows. First, rationalize the customs broker fee. Second, setup batch processing system to improve efficiency of the work process. Third, develop new area of task such as FTA and AEO certification. Forth, raise service quality by improving professionalism of customs brokers. Fifth, work efficiency of the office in the capital area will increase. Sixth, when inspecting import export cargo, customs broker should attend at the scene by their choice. Meanwhile, difference analysis on competent customs, type of office, and duration of the business was done but all the aspects were rejected. Such aspects does not influence on its effectiveness.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.05a
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• pp.247-250
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• 2003

Due to the increasing use of very large databases, mining useful information and implicit knowledge from databases is evolving. However, most conventional data mining algorithms identify the relationship among features using binary values (TRUE/FALSE or 0/1) and find simple If-THEN rules at a single concept level. Therefore, implicit knowledge and causal relationships among features are commonly seen in real-world database and applications. In this paper, we thus introduce the mechanism of mining fuzzy association rules and constructing causal knowledge base form database. Acausal knowledge base construction algorithm based on Fuzzy Cognitive Map(FCM) and Srikant and Agrawal's association rule extraction method were proposed for extracting implicit causal knowledge from database. Fuzzy association rules are well suited for the thinking of human subjects and will help to increase the flexibility for supporting users in making decisions or designing the fuzzy systems. It integrates fuzzy set concept and causal knowledge-based data mining technologies to achieve this purpose. The proposed mechanism consists of three phases: First, adaptation of the fuzzy membership function to the database. Second, extraction of the fuzzy association rules using fuzzy input values. Third, building the causal knowledge base. A credit example is presented to illustrate a detailed process for finding the fuzzy association rules from a specified database, demonstration the effectiveness of the proposed algorithm.

• Asian Journal of Business Environment
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• v.7 no.1
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• pp.31-36
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• 2017

Purpose - The purpose of the study was to develop a reliable measurement tool for the evaluation of TQM application in Greek education settings and to examine the factors that determine quality of education. Research design, data, and methodology - A questionnaire commencing from the questions included in the Application Guide of Common Assessment Framework was used for research purposes. Each item was scored on a 5point Likert scale - to a sample of 112 educators (55 men, 57 women), all teachers working in public primary education schools. Factor analysis resulted in a questionnaire of 43 items consisting of five factors, teacher satisfaction, school management and operation, motivation, effectiveness of public school leadership and finance management. Results - Results revealed a positive correlation among all factors. Reliability results using Cronbach's α was high (a=.961) for all factors of the questionnaire ranging from α=.930 (for motivation) to α=.797 (for financial management). Additionally, ICC procedure revealed high values for the above mentioned factors. Conclusions - The study resulted in the construction of a reliable questionnaire focused exclusively on TQM that can be used in future studies using larger samples in different areas so as to draw useful conclusions regarding TQM application in Greek education settings and further identify the factors determining quality in education.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.149-158
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• 2020

The purpose of this study was to investigate the impact of corporate governance index on the cost of equity in companies listed on the Tehran Stock Exchange. This study collects data from 975 observations during the period 2012 to 2018 to test the hypotheses using multiple linear regression model for the panel data. In this research, the independent variable of corporate governance index comprises of 27 specific corporate governance attributes. The results of hypothesis testing showed that corporate governance has a negative and significant effect on the rate of capital cost. In other words, the quality of corporate governance can lower the rate of capital cost. This result suggests that, by using a powerful corporate governance system and by declining the information asymmetry (increasing transparency) and agency conflict, we would be able to enhance the quality of financial reports. It would strengthen the capital market, attract financial suppliers and investors, and absorb the required financial resources of the firm by a lower rate. The findings of the study suggest that companies are able to reduce the cost of equity by establishing strong corporate governance. This conclusion suggests the importance and effectiveness of corporate governance in the cost of equity.

• Journal of Engineering Education Research
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• v.18 no.3
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• pp.59-68
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• 2015

This study was implemented for the purpose of analyzing the effects of Engineering Education Accreditation. Now, 15 years has passed adopting the engineering education system. We need to analyze the effect that this system has changed on the ground of engineering education, and it cultivated the human resource. In order to achieve the purpose of this study, the survey were done on the professors, graduates, and workers. The results and conclusions of this study are summarized as follows: First, it is urgent need to change the system of accreditation, and to get the public trust on assessment. Second, it is necessary to make circumstance that engineering education accreditation is advertised to the industries, and the industry can join the development, consulting, evaluation of curriculum. Third, government needs to make the policy that gives the incentive to the industries, if they give some merits to the accreditation graduates. Fourth, certificate of program graduate is desired to spread the accreditation proliferation. Fifth, government should systemize that accreditation program can get advantage to be selected for the public finance business(e.g. BK, LINC).. It will impact the quality Improvement and accountability of engineering programs.

• Journal of Sensor Science and Technology
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• v.7 no.1
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• pp.23-30
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• 1998

In this paper, we analyzed the effect of the time delay of the image sensor in the tracking loop of Electro-Optical Tracking System(EOTS). we showed that Smith predictor can greatly improve the stability and various performances of EOTS with time delay. And also, to verify the realistic validity, we executed the experiment in EOTS recently developed, and confirmed the effectiveness in EOTS.

• Journal of the Korea Safety Management & Science
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• v.15 no.2
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• pp.193-204
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• 2013

The growing logistics strategy of a company is to optimize their vehicle route scheduling in their supply chain system. It is very important to analyze for continuous pickups and delivery vehicle scheduling. This paper is a computational study to investigate the effectiveness of continuous pickups and delivery vehicle routing problems. These scheduling problems have 3 subproblems; Inbound Vehicle Routing Problem with Makespan and Pickup, Line-haul Network Problem, and Outbound Vehicle Routing Problem with Delivery. In this paper, we propose 5 heuristic Algorithms; Selecting Routing Node, Routing Scheduling, Determining Vehicle Type with Number and Quantity, and Modification Selecting Routing Node. We apply these Algorithms to S vehicle company. The results of computational experiments demonstrate that proposed methods perform well and have better solutions than other methods considering the basic time and due-date.