• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.06a
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• pp.183-185
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• 2014

The purpose of this paper aims at contributing to the national economic development through global competitiveness enhancement by marine finance's hub and marine logistics cluster by finance specialization and finance support as a creative-type service industry in global shipping port logistics. This study adopted the integrated approach and applied it to policy implementation to achieve the effectiveness. Creative-type marine finance development stages as a tool of policy implementation and the guide line for the time of policy implementation are followed by Stage 1(Construction & Growth Policy) for 2013~2016, Stage 2(Forstering & Activation Policy) for 2017~2019) and Stage 3(Continuous Development Policy) after 2020 until its completion. Korea has the inferiority over the competitiveness in global marine finance and needs a strategic approach to secure the liquidity of marine finance; interim, Islamic finance has been come to the force as a new alternative in financial transaction being accompanied by a spot transaction since the crisis of global finance. In order to create a potential slack of Korea in marine finance practice, in addition, this study suggests a consortium with the circle of Islamic finance as a clue of an easier policy implementation at the beginning stage.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.111-122
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• 2021

The main purpose of the present research is to analyze the effects of trade, financial globalization, and technological progress on income inequality in the Indian economy over the period from 1982 to 2018. For this purpose, the study uses economic growth, financial globalization, trade openness, technological development, and economic inequality variables with appropriate proxies. The study employs the Auto Regressive Distributed Lag (ARDL) approach to co-integration and VECM based Granger causality approach to estimate both the short-run and long-run relationship and causality among variables. Using the ARDL bounds test, the study finds a long-run co-integrating relationship existing among the variables in the model. The study confirms the existence of a positive and significant impact of technological progress on income inequality. Further, globalization's limited impact reflects two offsetting tendencies; trade globalization is associated with a reduction in income inequality, while financial globalization is related to an increase in inequality. The results of VECM based Granger causality approach further confirm that technological progress, trade, and financial globalization causes income inequality both directly and indirectly through economic growth and inflation. In case of India, the results of this research can significantly facilitate stakeholders and policymakers in devising policies towards effective globalization and technological innovation for inclusive growth.

• Asian Journal of Business Environment
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• v.8 no.2
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• pp.5-13
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• 2018

Purpose - The aim of this study is to investigate the problems, challenges, opportunities and future prospects of Islamic banking and finance in the UK. However, this study brings forward into 3 main purposes. Firstly, to explore the development of financial institutions, products and regulatory reforms. Secondly, to find out the performance of Islamic banking institutions. Lastly, to identify the problems, challenges and Islamic banking future prospects. Research design, data, and methodology - An in-depth literature review was carried out to fulfil the research objectives. Results - The findings point out the basic problems of Islamic banking industry in UK such as unfavorable regulatory environment, unfamiliarity with the Islamic Banking System, lack of portfolio management, absence of liquidity instruments, in need of professional bankers, and blending of approach of Islamic scholars with the approach of the conventional bankers. The findings also indicate that there are greater opportunities in the UK for development and growth of Islamic financial system because Muslim community is eager to take financial products. Conclusions - It is hoped that issues pertaining to Islamic banking products can be resolved through consensus of Shariah scholars. There is need to educate the Muslim community about Islamic financial products and service.

• Asia-Pacific Journal of Business
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• v.15 no.3
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• pp.431-448
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• 2024

Purpose - This study aims to explore the return characteristics of asset growth factors in the Korean stock marekt by employing the representativeness heuristic-a behavioral bias originally identified by Kahneman and Tversky(1972). Design/methodology/approach - Our empirical analysis, based on Korean stock market data from 2004 to 2023, compared the conditional probability of high asset growth companies achieving elevated returns to the overall probability. This assessment helps gauge the representativeness of potential 'future Google' companies. Additionally, we use regression models to explore investor behavior and market anomalies in the stock returns. Findings - The findings suggest that when dividing the sample period into phases with high and low representativeness measures, biases significantly impact asset growth factors. Specifically, during high representativeness preiods, stock price reversals were absent among high asset growth companies. Conversely, during low representativeness periods, stock price drifts become evident. Research implications or Originality - This research contributes to the field of behavioral finance by providing empirical evidence of the impact of cognitive biases on asset growth and stock returns in an emerging market like Korea. It highlights the need for investors and policymakers to consider psychological factors when analyzing market behaviors, potentially leading to more informed investment strategies and regulatory frameworks.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.1
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• pp.63-72
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• 2018

Social entrepreneurship is increasingly gaining interest in developing countries for the great benefits of society. In Vietnam, the concept of social entrepreneurship is still quite new. Entrepreneurial intention is regarded as a useful and practial approach for understanding actual entrepreneurial behavior. The purpose of this paper is to develop an integrated model based on planned behavior to examine the direct and indirect effect of perceived access to finance on social entrepreneurial intention. The confirm factor analysis to study the latent constructs underlying determinants of planned behavioral theory, perceived access to finance and social entrepreneurial intention. Then, it applies the technique of structural equation modeling to explore relationships among latent constructs. There is no direct relationship between perceived access to finance and social entrepreneurial intention. Perceived access to finance only indirectly increases entrepreneurial intention through attitude towards behavior and perceived behavioral. This study focuses on the perceptual factor of financial access that affects entrepreneurial intentions. The study does not cover other in-depth issues of social entrepreneurship such as decision making, leadership, personality traits, social capital, and human capital. To establish an environment with a strong social entrepreneurial intention, a focus on developing perceived access to finance is an extremely important factor. This study also suggests that attitude towards behavior and perceived behavioral have a strong impact to social entrepreneurship.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.5
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• pp.429-439
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• 2013

The Korean Veterans' Pension Fund has previously pre-purchased Gibril Tower on Business Complex in Dubai, UAE, via a project-financed construction investment. Although the property is near completion, the investor syndicate's attempt to debt-finance due arrears was foiled in Dubai central bank's credit control of real estaterelated loans. Accordingly, the investment coordinator offered an additional capital injection, a collateralized leverage, and a maturity extension to the syndicate. If the syndicate rejects the offer, they may risk a nearcomplete capital loss and a possible default of the main contractor. Otherwise, the syndicate may still face uncertainties regarding interest receivables, principal re-payment, foreclosure, economic recession in Dubai, and the Islamic bond bill in the Korean Parliament. A possible exercise of the latter option may be due to the agency-prone nature of pension fund managers. Given these qualitative risk factors as at April 1, 2011, a real options approach-implied optimal decision suggests an extended and complete cash augmentation into the project finance deal.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.11
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• pp.47-66
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• 2021

Despite the dominance of the USD as a vehicle currency in non-US trade, most studies on the exchange rate-trade balance relationship ignore its importance. Some recent J-curve papers have proved that incorporating the role of USD as vehicle currency as a crucial determinant of trade balance can well reflect the reality of global trade and provide more detailed findings. Motivated by this new approach and by the fact that USD is substantially used in the trade between China and the EU and the UK, this paper scrutinizes how the vehicle currency USD and the bilateral exchange rates asymmetrically affect China's trade balance with each EU country and the UK. The results of NARDL estimation indicate that the USD models outperform the bilateral exchange rate (BER) models in terms of detecting significant long-run and short-run coefficients, which confirms the usefulness of the new approach. Also, this paper finds that the USD/CNY exchange rate cannot be neglected in China's trade with the EU and the UK, which can supplement China's policies on international trade and foreign exchange management.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.315-328
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• 2020

In this study, we examined various aspects of discretionary accruals. We compared the power of Jones Model (JM), Modified Jones Model (MJM) and Performance Matched Model (PMM). Furthermore, we tested whether accruals derived from cash flow approach or balance sheet approach provide better results and we investigated the significance of country and industry control variables in models. In order to perform these tests, we constructed thirty equations. The data consists of 319 non-financial companies over five years in the GCC region. We used panel data regression models, and testing suggests us to use random effect model as the most suitable one. The results show that PMM has the highest explanatory power among models and it is followed by JM and MJM, consecutively. Secondly, results reveal that accruals derived from cash flow approach provide more accurate results. Moreover, country dummies are significant in models with cash flow approach and they lose significance in balance sheet approach. We differentiated industries due to two different classifications: the first group with higher number of industries is more precise compared to the second group with a narrower scope and lower number of industries. The model including both industrial and country-wise dummies scores highest in significance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.11
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• pp.5464-5488
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• 2019

The multi-population genetic algorithm in multi-target paths coverage has become a top choice for many test engineers. Also, information sharing strategy can improve the efficiency of multi-population genetic algorithm to generate multi-target test data; however, there is still space for some improvements in several aspects, which will affect the effectiveness of covering the target path set. Therefore, a multi-target paths coverage strategy is proposed by improving multi-population genetic algorithm based on individual information sharing among populations. It primarily contains three aspects. Firstly, the behavior of the sub-population covering corresponding target path is improved, so that it can continue to try to cover other sub-paths after covering the current target path, so as to take full advantage of population resources; Secondly, the populations initialized are prioritized according to the matching process, so that those sub-populations with better path coverage rate are executed firstly. Thirdly, for difficultly-covered paths, the individual chromosome features which can cover the difficultly-covered paths are extracted by utilizing the data generated, so as to screen those individuals who can cover the difficultly-covered paths. In the experiments, several benchmark programs were employed to verify the accuracy of the method from different aspects and also compare with similar methods. The experimental results show that it takes less time to cover target paths by our approach than the similar ones, and achieves more efficient test case generation process. Finally, a plug-in prototype is given to implement the approach proposed.

• Journal of the Korean Institute of Educational Facilities
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• v.13 no.3
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• pp.83-85
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• 2006