• The Journal of Asian Finance, Economics and Business
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• 제9권6호
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• pp.105-114
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• 2022

With the help of this study, we aim to investigate the influence of Financial Distress (FD) and information and communication technology (ICT) on the operating performance and efficiency of banks in the Indian banking sector. FD can be defined as a position in which a company or individual is not in a condition to fulfill their promise of paying their obligations on time. The term "financial distress" refers to a situation in which a corporation or individual is unable to keep their promise of paying their debts on time. In this work, panel data analysis (PDA) was used to analyze data from 33 Indian banks over ten years (2010 to 2019). According to the findings, FD has a positive and significant impact on bank operational performance and efficiency. The current study will give the banking industry a better understanding of how a bank's performance can be negatively impacted by distressing conditions that render it inefficient and ineffective. Second, it will show investors how the level of distress can have a significant impact on bank performance in the market, finally resulting in the loss of money invested.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.741-750
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• 2021

The research aims to analyze the level of efficiency by grouping banks during the period 2017 - 2018 into category 1 and category 2 banks and then dividing them as Regional Development Banks (BPD) and Non-BPD Conventional Commercial Banks (BUK) within each category. The research objects are banks within the categories BPD and BUK comprised 18 BPDs and 35 BUKs. The research methodology uses 3 stages, first, using Data Envelopment Analysis (DEA) we measure the level of bank efficiency; second, using the Tobit regression model we evaluate the effect of financial performance on DEA efficiency, and third, using the Mann-Whitney test we determine whether there is a difference in the efficiency of category 1 and 2 banks. The results showed that there was a decrease in the efficiency of category 1 and 2 banks but on average, the efficiency of category 1 banks is higher than category 2 banks. The estimation results of the Tobit regression model show that only the ROA variable affects the efficiency level of category 1 banks, while category 2 banks are influenced by NPL and ROA variables. In the Mann-Whitney test, it was proven that there were differences in efficiency between BUK and BPD in category 1 and 2 banks.

• 한국IT서비스학회지
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• 제8권1호
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• pp.29-45
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• 2009

In this research, a model to measure the correlation between the performance of customer contact center and the business performance is developed using the well-known model, the market damage model of TARP. Three hypotheses are suggested and verified using real customer profit data and customer access data of the Industrial bank of Korea. As a result of this research, we know that there is a positive relation between increase of business profit and contact experience of customers to customer contact center. Also, customer satisfaction level for customer contact center contact experience is positively correlated with increase of business profit of the company. However, we could not find a meaningful correlation result between number of contacts to customer contact center and the business profit. Although this study is based on a particular one company data, the analyzation framework can be applicable to other banking companies for showing relations between performance of customer contact center and business profit of the company.

• 한국통신학회논문지
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• 제29권6C호
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• pp.865-873
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• 2004

MPEG-2 Advanced Audio Coding(AAC) is widely used in the multi-channel audio compression standards. And it combines hi인-resolution filter bank prediction techniques, and Huffman coding algorithm to achieve the broadcast-quality audio level at very low data rates. The forward and inverse modified discrete transforms which are operated in the encoder and the decoder of the filter bank need many computations. In this paper, we propose suitable recursive structure at IMDCT processing for MPEG-2 AAC real-time decoder. We confirm the memory, the computation speed and complexity of the proposed structure.

• 동서간호학연구지
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• 제21권1호
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• pp.36-42
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• 2015

Purpose: This study was conducted to identify the level of job stress and to determine factors influencing job stress among nurses currently under Academic Credit Bank (ACB) system. Methods: The participants were 153 nurses who has taken courses of ACB system. Data were collected through self-report questionnaires and then analyzed with t-test, ANOVA, Pearson correlation coefficients, and multiple linear regression with SPSS/WIN 18.0. Results: The score of job stress showed significant differences according to age, marital status, total period of clinical career, and nursing unit. Job stress had significant negative correlation to professional self-concept and organizational commitment. The factors influencing job stress were marital status, professional self-concept, and organizational commitment. Conclusion: The results suggest that various factors should be considered in development and implementation of programs to reduce the job stress of nurses currently under ACB system.

• 경제분석
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• 제26권4호
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• pp.98-136
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• 2020

본 연구는 2006~2014년 통계청의 기업활동조사 자료를 이용하여 우리나라 제조업 기업의 수출중단 결정요인을 실증적으로 분석하였다. 이를 위해 생존분석 기법인 Complementary Log-Log 모형을 통해 우리나라 제조업 수출기업의 수출중단 가능성에 기업 및 산업 특성과 거시경제 변수들이 미치는 영향을 추정하였다. 분석결과, 기업 특성인 고용규모, 자본집약도, 무형자산 소유여부, 외국인 소유여부와 산업 특성인 신규기업의 고용대체율 등이 수출중단 가능성에 유의한 영향을 미치며, 거시변수 중 세계수요 증가, 국내수요 감소가 수출기업의 수출중단 가능성을 유의하게 감소시키는 반면, 환율의 영향은 유의하지 않은 것으로 추정되었다. 또한, 시장금리가 상승하면 금융시장 자금조달여건이 불리해짐에 따라 수출기업의 수출중단 가능성이 커지며, 부채비율이 높은 기업이 이러한 금융여건의 영향을 더욱 크게 받는 것으로 나타났다. 한편, 수출 주력산업인 경우 생산성이 높을수록 수출기업의 수출 중단 가능성이 감소하는 것으로 분석되었다. 본 연구결과는 기업 및 산업 특성과 거시 실물 변수 및 금융여건이 수출중단에 복합적으로 영향을 미치고 있음을 보여준다. 또한, 수출 주력산업 내 기업들의 생산성 제고와 기업의 재무건전성 향상이 수출기업들의 수출중단 가능성을 감소시키는 방향으로 작용할 수 있음을 시사한다.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.747-757
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• 2020

This study investigates the impact of bank regulation and supervision on the efficiency of banking sectors on 108 Islamic banks from 26 countries offering Islamic banking and finance products and services. The technical efficiencies of individual Islamic banks have been analyzed using the data envelopment analysis method (DEA). The ordinary least square estimation method is employed to examine the impact of country supervision and regulation on the technical efficiency of Islamic banks. The empirical findings suggest that supervisory power, activity restrictions and private monitoring positively influence the efficiency of Islamic banks. The study revealed that Islamic banks that are operating in Middle East and North Africa (MENA) and middle-income countries are more technically efficient given the less stringent rules on capital requirement and we found that there is statistically significant evidence that higher capital requirements are negatively associated with the efficiency of Islamic banks. The empirical findings of this study are expected to help policy-makers and government officials to better understand how their decisions affect the performance.

• The Journal of Asian Finance, Economics and Business
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• 제8권11호
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• pp.297-305
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• 2021

The study aims to investigate loyalty rewards programs on customers' satisfaction in Jordanian banks, and to investigate the statistical differences in loyalty rewards programs and customers' satisfaction according to demographics such as age, sex, education level, duration of engagement with bank, and the type of bank. The study is based on the data obtained from the sample. The questionnaire is the tool for collecting data from the respondents. The study materials include website resources, regular books, journals, and articles. The study population consists customers in the banking sector. The figures indicate that number of actual customers reaches 2.06 million. The sample size requirement is 386 items. Customers are split between traditional and Islamic banks, with 231 and 155 customers respectively. The stratified random sampling technique and the structural equations modeling methodology were used. The results show moderated impact of the loyalty rewards programs on customers' satisfaction. The results show statistical differences in the loyalty rewards programs and customers' satisfaction according to the engagement period with the bank only. The findings suggest better managing the loyalty programs and developing one credit card for all banks in Jordan.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.729-740
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• 2020

The study examines the efficiency of private sector banks in India with the help of Window DEA (Data Envelopment Analysis) for a period from 2005 to 2017. With a window of three years, the period was divided into 11 windows. The study outcomes show that 59.9% of all private sector banks in India operate at more than 0.9 level of efficiency, and there are only three occasions when banks were operating at the efficiency value between 0.6 to 0.7. Further, the consistency in the efficiency scores of the banks has also been analyzed using an efficiency mapping matrix, and the mean efficiency score of the bank in each window is studied. The score of standard deviation was interpreted accordingly for these banks. Banks that are showing the highest efficiency scores also have a higher variance of efficiency scores. There was no bank identified in the matrix that promises high-efficiency ratings with low variability. The study concludes that the analysis of the efficiency mapping matrix indicates that, as a DMU escalates in the efficiency scores, the standard deviation reflecting the risk in overall efficiency scores also tends to rise. The findings complement the concept of higher risk to higher return or greater efficiency.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.99-108
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• 2021

As expansion of interest income business faces several limitations, non-interest revenue can play a vital role in increasing the net profit margin and the productivity of the assets to sustain the growth rate. This study aims to analyze the Effect level (partial or total) of a bank's size on the relationship between non-interest revenue and the sustainable growth rate of Jordanian commercial banks. Baron and Kenny's methodology (1986) was adopted to test and analyze the effect of non-interest revenue: including the bank's size, on the sustainable growth rate during the period from 2008-2019. Data collection was done for thirteen commercial banks which constituted 100% of the study population. Testing four hypotheses by using Amos program and a regression model to diagnose the partial and total effect of size. Findings indicate that there is a nonlinear relationship between Non-IR and SGR due to the total effect of bank size on the sustainable growth rate. The results of this study is expected to enable the banks to diversify their revenue to support financial performance towards healthy growth without facing additional financial problems. This study adopted a different methodology from the prior efforts, by using the mediation effect role to verify the effect of non-interest revenue.