RAHMAN, Syed Mohammad Khaled;CHOWDHURY, Mohammad Ashraful Ferdous;TANIA, Tasmina Chowdhury
The Journal of Asian Finance, Economics and Business
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제8권2호
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pp.317-328
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2021
This study examines the impact of bank competition and efficiency in the financial stability of the banking sector in Bangladesh. The study used the Lerner index and the Boone indicator to represent the bank competition, while the non-performing loan (NPL) and Z-score are used to represent financial stability. The secondary data were collected from the annual reports of 28 DSE listed commercial banks of Bangladesh over the period from 2011 to 2018. Using a dynamic panel GMM model, the study found the Lerner index is significantly negatively related with Z-score, which means that higher bank competition results in higher bank stability. It is also seen that higher cost efficiency results in higher bank stability. The Lerner index has negative, but insignificant impact on NPL. Similarly, using the Boone indicator, this study found that lower competition increases NPL. In terms of the Z-score, the Boone indicator found that 1 unit of increment results in decrease of the Z-score by 6.15 units. The study suggests that, as more competition results in more financial soundness, the banking industry competition should be ensured by policymakers or regulators. Banks could enhance financial stability by cost control to achieve cost efficiency as well as by improving loan-to-asset ratio.
The purpose of this study is to analyze the operation situation & academic research trends in Seoul and Gyeonggi area, based on theoretical consideration on academic credit bank system, focusing on academic credit bank system where a lifelong education institute affiliated with a university produces graduates with associate's degree. To find out about how academic credit bank institutes are operated in cosmetology field, the analysis of literature review was used, in reference to the literatures as well as administrative data from the Ministry of Education and institutes for lifelong education with respect to academic credit bank system. Further, dissertations and articles in journals were also reviewed for analysis, in order to see academic research trends with respect to academic credit bank system in cosmetology, and finally to provide the directions for a follow-up study in the future. It was found that about 120 junior colleges have cosmetology departments, while only about 20 4-year universities have them, where lifelong education systems such as lifelong education are essential for learners to have bachelor's degree to go to a graduate school in reality. Every year more people want to learn and acquire the degree through a lifelong education institute affiliated with a university. In this regard, it is thought that there should be first positive social awareness towards a degree recipient from such educations and more administrative promotion and active engagement of government, businesses and schools, in order to vitalize academic credit bank system. Meanwhile, there are only about 10 academic literatures including the dissertations on the operation of academic credit bank system with respect to cosmetology, which is not sufficient number in academic research, compared to the increasing number of people who want to acquire the degree. Most of the preceding studies have been limited to education services and learners' satisfaction level. Therefore, continuous follow-up study is required on how to improve social awareness as well as teachers and instructors' satisfaction level, as well as how to develop industry-customized curriculum, in order to ensure active academic credit bank system.
Purpose: The purpose of the research is identified factors influencing the competitiveness of the copper industry in Kazakhstan. Research design, data and methodology: A few studies are dedicated to the analysis in developing countries, particularly Kazakhstan. The algorithm was chosen for research provision: statistical and comparative analysis, correlation, and regression analysis. The data of 1999-2021 obtained from the World Bank, Bureau of National Statistics, National Bank of Kazakhstan. Results: The obtained results demonstrate the trends in the development of the industry since 2000. The development of the copper industry is strongly influenced by the distribution and state of the business environment, economic situation, and trends in the global commodity markets. Conclusions: According to econometric modeling, there is a correlation between the profitability of the copper industry, GDP, copper prices, liquidity, and energy resource prices. Trends in global commodity and energy markets have a significant impact on the state of the industry. Further research should be conducted to include an analysis and forecast of internal factors that may affect the development of the industry, such as copper reserves, condition of fixed assets, government programs, etc. It is also important to examine the correlation with the trends in the development of the global green economy and the revival of the Chinese market.
The Journal of Asian Finance, Economics and Business
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제6권2호
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pp.119-122
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2019
The study aims to investigate factors influencing business households' decision for borrowing credit: the case of commercial banks in Tra Vinh Province, VietNam. The study was conducted by collecting data from 300 business households traded at four commercial banks in Tra Vinh province (Viet Nam bank for agriculture and rural development, Tra Vinh Branch; Viet Nam jointstock commercial bank industry and trade, Tra Vinh Branch; Asia joinstock commercial bank, Tra Vinh Branch; Viet Nam jointstock commercial bank for foreign trade, Tra Vinh Branch). By the use of the Binary Logistic regression method, the research found out that the factors influencing to borrow c redit of household business's decision including: banks brand names, loan interest rates, service attitude, and loan procedures. Of those, the banks brand names and lending interest rates have the strongest impacts on borrow credit decision of business households at commerc ials banks in Tra Vinh province. Since then, the study has proposed solutions to improve access to credit of business households in commercial banks in Tra Vinh province in the coming time, such as: developing a bank brand; the development of flexible lending interest rate policies; improve service style of bank staff; at the same time, simplifying lending procedures.
Since the introduction of block chain technology, its potential use in financial service area have been increasing, and financial firms are seeking ways to take advantage of the benefits of it. The purpose of this study is to present an approach to prioritize block chain-based services for bank. Toward this, we picked out potential financial services through focus group interview and derived the criteria that can be used in evaluating the priorities of block chain-based banking services in the same way. Then, we propose an analytic hierarchy process model to help decision makers prioritize the banking services while considering multiple criteria of technology issues, governmental regulations in the financial industry, cost, managerial issues, customers' needs, and the business opportunity for the bank. By using the analytic hierarchy process model, we can estimate the weighting coefficients to be assigned to each criteria and determine the order of priority in determining the best block chain-based service for the case study bank. The results show that banking login authentication would be forefront service, followed by money transfer, document notarization, and trade financing service in the order, and the trade financing could be most important service in terms of the business profitability for the bank in the future.
Data Envelopment Analysis-Assurance Region(DEA-AR) model is used in this paper to investigate the efficiency and performance potential of Korean banks as they engage in activities that incur interest and non-interest expenses and produce income. DEA provides a measure of each bank's relation to the best-practice frontier for its competitors. This can provide a better quality-benchmark than using industry averages or a particular peer bank branches as the benchmark. The banks are classified into efficient and inefficient sets. Multiplier values for AR-inefficient banks with unique slacks indicate the potential for management to improve the bank's performance relative to its peers. DEA-AR that provide economically reasonable bounds for the multipliers lead to profitability potential, as distinct from efficiency, results.
Journal of Information Technology Applications and Management
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제24권3호
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pp.51-61
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2017
The objective of the study is to examine the acceptance and usability of Augmented Reality (AR) visuals developed for industry analysis of Thai Banks and whether these visuals can outperform the table of numbers in representing financial accounting data. Convenient samples were used and the data were collected with self-assessed questionnaires from 109 users with minimum prior experiences with financial analyses. The results from descriptive statistics indicates that despite having over 80% of respondents with little prior experience in analyzing financial performance of banking industry, the majority of them were able to correctly make prediction (96.4%), identify trend (82.6%) and compare banks' performance (70.6%). Their attitudes and perception towards Bank-AR visuals were above average. Although the overall usability score is average (53%), the respondents rated the Bank-AR visuals to be highly useful and had high intention to use them in the future.
The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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pp.399-406
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2011
Various construction bonds and warranties critically burden the general contractor. Also, sporadic or cumulative delays of progress payment by the owner can further trap the contractor in a financial quagmire. Facing the possibility of cash flow deficiency and callous response from the banks, most construction firms may become financially incapable of market competition, and attractive project tenders become a bidding game among few deep-pocket players. The downside of such market environment is that the depth of pocket, rather than that of professional competency dictates the choice of market winners. In Taiwan, this has been a potential crisis to the construction industry after the financial crisis which started out since 2008. To encounter this problem, this research will examine the means to better manage the construction industry. Essentially, a credit guarantee system (CGS) is the prime solution to strengthen a bank's confidence in any particular construction firm. Thus establishing a national platform which evaluates and rewards a construction firm's overall credibility is pivotal, and this third-party rated credit can help a bank to render a loan more wisely. Finally, this paper will propose the ideal operating schemes of construction-specific CGS in Taiwan and a credit scoring prototype model for construction industry, as reference for the government and banks, respectively.
The purpose of this study lies in examining how knowledge management was applied to PMI(Post Merger Integration) in bank merger. Individuals and organizations in Korea have experienced a lot of changes since the 1997 foreign exchange crisis. In such a situation, individuals came to think the only thing to rely on was personal knowledge. Since organizations had to lay off workers in order of their birth year, not based on whether or not individuals had the knowledge necessary for the organizations, they needed to have such a system that could use their explicit knowledge and even outside knowledge or customers' knowledge as IT developed by changing individuals' tacit knowledge into explicit knowledge as needed in order to continue to maintain their competitiveness and for their own development. Thus, each firm started to pitch for the introduction of knowledge management. Individuals started to store their own experience and knowledge in their homepages or blogs. It was Woori Bank, the merged bank of Hanil Bank and Commercial Bank of Korea, that introduced the knowledge management system and Shared Service Center, in which knowledge creation is available, for the first time in the banking business. Its previous name was Hanbit Bank. Hanbit Bank wanted to construct an advanced bank system, bringing in their chief information officer(CIO) from a foreign bank and introducing an IT software used in Spanish banks to adjust all banking processes to it. However, they could not help giving up the plan in the middle of the road since there was a great difference between Spain and Korea in the financial system and more than 30% of software package had to be changed. In this situation, PMI was delayed, and customer inconvenience continued, which made the integration of organizational cultures slow down. As a breakthrough in this situation, knowledge management was introduced. To integrate knowledge of two organizations in the process of PMI is an important job for all merger candidates. This study aims at presenting the successful results from using knowledge management as a means to PMI ahead of other financial institutions so they can apply them to their organizations. PMI was not achieved properly after the two banks had been merged as Hanbit, but entering the era of Woori Bank, workers were integrated under one standard organization following the organizational and knowledge integration, and knowledge management was introduced for an efficient sharing of knowledge among members. A great number of mergers have occurred up to now, but Woori Bank is the first case that used knowledge management as a means to both PMI and competitiveness enhancement. Probably it was an appropriate time when Woori Bank introduced knowledge management as it was organized. Since Hanil Bank and Commercial Bank of Korea had not introduced knowledge management until then, it could use knowledge management as a means to PMI. Using knowledge management, it could create a new organizational culture and increase competitiveness in the banking industry.
Journal of Information Technology Applications and Management
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제21권4_spc호
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pp.381-401
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2014
This study proposes the accurate economic effect (employment inducement coefficient, hiring inducement coefficient, index of the sensitivity of dispersion, index of the power of dispersion, and ratio of value added) of Korea software industry by analyzing the inter-industry relation using the modified inter-industry table. Some previous studies related to the inter-industry analysis were reviewed and the key problems were identified. First, in the current inter-industry table publishedby the Bank of Korea, the output of software industry includes not only the output of pure software industry (package software and IT services) but also the output of non-software industry due to the misclassification of the industry. This causes the output to become bigger than the actual output of the software industry. Second, during rewriting the inter-industry table, the output is changing. The inter-industry table is the table in the form of rows and columns, which records the transactions of goods and services among industries which are required to continue the activities of each industry. Accordingly, if only an output of a specific industry is changed, the reliability of the table would be degraded because the table is prepared based on the relations with other industries. This possibly causes the economic effect coefficient to degrade reliability, over or under estimated. This study tries to correct these problems to get the more accurate economic effect of the software industry. First, to get the output of the pure software section only, the data from the Korea Electronics Association(KEA) was used in the inter-industry table. Second, to prevent the difference in the outputs during rewriting the inter-industry table, the difference between the output in the current inter-industry table and the output from KEA data was identified and then it was defined as the non-software section output for the analysis. The following results were obtained: The pure software section's economic effect coefficient was lower than the coefficient of non-software section. It comes from differenceof data to Bank of Korea and KEA. This study hasa signification from accurate economic effect of Korea software industry.
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