• Title/Summary/Keyword: Financial Determinant

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Technology Acceptance Model of Financial Technology in Micro, Small, and Medium Enterprises (MSME) in Indonesia

  • PURNAMASARI, Pupung;PRAMONO, Irena Paramita;HARYATININGSIH, Ria;ISMAIL, Shahifol Arbi;SHAFIE, Rohami
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.981-988
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    • 2020
  • Seeing the existence of MSME needs that have still not been met although this sector is undeniably important in Indonesian economy, changes in community behaviour and the intensity of the use of technology in the community, financial technology (fintech) has a lot of potentials to become a part of the solution of the problem commonly faced by MSMEs. Therefore this research needs to be done to observe the potential of fintech in integrating MSMEs in terms of the application of technology and knowledge from the community related to fintech. By using Technology Acceptance Model, this research tries to understand the determinant factors of the fintech application used by MSME. Based on the research framework and model, path analysis method used in this research. This research uses primary data gathered by the questioner, which was distributed to MSME. From the analysis conducted, we can conclude that the external factors tested in this research could have an effect on the behaviour intention through perceived usefulness in MSME practice of financial technology. Large variation in MSME educational background, busineess age and size would become a challenge in promoting fintech application, therefore this finding suggests that fintech should be promoted by highlighting what benefits can be obtained by using fintech application.

The Role of Corporate Social Responsibility on the Relationship between Financial Performance and Company Value

  • UTAMI, Elok Sri;HASAN, Muhamad
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.1249-1256
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    • 2021
  • This study investigates the company value determinant by observing the effect of financial performance and Corporate Social Responsibility (CSR) and its role in moderating performance achievement. The macro-economy variables such as inflation and interest rate are also used as the controlling variable. This research employs the sample of manufacturing companies of the food and beverage sub-sector listed on the Indonesia Stock Exchange. This study used panel data from 2013 to 2017, with the moderating regression analysis. The result shows that the profitability of the current or previous period affects the company's value. CSR and company size affect the company value at the next period shows that stock price, which reflects the investor's perception today, will be affected by the CSR, Size, and Return On Asset of the previous year. CSR also shows that it can be the substitute for profitability since a company that performs CSR is the one that has a good performance. The regression moderating model and the profitability of the previous period have a higher explanatory power than the higher R square value in explaining company value.

The Determinant Factors and Medical Charges Pattern by Length of Stay in Hospital (재원일별 진료비 발생양상과 재원일수의 결정요인)

  • Kim, Young-Hoon;Moon, Jae-Woo;Kim, Key-Hoon
    • Korea Journal of Hospital Management
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    • v.15 no.2
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    • pp.15-26
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    • 2010
  • Stroke is a high-risk disease. The future of the medical environment is that the proportion of elderly population is increasing, the average life expectancy is being increased, while the fatal rate of stroke will be low. These situation will due to the financial burden on medical insurance. The most important factor that affects on the medical costs of stroke patients is the length of stay. In this study the mean length of hospital for stroke stay was 21.81days(37.97days for intracerebral hemorrhage, 18.89 days for cerebral infarction). The payment per case of stroke was 6.86 million won(12.6 million won for intracerebral hemorrhage, 5.72 million won for cerebral infarction). The payment per case of intracerebral hemorrhage was 2.2 times more than that of cerebral infarction. The payment in the day of hospitalization was the highest and until the second day medical costs was high. After the third day medical costs tended to decline, after that seemed to show an almost constant level. The length of hospital stay was found to be the most important determinant of inpatient charges for stroke. Accordingly rational management of the length of stay will be beneficial to health care consumers, providers, states.

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Developing Traditional Handcraft Villages: The Determinants of Lending Decision from Binh Duong Province's Banks in Vietnam

  • LE, Man Thi;LE, Dong Nguyen Thanh
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.2
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    • pp.151-156
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    • 2020
  • Small and medium enterprises (SMEs) play a very important role in developing countries. In Vietnam, SMEs operating in the field of handicrafts, besides contributing to the economy, also tasked to maintain and develop traditional handicrafts. However, accessing loans from banks of SMEs faces many difficulties. This study explores the determinants of bank lending decision for SMEs, particular, in traditional handicrafts business. Using dataset based on a survey conducted in Binh Duong province, Vietnam, we investigated to what determinant effects for loan approval. The analytical methods used include descriptive statistics for overall assessment, principal component analysis and regression to examine determinants of lending decisions. The results indicate that company's collateral was the most positive determinant to bank lending decision, follow by company's business plan. The role of company's leader is very important for banks considers to approve credit because company's leaders experience and relationship with stakeholders as well as banks have positive relations with bank's lending decision. Agreed with previous studies, the company's financial statement and company's credit history with banks are also significant determinants for lending decision. Whereas, the business environment seam unaffected lending decision as their relations is not significant..

Determining Personal Credit Rating through Voice Analysis: Case of P2P loan borrowers

  • Lee, Sangmin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.10
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    • pp.3627-3641
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    • 2021
  • Fintech, which stands for financial technology, is growing fast globally since the economic crisis hit the United States in 2008. Fintech companies are striving to secure a competitive advantage over existing financial services by providing efficient financial services utilizing the latest technologies. Fintech companies can be classified into several areas according to their business solutions. Among the Fintech sector, peer-to-peer (P2P) lending companies are leading the domestic Fintech industry. P2P lending is a method of lending funds directly to individuals or businesses without an official financial institution participating as an intermediary in the transaction. The rapid growth of P2P lending companies has now reached a level that threatens secondary financial markets. However, as the growth rate increases, so does the potential risk factor. In addition to government laws to protect and regulate P2P lending, further measures to reduce the risk of P2P lending accidents have yet to keep up with the pace of market growth. Since most P2P lenders do not implement their own credit rating system, they rely on personal credit scores provided by credit rating agencies such as the NICE credit information service in Korea. However, it is hard for P2P lending companies to figure out the intentional loan default of the borrower since most borrowers' credit scores are not excellent. This study analyzed the voices of telephone conversation between the loan consultant and the borrower in order to verify if it is applicable to determine the personal credit score. Experimental results show that the change in pitch frequency and change in voice pitch frequency can be reliably identified, and this difference can be used to predict the loan defaults or use it to determine the underlying default risk. It has also been shown that parameters extracted from sample voice data can be used as a determinant for classifying the level of personal credit ratings.

The Joint Determination of Leverage and Debt Maturity (레버리지와 부채만기 결정의 상호관계)

  • Kim, Chi-Soo;Kwon, Kyeung-Taek
    • The Korean Journal of Financial Management
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    • v.22 no.1
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    • pp.1-36
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    • 2005
  • In this study, we analyzed determinant factors of leverage ratio and debt maturity for Korean firms in the simultaneous equation system using 2SLS (two stage least square) method under assumption that two variables are jointly determined in the capital structure decision. As a result of the analysis, we found that leverage ratio and debt maturity are positively related. Also, as for determinant factors of debt maturity, agency cost hypothesis, asset maturity matching hypothesis, signalling and liquidity risk hypothesis are all generally supported, and further leverage ratio are significantly positively related with firm size, but negatively related with default risk. However, when we divided samples into groups according to bank debt level and Chaebul affiliation, with contrast to existing study which worked on similar issues with OLS, we found no evidence supporting the argument that the information asymmetry problem is less severe in firms with more bank debt, whereas information asymmetry and financial constraint problems are more severe in non-Chaebul affiliated firms.

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Determinants and Optimum Modelling of Logistics Outsourcing Strategy (물류(物流) 아웃소싱 전략(戰略) 결정요인(決定要因) 및 최적(最適) 모델)

  • Song, Gye-Eui
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.13
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    • pp.283-302
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    • 2000
  • The firms aim to acquire services and costs advantage from logistics outsourcing strategy. But it is very important to select optimum service provider. A checklist of the criteria for the evaluation of service providers follows : service quality, low cost, logistics information system, service network, financial stability, investments in plant and equipment, management attitude and lookout for the future strategic fit, cultural and psychological barriers etc. Also, a 8-step implement of logistics outsourcing strategy will be of help for maximizing benefits of logistics outsourcing. It follows : 1-step : logistics environment analysis, 2-step : check service provider availability, 3-step : logistics outsourcing determinant analysis, 4-step : select of optimum service provider, 5-step : contract with optimum service provider, 6-step : identify of remaining barriers, 7-step : performance of logistics outsourcing, 8-step : evaluation.

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Performance evaluation of quality management activity using activity based costing (활동중심원가계산을 이용한 품질관리활동의 성과평가)

  • 이홍우;이진춘
    • Journal of Korea Society of Industrial Information Systems
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    • v.7 no.1
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    • pp.1-9
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    • 2002
  • Though Quality Management(QM) is key determinant for corporate success as shown in Jappanese cases, however, its performance wasn't translated into the context of profitability, which is a good managerial means. Meanwhile the quality cost theory is a different attempt to measure the quality management performance with a financial scale, which doesnot have a reasonable measure. This study suggests a new approach to measure the performance of quality management using ABC(Activity-based Costing), and explains its usefulness with a case study.

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Variation of Determinant Factor for Seoul Metropolitan Area's Housing and Rent Price in Korea (수도권 주택가격 결정요인 변화 연구)

  • Lee, Kyung-Ae;Park, Sang-Hak;Kim, Yong-Soon
    • Land and Housing Review
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    • v.4 no.1
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    • pp.43-54
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    • 2013
  • This This paper investigates the variation of the factors to determinate housing price in Seoul metropolitan area after sub-prime financial crisis, in Korea, using a VAR model. The model includes housing price and housing rent (Jeonse) in Seoul metropolitan area from 1999 to 2011, and uses interest rate, real GDP, KOSPI, Producer Price Index and practices to impulse response and variance decomposition analysis to grasp the dynamic relation between a variable of macro economy and and a variable of housing price. Data is classified to 2 groups before and after the 3rd quater of 2008, when sub-prime crisis occurred; one is from the 1st quater of 1999 to the 3rd quater of 2008, and the other is from the 2nd quater of 1999 and the 4th quater of 2011. As a result, comparing before and after sub-prime crisis, housing price is more influenced by its own variation or Jeonse price's variation instead of interest rate and KOSPI. Both before and after sub-prime financial crisis, Jeonse price is also influenced by its own variation and housing price. While after sub-prime financial crisis, influences of Producer Price Index, KOSPI and interest rate were weakened, influence of real GDP is expanded. As housing price and housing rent are more influenced by real economy factors such as GDP, its own variation than before sub-prime financial crisis, the recent trend that the house prices is declined is difficult to be converted, considering domestic economic recession and uncertainty, continued by Europe financial crisis. In the future to activate the housing business, it ia necessary to promote purchasing power rather than relaxation of financial and supply regulation.

A Comparative Study on the Determinant of Fire Service Budget and Police Service Budget (소방예산과 경찰예산의 결정요인에 관한 비교연구)

  • Kim, Jin-Dong
    • Fire Science and Engineering
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    • v.24 no.3
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    • pp.119-130
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    • 2010
  • In the fire and disaster prevention administration of which is not developed in comparison with any other administrative system, the systematic improvement is necessary. For system's more development, financial resource of fire service must be increased sufficiently. If fire service's budget is not allocated sufficiently, fire and disaster were not prevented effectively. This study set up hypothesis based on theoretical background and past research. In this study, dependent variables are fire service budget and police service budget per person Whereas independent variables include demand characteristics, economical characteristics, political characteristics, and previous fiscal year's budget. Statistical methods for the hypothesis's verification are regression analysis, correlation analysis and t-test. The major finding on this study are as follows: First, regression analysis showed that significant variable were past budget variable and economical variable. But political variable and demand variable were not significant except for a emergency medical variable. Second, fire service budget's average was not different significantly from police service budget's average. The above result are contingent upon the theory described in this research. A sustained research and development effort will be necessary if substantial and meaningful progress is to be made in fire service budget.