Abstract To make this research aims to study Nano-finance credit management.Financial institutions, including the guidelines for solving the debt out of the system from providing loans to credit approval factor analysis and risk management in lending as loan to suggest risk management practices in the use of stored queries.Bulletin collect data samples collected by questionnaires from loans from financial institutions in the province of Nong Khai. The number of sample and 150 students, facility characteristics. Currently, financial institutions in the province, Nong Khai has found the service policy your credit, financial institution, financial institution, which currently focus on the availability of IT systems to provide valuable statistical analysis of a model element, the analysis confirmed the policy.Retail credit services of financial institutions: p-value value = .000 up RMSEA = .169. Subsequently, pending before the loan showed that the credit officer of a financial institution in the province Nongkhai include attention to the analysis of the customer's financial status carefully before approving loans as well as loan requests by the statistical analysis of the value element model in Korea.Support the ngayuen to consider before approving credit: p-value value = .000, RMSEA = .234, CMIN/DF = 9.160 and finally to manage and develop skills, credit and risk management, it was found that the credit officer of a financial institution. Nong Khai province as a whole, the management and the development of skills, credit and risk management in lending due to the credit provider the credit officer will need to have specific skills, the knowledge and ability of risk management in the store there is a statistical value of a complex element model analysis confirms the managing credit and skills development services Division.Risk: the value p-value = .000, RMSEA = DF = .228, CMIN/8.741.
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