The Application of the Binary Logistic Model: A Case of Joint Stock Commercial Bank for Investment and Development of Vietnam (Bidv) in Vinh Long Province (Published)
This study aims to estimate the factors affecting the probability of repayment of individual customers, corporate customers at BIDV in Vinh Long province. The sample data includes 403 individual customers and 160 corporate customers who selected from the BIDV’s customer data set. The regression analysis results tested seven factors affecting the probability of debt repayment of individual customers with significance level 0.10 from 9 factors proposed. Besides, five factors affecting the probability of debt repayment of corporate customers with significance level 0.05 from 8 factors proposed.
Determinants Affecting the Effectiveness of Risk Management of Commercial Banks in Dong Nai Province (Published)
Risk management is the identification, assessment, and prioritization of risks followed by coordinated and economical application of resources to minimize, monitor, and control the probability and/or impact of unfortunate events or to maximize the realization of opportunities. Risk management’s objective is to assure uncertainty does not deflect the endeavor from the business goals. The objectives of this study are to identify the factors that affecting the effectiveness of risk management of commercial banks in Dong Nai province. The data analysis for this study is a quantitative type. Moreover, the results provided an insight of the effectiveness of risk management from 350 customers related to commercial banks in Dong Nai province. The regression analysis result showed that there were five factors that included of factors following the procedure (Pr), the communication (Co), the technology (Te), the Human Resource development (Hr) and the organization structure (Or) affecting the effectiveness of risk management of commercial banks in Dong Nai province with significance level of five percent. In addition, the study results showed that there were 350 customers who interviewed and answered about 29 questions. The Data collected from November 2016 to April 2017. This study had been analyzed Cronbach’s Alpha, KMO testing and the result of KMO testing used for the research method of the regression. Customers’ responses measured through an adapted questionnaire on a 5-point Likert scale following; conventions: 1: Completely disagree, 2: Disagree, 3: Normal; 4: Agree; 5: completely agree. Hard copy and online questionnaire distributed among 50.500 customers of the commercial banks.
Open innovation is a phenomenon that is becoming increasingly important for the theory and the practice in recent years. The reasons for this can be found in the new innovation cycles, industrial research and escalation of development costs and also the lack of resources. The phenomenon of open source has attracted researchers and practitioners of innovation. The era of open innovation starts when companies understand that if they want to commercialize their ideas, they should look for a way to bring them to the market of ideas. They need to deploy the roads outside the current businesses and to realize that their center, where the knowledge is created, does not always equal the innovations that need to be found within the company. The approach of open innovation enables innovations to move easily between the external environment and the internal process of innovation of the company. How often open innovation approach is put into practice and whether there are recognized patterns are issues that are examine by our empirical studies.