 
								Waiting Lines, Banks’ Effective Delivery Systems and Technology Driven Services in Nigeria: A Case Study
								
								
									
										Issue:
										Volume 2, Issue 6, December 2016
									
									
										Pages:
										185-192
									
								 
								
									Received:
										20 September 2016
									
									Accepted:
										26 October 2016
									
									Published:
										10 December 2016
									
								 
								
									
										
											
												DOI:
												
												10.11648/j.ijfbr.20160206.11
											
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										Abstract: This paper investigates how technology influences banks’ efficient service delivery and reduces customers’ average waiting time in obtaining services in a commercial bank at Obafemi Awolowo University. The Direct non-participatory observation was adopted to record time measurements and primary data. The time measurements were based on customers’ arrival times to the banking hall and the service times of the customers who arrived at the bank between the hour of 12.00pm and 1.00pm which have been previously observed to be the bank’s peak period. Data were fitted into the model and the results computed and analyzed. The findings of the study show that both arrival of customers and service time rate of servers follow a poisson exponential probability distribution, respectively. The results reveal that the mean service rate, the mean time spent in the queue by a customer, and aggregate service rate in the system by a customer are substantially reduced and the waiting line is short in a technology driven bank. The study concluded that only technology driven services can reduce customers’ waiting time and improves efficient service delivery systems in Nigerian modern banking.
										Abstract: This paper investigates how technology influences banks’ efficient service delivery and reduces customers’ average waiting time in obtaining services in a commercial bank at Obafemi Awolowo University. The Direct non-participatory observation was adopted to record time measurements and primary data. The time measurements were based on customers’ ar...
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								To Measure the Risk of Projects Financed from Structural Funds by a Fuzzy Logic System
								
									
										
											
											
												Jianqiang Sun,
											
										
											
											
												Xingyu Chai,
											
										
											
											
												Fenggang Zhang,
											
										
											
											
												Zhengying Cai
											
										
									
								 
								
									
										Issue:
										Volume 2, Issue 6, December 2016
									
									
										Pages:
										193-203
									
								 
								
									Received:
										16 October 2016
									
									Accepted:
										7 November 2016
									
									Published:
										10 January 2017
									
								 
								
									
										
											
												DOI:
												
												10.11648/j.ijfbr.20160206.12
											
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										Abstract: To measure the risk of projects financed from structural funds is very difficult because there involved a great number of risks during the whole project process. Accordingly, a fuzzy logic system was applied to measure the risk of projects financed from a structural fund. First, the systematic structure of risk is also investigated, and the risk activities are analyzed for reflecting the finance problems, where the financing risk consists of basic risk element, project risk, and financing agreement in the second level. Second, a fuzzy risk measurement method is illustrated for risk management of projects. For each systematic part, the fuzzy logic system can be used to analyze and quantify different risks. At last, an experimental analysis was presented to verify the proposed model and some practical instructions are also indicated, as well as some interesting conclusions and future research directions.
										Abstract: To measure the risk of projects financed from structural funds is very difficult because there involved a great number of risks during the whole project process. Accordingly, a fuzzy logic system was applied to measure the risk of projects financed from a structural fund. First, the systematic structure of risk is also investigated, and the risk ac...
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								Liquidity Excess and Futures Copper Price
								
									
										
											
											
												Yuzhou Yang,
											
										
											
											
												Chen Zhu,
											
										
											
											
												Zhongwen Tong
											
										
									
								 
								
									
										Issue:
										Volume 2, Issue 6, December 2016
									
									
										Pages:
										204-208
									
								 
								
									Received:
										1 September 2016
									
									Accepted:
										19 October 2016
									
									Published:
										24 January 2017
									
								 
								
									
										
											
												DOI:
												
												10.11648/j.ijfbr.20160206.13
											
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										Abstract: The main contribution of this paper is to identify the relationship between liquidity excess and futures copper price in developing countries. To this end, we compare various measures of liquidity excess and identify one that can measure the degree of liquidity excess and which is particularly applicable to developing countries like China. Through multiple regression analysis, it is found that liquidity excess accounts for the changes of copper prices in the future market.
										Abstract: The main contribution of this paper is to identify the relationship between liquidity excess and futures copper price in developing countries. To this end, we compare various measures of liquidity excess and identify one that can measure the degree of liquidity excess and which is particularly applicable to developing countries like China. Through ...
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