Developing economy needs appropriate infrastructure in different areas including electronic banking. This paper presents an empirical investigation on important factors influencing electronic banking for developing exports in Iran. The proposed study of this paper designs a questionnaire and distributes it among 200 regular customers who use banking services of various banks in city of Tehran, Iran. Cronbach alpha has been calculated as 0.752 and there are five factors including internet infrastructure, advanced services, usability and information design. The most important sub-criteria include building required culture, customer awareness, the role of government, internet knowledge and compatibility with internet technology.

This paper presents an empirical investigation to detect important factors influencing on electronic banking adoption using factor analysis. The proposed study designed a questionnaire, distributed among 210 customers who were regular customers of four banks in city of Tehran, Iran named Saderat, Eghtesad Novin, Melli and Mellat. The questionnaire consists of 42 questions and since factor analysis is sensitive on skewness of data, we have decided to remove some of the questions and summarize it into 17 questions. Cronbach alpha was calculated as 0.80, which is well above the minimum acceptable limit and validates the results. The results of our survey indicate that four major factors including consistency, facilities, cost control and feasibility.

Customer satisfaction plays an important role on the success of banking industry. A customer may switch his/her primary banking from one to another as soon as he/she is unsatisfied from the quality of services. In this paper, we study the impact of six factors on electronic banking including easy access, design, transaction speed, security, information content and customer support on customer satisfaction. The proposed study was performed in different branches located in north east of city of Tehran, Iran named Tejarat. The study selected a sample of 200 customers, designed, and distributed a questionnaire among them. The results of our survey have indicated that all six components significantly influenced on customer satisfaction. We have also investigated a linear regression between the six independent variables and customer satisfaction and using stepwise linear regression technique the most suitable regression model. The results of regression analysis have also indicated that an increase of one unit in easy access, information content and customer support will increase customer satisfaction by 0.201, 0.368 and 0.356, respectively.