Analysis of Role of Cloud Computing in Providing Internet Banking Services: Case Study Bank Melli Iran

Abstract

In this paper, the cloud-computing model proposed by Davis has been used to explain the main parameters of cloud computing by the use of information systems. This paper investigates influential factors in decision to use cloud computing among employees of the national bank information technology organization based on the cloud-computing model. To analyze and investigate the use of cloud computing in national bank services, the designed questionnaire was distributed among 230 experts and acquainted with the information technology industry in the national bank information technology organization; which resulted in the questionnaire's Cronbach's alpha 0.84. After conducting exploratory and confirmatory factor analysis with regard to analytical coefficients, utility factors were proved to have the most critical influence on the decision of using cloud computing in the electronic banking system. The findings of this research can be considered as guidelines used by national bank managers to employ cloud computing technology.

Presenting a Model to Detect the Fraud in Banking using Smart Enabling Tools

“…Companies use data analysis and machine learning algorithms to identify patterns and suspicious behaviors. There is no complete and effective solution for fraud detection in banking and e-commerce yet, and there are problems like false positive results and reduced system accuracy (20)(21)(22)(23). Advanced fraud detection models can be very effective in dealing with fraud in e-commerce.…”

A Model for Scheduling of Electric Vehicles Charging in a Distribution Network using Multi-agent Model

“…The application of multi-agent systems is divided into two groups: solving the problems of large power systems with the goal of reducing computations (11,12,18,19). Controlling power systems by dividing the system into smaller subsystems and increasing decision-making power (13,14,20).…”

“…A multi-agent system model is discussed in literature [15][16][17][18]21] for managing a distribution system comprising a large number of electric vehicles. The main reason is the use of the power system and, this agent modifies the program with the control and study of the network and informs them.…”

A Framework for Analysis of Predictors of Mobile-marketing Use by Expanding Unified Theory of Acceptance and Use of Technology and Artificial Neural Networks

“…Therefore, the advice of users to other people can be extremely important in increasing the influence and development of mobile marketing in Iran. In addition to the recommendation, the study also explored a proposal to expand UTAUT2, taking into account the degree of risk and trust considered as a factor [15]. Since mobile marketing and its technology adoption in developing countries is a valuable topic, the proposed model is presented in Figure 2.…”