چكيده فارسي :
The aim of this research is to study the
automation System and its impact on Decision
making. Due to wide international competition,
especially in the field of economic functions, it is
necessary to make a change in management
methods in order to guarantee the survival of Bank
Melli. Considering reviews of previous research
done in this regard, four variables were selected as
the predictors and four other indicators of Decision
making were selected as the dependent variables.
Predictor variables include Work Hours, Output
Letters, Concept and Letter Numbers. The
independent variables are automation System
and Improve of decision making, On-Time
decision making, Accurate decision making,
Economic decision making act as the moderating
variables. Based on previous research, hypothesis
of the paper is about the correlation that exists
among the independent and dependent variables.The
SPSS software was used to analyze data from the
research. Two methods of descriptive and inferential
statistics were used for data analysis. Firstly,
Descriptive Statistics was used to identify the mean
and standard deviation values of the Variables.
Secondly, Multivariate regressions method was applied
to assess the association between the two groups of
variables. Multivariate regressions method is the
technique which enables the researcher to predict the
improvement in Decision Making caused by the
multiple variables. Sample size of this research was 60
Banks’ managers working in the headquarter of Bank
Melli Iran .The results of this study will show that there
are significant correlation between the independent
variables and Accurate Decision Making; so,
predictorʹs variables are able to explore the
variances of “Improve of Decision Making” and
also predict the effect on On-Time Decision
Making, Accurate Decision Making, and Economic
Decision Making. According to research findings,
it can be concluded that automation System
contributes to decision making in Bank Melli Iran.
Relying on the findings and in line with the
relationship between decision making and automation
system, further research works using different methods
and samples is recommended.
Keywords: ,
Making,
