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Sayed Mohammad Moosavi Jad

Sayed Mohammad Moosavi Jad

Academic rank: Assistant Professor
ORCID:
Education: PhD.
ScopusId: 671
Faculty: Faculty of Humanities and Social Sciences
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Research

Title
Impacts of Business Intelligence on Business Process of an Organization (Case Study: Day Bank Branches in Iran)
Type
Presentation
Keywords
Business Intelligence, Business Process, Day Bank
Year
2018
Researchers Sayed Mohammad Moosavi Jad ، Samira Moradi ، Bahareh Babaei

Abstract

The present study examines the effect of business intelligence on organizational business process of Day Bank in all over Iran. The statistical population of present study consists of all employees of Day Bank working in different branches of the bank in Iran. In this regard, 226 individuals are selected through Cochran’s formula and stratified sampling with proportional allocation to be included in the statistical sample. For data collection, questionnaire forms are distributed. The collected data is analyzed by SPSS 19 and LISREL 8.7 statistical programs in two descriptive and inferential levels and through Pearson correlation coefficient tests and structural equation modelling (SEM). The reliability of the questionnaire is verified by Cronbach’s alpha coefficient which led to the values 0.841 and 0.809 for the questionnaire of business intelligence and the questionnaire of business process respectively. All of the hypotheses are supported at the level of 0.05. The results suggest that business intelligence exerts significant influence upon business process. The results suggest that business intelligence (coefficient: 0.79) poses significant influence upon business process. From viewpoint of the influence of dimensions of business intelligence on business process, one may claim that organizational learning has the highest influence upon business process followed by IT infrastructure, consistent improvement, effective flow of information and IT. The effect of business intelligence on organizational efficiency is the highest followed by the influence of business intelligence on customer relations.