Evaluating The Effect of Driving Factors On Success of Business Intelligence in Baking Industry
Hasan Dehghan Denavi, Alireza Naser Sadrabadi, Mahdieh Yavari
Nowadays, the world of business intelligence is considered as a very dynamic field and the organizations which have no interest or lack of interest in such issue, will lose their part of flexibility. Due to the failure in providing on-time data to the beneficiaries, these organizations are unaware of the business intelligence and its key factors of success, and also they cannot be synchronized with the growing movement of the world, a movement which requires a planning for the improvement of the intelligence systems of the organization. The main purpose of this research is to identify and prioritize the key factors of the success in business intelligence. So, all the Mellat Bank branches in the city of Tehran in Iran have been studied as a statistical society.
In terms of methodology, the research is a kind of survey-practical research which is based on descriptive-correlation and also exploratory-survey methods. Required data is collected through the questionnaire. To localize these scales, the conceptual literature is considered and the questions and extracted factors are regulated, validated, confirmed and distributed. The validity of the factors is recognized by experts and the validity of the structure is confirmed through the confirmatory factor analysis and KMO index. The Cronbach’s alpha method is used to calculate and confirm the reliability. In science statistical package for the social (SPSS) and the linear structural relations (LISREL), the quantitative researches were used to confirm the hypotheses and proposed model of the research, this means that, the relations of all the aspects and business intelligence is approved, therefore, the recognized factors are the appropriate explanatory of business intelligence, and as a result, the assumed relations in the model have significantly been approved. Other results indicate the rank of the presented aspects and indexes as well as suitability and proper approximation degree of the model in studied society.