Evaluating the Business Intelligence and proposition of a Comprehensive model (the case of Nir Pars Company)

Davood Ghiyasvand and Hadi Teimouri

International Journal of Learning and Development, 2013, vol. 3, issue 4, 123-136

Abstract: In the process of increasing development of different technology and tools in businesses, it seems that one of the most important success factors in businesses is decision-making and selection of best information in shortest time with highest confidence. Business Intelligence is a new approach, which provides quick access to data and analysis on demand.The purpose of this article is to explore the level of business intelligence and propose a comprehensive model for Nir Pars Company. This is an applied, descriptive-correlation research, conducted by survey methodology. A collection of 400 experts and managers of different organizational levels of Nir Company were selected as the statistical population of the study and a batch of 225 persons were chosen by simple random sampling. Library method was used for Data gathering to form the theoretical foundations of the research, and we used our own questionnaire to confirm or refute the research hypotheses; which has the required reliability and validity (Cronbach's alpha coefficient of 0.980). To explore the relationships between the elements of the Model, factor analysis and structural equation modeling techniques were used. According to achieved results, the business intelligence exceeds 0.69(for all parameters of the model).

Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.macrothink.org/journal/index.php/ijld/article/download/4273/3535 (application/pdf)
http://www.macrothink.org/journal/index.php/ijld/article/view/4273 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mth:ijld88:v:3:y:2013:i:4:p:123-136

Access Statistics for this article

International Journal of Learning and Development is currently edited by Hugh Butler

More articles in International Journal of Learning and Development from Macrothink Institute
Bibliographic data for series maintained by Technical Support Office ().