Using Business Intelligence Capabilities to Improve the Quality of Decision-Making: A Case Study of Mellat Bank
Today, business executives need to have useful information to make better decisions. Banks have also been using information tools so that they can direct the decision-making process in order to achieve their desired goals by rapidly extracting information from sources with the help of business intelligence. The research seeks to investigate whether there is a relationship between the quality of decision making and the business intelligence capabilities of Mellat Bank. Each of the factors studied is divided into several components, and these and their relationships are measured by a questionnaire. The statistical population of this study consists of all managers and experts of Mellat Bank's General Departments (including 190 people) who use commercial intelligence reports. The sample size of this study was 123 randomly determined by statistical method. In this research, relevant statistical inference has been used for data analysis and hypothesis testing. In the first stage, using the Kolmogorov-Smirnov test, the normalization of the data was investigated and in the next stage, the construct validity of both variables and their resulting indexes were verified using confirmatory factor analysis. Finally, using the structural equation modeling and Pearson's correlation coefficient, the research hypotheses were tested. The results confirmed the existence of a positive relationship between decision quality and business intelligence capabilities in Mellat Bank. Among the various capabilities, including data quality, correlation with other systems, user access, flexibility and risk management support, the flexibility of the business intelligence system was the most correlated with the dependent variable of the present research. This shows that it is necessary for Mellat Bank to pay more attention to choose the required business intelligence systems with high flexibility in terms of the ability to submit custom formatted reports. Subsequently, the quality of data on business intelligence systems showed the strongest relationship with quality of decision making. Therefore, improving the quality of data, including the source of data internally or externally, the type of data in quantitative or qualitative terms, the credibility of the data and perceptions of who uses the business intelligence system, improves the quality of decision making in Mellat Bank.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.2571904Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF
 Sayedeh Zohreh Miran Bachelor's thesis; Samira Asadpour; Ramsar Payam Noor University, 2010.
 Gupta Jay, Fiorija J. E, Mora M. T.; Intelligent Support and Decision Support Systems; 2006; Springer & Verlag.
 T. D. Clark, M. C. Jones, C. P. Armstrong; Dynamic structure of Management Support Systems; 2007; MIS chapter.
 B Hastman, J. Herschel, Ann Riner; The Evolution of Business Intelligence: Four Worlds; Gartner Group Research Collection, 2012.
 William Yeoh, Andy Koronios; Managing the Implementation of Business Intelligence Systems; 2008; International Journal of Corporate Information System.
 Z Jordan, R. K. Riner, T. C. Marshall; Business Intelligence: Literature Analysis, Information Systems Management; 2008.
 L. Buchanan, A. O'Connell, A Short History of Decision Making, 2006; No. 84, Harvard Business Journal.
 Stephen P. Robbins (Author); Translated by Parasian, Erabi, Organizational Behavior; 1979.
 Alireza Amirkabiri, Organization and Management Approaches and Organizational Behavior, Postmodern Perspective; Publishing of “Negahe Danesh”, Volume II; 2011.
 Stevenson, William, Joan Pearce & Lyman Porter: "The Concept of Coalition in Organization Theory and Research"; Academy of Management Review; No. 10, 1985, Pp. 256-68.
 Cyert & March, Behavioral Theory of the Firm, Pp. 120-2. Roglaski, S., 2003.
 Essential Elements for Strings: with EEi (Violin); Publisher: Hal Leonard; 2002.
 Zahra Jafari and Supervisor Mohammad Reza Jaberansari; Master's Thesis; Islamic Boroujerd Azad University, Science and Research Branch; 2012.
 Ali Avaz Malayeri, supervisor Jalal Haghighat Monfared; The Paper presented at the First National Business Intelligence Conference, based on the master's thesis; Tehran Azad University, Tehran Center branch, 2010.
 Seyyed Mojtaba Banayi, Seyyed Hadi Mousavi, Birjand University of Technology, 2012.
 Ghazanfari, Jafari, Taghavi Fard, Rouhani; Novin Economics and Business Quarterly, No. 13; 200.
 Oyku Isik, PhD dissertation model; North Texas University; 2010.
 Hadeel A Mohammad, master's thesis model; Middle East University; 2012.
 Ales Popvic, Ray Hackney, Pedro Simoes Coelho, Jurij Jaklic;Towards Business Intelligence Systems Success; University of Nova Portugal; 2012.
 William Yeoh, Andy Koronios; main drivers of success in business intelligence systems; South Australia University; 2008.