This study investigates the impact of business intelligence with its dimensions, including, data resources, data storage, data processing and analysis, data presentation, and business performance management on decision-making with its dimensions, (diagnosing problem, developing alternatives, evaluating alternatives, selecting the best alternative, decision implement and follow-up). It further investigates the mediating role in improving this effect as information security mediator at Jordanian commercial banks. The sample study representing the study community (population) numbering 375 from top-management and middle management at Jordanian commercial banks consisted of 191. The study distributes (230) questionnaires as a precaution, while (223) of them are retrieved and valid for statistical analysis. The findings reveal that the relationship between the business intelligence with its dimensions and decision-making amounts to (?= 0.634). The results show that T-Value= (12.670) at the significance level (Sig= 0.000). It confirms that the relationship between business intelligence with its dimensions and decision-making with its dimensions is significant. Interestingly, the findings indicate that business intelligence with its dimensions have explained an amount of (63.4%) of variance in the decision-making at the Jordanian commercial banks. The study concludes that there is a direct normative effect of the business intelligence with its dimensions in the decision-making in the Jordanian commercial banks reached to (0.634). As for the direct normative effect of the business intelligence with its dimensions in the information security reached to (0.594). Besides, the direct normative effect of the information security in decision-making accounts for (0.225) and all of them are significant. Hence, the indirect normative effect for the information security between business intelligence and decision-making accounts for (0.134). The overall normative effect between the business intelligence with its dimensions and decision-making with its dimensions at Jordanian commercial banks amount to (0.767). Thus, it can be argued that business intelligence with its dimensions has been able to explain (63.4%) of variance in decision making, while information technology has been able to explain (13.4%) of that variance. Thus, the overall explanation of the modal by the existence of the mediating variable (information security) accounts for (76.7%) of variance in decision making with its dimensions at Jordanian commercial banks.
Alani, M. S. (2014). Business intelligence and information technology. Amman: Dar Safa for printing publishing and distribution.
Al-Ashhab, N. A. (2015). Administrative decision-making its types and stages. Amman: Amjad Publishing House and Distribution.
Al-Atoum, R. H. J. (2020). The Impact of Business Intelligence on Crisis Management in Jordanian Commercial Banks. [Published master's thesis]. Israa University, Amman, Jordan.
Al-Azmi, A. F. K. A. (2022). The role of activating information technology governance in insurance accounting information from electronic risks in the era of digitization, an applied study on banks Kuwaiti business. Scientific Journal of Financial and Administrative Studies and Research, 13 (2), 1115-1155.
Al-Azzawi, F. R. Y. (2015). The impact of the integrative role of business intelligence system and conversion processes Knowledge in Building the Learning Organization Field research in Kirkuk Mobile Communications Company in the city Baghdad, Journal of Economic and Administrative Sciences, 21 (86), 433-487.
Albright, S. C., & Winston, W. L. (2017). Business Analytics: Data Analysis & Decision Making, (6th ed.). Boston: Cengage Learning.
Al Eid, A., & Yavuz, U. (2022). The Effect of Using Decision Support Systems Applications and Business Intelligence Systems in Making Strategic Decisions: A Field Study in the City of Gaziantep. Global Journal of Economics and Business (GJEB),12(2), 256-273. https://doi.org/10.31559/GJEB2022.12.2.8.
Al-Fadl, M. A. (2014). Decision making theories a quantitative approach. Amman: Curriculum House for Publishing and Distribution.
Al-Najjar, F. J. (2018). Management information systems, an administrative perspective (4th ed.). Amman: Dar Al-Hamid for Publication and Distribution.
Al-Najjar, F. J., Al-Najjar, N. J., & Al-Zoubi, M. R. (2020). Scientific research methods perspective my application (5th ed.). Amman: Al-Hamid Library and House for Publishing and Distribution.
Al-Nasser, A. A. A. (2015). Knowledge management in the framework of business intelligence systems. Amman: Al-Yazuri Scientific House for Publishing and Distribution.
Al-Omari, M. A., & Aqili, O. M. (2020). The role of business intelligence in development Administrative, King Abdulaziz University Journal, 2(13), 77-110.
Al-Qahtani, T. A. (2015). Information Security. Saudi Arabia: King Fahd City for Science and Technology.
Al-Shamaa, M. H., & Hammoud, K. K. (2014). Organization theory (4th ed). Amman: Dar Al-Masirah for Printing and Publishing.
Al-Ta’i, M. A., & Al-Kilani, Y. M. (2015). Information Security Management. Amman: Dar Al-Thaqafah for Publishing and Distribution.
Al-Tarawneh, H. A. (2019). Making administrative decisions in business organizations. Amman: Dar Amjad for Publishing and Distribution.
Amer, T. A. R., & Al-Masry, Ehab Issa (2016). Industry and decision-making. Cairo: Good Foundation for Publishing and Distribution.
Awad, A. F. A. (2022). Digital Deposit and Information Security, Arab Democratic Center for strategic, Egypt: Political and Economic Studies.
Birznieks, J., & Licite-Kurbe, L. (2021). Analysis of the Introduction of Business in Telligence and Data Warehousing into Businesses in Latvia. International Conference“Economic Science for Rural Development” Jelgava, 11(14), 284-295. https://DOI:10.22616/ESRD.2021.55.028.
Central Bank of Jordan, the official website (Directory of Banks in Jordan Statistics 2022) (http://www.cbj.gov.jo).
Chapple, M., Stewart, J. M., & Gibson, D. (2018). Certified Information Systems Security Professional (6th ed.). New Jersey: John Wiley & Sons.
Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Information Management, (48), 63-71. https://doi.org/10.1016/j.ijinfomgt.2019.01.021.
Hair, J. F. Jr., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). Aprimer on partial least squares structural equation modeling (PLS- SEM) (2nd ed.). Californie: SAGE Publications.
Hammond, J. S., Keeney, R. L., & Raiffa, H. (2015). Smart Choices:A Practical Guide to Making Better Decisions. Massachusetts City of Cambridge: Harvard Business Review Press.
Hareem, H. (2020). Organizational behavior. The behavior of individuals and groups in business organizations (5th ed.). Amman: Dar Al-Hamid for Publication and Distribution.
Hussein, L. A., & Al-Shammari, F. N. F. (2017). Employing some business intelligence tools to support the strategic information system, a proposed model. Kirkuk University Journal of Administrative and Economic Sciences, 7 (2), 125-146. https://doi.org/10.35703/1874-006-002-006.
Jawa, R. M. A. (2021). The impact of the application of business intelligence system on the effectiveness of decision-making in the General Organization for Social Insurance: a case study. International Journal of Library and Information Sciences, 8(2).
Moulay, A., Tibi, I., & Ibn Al-Zarqa, I. (2021). Application of artificial intelligence and emotional intelligence in making decisions. Knowledge Collections Journal, 7 (1). 187-205.
Mukherjee, S. P. (2021). Decision-making: Concepts, Methods, and Techniques. India: Vivek Mehra.
Niu, Y., Ying, L., Yang, J., & Mengqi, B. S. C. B. (2021). Organizational business intelligence and decision making using big data analytics. Information Processing and Management journal, 58(6), 1-13.
Odah, J. (2018). Information and Strategic Decision Making. Cairo: The Arab Bureau of Knowledge.
Rhoads, C. J., & Roth, W. (2022). Strategic Decision Making for Successful Planning. India: Deanta Global Publishing Services.
Robbins, S., & Couter, M. (2021). Management (15th ed.). Lynchburg: Pearson Horizon.
Sadaqa, M. S. N. (2020). The impact of business intelligence on the quality of decisions in senior management through data quality in the telecommunications company in Jordan. Unpublished master's thesis, Faculty of Economics and Administrative Sciences, Al al-Bayt University, Jordan.
Saltz, J. S., & Stanton, J. M. (2022). Data Science for Business. Californie: SAGE Publications.
Saleh, A. A., Al-Azzawi, B. H., & Ibrahim, I. K. (2010). Management by intelligence (a curriculum strategic and social excellence of organizations). Amman: Dar Wael for Publication and Distribution.
Saleh, O. A. A. (2021). Literature review topic: business intelligence and academic institutions. International Journal of Scientific Studies Publishing, 9(1), 388-416.
Sharda, R., Dylan, D., & Turpan, E. (2020). Business intelligence, analytics, and data science, a managerial perspective. (Translated by: Muhammad bin Ayed Al-Qarni). Riyadh: Institute of Public Administration. (Originally published in 2018).
Saunders, M., Lewis, P., & Thornhill, A. (2007). Research methods for business students (4th ed.). London: Pearson Education Limited.
Sheikhzadeh, M. A. (2017). The Survey of the Impact of Productivity on Business Intelligence (Case Study: Telecom Company of Saravan City). International Journal of Applied Business and Economic Research, 15(5), 315-321.
Shrada, R., Turban, E., & Delen, D. (2017). Business Intelligence: a Managerial Perspective (4th ed.). Cambridge, Massachusetts: Prentice Hall.
Shrestha, Y. R., Ben-Menahem, S. M., & Georg, V. K. (2019). Organizational Decision-Making Structures in the Age of Artificial Intelligence. SAGE Journals, 4(61), 66- 93. https://doi.org/10.1177/0008125619862257.
Singh, V. (2019). SAP Business Intelligence Quick Start Guide: Actionable Business Insights from the SAP Business Objects BI Platform. Birmingham: Packt Publishing.
Thamir, A., & Poulis, E., (2015). Business Intelligence Capabilities and Implementation Strategies. International Journal of Global Business, 8(1), 34-45.
Tipton, H. F., & Krause, M. (2018). Information Security Management Handbook (6th ed.). England: Publications Taylor & Francis Group.
Turban, E., Shrada, R., Delen, D., & King, D. (2017). Business Intelligence: aManagerial Approach (4th ed.). Cambridge, Massachusetts: Prentice Hall.
Whitman, E. M., & Mattord, H. J. (2021). Principles of Information Security (7th ed.). Boston: Cengage learning/course technology.
Witten, L. H., Frank, E., & Hall, M. A. (2017). Data Mining: Practical Machine Learning Tools and Techniques (3rd ed.). Massachusetts: Morgan Kaufmann.
