How to cite this paper
Abu-AlSondos, I. (2023). The impact of business intelligence system (BIS) on quality of strategic decision-making.International Journal of Data and Network Science, 7(4), 1901-1912.
Refrences
Acciarini, C., Brunetta, F., & Boccardelli, P. (2021). Cognitive biases and decision-making strategies in times of change: a systematic literature review. Management Decision, 59(3), 638-652.
Ahmad, H., Hanandeh, R., Alazzawi, F., Al-Daradkah, A., ElDmrat, A., Ghaith, Y., & Darawsheh, S. (2023). The effects of big data, artificial intelligence, and business intelligence on e-learning and business performance: Evidence from Jordanian telecommunication firms. International Journal of Data and Network Science, 7(1), 35-40.
Ain, N., Vaia, G., DeLone, W. H., & Waheed, M. (2019). Two decades of research on business intelligence system adoption, utilization and success–A systematic literature review. Decision Support Systems, 125, 113113.
Al-Okaily, A., Teoh, A. P., & Al-Okaily, M. (2023). Evaluation of data analytics-oriented business intelligence technology effectiveness: an enterprise-level analysis. Business Process Management Journal, 29(3), 777-800.
Al tarawneh, E., Alqaraleh, M. H., Ali, B., & Bani Atta, A. (2023). The Impact of the Efficiency and Effectiveness of ElectronicAccounting Information Systems on the Quality ofAccounting Information. nformation Sciences Letters, 12(3), 1685-1692.
Alawadhi, S. A., Zowayed, A., Abdulla, H., Khder, M. A., & Ali, B. J. (2022). Impact of Artificial Intelligence on Information Security in Business. Paper presented at the 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
Alhaj, A., Zanoon, N., Alrabea, A., Alnatsheh, H., Jawabreh, O., Abu-Faraj, M., & Ali, B. J. (2023). Improving the Smart Cities Traffic Management Systems using VANETs and IoT Features. Journal of Statistics Applications & Probability, 12(2), 405-414.
Ali, B. J., & Oudat, M. S. (2021). Accounting information system and financial sustainability of commercial and islamic banks: A review of the literature. Journal of Management Information & Decision Sciences, 24(5), 1-17.
Arnott, D., Gao, S., Lizama, F., Meredith, R., & Song, Y. (2019). Are business intelligence systems different to decision support systems and other business information systems?
Aziz, M. N. (2020). The impact and power of business intelligence (BI) on the decision-making process in Uppsala university: a case study. International Journal of Science and Business, 4(6), 78-87.
Chen, Y., & Lin, Z. (2021). Business intelligence capabilities and firm performance: A study in China. International Journal of Information Management, 57, 102232.
Delen, D., Moscato, G., & Toma, I. L. (2018). The impact of real-time business intelligence and advanced analytics on the behaviour of business decision makers. Paper presented at the 2018 International Conference on Information Management and Processing (ICIMP).
Djerdjouri, M. (2020). Data and Business Intelligence Systems for Competitive Advantage: prospects, challenges, and real-world applications. Mercados y Negocios(41), 5-18.
Doshi, R., Hiran, K. K., Mijwil, M. M., & Anand, D. (2023). To That of Artificial Intelligence, Passing Through Business Intelligence Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence (pp. 1-16): IGI Global.
Eisenhardt, K. M. (1999). Strategy as strategic decision making. MIT Sloan Management Review, 40(3), 65.
Elbashir, M. Z., Collier, P. A., & Sutton, S. G. (2011). The role of organizational absorptive capacity in strategic use of business intelligence to support integrated management control systems. The Accounting Review, 86(1), 155-184.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics: Sage Publications Sage CA: Los Angeles, CA.
foud Ali, A., Zowayed, S. I., Showaiter, D. A., Khder, M. A., & Ali, B. J. (2022). Artificial intelligence's potential on Bahrain's labour market. Paper presented at the 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
Gaardboe, R., Nyvang, T., & Sandalgaard, N. (2017). Business intelligence success applied to healthcare information systems. Procedia Computer Science, 121, 483-490.
Gauzelin, S., & Bentz, H. (2017). An examination of the impact of business intelligence systems on organizational decision making and performance: The case of France. Journal of Intelligence Studies in Business, 7(2).
Gurcan, F., Ayaz, A., Menekse Dalveren, G. G., & Derawi, M. (2023). Business Intelligence Strategies, Best Practices, and Latest Trends: Analysis of Scientometric Data from 2003 to 2023 Using Machine Learning. Sustainability, 15(13), 9854.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review, 31(1), 2-24.
Hassan, W. M., Aldoseri, D. T., Saeed, M. M., Khder, M. A., & Ali, B. J. (2022). Utilization of Artificial Intelligence and Robotics Technology in Business. Paper presented at the 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
Hatamlah, H., Allan, M., Abu-AlSondos, I., Shehadeh, M., & Allahham, M. (2023). The role of artificial intelligence in supply chain analytics during the pandemic. Uncertain Supply Chain Management, 11(3), 1175-1186.
Ilvonen, T. (2019). Using business intelligence to support multi-project management.
Khder, M. A., & Abu-AlSondos, I. (2021). Business intelligence and data mining: Opportunities and future. European Journal of Business and Management, 13(11).
Khder, M. A., Abu-Alsondos, I. A., & Bahar, A. Y. (2021). The impact of implementing data mining in business intelligence. International Journal of Entrepreneurship, 25, 1-7.
Kulkarni, U., Robles-Flores, J. A., & Popovič, A. (2017). Business intelligence capability: The effect of top management and the mediating roles of user participation and analytical decision making orientation. Journal of the Association for Information Systems, 18(7), 1.
Li, L., Lin, J., Ouyang, Y., & Luo, X. R. (2022). Evaluating the impact of big data analytics usage on the decision-making quality of organizations. Technological Forecasting and Social Change, 175, 121355.
Neal, L., & Spetzler, C. (2015). An organization-wide approach to good decision making. Harvard business review, 27.
Negulescu, O., & Doval, E. (2014). The quality of decision making process related to organizations’ effectiveness. Procedia Economics and Finance, 15, 858-863.
Niu, Y., Ying, L., Yang, J., Bao, M., & Sivaparthipan, C. (2021). Organizational business intelligence and decision making using big data analytics. Information Processing & Management, 58(6), 102725.
Orji, U., Obianuju, E., Ezema, M., Ugwuishiwu, C., Ukwandu, E., & Agomuo, U. (2023). Using Data Analytics to Derive Business Intelligence: A Case Study. arXiv preprint arXiv:2305.19021.
Papadakis, V., & Barwise, P. (2012). Strategic decisions: Springer Science & Business Media.
Pejić Bach, M., Zoroja, J., & Čeljo, A. (2017). An extension of the technology acceptance model for business intelligence systems: project management maturity perspective. International Journal of Information Systems and Project Management, 5(2), 5-21.
Popovič, A., Hackney, R., Coelho, P. S., & Jaklič, J. (2012). Towards business intelligence systems success: Effects of maturity and culture on analytical decision making. Decision Support Systems, 54(1), 729-739.
Quaddus, M., & Woodside, A. G. (2015). Sustaining competitive advantage via business intelligence, knowledge management, and system dynamics: Emerald Group Publishing.
Rikhardsson, P., & Yigitbasioglu, O. (2018). Business intelligence & analytics in management accounting research: Status and future focus. International Journal of Accounting Information Systems, 29, 37-58.
Salo, I., & Allwood, C. M. (2021). Perceived barriers to decision quality in three Swedish public authorities. International Journal of Public Administration, 44(7), 537-546.
Sharda, R., Delen, D., Turban, E., Aronson, J., & Liang, T. (2014). Business intelligence and analytics. System for Decesion Support, 398, 2014.
Shniekat, N., AL_Abdallat, W., Al-Hussein, M., & Ali, B. (2022). Influence of Management Information System Dimensions on Institutional Performance. Information Sciences Letters, 11(5), 435-1443. doi:10.18576/isl/110512
Sinar, E. F. (2015). Data visualization Big Data at Work (pp. 115-157): Routledge.
Spetzler, C., Winter, H., & Meyer, J. (2016). Decision quality: Value creation from better business decisions: Wiley Online Library.
Visinescu, L. L., Jones, M. C., & Sidorova, A. (2017). Improving decision quality: the role of business intelligence. Journal of Computer Information Systems, 57(1), 58-66.
Wibiayu, A., & Siallagan, M. (2022). The Influence of Business Intelligence Dashboard in Decision-Making Process: A Case Study in Government Agency. Budapest International Research and Critics Institute-Journal (BIRCI-Journal), 5(1), 4057-4063.
Wieder, B., & Ossimitz, M.-L. (2015). The impact of Business Intelligence on the quality of decision making–a mediation model. Procedia Computer Science, 64, 1163-1171.
Ahmad, H., Hanandeh, R., Alazzawi, F., Al-Daradkah, A., ElDmrat, A., Ghaith, Y., & Darawsheh, S. (2023). The effects of big data, artificial intelligence, and business intelligence on e-learning and business performance: Evidence from Jordanian telecommunication firms. International Journal of Data and Network Science, 7(1), 35-40.
Ain, N., Vaia, G., DeLone, W. H., & Waheed, M. (2019). Two decades of research on business intelligence system adoption, utilization and success–A systematic literature review. Decision Support Systems, 125, 113113.
Al-Okaily, A., Teoh, A. P., & Al-Okaily, M. (2023). Evaluation of data analytics-oriented business intelligence technology effectiveness: an enterprise-level analysis. Business Process Management Journal, 29(3), 777-800.
Al tarawneh, E., Alqaraleh, M. H., Ali, B., & Bani Atta, A. (2023). The Impact of the Efficiency and Effectiveness of ElectronicAccounting Information Systems on the Quality ofAccounting Information. nformation Sciences Letters, 12(3), 1685-1692.
Alawadhi, S. A., Zowayed, A., Abdulla, H., Khder, M. A., & Ali, B. J. (2022). Impact of Artificial Intelligence on Information Security in Business. Paper presented at the 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
Alhaj, A., Zanoon, N., Alrabea, A., Alnatsheh, H., Jawabreh, O., Abu-Faraj, M., & Ali, B. J. (2023). Improving the Smart Cities Traffic Management Systems using VANETs and IoT Features. Journal of Statistics Applications & Probability, 12(2), 405-414.
Ali, B. J., & Oudat, M. S. (2021). Accounting information system and financial sustainability of commercial and islamic banks: A review of the literature. Journal of Management Information & Decision Sciences, 24(5), 1-17.
Arnott, D., Gao, S., Lizama, F., Meredith, R., & Song, Y. (2019). Are business intelligence systems different to decision support systems and other business information systems?
Aziz, M. N. (2020). The impact and power of business intelligence (BI) on the decision-making process in Uppsala university: a case study. International Journal of Science and Business, 4(6), 78-87.
Chen, Y., & Lin, Z. (2021). Business intelligence capabilities and firm performance: A study in China. International Journal of Information Management, 57, 102232.
Delen, D., Moscato, G., & Toma, I. L. (2018). The impact of real-time business intelligence and advanced analytics on the behaviour of business decision makers. Paper presented at the 2018 International Conference on Information Management and Processing (ICIMP).
Djerdjouri, M. (2020). Data and Business Intelligence Systems for Competitive Advantage: prospects, challenges, and real-world applications. Mercados y Negocios(41), 5-18.
Doshi, R., Hiran, K. K., Mijwil, M. M., & Anand, D. (2023). To That of Artificial Intelligence, Passing Through Business Intelligence Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence (pp. 1-16): IGI Global.
Eisenhardt, K. M. (1999). Strategy as strategic decision making. MIT Sloan Management Review, 40(3), 65.
Elbashir, M. Z., Collier, P. A., & Sutton, S. G. (2011). The role of organizational absorptive capacity in strategic use of business intelligence to support integrated management control systems. The Accounting Review, 86(1), 155-184.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics: Sage Publications Sage CA: Los Angeles, CA.
foud Ali, A., Zowayed, S. I., Showaiter, D. A., Khder, M. A., & Ali, B. J. (2022). Artificial intelligence's potential on Bahrain's labour market. Paper presented at the 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
Gaardboe, R., Nyvang, T., & Sandalgaard, N. (2017). Business intelligence success applied to healthcare information systems. Procedia Computer Science, 121, 483-490.
Gauzelin, S., & Bentz, H. (2017). An examination of the impact of business intelligence systems on organizational decision making and performance: The case of France. Journal of Intelligence Studies in Business, 7(2).
Gurcan, F., Ayaz, A., Menekse Dalveren, G. G., & Derawi, M. (2023). Business Intelligence Strategies, Best Practices, and Latest Trends: Analysis of Scientometric Data from 2003 to 2023 Using Machine Learning. Sustainability, 15(13), 9854.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review, 31(1), 2-24.
Hassan, W. M., Aldoseri, D. T., Saeed, M. M., Khder, M. A., & Ali, B. J. (2022). Utilization of Artificial Intelligence and Robotics Technology in Business. Paper presented at the 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
Hatamlah, H., Allan, M., Abu-AlSondos, I., Shehadeh, M., & Allahham, M. (2023). The role of artificial intelligence in supply chain analytics during the pandemic. Uncertain Supply Chain Management, 11(3), 1175-1186.
Ilvonen, T. (2019). Using business intelligence to support multi-project management.
Khder, M. A., & Abu-AlSondos, I. (2021). Business intelligence and data mining: Opportunities and future. European Journal of Business and Management, 13(11).
Khder, M. A., Abu-Alsondos, I. A., & Bahar, A. Y. (2021). The impact of implementing data mining in business intelligence. International Journal of Entrepreneurship, 25, 1-7.
Kulkarni, U., Robles-Flores, J. A., & Popovič, A. (2017). Business intelligence capability: The effect of top management and the mediating roles of user participation and analytical decision making orientation. Journal of the Association for Information Systems, 18(7), 1.
Li, L., Lin, J., Ouyang, Y., & Luo, X. R. (2022). Evaluating the impact of big data analytics usage on the decision-making quality of organizations. Technological Forecasting and Social Change, 175, 121355.
Neal, L., & Spetzler, C. (2015). An organization-wide approach to good decision making. Harvard business review, 27.
Negulescu, O., & Doval, E. (2014). The quality of decision making process related to organizations’ effectiveness. Procedia Economics and Finance, 15, 858-863.
Niu, Y., Ying, L., Yang, J., Bao, M., & Sivaparthipan, C. (2021). Organizational business intelligence and decision making using big data analytics. Information Processing & Management, 58(6), 102725.
Orji, U., Obianuju, E., Ezema, M., Ugwuishiwu, C., Ukwandu, E., & Agomuo, U. (2023). Using Data Analytics to Derive Business Intelligence: A Case Study. arXiv preprint arXiv:2305.19021.
Papadakis, V., & Barwise, P. (2012). Strategic decisions: Springer Science & Business Media.
Pejić Bach, M., Zoroja, J., & Čeljo, A. (2017). An extension of the technology acceptance model for business intelligence systems: project management maturity perspective. International Journal of Information Systems and Project Management, 5(2), 5-21.
Popovič, A., Hackney, R., Coelho, P. S., & Jaklič, J. (2012). Towards business intelligence systems success: Effects of maturity and culture on analytical decision making. Decision Support Systems, 54(1), 729-739.
Quaddus, M., & Woodside, A. G. (2015). Sustaining competitive advantage via business intelligence, knowledge management, and system dynamics: Emerald Group Publishing.
Rikhardsson, P., & Yigitbasioglu, O. (2018). Business intelligence & analytics in management accounting research: Status and future focus. International Journal of Accounting Information Systems, 29, 37-58.
Salo, I., & Allwood, C. M. (2021). Perceived barriers to decision quality in three Swedish public authorities. International Journal of Public Administration, 44(7), 537-546.
Sharda, R., Delen, D., Turban, E., Aronson, J., & Liang, T. (2014). Business intelligence and analytics. System for Decesion Support, 398, 2014.
Shniekat, N., AL_Abdallat, W., Al-Hussein, M., & Ali, B. (2022). Influence of Management Information System Dimensions on Institutional Performance. Information Sciences Letters, 11(5), 435-1443. doi:10.18576/isl/110512
Sinar, E. F. (2015). Data visualization Big Data at Work (pp. 115-157): Routledge.
Spetzler, C., Winter, H., & Meyer, J. (2016). Decision quality: Value creation from better business decisions: Wiley Online Library.
Visinescu, L. L., Jones, M. C., & Sidorova, A. (2017). Improving decision quality: the role of business intelligence. Journal of Computer Information Systems, 57(1), 58-66.
Wibiayu, A., & Siallagan, M. (2022). The Influence of Business Intelligence Dashboard in Decision-Making Process: A Case Study in Government Agency. Budapest International Research and Critics Institute-Journal (BIRCI-Journal), 5(1), 4057-4063.
Wieder, B., & Ossimitz, M.-L. (2015). The impact of Business Intelligence on the quality of decision making–a mediation model. Procedia Computer Science, 64, 1163-1171.