Abstract

Knowledge Management in Integration with Business Intelligence Systems: A Descriptive Analytical Research

Dr. Akram Salim H. Al-Janabi, Dr. Alaa Abdulkarem Galeb Al-Mado

Volume: 13 Issue: 1 2023

Abstract:

The research aims to test the relationship between knowledge management and business intelligence in the Trade Bank of Iraq, being one of the vital service organizations that have a fundamental role in serving an important segment of the public as well as its vital economic role. Therefore, the adoption of modern administrative concepts such as knowledge management and its role in achieving business intelligence can be It helps it face these changes and achieve its goal of providing the best services in quantity and quality. The research sample was selected using a random sample method, consisting of (64) workers in the bank, and the questionnaire was relied upon as the main tool to obtain research data, which was prepared based on several Ready-made scales after they were subjected to validity and reliability tests, and to test the validity of the hypotheses and answer the research questions, the analytical descriptive approach and statistical tests were used, including: mean, standard deviation, percentages, frequencies, Pearson's correlation coefficient, simple linear regression, and Depending on the statistical program (SPSS.V.25), the research reached a set of conclusions, the most important of which is that the level of knowledge management and business intelligence in the Trade Bank of Iraq is more than average for both variables and that there is a strong correlation between knowledge management and business intelligence. A set of recommendations was presented, the most important of which was the need to continue attracting those with experience in banking, taking into account their desire to share their tacit knowledge with other workers to preserve their expertise from waste, leakage, and forgetfulness, and to intensify the information-digital networking to join the parties inside the bank and stakeholders outside the bank with each other.

DOI: http://doi.org/10.37648/ijrssh.v13i01.002

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References

• Adelman, S., & Moss, L. T. (2000). Data warehouse project management. Addison-Wesley Professional.
• Agrawal, D., El Abbadi, A., Emekci, F., & Metwally, A. (2009, March). Database management as a service: Challenges and opportunities. In 2009 IEEE 25th International Conference on Data Engineering (pp. 1709- 1716). IEEE.
• Ahmad, A. (2011). Business intelligence for sustainable competitive advantage: the case of telecommunications companies in Malaysia (Doctoral dissertation, Curtin University)..
• Azvine, B., Cui, Z., & Nauck, D. D. (2005). Towards realtime business intelligence. BT Technology Journal, 23(3), 214-225.
• Becerra-Fernandez, I., & Sabherwal, R. (2014). Knowledge management: Systems and processes. Routledge.
• Chaveesuk, S. (2010). The determinants of the adoption and application of business intelligence: An ERP perspective (Doctoral dissertation, Victoria University).
• Chee, T., Chan, L. K., Chuah, M. H., Tan, C. S., Wong, S. F., & Yeoh, W. (2009). Business intelligence systems: state-of-the-art review and contemporary applications. In Symposium on progress in information & communication technology (Vol. 2, No. 4, pp. 16-30).
• Daft, R. L. (2010). Understanding the Theory and Design in Organisation [10th edt]. Australia: South-Western.
• Davis, J. G., Subrahmanian, E., & Westerberg, A. W. (2005). The “global” and the “local” in knowledge management. Journal of Knowledge Management
• Drucker, P. F. (1998). Harvard business review on knowledge management. Harvard Business Press.
• Edgar, W. B., & Albright, K. S. (2022). Knowledge management activities: Conceptual foundations and research issues. Journal of Information Science, 01655515211069538.
• Fallad Chavez, J. (2011). A Knowledge Management Tool for Collaborative Learning: A Case Study Using a Wiki. ProQuest LLC.
• Folorunso, O., Ogunde, A. O., Vincent, R. O., & Salako, O. (2010). Data mining for business intelligence in distribution chain analytics. International Journal of the Computer, the Internet and Management, 18(1), 15-26.
• Gangadharan, G. R., & Swami, S. N. (2004, June). Business intelligence systems: design and implementation strategies. In 26th International Conference on Information Technology Interfaces, 2004. (pp. 139-144). IEEE
• Gottschalk, P. (2008). Organizational structure as predictor of intelligence strategy implementation in policing. International Journal of Law, Crime and Justice, 36(3), 184-195.
• Gupta, K. S. (2008). A comparative analysis of knowledge sharing climate. Knowledge and process management, 15(3), 186-195.
• Howson, C. (2007). Successful business intelligence. Emeryville: McGraw-Hill Professional Publishing.
• Jashapara, A. (2004). Knowledge management: An integrated approach. Pearson Education.
• Jashapara, A. (2004). Knowledge management: An integrated approach. Pearson Education.
• Jennex, M. E. (Ed.). (2008). Knowledge management: concepts, methodologies, tools, and applications. IGI Global.
• Kang, H. (2011). Critical success factors in implementing process-oriented knowledge management systems (PKMS) in the public sector in Korea (Doctoral dissertation, Iowa State University).
• Laudon, K. C., & Laudon, J. P. (2011). Essentials of management information systems.
• Laursen, G. H., & Thorlund, J. (2010). Structuring of a Business Intelligence Competency Center. Business Analytics for Managers: Taking Business Intelligence Beyond Reporting, 183-200.
• Liebowitz, J. (2010). Strategic intelligence, social networking, and knowledge retention. Computer, 43(2), 87-89.
• Lundqvist, K. (2010). Tools for Business Intelligence. Mid Sweden University.
• Maier, R., & Hadrich, T. (2011). Knowledge management systems. In Encyclopedia of Knowledge Management, Second Edition (pp. 779-790). IGI Global.
• McInerney, C. R., & Koenig, M. E. (2011). Knowledge management (KM) processes in organizations: Theoretical foundations and practice. Synthesis Lectures on Information Concepts, Retrieval, and Services, 3(1), 1- 96.
• Mertins K. & Heisig P. Vorbeck, (2001) 'Knowledge management: Best practice in Europe', Springer verily Pub., Heidelberg, Belin.
• Moss, L. T., & Atre, S. (2003). Business intelligence roadmap: the complete project lifecycle for decisionsupport applications. Addison-Wesley Professional.
• Nonaka, I., & Takeuchi, H. (1995). The Knowledge Creating. New York, 304.
• O'Brien, J. A., & Marakas, G. M. (2011). Developing business/IT solutions. Management information systems, 488489, 74-89.
• Olsson, J. E., & Sandell, J. (2008). Strategic business intelligence at Toyota material handling Europe.
• Olszak, C. M., & Ziemba, E. (2003, June). Business intelligence as a key to management of an enterprise. In Proceedings of informing science and IT education conference (pp. 855-863).
• Pareek, D. (2006). Business Intelligence for telecommunications. Auerbach Publications.
• Polanyi, M. (1974). Scientific thought and social reality: Essays by Michael Polanyi. Psychological issues.
• Robinson, H. (2010). A knowledge management framework to manage intellectual capital for corporate sustainability. In Strategic Intellectual Capital Management in Multinational Organizations:Sustainability and Successful Implications (pp. 119-135). IGI Global.
• Skyrme, D. J. (2002). Business value from knowledge management. In Conference Mobilising Knowledge for Business Performance.
• Surendra D., (2013), Agile Business Intelligence Development Core Practices. Master Thesis in Business Management.
• Sveiby, K. E. (2001). Knowledge management–Lessons from the pioneers. Retrieved July, 4, 2007.
• Swan, J., Newell, S., Scarbrough, H., & Hislop, D. (1999). Knowledge management and innovation: networks and networking. Journal of Knowledge management.
• Thornley, C., Carcary, M., Connolly, N., O'Duffy, M., & Pierce, J. (2016). Developing a maturity model for knowledge management (KM) in the digital age.
• Turban, E., Volonino, L., Sipior, J. C., & Wood, G. R. (2011). Information technology for management: Improving strategic and operational performance. New York: John Wiley.
• Westerlund, P. (2008). Business intelligence: Multidimensional data analysis.