Global Journal of Management and Business Research, A: Administration and Management, Volume 22 Issue 5

increasement of BP. In contrast, BI perception, BI process, BI product, and BI team have negative coefficient values. It indicates that the increasement of those variables will leads to have a fall in BP. Further to the above, to test the contribution from the study to the third objective of this study, multiple linear regression analysis was carried out. Based on the findings of the multiple linear regression analysis done for both non-state and state banks separately, different BI factors affect in a distinct manner to the Business Performance of both non-state and state banks. The BI perception, BI product, BI Team, and BI technology have significant impact on BP in state banks except BI process. In non-state banks, BI perception, BI process, BI Team, and BI technology have significant impact on BP except BI products. Accordingly, as a summary to the findings of this study, BI factors of BI perception, BI product, BI process, BI team, and BI technology have significant impact on Business Performance in the banking sector in Sri Lanka. Other than that, in overall there is a similar impact of business intelligence on business performance of both state and non-state banks in the Sri Lanka banking industry. R eferences R éférences R eferencias 1. N. Nithya and R. Kiruthika, “Impact of Business Intelligence Adoption on Performance of Banks: A Conceptual Framework,” Journal of Ambient Intelligence and Humanized Computing, vol. 12, no. 1, pp. 10-20, 2021. 2. T. Vaidya, S. Ahirrao, K. Kadam and K. Lugade, “Business Intelligence System for banking and Finance,” International Journal of Computer Science and Information Technologies, vol. 5, no. 3, pp. 4336-4349, 2014. 3. Kundan, “Reimaging BI in bank with a smarter ‘Platform Oriented’ strategy,” 2015. [Online] Available at: https://internationalbanker.com/ banking/re-imagining-bi-banks-smarter-platform- oriented-strategy/ [Accessed: 11th of June 2021] 4. O. Isik, M. Jones and A. Sidorova, “Business intelligence success, the role of BI capabilities and decision environments,” Information & Management, vol. 50, no. 1, pp. 13-23, 2012. 5. Fatima and C. Linnes, “The Current Status of Business Intelligence: A Systematic Literature Review,” American Journal of Information Technology, vol. 1, no. 2, pp.21, 2019. 6. P. Marjamaki, “Evolution and Trends of Business Intelligence Systems: A Systematic Mapping Study,” Journal of Computer Science, vol. 4, no. 2, pp.77- 86, 2017. 7. Velosa and G. Pabon, “Business Intelligence and Its Big Evolution,” 2022. [Online]. Available at: https://www.preprints.org/manuscript/202103.0584/ v1 [Accessed: 21st of June 2021] 8. S. Wiliams and Williams, “The Profit Impact of Business Intelligence,” Journal of Business & Economic Research, vol. 7, no. 5, pp.65-72, 2007 9. B. Evelson, and N. Norman, “Business Intelligence, Forrester Research Cambridge,” 2008. [Online]. Available at: https://www.researchgate.net/public cation/277003403_The_impact_of_business_intellig ence_on_decision_support_and_organizational_ben efits [Accessed: 7th of June 2021] 10. M. Maryam and M.H. Seyyed, “Business Intelligence System in Banking Industry Case Study of Samam Bank of Iran,” 2012. [Online]. Available at: https://www.springerprofessional.de/en/business- intelligence-system-in-banking-industry-case-study- of-s/3894812 [Accessed: 10th of June 2021] 11. H. Q. Zhou, Tao and W. Tao, “Analysis of Business Intelligence and its derivative - Financial intelligence,” 2008. [Online]. Available at: https://iee explore.ieee.org/document/4606219 [Accessed: 10th of May 2021] 12. K. Dokic, F. Radman, P. Mirjana and K. Galic, “The Relationship between the Cryptocurrency Value (Bitcoin) and Interest for it in the Region,” 2015. [Online]. Available at: http://hdl.handle.net/10419/ 183674 [Accessed: 13rd of May 2021]. 13. W. Sheila, R. E. Elsayed and S.F. Craig, “Empirical Study of Competitive Intelligence Practice” 2009. [online] Available at: https://www.academia.edu/ 16129877/2009_Empirical_Study_of_Competitive_In telligence_Practice_Evidence_from_UK_Retail_Bank ing_by_Sheila_Wright_Elsayed_R_Eid_and_Craig_S _Fleisher_Academy_of_Marketing_Conference_Co mpetitive_Intelligence_Analysis_and_Strategy_Track _Leeds_UK [Accessed: 17th of June 2021]. Impact of Business Intelligence on the Business Performance of Banking Sector in Sri Lanka 47 Global Journal of Management and Business Research Volume XXII Issue V Version I Year 2022 ( ) A © 2022 Global Journals