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

Table 4 demonstrates the coefficients of BI Product, BI Technology, Process, BI team and BI perception of state bank. Thus, the equation 3 was estimated. Where, Y = Business performance, X 1 = BI perception, X 2 = BI process, X 3 = BI product, X 4 = BI team and X 5 = BI technology Considering the coefficient values of BI product, BI team, and BI technology, they have positive values. It can be concluded that increasement of BI process, BI product, BI team, and BI technology will lead to an increase of BP. In contrast, BI perception and BI process have negative coefficient values. It indicates that increasement of BI perception and BI process will lead to a fall in BP. Considering the significance value of the variables, out of five independent variables, BI perception, BI product, BI team, and BI technology where p < 0.1, it can be concluded that these variables have a significant impact on business performance of state banks except BI process where p > 0.1. e) Impact of BI on BP of Non-State Bank Table 5: Results of Multiple Regression – Non-State Bank Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta (Constant) 3.325 1.166 2.851 0.005 R =0.657 BI Perception -0.236 0.092 -0.208 -2.547 0.012 R-square =0.431 BI Process -0.426 0.186 -0.189 -2.297 0.023 Adj.R- square =0.406 BI Product -0.039 0.079 -0.039 -0.486 0.628 F-value =17.270 BI Team -0.394 0.122 -0.300 -3.237 0.002 Sig.F =0.000 BI Technology 0.803 0.216 0.306 3.709 0.000 According to the above table 4, the R2 and adjusted R2 of the estimated model was found to be 0.431 and 0.406 which indicated that the almost 43% of the variance in BP is explained by the independent variable of BI product, BI technology, process, BI team and BI perception. The significance value of the model, it is 0.000 and where P < 0.1, it could be concluded that there is significant relationship between independent variables of BI product, BI technology, process, BI team, BI perception, and dependent variable of BP. Considering the significance value of the variables, out of five independent variables, BI perception, BI process, BI team, and BI technology where p < 0.1, it can be concluded that these variables have a significant impact on business performance of non-state banks except BI products where p > 0.1. Equation 4: Regression equation Y = -0.054 -0.236X 1 - 0.426X 2 - 0.039X 3 - 0.394X 4 + 0.803X 5 The equation 4 was estimated as above. Where, Y = Business performance, X1 = BI perception, X 2 = BI process, X 3 = BI product, X 4 = BI team and X 5 = BI technology. V. C onclusion Research objectives were defined after considering the research concerns and gaps. As a result, empirical data was collected and analyzed. The general objective of this study is to determine the impact of business intelligence on the business performance of the banking sector in Sri Lanka. Other than that, there are another three specific objectives that have been set for the same. This study adds to the body of knowledge by introducing new evidence that is specific to the Sri Lankan setting. After doing an extensive literature review, there are five independent variables that were identified under Business Intelligence, those can be named as BI product, BI technology, BI process, BI team, and BI perception. Then business performance has been considered as the dependent variable for this current study. For the first sub objective, correlation analysis was conducted and all the correlations values among independent variables are positive except for the ones relating to BI technology. Next, to check the second specific objective of this study, multiple regression analysis has been conducted; all the independent variables of BI perception, BI product, BI process, BI team, and BI technology have significant impact on Business Performance of the banking sector in Sri Lanka based on the results obtained from multiple linear regression analysis. Considering the coefficient value of BI technology, it has a positive value. It can be concluded that increasement of BI technology will lead to have an Impact of Business Intelligence on the Business Performance of Banking Sector in Sri Lanka 46 Global Journal of Management and Business Research Volume XXII Issue V Version I Year 2022 ( ) A © 2022 Global Journals