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

Where, Y = business performance is dependent variable, a = Intercept, Β (1…. n) = coefficient of independent variable and X 1 = BI perception, X 2 = BI process, X 3 = BI product, X 4 = BI team and X 5 = BI technology is the independent variable of the model which are the factors of Business intelligence. Equation 1: Regression equation Y = a + β 1 X 1 + β 2 X 2 + β 3 X 3 + β 4 X 4 + β 5 X 5 Table 2: Results of Multiple Regression - Overall Banking Sector According to table 2, the R 2 and adjusted R 2 of the estimated model was found to be 0.595 and 0.584 which indicated that almost 59.5% of the variance in BP is explained by the independent variables of BI product, BI technology, process, BI team, and BI perception. It is important note that R 2 and adjusted R 2 values in this model are very much closer. Since it concludes that the fitness of this model is at very high level. The significance value of the model, it is 0.000 and where P< 0.05, it could be concluded that there is significant relationship between independent variables of BI product, BI technology, BI process, BI team, BI perception, and dependent variable of BP. The R 2 and adjusted R 2 of the estimated model was found to be 0.595 and 0.584 which indicated that almost 59.5% of the variance in BP is explained by the independent variables of BI product, BI technology, process, BI team, and BI perception. It is important note that R 2 and adjusted R 2 values in this model are very much closer. Since it concludes that the fitness of this model is at very high level. The significance value of the model, it is 0.000 and where P < 0.05, it could be concluded that there is significant relationship between independent variables of BI product, BI technology, BI process, BI team, BI perception, and dependent variable of BP. Equation 2: Regression equation Y = -0.999 -0.447X 1 + 0.270X 2 + 0.413X 3 + 0.296X 4 + 0.730X 5 Table 2 demonstrates the coefficients of variables of BI Product, BI Technology, Process, BI Team and BI perception. Thus, the 2 equation was estimated. Where, Y = Business Performance, X1 = BI Perception, X2 = BI Process, X3 = BI Product, X4 = BI Team and X5= BI Technology Considering the coefficient values of BI process, 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 increasement of BP. While BI perception has a negative coefficient value. It indicates that increasement of BI perception will lead to a fall in BP. Table 3: Hypothesis Testing Results Hypothesis Statement Sig. Value Result H1 0 : There is no significant impact of BI perception on the business performance of banking sector 0.000 Rejected H1 a : There is a significant impact of BI perception on the business performance of banking sector Accepted H2 0 : There is no significant impact of BI process on the business performance of banking sector 0.012 Rejected H2 a : There is a significant impact of BI process on the business performance of banking sector Accepted Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta (Constant) -.999 .524 -1.906 .048 R =0.771 BI Perception -.447 .079 -.373 -5.635 .000 R-square =0.595 BI Process .270 .106 .209 2.549 .012 Adj.R-square =0.584 BI Product .413 .058 .564 7.165 .000 F-value =56.925 BI Team .296 .076 .306 3.900 .000 Sig.F =0.000 BI Technology .730 .159 .229 4.599 .000 Impact of Business Intelligence on the Business Performance of Banking Sector in Sri Lanka 44 Global Journal of Management and Business Research Volume XXII Issue V Version I Year 2022 ( ) A © 2022 Global Journals