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

H3 0 : There is no significant impact of BI product on the business performance of banking sector 0.000 Rejected H3 a : There is a significant impact of BI product on the business performance of banking sector Accepted H4 0 : There is no significant impact of BI team on the business performance of banking sector 0.000 Rejected H4 a : There is a significant impact of BI team on the business performance of banking sector Accepted H5 0 : There is no significant impact of BI technology on the business performance of banking sector 0.000 Rejected H5 a : There is a significant impact of BI technology on the business performance of banking sector Accepted As discussed in the literature review, there are 10 hypotheses that have been established with the intention of testing them through the data analysis of this study. Table 4.8 explained the results of that hypothesis testing with the conclusion of whether pre-established hypotheses are accepted or not according to multiple linear regression analyses. Based on the rule of, if the significance value(p-value) of the independent variable is less than 0.05, then reject the null hypothesis and accept the alternative hypothesis or the significance value(p-value) of the independent variable is more than 0.05, then accept the null hypothesis and reject the alternative hypothesis. - BI perception does have a significance impact on the business performance of banking sector in SL. - BI process does have a significance impact on the business performance of banking sector in SL. - BI product does have a significance impact on the business performance of banking sector in SL. - BI team does have a significance impact on the business performance of banking sector in SL. - BI technology does have a significance impact on the business performance of banking sector in SL. d) Impact of BI on of State Bank Table 4: Results of Multiple Regression – State Bank Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta (Constant) -0.054 0.622 -0.087 0.931 R =0.589 BI Perception -0.413 0.152 -0.395 -2.725 0.008 R-square =0.347 BI Process -0.230 0.178 -0.166 -1.293 0.200 Adj.R- square =0.303 BI Product 0.362 0.194 0.322 1.865 0.066 F-value =7.868 BI Team 0.451 0.113 0.493 3.991 0.000 Sig.F =0.000 BI Technology 0.647 0.229 0.359 2.826 0.006 According to table 4, the R 2 and adjusted R 2 of the estimated model was found to be 0.347 and 0.303 which indicated that the almost 34% 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. Since the following conclusions can be derived based on the summary obtained from the results of the above table. 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. Equation 3: Regression equation Y = -0.054 -0.413X 1 - 0.230X 2 + 0.362X 3 + 0.451X 4 + 0.647X 5 Impact of Business Intelligence on the Business Performance of Banking Sector in Sri Lanka 45 Global Journal of Management and Business Research Volume XXII Issue V Version I Year 2022 ( ) A © 2022 Global Journals