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

Table 1: Descriptive Statics of Variables BI Perception BI Process BI Product Business Performance BI Team BI Technology N Valid 200 200 200 200 200 200 Missing 0 0 0 0 0 0 Mean 2.18 2.35 2.59 2.68 2.35 3.09 Median 2.20 2.40 2.70 2.80 2.40 3.00 Mode 2.40 2.60 1.80 3.00 2.80 3.00 Std. Deviation 0.384 0.356 0.629 0.460 0.476 0.144 b) Relationship between BI Product, BI Technology, BI Process, BI Team, BI Perception, and overall Business Performance Based on the results obtained for correlation analysis as depicted in the table there is a moderate positive relationship with the correlation of 0.689 between BI product and Business Performance at 0.01 level of significance and there is a moderate positive relationship with the correlation of 0.604 between BI Process and Business Performance at 0.01 level of significance. BI perception has a positive weak relationship with the correlation of 0.315 for Business Performance which is statistically significant at 0.01 level. Moreover, it can be concluded that there is a moderate positive relationship with the correlation of 0.55 between BI Team and Business Performance at 0.01 level of significance and there is a very weak positive relationship with the correlation of 0.129 between BI Technology and Business Performance at 0.01 level of significance. When coming to the second part of this analysis by considering the table 2, it shows that there is a moderate positive correlation between BI perception and BI process with the correlation of 0.675 and that value is significant at 0.01 level of significance. Then the correlation between BI perception and BI product is again significant at 0.01 level of significant with a value of 0.648 implying moderate correlation. BI Perception and BI Team have moderate correlation between them with a coefficient value of 0.642 and it is significant at 0.01 significance level. However, BI technology and BI perception have very weak negative correlation and that is not significant as well. Other than that BI process and BI Product has strong significant positive correlation at 0.01 level of significance. Further, BI process and BI team again show a strong correlation with a value of 0.722 and it is significant at 0.01 significance level. However, correlation between BI process and BI technology is not significant at 0.01 level of significance. Then considering the correlation between BI product and BI team, it indicates a strong positive correlation between them with a coefficient of 0.708 and it is significant at 0.01 level of significance. However, the correlation between BI product and BI technology and BI team and BI technology are not significant at 0.01 level as shown in the above table. Table 2: Correlations of Variables BI Perception BI Process BI Product BI Team BI Technology Business Performance BI Perception Sig. (2 tailed) 1.000 - 0.675 0.000 0.648 0.000 0.642 0.000 -0.064 0.364 0.315 0.000 BI Process Sig. (2 tailed) - - 1.000 - 0.774 0.000 0.722 0.000 -0.045 0.526 0.604 0.000 BI Product Sig. (2 tailed) - - - - 1.000 - 0.708 0.000 -0.046 0.519 0.689 0.000 BI Team Sig. (2 tailed) - - - - - - 1.000 - -0.288 0.000 0.550 0.000 BI Technology Sig. (2 tailed) - - - - - - - - 1.000 - 0.129 0.068 Business Performance - - - - - 1.000 c) Impact of BI Product, BI Technology, Process, BI Team, and BI perception on BP The second sub objective of the research study is to determine the impact of BI on the BP of the banking sector in Sri Lanka. Equation 1 which is a multiple linear regression model that was used to identify the impact between the BI variable and BP of the banking sector in Sri Lanka. Impact of Business Intelligence on the Business Performance of Banking Sector in Sri Lanka 43 Global Journal of Management and Business Research Volume XXII Issue V Version I Year 2022 ( ) A © 2022 Global Journals