HYPOTHESIS | CORRELATION ANALYSED | RESULTS |
H1: Gender and Ag have an influence on the effectiveness of internal communication | 1) Gender/Equipped to Communicate Correlation | 1) Pearson correlation coefficient of −0.2 and P-Value 0.210 (Fail to reject Null hypothesis) |
2) Age/Communication correlation | 2) Pearson correlation coefficient of −0.269 and P-Value 0.89 (Fail to reject Null hypothesis) | |
H2: Communication skills of both the sender and the receiver of information influences the effectiveness of internal communication | 1) Communication Training/Equipped to Communicate Correlation | 1) Pearson correlation coefficient of −0.073 and P-Value 0.651 (Fail to reject Null hypothesis) |
2) Education Level/Equipped to Communicate Correlation | 2) Pearson correlation coefficient of 0.182 and P-Value 0.254 (Fail to reject Null hypothesis) | |
3) Communication with Products Team/Equipped with Product Information before Launch Correlation | 3) Pearson correlation coefficient of 0.420 and P-Value 0.007 (Reject Null hypothesis) | |
4) Communication Skills of GOVCO/Effectiveness of Internal Communication Correlation | 4) Pearson correlation coefficient of 0.469 and P-Value 0.002 (Reject Null hypothesis) | |
5) Correlation between Communication Skills of Line Managers/Effectiveness of Internal Communication | 5) Pearson correlation coefficient of 0.317 and P-Value 0.046 (Reject Null hypothesis) | |
6) Subordinates Communication Skills/Impression of Internal Communication in the Bank | 6) Pearson correlation coefficient of −0.21 and P-Value 0.924 (Fail to reject Null hypothesis) | |
H3: Social systems influence the effectiveness of internal communication | 1) Department/Impression of Internal Communication Correlation | 1) Pearson correlation coefficient of 0.21 and P-Value 0.895 (Fail to reject Null hypothesis) |
2) Time with Organisation/Equipped to Communicate Correlation | 2) Pearson correlation coefficient of −0.274 and P-Value 0.83 (Fail to reject Null hypothesis) | |
3) Department/Access to Information Correlation | 3) Pearson correlation coefficient of −0.081 and P-Value 0.618 (Fail to reject Null hypothesis) | |
4) Department/Quality of Communication with Other Departments Correlation | 4) Pearson correlation coefficient of 0.116 and P-Value 0.471 (Fail to reject Null hypothesis) | |
H4: Technology used has an impact on the effectiveness of internal communication | 1) Effectiveness of Channels Used and Leaders Value of Communication/Feedback Correlation | 1) Pearson correlation coefficient of 0.381 and P-Value 0.015 (Reject Null hypothesis) |
H5: Feedback is an important feature to achieve effective communication | 1) Equipped to Communicate and Communicating Feedback Correlation | 1) Pearson correlation coefficient of 0.314 and P-Value 0.045 (Reject Null hypothesis) |
2) Management Value of Feedback and Staff Communicating Feedback Correlation | 2) Pearson correlation coefficient of 0.470 and P-Value 0.002 (Reject Null hypothesis) |