Data collection methods
In order to ascertain the correlation coefficients between the performance of each paragraph in the field, Table (3) shows the results of applying the questionnaire.
Table 3.
paragraph correlation coefficient.
Table 3.
paragraph correlation coefficient.
| N |
correlation coefficient |
N |
correlation coefficient |
N |
correlation coefficient |
| 1 |
**0.932 |
7 |
**0.934 |
13 |
**0.925 |
| 2 |
**0.932 |
8 |
**0.929 |
14 |
**0.937 |
| 3 |
**0.933 |
9 |
**0.923 |
15 |
**0.922 |
| 4 |
**0.894 |
10 |
**0.931 |
16 |
**0.902 |
| 5 |
**0.873 |
11 |
**0.918 |
17 |
**0.906 |
| 6 |
**0.934 |
12 |
**0.793 |
|
|
An application research on academics at Al-Hussein Bin Talal University was conducted to determine the effect of organizational quiet on organizational performance. A questionnaire was created for this study. There are two primary sections of the study questionnaire: First section: personal information about the respondent (gender, years of experience, and academic standing). Section Two: The relationship between organizational performance and silence: Both organizational performance and organizational silence are components of it. It is broken down into 17 paragraphs that are thoroughly examined and analyzed.
Tool stability: The study tool was used on the pilot sample to ensure the tool's stability, and Cronbach's alpha equation was used to confirm the tool's stability.
Table 4 displays the stability coefficients for each axis and the entire tool. The instrument's overall stability value was 0.910 based on the entire score. This high stability coefficient for the tool is appropriate for the investigation's goals.
Table (4) shows that the values of the reliability coefficients are suitable and reliable for the purposes of scientific research, as the reliability coefficients ranged from 0.721 to 0.944, which means that the values are high and to an excellent degree for the statistical analysis process.
First, the findings pertaining to the first sub-question: In light of the COVID-19 epidemic, what is the extent of organizational silence among Al-Hussein Bin Talal University faculty members, and how does this affect organizational performance? We determined the arithmetic averages and standard deviations for each of the axes in order to respond to the first question. The results showed varying levels of organizational silence among faculty members, with some departments exhibiting higher levels than others paragraphs. Table (5) shows this.
Table 5.
Arithmetic means, standard deviations, and degree of agreement for the study items.
Table 5.
Arithmetic means, standard deviations, and degree of agreement for the study items.
| Number |
Arithmetic mean |
Stand deviation |
Degree of agreement |
| The first axis: submission and fear of officials |
|
|
|
| The official imposes his personality on me in an annoying way |
3.9154 |
0.79762 |
High |
| My relationship with my officials is tense |
3.8538 |
0.7886 |
High |
| Avoid direct contact with officials |
3.7769 |
. 58754 |
High |
| The second axis: weak communication skills and experience |
|
|
|
| I find it very difficult to mix with people |
3.5069 |
. 85604 |
Medium |
| It is difficult to defend my opinion when I am with colleagues |
3.8231 |
0.87573 |
High |
| I don't know how academics deal with each other |
3.7 |
0.60553 |
High |
| The third axis: lack of support from the top management |
|
|
|
| The administration takes its decisions without the participation of academics in them |
3.9308 |
0.53103 |
High |
| The administration does not show interest in the rights of academics |
3.9231 |
0.5226 |
High |
| The administration does not listen to academics' problems |
3.8692 |
0.4556 |
High |
| Fourth Axis: Organizational performance |
|
|
|
| The available financial resources are sufficient to provide the necessary needs of the beneficiaries during the Corona period |
3.4923 |
0.90001 |
Medium |
| The available financial resources are exploited in a way that improves the performance of the university during the pandemic period |
3.6 |
0.79338 |
Medium |
| The university seeks to achieve the satisfaction of service seekers and beneficiaries through the services provided to them during the Corona period |
3.8231 |
0.76214 |
High |
| The university seeks to simplify its procedures to gain the satisfaction of service seekers and beneficiaries during the Corona period |
3.3308 |
1.01 |
Medium |
| Modern technologies for information systems are used in work procedures during the Corona period |
3.6154 |
1.05003 |
Medium |
| The university attaches importance to research and development to improve its services during the Corona period |
3.5 |
1.07 |
Medium |
| University employees are constantly trained to improve their performance during the Corona period |
3.0538 |
1 |
Medium |
| The university is working to enhance technology to facilitate communication and exchange of information during the Corona period |
3.7077 |
0.95191 |
High |
| Total |
3.719076 |
0.829735 |
High |
Table (5) shows that for all the paragraphs of the first axis: compliance and fear of officials, the degree of approval was high, which means that the deans and heads of departments at the university have a high degree of interest and awareness of compliance and fear of officials in their colleges and departments, where the arithmetic average ranged between (3.9154) and 3.7769 with a standard deviation (0.87573-0.60553), and as for the second axis: poor communication skills and experience, the degree of approval for this axis came between medium and high, as the arithmetic mean ranged (3.8231-3.5069) and the standard deviation (0.87573-0.60553), and as for the third axis: the lack of support from the senior management, the degree of approval for its paragraphs was high and ranged between (3.9308-3.8692) and a standard deviation (0.53103-0.45560), and the arithmetic mean, and the third axis was also arithmetic averages and standard deviations were calculated and table (6) shows that.
Table 6.
Arithmetic averages, standard deviations, and the corresponding scores for the axes as a whole are calculated.
Table 6.
Arithmetic averages, standard deviations, and the corresponding scores for the axes as a whole are calculated.
| mean |
Stand deviation |
degree |
| Compliance and fear of officials' |
3.850 |
0. 72.46 |
| high |
| Poor communication skills and experience |
3.680 |
0.7791 |
| high |
| Lack of top management support |
3.910 |
0.5031 |
| high |
| organizational performance |
3.590 |
0.9530 |
| medium |
| Total |
3.789 |
0.8297 |
| high |
Table (6) shows that the averages for all axes ranged between (3.590-3.910) and had a standard deviation of (.953.-.5031.) The arithmetic mean of the first axis was compliance and fear of officials (3.850) and with a standard deviation (0.7246), and the degree of approval for the axis was high. The second axis was the weakness of communication skills and experience. Its arithmetic mean was (3.680) and standard deviation (0.7791) and a high degree of agreement. Institutional came up with a mean (3.590) and a standard deviation (0.9530).
It was also done according to the job position variable as in Table No. (7).
| Variable |
Number |
mean |
Stand deviation |
error rate |
| Compliance and fear of officials Dean |
27 |
2.3704 |
.29196 |
.05619 |
| Head of the Department |
103 |
2.2466 |
.46628 |
.04594 |
| Poor communication skills and experience Dean |
27 |
2.1778 |
.36515 |
.07027 |
| Head of the Department |
103 |
2.0602 |
.07027 |
.03489 |
| Lack of top management support Dean |
27 |
2.1407 |
.35406 |
.08594 |
| Head of the Department |
103 |
1.9631 |
.03489 |
.08594 |
| organizational performance Dean |
27 |
3.7230 |
.66665 |
.12830 |
| Head of the Department |
103 |
3.5266 |
.60089 |
.05921 |
| total Dean |
27 |
3.7911 |
.51707 |
.09951 |
| Head of the Department |
103 |
3.6462 |
.49856 |
.04912 |
In order to find out whether there are statistically significant differences attributable to the job position, a T-test was conducted for the sample and Table (8) shows this.
Table 8.
t-test for independent samples.
Table 8.
t-test for independent samples.
| Dimensions |
mean |
Stand deviation |
value (t) |
Significance level |
| Compliance and fear of officials' |
2.27231 |
.43776 |
59 .184 |
0.000 |
| Poor communication skills and experience |
2.08462 |
.35817 |
66.360 |
0.000 |
| Failure to support senior management |
2.00000 |
40462 |
56.357 |
0.000 |
| Organizational performance |
3.56738 |
.61763 |
65.856 |
0.000 |
| Total |
3.67631 |
50389 |
83,186 |
0.000 |
Table 8 makes it evident how important the second axis—submission and fear of officials—was in relation to the dean and the department head. The calculated value (t) is higher than the tabular value, indicating a statistically significant relationship between the dimensions and the job position. Furthermore, it is clear how important the career position is. Given that professional positions have a direct impact on organizational decision-making processes, their significance is obvious.
Third: The results related to the second sub-question, which states: "What is the level of achieved organizational performance at Al-Hussein Bin Talal University from the point of view of the deans and heads of academic departments?"
Table 9.
Arithmetic averages and standard deviations according to the variable years of experience.
Table 9.
Arithmetic averages and standard deviations according to the variable years of experience.
| Compliance and fear of officials |
Poor communication skills and experience |
Lack of top management support |
|
years of experience. |
| 2.1481 |
1.9556 |
1.8741 |
mean |
5-Jan
|
| 27 |
27 |
27 |
NO |
|
| 0.36624 |
0.34344 |
0.40057 |
stand deviation |
|
| 2.2041 |
2.0122 |
2.0245 |
mean |
10-Jun
|
| 49 |
49 |
49 |
NO |
|
| 0.56049 |
0.3638 |
0.38651 |
stand deviation |
|
| 2.4278 |
2.2278 |
2.0611 |
mean |
15-Nov
|
| 36 |
36 |
36 |
NO |
|
| 0.24449 |
0.30295 |
0.40517 |
stand deviation |
|
| 2.3333 |
2.1889 |
2 |
mean |
15years and over
|
| 18 |
18 |
18 |
NO |
|
| 0.38195 |
0.36604 |
0.44984 |
stand deviation |
|
| 2.2723 |
2.0846 |
2 |
mean |
total summation |
| 130 |
130 |
130 |
NO |
|
| 0.43776 |
0.35817 |
0.40462 |
stand deviation |
|
To answer the second sub-question, the arithmetic mean and standard deviations of the level of organizational performance achievement were calculated from the point of view of the deans and heads of academic departments due to the variable years of experience. Table (9) shows the arithmetic averages and standard deviations.
Table 10.
shows the results of an analysis of variance test for the sample.
Table 10.
shows the results of an analysis of variance test for the sample.
| Statistical significance |
F value |
mean |
Freedom level |
sum of squares |
Contrast source |
Dimensions |
|
| 0.192 |
1.72 |
0.328 |
1 |
0.328 |
between squares |
|
|
| Compliance and fear of officials |
|
| 0.191 |
128 |
24.393 |
inside the boxes |
|
|
| 0.519 |
129 |
24.72 |
total |
|
|
| 0.129 |
2.329 |
296 |
1 |
296 |
Contrast source |
|
|
| Poor communication skills and experience |
|
| 0.127 |
128 |
16.253 |
between squares |
|
|
| 0.423 |
129 |
16.549 |
total |
|
|
| 0.042 |
4.226 |
0.675 |
1 |
0.675 |
between squares |
|
|
| Lack of top management support |
|
| |
|
| 0.16 |
128 |
20.445 |
inside the boxes |
|
|
| |
|
| 0.835 |
129 |
21.12 |
total |
|
|
| 0.142 |
2.182 |
0.825 |
1 |
0.825 |
between squares |
|
|
| organizational performance |
|
| |
|
| |
|
| 0.378 |
128 |
48.384 |
|
|
|
| inside the boxes |
|
|
| |
|
|
| |
129 |
49.209 |
|
|
|
| 1.203 |
total |
|
|
| 0.185 |
1.78 |
0.449 |
1 |
0.449 |
between squares |
Total |
| 0.252 |
128 |
32.304 |
inside the boxes |
| 0.701 |
129 |
32.753 |
total |
Table (10), where the value of (F) is calculated to be higher than its tabular value, indicates that there is significance for the years of experience but no statistical significance between the dimensions, makes it evident that the axis (first, second, fourth, and fifth axis) do not differ statistically in the variable years of experience. Regarding the second axis, the years of experience play a major role in the compliance and fear of official's axis, as indicated by the statistically significant value of F = 4.225 and the significance value of 0.042 summarizing the results of the study.
Talking about the results of the first hypothesis, which reads: "Organizational silence (compliance and fear of officials, lack of communication experience and skills, and lack of support from senior management) has no statistically significant effect at the level of significance (0.05a) on organizational performance,"
Multiple regression analysis was used to test how well the study model worked and how the independent variable, organizational silence and its dimensions, affected the dependent variable, organizational performance as measured by the job Centre variable.
Table 11.
Pearson Correlation Matrix.
Table 11.
Pearson Correlation Matrix.
| organizational performance |
Lack of top management support |
Poor communication skills and experience |
Compliance and fear of officials |
Career Center |
|
|
| 0.411 |
0.411 |
0.582 |
1 |
0.115 |
Compliance and fear of officials |
Pearson Correlation |
| 0.528 |
0.528 |
1 |
0.582 |
0.134 |
Poor communication skills and experience |
| 1 |
1 |
0.528 |
0.411 |
0.179 |
Lack of top management support |
| 1 |
0.69 |
0.726 |
0.717 |
0.129 |
organizational performance |
|
| 0.071 |
0.021 |
0.065 |
0.096 |
|
Career Center |
|
| 0 |
|
0 |
. |
0.096 |
Compliance and fear of officials |
Sig. (1-tailed |
| 0 |
0 |
. |
0 |
0.065 |
Poor communication skills and experience |
|
| 0 |
0 |
0 |
0 |
0.021 |
Lack of top management support |
|
| . |
0 |
0 |
0 |
0.071 |
organizational performance |
|
Table 11 reveals no full correlation between independent variables and certain others, indicating a lack of correlation matrix and significance.
Table 12.
Multiple regression analysis results.
Table 12.
Multiple regression analysis results.
| R2
|
F |
df |
sig |
| 75.3 |
95.366 |
4 |
.000 |
Table (12), which shows the correlation matrix between all the variables and the magnitude of the correlation, reveals that there is no perfect correlation between the independent variables and certain other variables.
Table 13.
Results of a multiple regression analysis done at Al-Hussein Bin Talal University to see how the different parts of organizational silence affect each other.
Table 13.
Results of a multiple regression analysis done at Al-Hussein Bin Talal University to see how the different parts of organizational silence affect each other.
| Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
| |
B |
Std. Error |
Beta |
| Compliance and fear of officials |
0.111 |
0.06 |
0.111 |
1.862 |
0.065 |
| Poor communication skills and experience |
0.089 |
0.076 |
0.089 |
1.159 |
0.249 |
| Lack of top management support |
0.213 |
0.06 |
0.213 |
3.531 |
0.001 |
The values of (T) reached (3.531–10.435), respectively, which are significant values at the level of significance (0.05a), show that the dimensions of submission and fear of officials, as well as poor communication skills and experience, have no impact on achieving organizational performance at Al-Hussein Bin Talal University. On the other hand, the university's organizational performance is hurt by the lack of support from senior management. The study found no significant differences in respondents' perceptions of organizational silence in Jordanian public universities, irrespective of personal and occupational variables, such as gender, job position, academic rank, and experience.
To answer this hypothesis, the Variance Inflation Factory and the Tolerance Test were tested to ensure that there is no high multicollinearity between the independent variables, and Table (14) illustrates this.
Table 14.
Contrast the inflation factor test and the allowable variance test.
Table 14.
Contrast the inflation factor test and the allowable variance test.
| Collinearity Statistics |
| VIF |
Tolerance |
Dimensions |
| 2.26 |
0.442 |
Compliance and fear of officials |
| 2.217 |
0.451 |
Poor communication skills and experience |
| 2.235 |
0.447 |
Lack of top management support |
Table 14 demonstrates that there is no correlation between the independent variables (compliance and fear of officials; poor communication skills and experience; lack of support from senior management) and the dependent variables (gender, job position, academic rank, and number of years of experience) for multiple regression. This suggests that these variables are not multiplied linearly.