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Proceedings of the 12th European Conference on Knowledge ...

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Isaac Enakimio and Abdallah Al-Shawabkeh<br />

From <str<strong>on</strong>g>the</str<strong>on</strong>g> results above, <str<strong>on</strong>g>the</str<strong>on</strong>g>re is a positive relati<strong>on</strong>ship between KM and Data Sharing in NHS (B=<br />

.667).<br />

6.3 The relati<strong>on</strong>ship between KM and existing tools<br />

Table 4: The relati<strong>on</strong>ship between KM and existing tools (Coefficients a )<br />

Coefficients a<br />

Model Unstandardised<br />

Standardised t Sig.<br />

Coefficients<br />

Coefficients<br />

B Std. Error Beta<br />

1 (C<strong>on</strong>stant) 1.425 .458 3.109 .002<br />

KM .735 .147 .448 5.005 .000<br />

a. Dependent Variable: Already_existing_tools<br />

From <str<strong>on</strong>g>the</str<strong>on</strong>g> results above, <str<strong>on</strong>g>the</str<strong>on</strong>g>re is a positive relati<strong>on</strong>ship between KM and existing tools in NHS<br />

(B=.735).<br />

Table 5: Correlati<strong>on</strong>s between KM and <str<strong>on</strong>g>the</str<strong>on</strong>g> different criteri<strong>on</strong> in <str<strong>on</strong>g>the</str<strong>on</strong>g> People and Culture Factor<br />

Employee_T<br />

raining<br />

Team_W<br />

ork<br />

Top<br />

management<br />

Support<br />

Employee<br />

awareness<br />

KM Pears<strong>on</strong> Correlati<strong>on</strong> .460 ** .384 ** .536 ** .581 **<br />

Sig. (2-tailed) .000 .000 .000 .000<br />

N 102 102 102 102<br />

7. What is <str<strong>on</strong>g>the</str<strong>on</strong>g> impact <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> three factors (People and culture, Processes, and<br />

IT) <strong>on</strong> data sharing?<br />

Table 6: The impact <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> three factors <strong>on</strong> data sharing (Coefficients a )<br />

Coefficients a<br />

Model Unstandardised<br />

Standardised t Sig.<br />

Coefficients<br />

Coefficients<br />

B Std. Error Beta<br />

1 (C<strong>on</strong>stant) 1.930 .477 4.043 .000<br />

People_and_Culture -.028 .171 -.018 -.163 .871<br />

Processes .187 .142 .159 1.316 .191<br />

IT .423 .118 .374 3.593 .001<br />

a. Dependent Variable: Data_Sharing<br />

It’s clear that <str<strong>on</strong>g>the</str<strong>on</strong>g> <strong>on</strong>ly significant variable in sharing data in NHS is IT (positive, B=.423, Sig. =.001)<br />

while <str<strong>on</strong>g>the</str<strong>on</strong>g> o<str<strong>on</strong>g>the</str<strong>on</strong>g>r two factors are not significant (p&c=.871 >.05, processes= .191>.05).<br />

8. What is <str<strong>on</strong>g>the</str<strong>on</strong>g> impact <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> three factors (People and culture, Processes, and<br />

IT) <strong>on</strong> data quality?<br />

Table 7: The impact <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> three factors <strong>on</strong> data Quality (Coefficients a )<br />

Coefficients a<br />

Model Unstandardised<br />

Standardised t Sig.<br />

Coefficients<br />

Coefficients<br />

B Std. Error Beta<br />

1 (C<strong>on</strong>stant) 2.067 .504 4.100 .000<br />

People_and_Culture .007 .181 .004 .041 .968<br />

Processes .029 .150 .024 .196 .845<br />

IT .490 .124 .419 3.938 .000<br />

a. Dependent Variable: Data_quality<br />

It’s clear that <str<strong>on</strong>g>the</str<strong>on</strong>g> <strong>on</strong>ly significant variable in data quality in NHS is IT (positive, B=.490, Sig. =.000)<br />

while <str<strong>on</strong>g>the</str<strong>on</strong>g> o<str<strong>on</strong>g>the</str<strong>on</strong>g>r two factors are not significant.<br />

287

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