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Correlation Between Relation Between Trust And Knowledge

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Correlation analysis
Inter-correlation between all the variables was calculated with Person’s correlation analysis. First, correlation between the relationship communication was tested and found positively correlated with knowledge sharing, Pearson 's r(257) = .418, p < .001. Thus, the first correlation hypothesis H1 is supported. Then, correlation between relationship communication and trust were tested to validate H2a and H2b.The results for relationship communication and affective trust were Pearson 's r(257) = .664, p < .001; for relationship communication and cognitive trust, Pearson 's r(257) = .491, p < .001. Therefore, both hypotheses are supported. And finally, correlation between trust and knowledge sharing was also tested. …show more content…

However, for affective based trust, the result is β=.007, CI=-.10 to .13 with a result of zero in the confidence interval (CI) and therefore it is considered as insignificant. The direct effect is still significant; it implies that trust is a partial mediator and not a full one. Trust is mediating about 52% of the relationship when only cognitive trust has an impact, affective trust being found insignificant. Both covariates, local/global team (p = .686) and temporary/ongoing team (p = .485), were found to be insignificant, thus they did not affect the mediation model. And finally, this mediating model explained a significant proportion of the variance in relationship communication (adj-R2=.316, F(7,351)=17.73, p < .001) (Table 2). The H4a hypothesis was supported where cognitive-based trust was found to be partial mediator. However, the H4b hypothesis was rejected where affective-based trust seemed to have no impact on the relationship. Table2 - Multiple mediation analysis Relationship Communication
Indirect Path β .406*
Direct Path β .196*
Total Mediation % 0.52 β .210*
Affective Mediation β 0.007 CI -.10 to .13
Cognitive Mediation β 0.203 CI .13 to .28
Local/global p 0.686
Covariate
Temporary/ongoing
Covariate p 0.485 adj-R2 .316*
F(7,351) 17.73
* p < .001
V. Conclusions
The results show strong significant relationship between the different variables of the study in a virtual environment. Thus, relationship communication is

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