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The analysis of this data shows the existence of interdependence between satisfaction and University/Work relationship, while general information on the site seems less. The link

Table 2 The analysis of this data shows the existence of interdependence between satisfaction and University/Work relationship, while general information on the site seems less. The link

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understand the impact of different on line communication tools with more interactivity from the faculty website such as the Facebook faculty profile, YouTube faculty channel and facult
understand the impact of different on line communication tools with more interactivity from the faculty website such as the Facebook faculty profile, YouTube faculty channel and facult
Table 1. Synthesis of enrolments in the Economics Faculty A.A. 2009/2010
Table 1. Synthesis of enrolments in the Economics Faculty A.A. 2009/2010
Source: our results Figure 4. Website quality variable is greater than for the others, as is shown in figure 4. ‘aph identify the different characteristics investigated) given that the variance level for thi:
Source: our results Figure 4. Website quality variable is greater than for the others, as is shown in figure 4. ‘aph identify the different characteristics investigated) given that the variance level for thi:
Figure 3 The importance of information
Figure 3 The importance of information
Figure 5. Educational and Quality
Figure 5. Educational and Quality
Source: our results
Source: our results
Figure 7. University& Work and Quality of Information positive evaluation of the quality of information (Fig. 7)
Figure 7. University& Work and Quality of Information positive evaluation of the quality of information (Fig. 7)
Source: our results on line services supplied by the faculty through the website.
Source: our results on line services supplied by the faculty through the website.
Figure 9. Satisfaction
Figure 9. Satisfaction
We first looked at all the variables studied separately above, dividing students by course year
We first looked at all the variables studied separately above, dividing students by course year
higher for students who use internet once a week. Students who ‘surf’ the Internet every day
higher for students who use internet once a week. Students who ‘surf’ the Internet every day
that students will face in the future.
that students will face in the future.
Table 4. Knowledge of web 2.0 28% were not; among the reasons given, 50% of those interviewed declared they were not
Table 4. Knowledge of web 2.0 28% were not; among the reasons given, 50% of those interviewed declared they were not
Table 5. Perceived quality of the information present on Facebook and Forum relative factors of quality show that there is an intense interdependence link as we can see
Table 5. Perceived quality of the information present on Facebook and Forum relative factors of quality show that there is an intense interdependence link as we can see
Table 6. Correlation between Customer Satisfaction variable and quality factors - Facebook
Table 6. Correlation between Customer Satisfaction variable and quality factors - Facebook
Source: our results, Stata9 Table 9. Regression - Facebook
Source: our results, Stata9 Table 9. Regression - Facebook
Figure 12. Services Source: our results
Figure 12. Services Source: our results
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