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calculation and categorization of scores is applied here:

Table 3 calculation and categorization of scores is applied here:

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lepth details can be given regarding the activities of the researched networks. The table belo illustrates, on an aggregated level, network level goals and types.
lepth details can be given regarding the activities of the researched networks. The table belo illustrates, on an aggregated level, network level goals and types.
Figure 2: firm membership in Brainport network:
Figure 2: firm membership in Brainport network:
Table 1 Summary of Network Evaluation Relationships Table 1: Provan and Milward (2001): Do networks really work? A framework for Evaluating Public-sector Organizational networks, Table 1.
Table 1 Summary of Network Evaluation Relationships Table 1: Provan and Milward (2001): Do networks really work? A framework for Evaluating Public-sector Organizational networks, Table 1.
displays criteria for categorizing networks.
displays criteria for categorizing networks.
In table 5, categorization on the variable centralized integration is illustrated. Table 5: centralized integration measures
In table 5, categorization on the variable centralized integration is illustrated. Table 5: centralized integration measures
1981) which impedes an accurate representation of the actual network
1981) which impedes an accurate representation of the actual network
the labels per network.
the labels per network.
forms the umbrella of the network, the network manager of network E has a much more supportive and facilitative role.
forms the umbrella of the network, the network manager of network E has a much more supportive and facilitative role.
found in network G which on average scores 2,7.
found in network G which on average scores 2,7.
Item-Total Statistics
Item-Total Statistics
Total Variance Explained
Total Variance Explained
Total Variance Explained
Total Variance Explained
a. When components are correlated, sums of squared loadings cannot be added to obtain a total variance. Extraction Method: Principal Component
a. When components are correlated, sums of squared loadings cannot be added to obtain a total variance. Extraction Method: Principal Component
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