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Preface for the Third Edition - Read

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14. Systems 559<br />

advanced tele-learning applications like live broadcasting of videos or video<br />

server. This might change in <strong>the</strong> near future, though, as investment in network<br />

infrastructure is considerable, though not at <strong>the</strong> same pace throughout <strong>the</strong> world.<br />

This means that especially large multinational organizations will encounter bandwidth<br />

problems in certain parts of <strong>the</strong> world even in <strong>the</strong> longer run. This is especially<br />

true <strong>for</strong> <strong>the</strong>ir operations in countries with infrastructure that is still challenged<br />

by <strong>the</strong> large gap between supply and demand if <strong>the</strong>y try to install KM programs<br />

that should discriminate some of <strong>the</strong>ir subsidiaries, e.g., in <strong>the</strong> third world.<br />

Only a small portion of <strong>the</strong> list of KMS functions could be compared to <strong>the</strong> more<br />

superficial analysis of KMS functions per<strong>for</strong>med in previous studies. The share of<br />

organizations that used functions that actually could be compared, did not rise with<br />

respect to previous studies. Hypo<strong>the</strong>sis 6: ’Compared to earlier studies significantly<br />

more organizations use ICT in general and knowledge management systems<br />

in particular to support <strong>the</strong>ir KM activities’ was not supported <strong>for</strong> KMS functions.<br />

However, according to <strong>the</strong> interviews it seems that organizations have implemented<br />

a number of advanced KMS functions only recently so that <strong>the</strong> use of <strong>the</strong>se<br />

functions might well be on <strong>the</strong> rise.<br />

Table C-49 gives an overview of <strong>the</strong> results <strong>for</strong> <strong>the</strong> different KMS architectures.<br />

The aggregation of means <strong>for</strong> ordinary scaled variables cannot be interpreted seriously.<br />

The numbers are meant to give a general indication of which categories of<br />

functions were used by what share of organizations and in what frequency 123 .<br />

TABLE C-49. Aggregated comparison of KMS functions according to KMS<br />

architectures<br />

KMS architecture number<br />

of functions<br />

average number<br />

of KMS functions<br />

per organization<br />

average share of<br />

organizations with<br />

KMS functions<br />

mean frequency<br />

of usage of<br />

KMS functions<br />

integrative 28 10.03 (35.82%) 53.04% 3.12<br />

interactive 20 7.21 (36.05%) 50.24% 2.74<br />

bridging integrative<br />

and interactive<br />

14 4.01 (28.64%) 42.59% 3.00<br />

total 62 21.25 (34.27%) 49.77% 2.97<br />

The average number of functions per organization was calculated as <strong>the</strong> mean<br />

of <strong>the</strong> number of integrative, interactive and bridging KMS functions implemented<br />

per organization. The average share of organizations with functions was computed<br />

using <strong>the</strong> following <strong>for</strong>mula:<br />

123. The mean over means and <strong>the</strong> mean over medians differ only marginally, though, and<br />

<strong>the</strong> general picture has been confirmed in <strong>the</strong> interviews, so that <strong>the</strong> results all point in<br />

<strong>the</strong> same direction.

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