### Table 4 Aggregate implication matrix of Study 1

in Marketing

2002

"... In PAGE 19: ... The aggregate implication matrix is presented in Table 4. Table4 about here In a truly hierarchical network, for each pair of concept i and j, one would expect a concentration of observations either in cell (i,j) or in cell (j,i), but not in both. Concept i is either a means towards concept j, or the other way around, but not both.... In PAGE 19: ... Concept i is either a means towards concept j, or the other way around, but not both. It is directly clear from Table4 that this kind of asymmetry does not hold at all. Rather the opposite is true.... In PAGE 34: ...he sum of the relations a concept has (Freeman, 1979:200), i.e. of the number of indegrees plus the number of outdegrees. Therefore, for each of the concepts, we have calculated centrality as the sum of the indegrees and outdegrees of Table4 . The most central concept, quot;be motivated quot; is in the centre, and the distance at which the other concepts have been plotted in the figure represents the difference in centrality of the respective concepts from quot;be motivated quot;.... ..."

### Table 3: Practical Implications

"... In PAGE 17: ... We experimented with several data sizes, which are 1, 10 and 20 in terms of buckets, but similar results are obtained. Table3 shows the results with data size 10. While the total size of a bcast is small, the experimental results show some di erences from analytical ones, but as the bcast gets bigger we could... In PAGE 18: ...3 Practical Implication We applied the SL into a real world wireless system called Quotrex[9] which periodically broadcasts stock market information (about 160KB) with 10Kbps on FM band. And we could obtain the result in Table3 . AT-opt method has no index but only data.... ..."

### Table 3 Implication result

2000

"... In PAGE 8: ..., 1994), that periodically broadcasts stock market information (about 160 KB) with 10 Kbps on FM band. The result is shown in Table3 . The AT-opt method has no index but only data, so it gives optimal access time but the worst tuning time.... ..."

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### Table 1 : Implication of HPSet

2001

"... In PAGE 3: ... HP-Set stands for High Per- formance index-Set. The index set is composed of the set of statistics shown in Table1 . In a nut- shell, HP-Set is a portfolio with its major indexes being the followings: general statistics, coherent misses, data reuse and locality, granularity and the IO index.... ..."

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