"... In PAGE 7: ... For example, realization of arge responsibility of IS leaders as illustrated explanation is that line managers as- ibility. m (1992) found that 53% of new IS leaders es, while 94% of established IS leaders were Table7 compares four studies that include sa different organizational and cultural backgrounds ship roles in the Norwegian culture may be d other studies done in the US and UK or around t example, Norwegian organizations tend to be than surveyed organizations in the US, and hi Norway tend to be flatter than in most other c aspects can lead to implications for managem future research. According to the Scandinavia information systems development, Scandinavi ing standards and educational levels, an adva 37 this survey, 44% and 45% respectively were e fraction of internal hires in this survey was s no difference between new and estab- ICATIONS AND FUTURE RESEARCH s a continuously evolving role (Stephens, nt research provides a snapshot in this pro- ng these trends in information systems plications for both research and practice.... ..."

"... In PAGE 9: ...periodic and aperiodic task arrival scenarios. An example is shown in Table1 . The numbers shown are notional and chosen for illustrative purposes only.... ..."

"... In PAGE 9: ... Using our analysis, therefore, can both improve schedulability and allow aprioripre-certification of different combinations of periodic and aperiodic task arrival scenarios. An example is shown in Table1 . The numbers shown are notional and chosen for illustrative purposes only.... ..."

"... In PAGE 2: ... All other applications are simulated for billion-instruction execution. Table1 summarizes the complete system branch execution statistics of each studied benchmark. As illustrated in Table 1, the OS activity in the selected benchmarks ranges from 6% in compress to as high as 55% in postgres.... In PAGE 2: ... Table 1 summarizes the complete system branch execution statistics of each studied benchmark. As illustrated in Table1 , the OS activity in the selected benchmarks ranges from 6% in compress to as high as 55% in postgres.update.... In PAGE 7: ... This predictor eliminates the destructive user/OS aliasing by using separate correlation and history information for user mode and kernel mode. It is also observed that when branch history tables are split into user and kernel parts, the kernel BHT can be smaller than the user BHT because of the fewer active branch sites in kernel (as shown in Table1 ). Due to the difficulty in creating a 7:1 or 3:1 split (due to the user BHT becoming not power of 2), we kept the user BHT at half the size of the original Gshare and allocate kernel BHT with a fixed size of 2K entries in our experiments.... ..."