Adoption of an Intranet Performance Reporting System
19
H2 suggested that three personality variables related to computers were positively related to the
adoption of e-Power. This hypothesis was supported. Positive attitudes toward computers and a
lack of computer anxiety were positively related to all four e-Power measures. Computer self-
efficacy also was significantly related to three of the four adoption measures. The exception was
evaluation of e-Power (r= .09, p= .23).
Personal innovativeness. H3 predicted that personal innovativeness would be related to
e-Power adoption, but generally was not supported. Innovativeness was only correlated to self-
reported familiarity with e-Power (r=.22, p=.002).
Demographics. H4 tested the relationship between age and sex and the adoption of e-
Power. However, no significant results were found for age using straight-line correlations or for
sex using a one-way analysis of variance comparing the scores of males versus females on each
of the adoption measures. A secondary analysis of covariance controlling for effects of age on
gender produced similar nonsignificant results.
Characteristics of the innovation. H5 predicted that perceived characteristics of e-Power
were positively related to the adoption measures. This hypothesis was supported; the 5-item
innovation characteristics index was highly correlated with all four measures (all r>.45, p=.001).
Implementation success. Finally, H6 predicted that success in implementing or using e-
Power would lead to higher adoption. This was generally supported, but not in every instance.
Self-reports of the extent of problems encountered were unrelated to familiarity, but positively
and strongly correlated with assessments, evaluation (decisions), and willingness to recommend.
However, both the number of problems reported and the number of consultations sought also
impacted the measures in several instances. The fewer the number of problems reported, the
Convention