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208 Mullany and Lay
researcher’s cognitive style on R-score evaluation needs to be investigated. Such
a study might involve, for example, the administration of the R-score by several
different persons to the same group of users, to investigate whether or not there
were any significant differences amongst their results. If the R-score were shown
to be insensitive to the nature of the investigator, it would then be usable as a system
success standard as previously noted. If, however, the reverse were shown, then
its use would remain limited to user resistance in the relative sense only. In other
words, between systems be investigated by the same researcher, as in this study.
It remains to be shown to what extent the R-score is associated with all forms
of user resistance. It would thus be of interest to construct other measures of
resistance and test their associations with the R-score. There is some indication
from Markus’s study that complaints from users are a predominant form of user
resistance. Further research that demonstrated this conclusively would make the Rscore
a more convincing global measure of user resistance than could be claimed
in this study.
A further area for research is an analysis of the similarities and differences of
the four general cognitive cases of analyst-user dyads, as given below:
1) Analyst an adaptor, user an adaptor
2) Analyst an adaptor, user an innovator
3) Analyst an innovator, user an adaptor, and
4) Analyst an innovator, user an innovator
Of particular interest are the questions of which of these is most efficient and/
or effective in the short term, and which in the long term. The main hypothesis (HI)
of the current study shows that user resistance will be at a minimum when the analyst
and user are of like cognitive styles. This in turn suggests that dyads I) and 4) above
might be more efficient and effective than the other two in the short term. However,
no reliable inferences could be made regarding the effect of matching persons of
similar or dissimilar cognitive styles in the long term.
REFERENCES
Bailey, J.E. & Pearson, S.W., (1983). Development of a tool for measuring and
analyzing computer user satisfaction. Management Science, 29 (5).
Bruwer, P. (1984). A descriptive model of success for computer-based information
systems. Information and Management, 7.
De Brabander, B. & Thiers, G. (1984). Successful information systems development
in relation to situational factors that affect effective communication
between MIS-users and EDP-specialists. Management Science, 30 (2).
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