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