Ranking information system problems in a user environment

Abstract

In a previous research project (Bruwer [ 1 J) a methodology to identify information system problems from a user point of view, was presented. This methodology was also illustrated by means of empirical data collected from the management of a very large organisation. In this methodology a number of statistical techniques such as regression (stepwise and multiple) and operational research techniques (linear programming) were used in the analysis of the data. With these methods it was possible to find optimal solutions for certain decision variables contributing to the level of success of the information system. It was also suggested in the article that problem areas which were identified could be prioritise by making use of differences between optimum values of decision variables and their corresponding measured mean values. In this article, however, a methodology is presented where not only these differences but also other computed values give a better criteria for the management of an organisation to identify and prioritise problems in the overall information system function.