An Empirical Investigation of the Relationship Between DSS Usage and System Performance: A Case Study of a Navigation Support System.

Author List: Le Blanc, Louis A.; Kozar, Kenneth A.;
MIS Quarterly, 1990, Volume 14, Issue 3, Page 263-277.
System performance measurement often is conducted using subjective methods, such as self-reporting of utilization, or surrogate measures, such as user satisfaction. High system utilization or high user satisfaction provides no guarantee of high performance. This study reports initial research relating system utilization, measured as a continuous and independent variable, with an objective measure of system performance. The usage or participation rate of the New Orleans Vessel Traffic Service was correlated with its performance criterion of vessel safety, operationalized as the number of marine accidents. The evaluation model reported in this research employed utilization as an independent variable in the regression equation. This utilization measure was inversely correlated with vessel accidents -- increases in DSS utilization were associated with reductions in marine casualties, assuming fixed levels of the other explanatory variables. This research has provided evidence that the system has been very effective in reducing vessel accidents -- the objective performance criterion -- on the lower Mississippi River. IS managers should consider this method of evaluation as a means of increasing information management credibility.
Keywords: Decision support systems; information system usage; system performance measurement
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#276 0.225 satisfaction information systems study characteristics data results using user related field survey empirical quality hypotheses important success various indicate tested
#114 0.150 performance firm measures metrics value relationship firms results objective relationships firm's organizational traffic measure market study improve accounting measuring aggregate
#209 0.136 results study research information studies relationship size variables previous variable examining dependent increases empirical variance accounting independent demonstrate important addition
#122 0.106 attention utilization existing codification model received does limitations theories receiving literature paying causes additional building examine examination focusing technological initial
#74 0.091 high low level levels increase associated related characterized terms study focus weak hand choose general lower best predicted conditions implications
#157 0.069 evaluation effectiveness assessment evaluating paper objectives terms process assessing criteria evaluations methodology provides impact literature potential important evaluated identifying multiple
#11 0.067 structural pls measurement modeling equation research formative squares partial using indicators constructs construct statistical models researchers latent analysis results sem