A Quasi-Experimental Analysis on the Influence of Satisfaction and Complexity on Information Quality Outcomes

It has been reported that more than two thirds of users are satisfied with the quality of the data they process at work. However, literature suggests that IQ (information quality) problems are becoming progressively prevailing. We perform a quasi-experimental analysis and investigate both, main effects of satisfaction and complexity as well as interaction effects of them. For information quality outcome we use users’ perception of the importance of IQ dimensions. We find evidence for main effects of both factors as well as an interaction effect on various dimensions of IQ. Satisfaction levels influence the perceived importance of conciseness and security; Complexity levels influence the perception of conciseness; and accuracy and timeliness are found to be influenced by interactional effects. We discuss potential implications of the findings and suggest more experimental research in this domain