The Influence of Service Quality and Relationship Quality on the Implementation of Data Warehouse Systems Success by Using Information System Success Model

Abstract

Data warehouse (DW) refers to a system architecture rather than a software product or application, and it is used to improve Information Technology (IT) infrastructure. However, the rate of its successful implementation is still low and most firms report failure to leverage the system for their goals. This paper provided a discussion of the results of the model based on Information System (IS) Success Model, particularly the relationship between quality factors and the net benefits obtained from the data warehouse system. Independent variables were selected to gauge service quality and relationship quality service, while the dependent variable measured the net benefits obtained from the system. The paper provided a background on data warehouse and successful implementation of data warehouse, as well as a description of the research model and proposed hypotheses inclusive of the affective factors. It provided a deep insight into the data warehouse success factors with the use of data warehouse success model that ultimately provided informed inferences for decision making regarding successful data warehousing implementation.