Measuring data warehousing success: an empirical investigation applying the DeLone and McLean model

Authors:
Hajer Kefi;Nicole Koppel
Affiliations:
Paris Descartes University, CEDAG (EA 1516), 143, Avenue de Versailles, 75016, Paris, France.;Montclair State University, Montclair, New Jersey, 07043, USA
Venue:
International Journal of Data Analysis Techniques and Strategies
Year:
2011

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Abstract

The purpose of this study is to examine the factors that affect data warehousing success. The DeLone and McLean (1992) original model has been used as a backbone to construct an evaluation instrument which has been operationalised using data warehousing and IS success literature review and an exploratory case study conducted in a large European financial company. Two contextual variables: user participation and user involvement are introduced in the model and their roles on individual impacts of the data warehouse are tested. Our results confirm the determining power of information quality and user satisfaction as antecedents to the system use. Concerning the roles played by the contextual factors, only the direct effect of user involvement on individual impacts is supported.