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

Hajer Kefi, Nicole Koppel

Research output: Contribution to journalArticle

5 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)178-201
Number of pages24
JournalInternational Journal of Data Analysis Techniques and Strategies
Volume3
Issue number2
DOIs
StatePublished - 1 Dec 2011

Fingerprint

Data Warehousing
Data warehouses
Information Quality
User Satisfaction
Direct Effect
Data Warehouse
Literature Review
Backbone
Model
Evaluation
User involvement
Empirical investigation
Data warehousing
Industry
User satisfaction
IS success
Factors
Data warehouse
Direct effect
Literature review

Keywords

  • Data warehousing success
  • DeLone and McLean model
  • Part least squared analyses
  • User involvement
  • User participation

Cite this

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