TY - JOUR
T1 - Measuring data warehousing success
T2 - An empirical investigation applying the DeLone and McLean model
AU - Kefi, Hajer
AU - Koppel, Nicole
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Data warehousing success
KW - DeLone and McLean model
KW - Part least squared analyses
KW - User involvement
KW - User participation
UR - http://www.scopus.com/inward/record.url?scp=84862747608&partnerID=8YFLogxK
U2 - 10.1504/IJDATS.2011.039850
DO - 10.1504/IJDATS.2011.039850
M3 - Article
AN - SCOPUS:84862747608
SN - 1755-8050
VL - 3
SP - 178
EP - 201
JO - International Journal of Data Analysis Techniques and Strategies
JF - International Journal of Data Analysis Techniques and Strategies
IS - 2
ER -