TY - JOUR
T1 - The impact of business intelligence systems on an organization’s effectiveness
T2 - The role of metadata quality from a developing country’s view
AU - Masa’Deh, Ra’ed
AU - Obeidat, Zaid
AU - Maqableh, Mahmoud
AU - Shah, Mahmood
PY - 2018/11/19
Y1 - 2018/11/19
N2 - Business Intelligence (BI) systems are extensively used by large hotels in Jordan; however their effectiveness has not yet been researched. The aim of this research is to explore the relationships among definitional metadata quality, data quality metadata quality, navigational metadata quality, lineage metadata quality, perceived ease of use, perceived usefulness and system effectiveness in enhancing organizational effectiveness of five star hotels in Aqaba, Jordan. To test the research hypotheses, 225 usable responses containing 37 items were analyzed using structural equation modeling (SEM) and a Machine Learning technique. Results suggest that organizational effectiveness was directly and positively affected by perceived usefulness and BI systems effectiveness. Nevertheless, perceived usefulness did not impact BI systems effectiveness.
AB - Business Intelligence (BI) systems are extensively used by large hotels in Jordan; however their effectiveness has not yet been researched. The aim of this research is to explore the relationships among definitional metadata quality, data quality metadata quality, navigational metadata quality, lineage metadata quality, perceived ease of use, perceived usefulness and system effectiveness in enhancing organizational effectiveness of five star hotels in Aqaba, Jordan. To test the research hypotheses, 225 usable responses containing 37 items were analyzed using structural equation modeling (SEM) and a Machine Learning technique. Results suggest that organizational effectiveness was directly and positively affected by perceived usefulness and BI systems effectiveness. Nevertheless, perceived usefulness did not impact BI systems effectiveness.
KW - Business intelligence systems effectiveness
KW - Jordan
KW - machine learning technique
KW - structural equation modeling
KW - survey research
UR - http://www.scopus.com/inward/record.url?scp=85057309903&partnerID=8YFLogxK
U2 - 10.1080/15256480.2018.1547239
DO - 10.1080/15256480.2018.1547239
M3 - Article
AN - SCOPUS:85057309903
SN - 1525-6480
JO - International Journal of Hospitality and Tourism Administration
JF - International Journal of Hospitality and Tourism Administration
ER -