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Extending the understanding of critical success factors for implementing business intelligence systems
Author(s) -
Yeoh William,
Popovič Aleš
Publication year - 2016
Publication title -
journal of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.903
H-Index - 145
eISSN - 2330-1643
pISSN - 2330-1635
DOI - 10.1002/asi.23366
Subject(s) - critical success factor , knowledge management , extant taxon , computer science , business intelligence , dimension (graph theory) , domain (mathematical analysis) , process management , information system , implementation , business , political science , mathematical analysis , mathematics , evolutionary biology , pure mathematics , law , biology , programming language
Extant studies suggest implementing a business intelligence ( BI ) system is a costly, resource‐intensive and complex undertaking. Literature draws attention to the critical success factors ( CSFs ) for implementation of BI systems. Leveraging case studies of seven large organizations and blending them with Y eoh and K oronios's (2010) BI CSFs framework, our empirical study gives evidence to support this notion of CSFs and provides better contextual understanding of the CSFs in BI implementation domain. Cross‐case analysis suggests that organizational factors play the most crucial role in determining the success of a BI system implementation. Hence, BI stakeholders should prioritize on the organizational dimension ahead of other factors. Our findings allow BI stakeholders to holistically understand the CSFs and the associated contextual issues that impact on implementation of BI systems.