Theoretical framework of critical success factors (CSFs) for Business Intelligence (BI) System

Asma I. Magaireah, Hidayah Sulaiman, Nor'Ashikin Ali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Business Intelligence (BI) is relatively a new evolving research topic, it lacks to develop its own theoretical foundations. This study aims to propose theoretical framework of BI system success which combines together the critical success factors (CSFs) for BI system with quality constructs as a measurements to assess BI success. This study contributes to the body of knowledge by adding a new organizational factors such as user empowerment and organizational structure as a CSFs for BI system.

Original languageEnglish
Title of host publicationICIT 2017 - 8th International Conference on Information Technology, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages455-463
Number of pages9
ISBN (Electronic)9781509063321
DOIs
Publication statusPublished - 20 Oct 2017
Event8th International Conference on Information Technology, ICIT 2017 - Amman, Jordan
Duration: 17 May 201718 May 2017

Publication series

NameICIT 2017 - 8th International Conference on Information Technology, Proceedings

Other

Other8th International Conference on Information Technology, ICIT 2017
CountryJordan
CityAmman
Period17/05/1718/05/17

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All Science Journal Classification (ASJC) codes

  • Information Systems
  • Health Informatics
  • Information Systems and Management
  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Magaireah, A. I., Sulaiman, H., & Ali, NA. (2017). Theoretical framework of critical success factors (CSFs) for Business Intelligence (BI) System. In ICIT 2017 - 8th International Conference on Information Technology, Proceedings (pp. 455-463). [8080042] (ICIT 2017 - 8th International Conference on Information Technology, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICITECH.2017.8080042