From Insights to Impact: Business Intelligence’s Influence on Jordan’s Industrial Decision-Making
This study aims to understand how Business Intelligence (BI) systems impact decision-making in Jordan's industrial sector. Despite the growing prevalence of BI systems, their influence on enhancing decision-making processes in the industrial sector remains underexplored. The study evaluates the current adoption and application of BI systems across Jordan's industrial sector, identifies the critical success factors for successful BI implementation, and examines relationships between key BI system variables information quality, service quality, system quality, training quality and decision-making effectiveness decision accuracy, timeliness, strategic alignment. The results reveal that information quality and training quality significantly enhance decision-making effectiveness, including accuracy and strategic alignment, while service quality and system quality show moderate impacts. The study concludes by recommending strategies for improving the use of BI systems to strengthen decision-making capabilities within Jordan's industrial sector.
Authors
- Samar Sabra
- Firas Tayseer Ayasrah (ORCID: https://orcid.org/0000-0002-6477-000X)
- Mahmoud Allahham (ORCID: https://orcid.org/0000-0002-8125-5130)
- Wasef Ibrahim Almajali
- Ahmad Y. A. Bani Ahmad
Institutions
- Tafila Technical University (JO)
- Amman Arab University (JO)
- Al Ain University (AE)
- Middle East University (JO)
Publication Details
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1109/acit62805.2024.10877161
- Citations
- 12
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 6.34