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.

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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
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article

From Insights to Impact: Business Intelligence’s Influence on Jordan’s Industrial Decision-Making

Samar Sabra, Firas Tayseer Ayasrah, Mahmoud Allahham, Wasef Ibrahim Almajali et al.
12 citations
Big Data and Business Intelligence
6.34
article

From Insights to Impact: Business Intelligence’s Influence on Jordan’s Industrial Decision-Making

Samar Sabra, Firas Tayseer Ayasrah, Mahmoud Allahham, Wasef Ibrahim Almajali, Ahmad Y. A. Bani Ahmad
article en
12 citations

Abstract

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.

Tafila Technical University (JO), Amman Arab University (JO), Al Ain University (AE), Middle East University (JO)
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Big Data and Business Intelligence
6.34
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From Insights to Impact: Business Intelligence’s Influence on Jordan’s Industrial Decision-Making — Samar Sabra, Firas Tayseer Ayasrah, et al. · (2024) | TGRS Research Map | TGRS