Business Intelligence Systems as a Strategic Driver of Digital Innovation

Ibrahim Abu-Alsondos, Rana Husseini Frangieh (), Saeed Hameed Aldulaimi, Worood Ahmad Melhem, Mahmoud Alghizzawi and Aws Raed Mahafdhah
Additional contact information
Ibrahim Abu-Alsondos: AUE - American University in the Emirates - الجامعة الأمريكية في الإمارات
Rana Husseini Frangieh: SUAD - Sorbonne University Abu Dhabi, SUAD_SAFIR - SUAD - Sorbonne University Abu Dhabi
Saeed Hameed Aldulaimi: ASU - Applied Science University
Mahmoud Alghizzawi: Applied Science Private University

Post-Print from HAL

Abstract: This work explores how artificial intelligence–when integrated into business intelligence systems-can become a strategic lever for digital innovation, while simultaneously becoming a potential source of trust erosion if accountability and governance principles are absent. Despite the widespread adoption of analytics and AI in business intelligence, the literature tends to divide into two paths: one that examines the impact of business intelligence and analytics on performance, decision-making, and competitive advantage and another that focuses on responsible AI principles such as fairness, transparency, accountability, and risk management. This separation results in deficiency in explaining the "missing link" between responsibility as an organizational capacity and trust as an intermediary mechanism, and then between trust and sustainable competitive outcomes within digital innovation systems. This research adopts a theoretical approach based on an integrative literature review and the development of test proposals/hypotheses linking the dimensions of responsible integration and trust with the outputs of digital innovation and competitive advantage. It also identifies contextual variables (such as data governance maturity and organizational pressure) that can strengthen or weaken these relationships. The research contributes theoretically by bridging disparate literatures and practically by providing a guiding model that enables organizations to transform responsibility from a standard slogan into an operational and strategic capability that generates both value and trust.

Date: 2026-05-06
References: Add references at CitEc
Citations:

Published in 2026 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS), May 2026, Manama, Bahrain. pp.1100-1106, ⟨10.1109/ICETSIS68266.2026.11549396⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05758687

DOI: 10.1109/ICETSIS68266.2026.11549396

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().