A Systematic Literature Review of Business Intelligence Theories and Frameworks

Abstract

Introduction: Business intelligence has become increasingly significant due to technological advancements and competitive pressures, providing valuable insights for decision-making processes. Despite substantial investments in BI systems, many organizations fail to realize expected returns.

Objectives: This study presents a systematic literature review on business intelligence (BI) theories and frameworks, aiming to synthesize the constructs and their impacts within the field.

Methods: Methodologically, this review involved a comprehensive search of multiple academic databases, including IEEE Xplore, SpringerLink, and ScienceDirect, to identify relevant studies published between 2000 and 2023. A total of 30 studies were selected based on predefined inclusion and exclusion criteria, which focused on BI adoption, usage, and success across different regions and research methodologies. The selected studies were analyzed using qualitative content analysis to identify key themes and patterns.

Results: The main results reveal that successful BI implementation is influenced by several critical factors, including organizational structure, technological infrastructure, and management support. The theoretical underpinnings driving BI research were also examined, highlighting the dominant theories and frameworks utilized in the field.

Conclusions: The findings provide a comprehensive understanding of BI's role in organizational performance and strategic decision-making, offering valuable insights for both researchers and practitioners.