Abstract
Business intelligence systems are highly complex systems that senior executives use to process vast amounts of information when making decisions. Business intelligence systems are rarely used to their full potential due to a poor understanding of the factors that contribute to system success. Organizations using business intelligence systems frequently find that it is not easy to evaluate the effectiveness of these systems, and researchers have noted that there is limited scholarly and practical understanding of how quality factors affect information use within these systems. This quantitative post positivist research used the information system (IS) success model to analyze how information quality and system quality influence information use in business intelligence systems. This study was also designed to investigate the moderating effects of maturity constructs (i.e., data sources and analytical capabilities) on the relationships between quality factors and information use.
Highlights
Business intelligence systems support organizational decision-making processes by allowing decision makers to store, access, and analyze important data (Dooley et l, 2018; Eybers & Giannakopoulos, 2015)
The present study addressed this concern by investigating the study’s central question: To what extent do information quality and business intelligence system quality relate to the success of business intelligence systems measured through information use? The results demonstrated that there is a strong relationship between quality factors and information use
The present study utilized that model as a theoretical framework and found that information and system quality are both significantly and positively linked to information use as a measure of business intelligence success
Summary
Business intelligence systems support organizational decision-making processes by allowing decision makers to store, access, and analyze important data (Dooley et l, 2018; Eybers & Giannakopoulos, 2015). Through the use of descriptive and predictive techniques, business intelligence systems allow decision-makers to evaluate data on customers, competitors, business environments, and business processes to achieve competitive advantage. Business intelligence models are not well understood, and there is limited research on the overall effectiveness and success of these systems. The study was conducted to determine whether information quality and business intelligence system quality significantly impact the overall success of business intelligence systems
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