Three essays on business intelligence system success

Abstract

Today, business intelligence (BI) systems have become a critical foundation for several organizations. BI systems have consistently been ranked among the top most priority of CIOs due to their ability to transform huge amount of data into organizationally-valued information to fulfill current business needs and faster decision making. However, the success of these systems is still questionable, as in many cases, BI systems have failed to yield the expected value for organizations. Literature shows that majority of prior research either discussed the benefits of BI systems or identified the factors that could improve organizational performance. None of the studies focussed to comprehensively count on adoption, utilization, and success (AUS) of BI systems, providing an appropriate success metrics, and proposing factors that can improve the success of BI systems. Therefore, the overarching aim of the thesis is to; i) present comprehensive knowledge about the current state of BI system AUS, ii) provide a success metrics to measure the success of BI system, iii) identify the factors to assess BI system use and decision-making performance at the individual level. The findings revealed a detailed and comprehensive knowledge of the current state of BI system AUS. In addition, the results revealed a success metrics for measuring the success of the BI system. The empirical analysis demonstrated the significance of system factors i.e. system quality and information quality, and human factors i.e. user competence for improved decision-making performance, which in turns, increase the potential of success. The research will provide direction for researchers and practitioners to understand the ways to obtain the maximum value from implemented BI systems.