Identifying the basic dimensions and components affecting the success of business intelligence systems (meta-synthesis approach)

Document Type : Original research

Authors

1 Master of Business Administration, Department of Management, Faculty of Economics and Management, University of Tabriz, Tabriz, Iran

2 Associate Professor, Department of Management ,Faculty of Economics and Management, University of Tabriz, Tabriz, Iran

3 Associate Professor, Department of Management, Faculty of Economics and Management, University of Tabriz, Tabriz, Iran

Abstract

Business intelligence (BI) systems are implemented by organizations to extract knowledge and insights from their data, enabling them to make efficient and effective decisions. However, statistics indicate that over 50% of BI projects fail. Numerous studies have attempted to identify the factors influencing the success of these systems. However, varying definitions of success have led to different findings. To address this issue, a qualitative and fundamental research study was conducted using a meta-synthesis method. The aim was to identify and introduce the dimensions and components that impact the success of these systems. This study identified 33 components and 5 dimensions that contribute to success. Additionally, a clear definition of the success of business intelligence was established, aiming to resolve existing contradictions. the findings of this research have significant implications. Practitioners in this field will gain a comprehensive understanding of the variables they should prioritize at every stage of the system's life cycle, enhancing their decision-making processes. Moreover, researchers in the field of information systems success will benefit from a deeper understanding of the available studies from the past decade.

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History

  • Receive Date: 31 December 2023
  • Revise Date: 06 February 2024
  • Accept Date: 19 February 2024

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