Strategies for success: A theoretical model for implementing business intelligence systems to enhance organizational performance

Abstract

The use of Business Intelligence Systems (BIS) has seen a significant rise worldwide in recent years, aiming to support organizations in navigating the competitive business environment. Despite this, many organizations struggle to fully benefit from BIS due to challenges in its implementation. A key reason identified for these challenges is the lack of effective measurement strategies. This paper seeks to provide a clear overview of business intelligence and the key factors that influence its successful implementation in organizations. Through a review of existing literature, the study identifies the most critical components necessary for the effective use of a business intelligence system. It proposes a theoretical model for evaluating BIS performance at the organizational level inspired by the Information System Performance Model. This model suggests that system quality, information quality, service quality, relationship quality, and process quality all play a vital role in enhancing perceived usefulness and user satisfaction, thereby leading to organizational benefits. By integrating insights from relevant literature, this paper offers a detailed understanding of how to assess the success of BIS within an organization. The findings highlight the positive impact of business intelligence systems on organizational performance and decision-making processes, aiding organizations in making informed decisions. This research is unique in that it presents a theoretical model for evaluating the success of BIS in organizations based on an extensive review of the literature. Additionally, it extends the application of the Information System Success Model to the domain of BIS for analyzing performance at the management level.