Business Intelligence and Business Value in Organisations: A Systematic Literature Review

Abstract

Organisations must derive adequate business value (BV) from Business Intelligence (BI) adoption to retain their profitability and long-term sustainability. Yet, the nuances that define the realisation of BV from BI are still not understood by many organisations that have adopted BI. This paper aims to foster a deeper understanding of the relationship between Business Intelligence (BI) and business value (BV) by focusing on the theories that have been used, the critical factors of BV derivation, the inhibitors of BV, and the different forms of BV. To do this, a systematic literature review (SLR) methodology was adopted. Articles were retrieved from three scholarly databases, namely Google Scholar, Scopus, and Science Direct, based on relevant search strings. Inclusion and exclusion criteria were applied to select ninety-three (93) papers as the primary studies. We found that the most used theoretical frameworks in studies on BI and BV are the Resource-Based View (RBV), Dynamic Capabilities Theory (DCT), Technology-Organisation-Environment (TOE), and Contingency Theory (CON). The most acknowledged critical factors of BV are skilled human capital, BI Infrastructure, data quality, BI application and usage/data culture, BI alignment with organisational goals, and top management support. The most acclaimed inhibitors of BV are data quality and handling, data security and protection, lack of BI Infrastructure, and lack of skilled human resource capital, while customer intelligence is the most acknowledged form of BV. So far, many theories that are relevant to BI and BV, critical factors, inhibitors, and forms of BV were marginally mentioned in the literature, requiring more investigations. The study reveals opportunities for future research that can be explored to gain a deeper understanding of the issues of BV derivation from BI. It also offers useful insights for adopters of BI, BI researchers, and BI practitioners.

The Relationship Between Innovative Behavior and Business Intelligence System Adoption as Mediated by Competitive Intelligence and Moderated by Innovative Dynamism

“…The RBV emphasizes that organizations can achieve and sustain competitive advantage through their unique and valuable resources (Lockett et al, 2009;Paradza & Daramola, 2021).…”

“…On the other hand, BIS offers valuable data-driven insights to support informed decision-making and strategic planning (Boldosova & Luoto, 2020;Salisu et al, 2021). The Resource-Based View (RBV) theory provides a theoretical lens to understand how organizations can gain and sustain a competitive advantage through their unique and valuable resources (Lockett et al, 2009;Paradza & Daramola, 2021). In this study, RBV serves as the guiding framework to explore the relationships between IB, BIS adoption, competitive intelligence (CI), and innovative dynamism (ID).…”

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

“…This involves evaluating organizational processes in terms of their adaptability, reliability, accuracy, and other relevant factors. Empirical research, such as the study by Paradza and Daramola (2021), has shown that high process quality significantly and positively impacts perceived usefulness. Additionally, some studies have found a correlation between process quality and customer satisfaction, suggesting that effective processes contribute to overall client contentment.…”

A Step Closer to Understanding Implementation of Business Intelligence in the Organizational Operations: A Systematic Literature Review

“…Using the questionnaire method, directors and experts of startups were examined, and the statistical processing determined that the direct impact of BI technologies on financial performance is not clear, but the direct impact of BI technologies on innovation and online learning is obvious and clear, and that in turn contributes to better financial performance, which would could confirm the indirect influence of BI technologies on the financial performance of startup companies, where the mentioned technologies play an intermediary role in that process. The fourth paper (Paradza, Daramola, 2021) provides an overview of the literature on business intelligence and business value in organizations. As one of the main results of the research, the main critical factors for business value from the implementation of BI technologies are listed, namely: qualified human capital, BI infrastructure, data quality, BI application and its use/data, culture, alignment of BI with organizational goals and support top management, while the basic challenges relate to data quality and handling, data security and protection, as well as the lack of BI infrastructure and the lack of qualified human capital.…”