The effect of Business Intelligence on Alignment with Performance Management and Strategy: A Meta-Analysis or Systematic Literature Review

Business Intelligence (BI) is viewed to have the potential to contribute to the effectiveness of performance management and strategy; however, its alignment with performance management and strategy appears to be fragmented and underexplored as an emerging field of business research. As a result, the performance system and business strategic goals implementation are compromised due to the lack of knowledge of how BI tools can be applied. Hence, this paper has examined BI tools' alignment with performance management and organizational strategy. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) methodology was used in three stages to highlight the gaps in the current literature and identify the key research themes for the study meta-analysis to be conducted. Data were sourced from secondary literature resources on business intelligence, performance, and strategy published between 2017 and 2024, and reviewed and synthesized from Scopus, Web of Science, Google Scholar, and EBSCO databases. The reviewed empirical study’s findings were consolidated and offered insight into how BI improves performance management processes and attainment of strategic objectives. The findings informed BI tools support performance and strategy, which influence productivity and goal attainment. Thus, recommendations for future research on BI tools to support people management and business development.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-16
DOI
https://doi.org/10.5281/zenodo.16887030
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

The effect of Business Intelligence on Alignment with Performance Management and Strategy: A Meta-Analysis or Systematic Literature Review

Zenodo (CERN European Organization for Nuclear Research)
Big Data and Business Intelligence
article

The effect of Business Intelligence on Alignment with Performance Management and Strategy: A Meta-Analysis or Systematic Literature Review

article en

Abstract

Business Intelligence (BI) is viewed to have the potential to contribute to the effectiveness of performance management and strategy; however, its alignment with performance management and strategy appears to be fragmented and underexplored as an emerging field of business research. As a result, the performance system and business strategic goals implementation are compromised due to the lack of knowledge of how BI tools can be applied. Hence, this paper has examined BI tools' alignment with performance management and organizational strategy. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) methodology was used in three stages to highlight the gaps in the current literature and identify the key research themes for the study meta-analysis to be conducted. Data were sourced from secondary literature resources on business intelligence, performance, and strategy published between 2017 and 2024, and reviewed and synthesized from Scopus, Web of Science, Google Scholar, and EBSCO databases. The reviewed empirical study’s findings were consolidated and offered insight into how BI improves performance management processes and attainment of strategic objectives. The findings informed BI tools support performance and strategy, which influence productivity and goal attainment. Thus, recommendations for future research on BI tools to support people management and business development.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 40%
Big Data and Business Intelligence
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