Investigating the determinants of continuous use intention of business intelligence systems in Nigerian banks: the role of regulatory support

Purpose This study investigates the determinants influencing continuous use intention to use Business Intelligence (BI) systems within commercial banks in Nigeria. It aims to enhance the understanding of how technological, organisational, and environmental aspects impact the sustained adoption of BI systems, providing insights for improving their long-term effectiveness in the banking sector. Design/methodology/approach The study employs a partial least squares structural equation modelling (PLS-SEM) approach to analyse data collected from 346 respondents, including IT managers, business intelligence managers, and other relevant personnel from six major banks. The research framework integrates the Technology, Organisation, and Environment (TOE) framework and the Information Systems (IS) success model. Findings Compatibility, top management support, competitive pressure (CMP), information quality, and system quality positively influence BI system use, while complexity negatively affects it. Regulatory support does not significantly moderate the relationship between top management support and CMP, emphasising internal and competitive factors in sustained BI adoption. Originality/value By integrating the TOE framework and IS success model, this study highlights key factors influencing BI system use in Nigerian banks. It underscores the need for user-friendly, high-quality systems, strong internal management, and proactive competitive strategies to ensure sustained adoption and long-term success.

Authors

Publication Details

Journal
Management Decision
Published
2025-05-08
DOI
https://doi.org/10.1108/md-08-2024-1848
Citations
5
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
11.42
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article

Investigating the determinants of continuous use intention of business intelligence systems in Nigerian banks: the role of regulatory support

Ahmet Adalıer, Labaran Isiaku
5 citations
Management Decision
Big Data and Business Intelligence
11.42
article

Investigating the determinants of continuous use intention of business intelligence systems in Nigerian banks: the role of regulatory support

Ahmet Adalıer, Labaran Isiaku
article en
5 citations

Abstract

Purpose This study investigates the determinants influencing continuous use intention to use Business Intelligence (BI) systems within commercial banks in Nigeria. It aims to enhance the understanding of how technological, organisational, and environmental aspects impact the sustained adoption of BI systems, providing insights for improving their long-term effectiveness in the banking sector. Design/methodology/approach The study employs a partial least squares structural equation modelling (PLS-SEM) approach to analyse data collected from 346 respondents, including IT managers, business intelligence managers, and other relevant personnel from six major banks. The research framework integrates the Technology, Organisation, and Environment (TOE) framework and the Information Systems (IS) success model. Findings Compatibility, top management support, competitive pressure (CMP), information quality, and system quality positively influence BI system use, while complexity negatively affects it. Regulatory support does not significantly moderate the relationship between top management support and CMP, emphasising internal and competitive factors in sustained BI adoption. Originality/value By integrating the TOE framework and IS success model, this study highlights key factors influencing BI system use in Nigerian banks. It underscores the need for user-friendly, high-quality systems, strong internal management, and proactive competitive strategies to ensure sustained adoption and long-term success.

Management Decision
Openalex Percentile: Top 2%
Big Data and Business Intelligence
11.42
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Investigating the determinants of continuous use intention of business intelligence systems in Nigerian banks: the role of regulatory support — Ahmet Adalıer, Labaran Isiaku · Management Decision (2025) | TGRS Research Map | TGRS