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Predicting Critical Success Factors of Business Intelligence Implementation for Improving SMEs’ Performances: a Case Study of Lagos State, Nigeria

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Abstract

With emergence of new technologies in the age of digitisation, the implementation of successful business intelligence become transformative for small- and medium-sized enterprises. Therefore, this research aims to investigate the impact of success factors on the implementation of business intelligence in SMEs. A case study of Lagos State, Nigeria, is utilised for this study. A quantitative research method was used with the sample size of 165 respondents from the employees who used business intelligence in SMEs. The data obtained were analysed using the partial least squares-structural equation modelling. The findings of this study revealed that there are some key success factors such as knowledge management, technology orientation, market intelligence, and orientation and entrepreneurial orientation, which affect business intelligence implementation in SMEs. The other factors such as the organisational resources, management structure, and organisational culture were found to be insignificant success factors for the implementation of business intelligence in SMEs. This study provides an insightful understanding of the key success factors for business intelligence implementation which has an impact on business outcomes. The findings of this study will assist entrepreneurs and academicians to construct a business intelligence system that can improve overall organisational efficiency in an ever-changing economic environment. The implementation of a successful business intelligence will aid decision-making, promote economic development for businesses, foster innovation in firms, and increase company performance and productivity, all of which are part of the core sustainable development goals such as SDG 8 and SDG 9.

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Acknowledgements

The authors would like to thank School of Computer Sciences, Universiti Sains Malaysia for the unlimited support to prepare this paper.

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  1. School of Computer Sciences, Universiti Sains Malaysia, 11800, Minden, Penang, Malaysia

    Mudashiru Lateef & Pantea Keikhosrokiani

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  1. Mudashiru Lateef
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Lateef, M., Keikhosrokiani, P. Predicting Critical Success Factors of Business Intelligence Implementation for Improving SMEs’ Performances: a Case Study of Lagos State, Nigeria. J Knowl Econ 14, 2081–2106 (2023). https://doi.org/10.1007/s13132-022-00961-8

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