Publicação
Business Intelligence in African Small and Medium Enterprises: A Systematic Literature Review
| datacite.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | pt_PT |
| dc.contributor.advisor | Barriguinha, André Figueiredo | |
| dc.contributor.author | Sebastião, Teana de Cássia Pinto de Andrade | |
| dc.date.accessioned | 2025-11-13T13:47:38Z | |
| dc.date.available | 2025-11-13T13:47:38Z | |
| dc.date.issued | 2025-10-30 | |
| dc.description | Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Marketing Intelligence | pt_PT |
| dc.description.abstract | The adoption of Business Intelligence (BI) by Small and Medium Enterprises (SMEs) in Africa is an emerging trend with promising potential. However, African SMEs face unique and often overlooked challenges not commonly encountered in more developed economies, such as infrastructural limitations, financial constraints, and inadequate institutional support. This systematic literature review aims to assess the current state of BI adoption among African SMEs, identify the primary barriers to implementation, and highlight contextual factors that influence the integration and use of BI tools. Following the PRISMA 2020 guidelines, a structured search strategy using Boolean logic was conducted across multiple academic databases and registers. After applying inclusion and exclusion criteria focused on empirical studies, a final sample of 32 peer-reviewed journal articles was selected for analysis. Findings indicate that while there is a growing interest in BI adoption among African SMEs, several critical challenges persist. These include limited financial resources, unstable internet connectivity, insufficient government support, inadequate digital infrastructure, and a lack of skilled personnel. Despite these obstacles, the literature affirms that BI holds significant promise for improving SME competitiveness, market resilience, and sustainable growth. BI adoption in African SMEs remains a complex and uneven process, with no universal framework applicable across all contexts. Country-specific disparities and government inaction in areas such as digital literacy and resource provision continue to hinder widespread adoption. Nevertheless, BI represents a strategic enabler for SME growth and integration into global markets. Future research should aim to expand the geographic scope of analysis, address sector-specific implementation barriers, and explore practical frameworks tailored to the diverse realities of African SMEs. | pt_PT |
| dc.identifier.tid | 204070414 | |
| dc.identifier.uri | http://hdl.handle.net/10362/190660 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Business Intelligence | pt_PT |
| dc.subject | Competitive Intelligence | pt_PT |
| dc.subject | Knowledge Management | pt_PT |
| dc.subject | African Small and Medium Enterprises | pt_PT |
| dc.subject | SDG 8 - Decent work and economic growth | pt_PT |
| dc.subject | SDG 9 - Industry, innovation and infrastructure | pt_PT |
| dc.title | Business Intelligence in African Small and Medium Enterprises: A Systematic Literature Review | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Marketing Analítico, especialização em Marketing Intelligence | pt_PT |