Data Literacy and BI Tool Adoption Among Small Business Owners in Rural Markets

Ejielo Ogbuefi, Azubike Collins Mgbame, Oyinomomo-emi Emmanuel Akpe, Abraham Ayodeji Abayomi and Oluwatobi Opeyemi Adeyelu

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023, vol. 9, issue 4, 537-563

Abstract: Small businesses in rural markets often face significant challenges in adopting Business Intelligence (BI) tools, primarily due to limited data literacy, scarce technological infrastructure, and inadequate support systems. While BI technologies have proven effective in enhancing decision-making and operational efficiency in large organizations, their adoption among small business owners—particularly in rural areas—remains disproportionately low. This paper examines the critical relationship between data literacy and the adoption of BI tools in rural small business ecosystems. It proposes a data-centric empowerment model aimed at bridging the capability gap and fostering inclusive digital participation. The study identifies three core barriers: low baseline data literacy, limited awareness of BI tool benefits, and contextual misalignment between existing tools and the realities of rural enterprises. Through a review of current literature and analysis of case studies from rural markets in developing and developed economies, this research highlights how foundational data literacy training and simplified BI interfaces can drastically improve adoption rates. The paper introduces a three-tier framework focused on (1) foundational digital and data skills training, (2) context-appropriate BI tool customization, and (3) community-based peer learning networks to sustain long-term engagement and application. Findings indicate that improving data literacy not only enhances tool adoption but also strengthens local business resilience, financial performance, and decision-making accuracy. Furthermore, the study explores how local governments, non-profits, and technology providers can collaboratively develop and deploy targeted programs to improve rural data capabilities. By linking digital competence with BI adoption outcomes, the research underscores the importance of inclusive digital literacy strategies in narrowing the urban-rural divide. This study offers actionable insights for stakeholders designing interventions to support rural entrepreneurship in the digital economy.

Keywords: Data Literacy; Business Intelligence Adoption; Rural Markets; Small Businesses; Digital Inclusion; Peer Learning Networks; Context-Aware BI Tools; Rural Entrepreneurship; Digital Competence; Economic Empowerment. (search for similar items in EconPapers)
Date: 2023
Note: Article URL: https://ijsrcseit.com/CSEIT23564515
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