Augustine Ebuka Arachie
Nnamdi Azikiwe University, Awka, Anambra State, Nigeria

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Mobile Payment Systems for Small and Medium Enterprises in Rural Areas: A Business Performance Context Peace Nkiru Nwakoby; Victoria Kenechukwu Anagwu; Blessing Obiageli Essell; Augustine Ebuka Arachie
Annals of Management and Organization Research Vol. 8 No. 1 (2026): August
Publisher : goodwood publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/amor.v8.n1.p107-124.2026

Abstract

Purpose: This study examined the relationship between mobile payment systems and the business performance of Small and Medium-Sized Enterprises (SMEs) in Anambra State, Nigeria. Specifically, this study investigated how mobile wallets and Unstructured Supplementary Service Data (USSD) platforms influence market expansion. Methodology: This study adopted a survey research design. Data were collected from 157 unregistered SMEs operating in rural Anambra State using a pre-validated questionnaire. The analyses were conducted using the correlation method, and the hypotheses were tested at the 5% significance level. Results: The findings showed a positive and statistically significant relationship between mobile wallet adoption and market expansion, with a correlation coefficient of 0.295 (p < 0.01). The results also indicate a stronger positive relationship between USSD usage and market expansion, with a correlation coefficient of 0.511 (p < 0.01). Conclusions: The study concluded that mobile payment systems are not merely transactional tools but strategic enablers of business growth and financial inclusion. Limitations: The study was limited to unregistered SMEs operating in rural communities of Anambra State, which may have restricted the generalization of the findings to registered SMEs or businesses in urban areas. In addition, the reliance on self-reported questionnaire responses may make the findings from the study subject to respondents’ bias and perception errors. Contributions: This study provides empirical evidence on how mobile payment systems enhance market expansion among SMEs in rural communities in Anambra State, Nigeria. 
Does Artificial Intelligence Democratisation Enhance Small Business Operations in Emerging Economies? Westcott Shulammite Chinwendu; Augustine Ebuka Arachie; Onyinye Ifeoma Okeke; Fredrick Chukwudi Chiedozie
Annals of Management and Organization Research Vol. 8 No. 1 (2026): August
Publisher : goodwood publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/amor.v8.n1.p125-142.2026

Abstract

Purpose: This study examines the concept of Artificial Intelligence (AI) democratization and its relevance to Small and Medium-Sized Enterprises (SMEs), particularly in emerging economies.Methodology: This study adopted a conceptual and exploratory approach and synthesized the extant literature on AI adoption, digital transformation, and small business performance.Results: The study findings revealed that democratizing AI enhances SMEs’ operational efficiency, strategic decision-making, customer relationship management, and innovation capabilities by lowering barriers to entry through cloud-based and low-code solutions. Furthermore, the findings show that technology giants, governments, academic institutions, and internal organizational actors play critical roles in facilitating AI accessibility and adoption in the healthcare sector. Additionally, platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) are instrumental in providing scalable and affordable AI solutions for small enterprises.Conclusions: The study concluded that AI democratization is a crucial pathway for enabling SMEs to compete effectively in the digital economy and achieve sustainable growth.Limitations: This study is limited by its conceptual and exploratory nature, as it relies exclusively on the existing literature rather than primary empirical evidence.Contributions: This study contributes to the growing body of knowledge on AI by extending the discourse on AI democratization to the context of SMEs. This study further identifies the critical stakeholders and cloud-based platforms that facilitate AI accessibility for SMEs, thereby offering a structured reference for researchers, policymakers, and business practitioners seeking to promote inclusive AI adoption, particularly in emerging economies.