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Bapolisi, W.A., Makelele, J., Ferrari, G., Kono-Tange, L., Bisimwa, G., Schindler, C., et al. (2024) Engaging Men in Women’s Empowerment: Impact of a Complex Gender Transformative Intervention on Household Socio-Economic and Health Outcomes in the Eastern Democratic Republic of the Congo Using a Longitudinal Survey. BMC Public Health, 24, Article No. 443.
https://doi.org/10.1186/s12889-024-17717-5

has been cited by the following article:

• TITLE: Artificial Intelligence Decision Support Systems as Predictors of Managerial Decision Quality among Small Retail Business Owners in the Case of Greater Accra, Ghana

  AUTHORS: Sarah Ayikai Okine

  KEYWORDS: AI Decision Support Systems, Decision Automation, Managerial Decision Quality, Predictive Analytics, Real-Time Information Support, Small Retail Businesses

  JOURNAL NAME: International Journal of Intelligence Science, Vol.16 No.4, September 16, 2026

  ABSTRACT: Quality decisions made at work have become pivotal for business transformation and prosperity in the modern era. Grounded in this notion, this study investigated an artificial intelligence (AI) decision support system as a determinant of quality managerial decision-making using retail business owners in Accra and Tema Metropolis in Greater Accra, Ghana. The study specifically investigated how decision automation affects decision timeliness, assessed how the utilization of predictive analytics influences decision accuracy, and evaluated the degree of the relationship between real-time information support and decision effectiveness. The study adopted a quantitative research model in which small-scale business owners served as the unit of analysis. Findings indicated that decision automation positively affected decision timeliness with “r2 = 0.815, p