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An Intelligent Advisory System to Support Managerial Decisions for A Social Safety Net

Author

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  • Emmanuel Okewu

    (Centre for Information Technology and Systems, University of Lagos, Lagos 100213, Nigeria)

  • Sanjay Misra

    (Department of Electrical and Information Engineering, Covenant University, Ota 112233, Nigeria
    Department of Computer Engineering, Atilim University, 06830 Ankara, Turkey)

  • Jonathan Okewu

    (Department of Creative and Visual Art, Federal University, Lafia P.M.B. 146, Nigeria)

  • Robertas Damaševičius

    (Faculty of Informatics, Kaunas University of Technology, 51368 Kaunas, Lithuania)

  • Rytis Maskeliūnas

    (Faculty of Informatics, Kaunas University of Technology, 51368 Kaunas, Lithuania)

Abstract

Social investment programs are designed to provide opportunities to the less privileged so that they can contribute to the socioeconomic development of society. Stakeholders in social safety net programs (SSNPs) target vulnerable groups, such as the urban poor, women, the unemployed, and the elderly, with initiatives that have a transformative impact. Inadequate policy awareness remains a challenge, resulting in low participation rates in SSNPs. To achieve all-inclusive development, deliberate policies and programs that target this population have to be initiated by government, corporate bodies, and public-minded individuals. Artificial intelligence (AI) techniques could play an important role in improving the managerial decision support and policy-making process of SSNPs and increasing the social resilience of urban populations. To enhance managerial decision-making in social investment programs, we used a Bayesian network to develop an intelligent decision support system called the Social Safety Net Expert System (SSNES). Using the SSNES, we provide an advisory system to stakeholders who make management decisions, which clearly demonstrates the efficacy of SSNPs and inclusive development.

Suggested Citation

  • Emmanuel Okewu & Sanjay Misra & Jonathan Okewu & Robertas Damaševičius & Rytis Maskeliūnas, 2019. "An Intelligent Advisory System to Support Managerial Decisions for A Social Safety Net," Administrative Sciences, MDPI, vol. 9(3), pages 1-14, August.
    • Handle: RePEc:gam:jadmsc:v:9:y:2019:i:3:p:55-:d:255556
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    References listed on IDEAS

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    1. Robertas Damaševičius, 2023. "Regional Economic Development in the AI Era: Methods, Opportunities, and Challenges," Journal of Regional Economics, Anser Press, vol. 2(2), pages 1-13, October.
    2. Robertas Damasevicius, 2023. "Progress, Evolving Paradigms and Recent Trends in Economic Analysis," Financial Economics Letters, Anser Press, vol. 2(2), pages 35-47, October.
    3. Yurii Kharazishvili & Aleksy Kwilinski & Olena Grishnova & Henryk Dzwigol, 2020. "Social Safety of Society for Developing Countries to Meet Sustainable Development Standards: Indicators, Level, Strategic Benchmarks (with Calculations Based on the Case Study of Ukraine)," Sustainability, MDPI, vol. 12(21), pages 1-21, October.

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