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

Emmanuel Okewu,Jonathan Okewu,Robertas Damaševičius,Sanjay Misra,Rytis Maskeliūnas

doi:10.3390/admsci9030055

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.

Highlights

IntroductionThey often form the bottom of the socioeconomic pyramid and require deliberate socioeconomic intervention to harness their potential and move them into mainstream socioeconomic and political spheres (Mohanty et al 2014)
In any society, poor, vulnerable, and disabled people exist
We developed the Social Safety Net Expert System (SSNES), which uses a learning algorithm to understand patterns in poverty-related data to generate unbiased information that serves as the input in decision-making for the implementation of social investment program (SIP)

Summary

Introduction

They often form the bottom of the socioeconomic pyramid and require deliberate socioeconomic intervention to harness their potential and move them into mainstream socioeconomic and political spheres (Mohanty et al 2014). A large number of people are restricted or excluded from the socioeconomic development process due to ethnicity, gender, sexual orientation, age, poverty, or disability (Hernández and Pérez 2016). Of people, while a paltry 1% is owned by the poorest 50% (United Nations 2017). The effects of such exclusion are staggering, deepening inequality across the globe

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Conclusion