An Intelligent Framework Linking Wages, Productivity, and Profitability: Comparative Evidence from Egypt

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Authors: Amin ElSayed Ahmed Lotfy
Cited by: 1
References: 8

Abstract

Purpose and Design: This research aims to develop an intelligent framework that integrates wage design, productivity performance, and profitability outcomes in state-owned enterprises (SOEs). It responds to Egypt’s strategic need to curb cost inflation, enhance labor efficiency, and safeguard profit margins through evidence-based wage-productivity alignment. The study adopts a comparative applied design across a sample of Egyptian SOEs with available financial and operational data between 2020 and 2024, benchmarked against selected international practices. Methodology and Approach: A mixed quantitative-analytical approach is employed, combining ratio analysis, data envelopment analysis (DEA), and system-based intelligent modeling to assess the interaction between wages, productivity, and profitability. The proposed intelligent framework explicitly integrates traditional econometric techniques (panel regression and structural equation modeling) with machine-learning-based simulation and optimization tools, enabling both causal inference and predictive policy analysis. Statistical tests (panel regression and causal SEM) validate the strength and direction of these relationships across industries and years. Findings: Results reveal that productivity-linked wages significantly reduce unit labor costs and improve operating margins. Firms that introduced performance-indexed pay maintained profit stability despite cost inflation pressures. The intelligent model demonstrates predictive accuracy exceeding 85%, confirming the viability of adaptive pay-performance policies. Originality and Value: The paper pioneers a smart quantitative link between pay policy and financial outcomes in Egyptian SOEs—a domain largely unexplored in emerging economies. It offers a replicable framework for public-sector efficiency reform and cost-control governance. Theoretical, Practical, and Social Implications: Theoretically, it extends the wage-efficiency frontier. Practically, it supports managerial decision-making. Economically, it enhances profit sustainability. Socially, it promotes fairness and motivation in public employment.

Fields of Study & Subjects

Efficiency Analysis Using DEA Labor market dynamics and wage inequality Impact of AI and Big Data on Business and Society

Publication details

Journal / source
Open Journal of Accounting
Publisher
Scientific Research Publishing, Inc.
Volume
15
Issue
01
Pages
84–126
Publication date
1 January 2026