Artificial Intelligence as a Strategic Enabler of Sustainable Business Performance: A Mediation Analysis of Managerial Decision-Making Quality

Authors

  • Dr Shahid Mehmood Assistant professor, Karachi institute of Ecnomics and Technology
  • Dr Muhammad Umar Assistant Professor, Karachi Institute of Ecnomics and Technology
  • Dr Eram Jamil Assistant Prof Thal University Bhakkar
  • Tariq Saeed College of Computing and Information Science, Karachi Institute of Economics and Technology, Karachi, Pakistan

Abstract

Purpose

This study aims to examine the impact of Artificial Intelligence (AI) on Sustainable Business Performance (SBP) in public sector organizations in Pakistan, with a particular focus on the mediating role of Managerial Decision-Making Quality (MDMQ). The main purpose is to understand how AI improves organizational outcomes through enhanced managerial decision-making processes.

Aim.The aim of this research is to develop and test a conceptual model that explains the direct and indirect effects of Artificial Intelligence on Sustainable Business Performance in the public sector context of Pakistan. Methodology.A quantitative research design was employed using a cross-sectional survey approach. Data were collected from employees working in public sector organizations in Pakistan through a structured questionnaire using a purposive sampling technique. The theoretical framework is adapted from prior research that examined Artificial Intelligence, Social Innovation, and Smart Decision-Making using 430 respondents from Pakistan across public sector organizations. The collected data were analyzed using SPSS and SmartPLS-SEM to test structural relationships and mediation effects. Findings.The results indicate that Artificial Intelligence has a positive effect on Managerial Decision-Making Quality, which in turn enhances Sustainable Business Performance. Furthermore, Managerial Decision-Making Quality acts as a significant mediator between Artificial Intelligence and performance outcomes. Originality/Value.This study contributes to the existing literature by extending an AI-based decision-making framework into the public sector context of Pakistan, providing empirical evidence on how AI-driven managerial decision quality enhances sustainable performance in developing economies. Keywords: Artificial Intelligence; Sustainable Business Performance; Managerial Decision-Making Quality; Public Sector; SPSS; SmartPLS-SEM; Mediation Analysis; Pakistan

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Published

2026-06-21

How to Cite

Dr Shahid Mehmood, Dr Muhammad Umar, Dr Eram Jamil, & Tariq Saeed. (2026). Artificial Intelligence as a Strategic Enabler of Sustainable Business Performance: A Mediation Analysis of Managerial Decision-Making Quality. `, 5(2), 2194–2206. Retrieved from https://assajournal.com/index.php/36/article/view/1882