Artificial Intelligence-Aided Strategic Information System Tools for Competitive Position in the Market: A Systematic Review

Abstract

This systematic review examines the role of Artificial Intelligence (AI)-aided Strategic Information System (SIS) tools in enhancing organizational performance and competitive position in modern business environments. Organizations increasingly adopt AI-enabled technologies such as Business Intelligence (BI), Decision Support Systems (DSS), Customer Relationship Management (CRM) systems, predictive analytics, machine learning, and Generative AI to improve strategic decision-making, operational efficiency, innovation capability, and market responsiveness. However, existing studies are largely fragmented across industries, organizational contexts, and individual AI applications, with limited systematic evidence synthesizing how AI-aided Strategic Information System tools collectively influence organizational performance and sustainable competitive advantage. This knowledge gap limits a comprehensive understanding of their strategic value in modern business environments. Following PRISMA guidelines, a systematic search was conducted across Scopus, ScienceDirect, and Google Scholar for studies published between 2017 and 2026. After rigorous screening and eligibility assessment, 22 studies were included in the final synthesis. The extracted data were analyzed thematically to identify patterns, opportunities, and challenges associated with AI-enabled Strategic Information Systems. The findings indicate that AI-aided SIS tools significantly enhance organizational competitiveness by enabling data-driven decision-making, improving customer intelligence, optimizing supply chain performance, and strengthening strategic agility. AI-powered CRM and predictive analytics systems were found to improve marketing effectiveness and customer engagement, while BI and DSS tools enhance managerial decision speed and accuracy. Additionally, Generative AI and large language models are emerging as transformative tools for market intelligence and strategic insight generation. Despite these benefits, challenges such as data privacy concerns, algorithmic bias, ethical risks, workforce skill gaps, organizational resistance, and high implementation costs persist. The review concludes that successful AI adoption depends on organizational readiness, leadership commitment, technological infrastructure, and governance frameworks. Overall, AI-enabled Strategic Information Systems are reshaping competitive dynamics by enabling adaptive, intelligent, and sustainable organizational decision-making.