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@article{196735,
        author = {Dr. KOMALATHA B C},
        title = {Impact Of Artificial Intelligence On Strategic Decision-Making In Indian MSMEs},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {4780-4785},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196735},
        abstract = {Artificial Intelligence (AI) has emerged as a strategic enabler of organisational transformation, yet empirical evidence on its impact within Micro, Small and Medium Enterprises (MSMEs) in emerging economies remains limited.  This study examines the impact of AI adoption on strategic decision-making and business performance in Indian MSMEs, with particular attention to the evolving policy ecosystem shaped by the Union Budget 2026-27. Adopting a descriptive and analytical approach, the research relies exclusively on secondary data drawn from government reports, policy documents, international databases, industry publications, and peer-reviewed academic literature. The analysis integrates perspectives from the resource-based view and dynamic capabilities theory to assess how AI-enabled tools influence strategic planning, innovation capability, productivity, and growth outcomes. Findings indicate that AI adoption enhances decision quality by improving information availability, forecasting accuracy, and long-term strategic orientation. MSMEs leveraging AI-driven digital tools demonstrate improved operational efficiency, innovation, responsiveness and competitive positioning.  Furthermore, recent fiscal measures-including the Rs.10,000 crore SME Growth Fund, expanded risk capital support, digital infrastructure investments, and AI ecosystem development initiatives-create an enabling environment that lowers financial and technological barriers to AI adoption.  However, the strategic benefits of AI depend not only on policy support but also on managerial readiness, digital skills, and organisational capability.  The study contributes to the limited body of secondary-data-based research on AI in MSMEs and offers policy-relevant insights for fostering AI-driven strategic transformation in emerging markets.},
        keywords = {Artificial Intelligence, Digital Transformation, MSMEs, Policy Ecosystem, Strategic Decision-Making, Union Budget 2026-27.},
        month = {April},
        }