International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Volume 8 Issue 5
September-October 2026

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Artificial Intelligence Adoption and Organisational Performance: Examining Supply Chain Resilience in Manufacturing Firms and Strategic Decision-Making in Indian Start-ups

Author(s) Ms. Sree Moukthika Kameswari Mallela, Mr. Sree Venkata Viswanadh Mallela, Mr. Sree Naga Raja Sekhar Mallela, Ms. Venkata Saraswathi Devi Mallela
Country India
Abstract Most firms no longer ask whether to use artificial intelligence (AI); they ask where it pays off first. This paper looks at two places where the answer seems clearest and the mechanisms quite different: supply chain resilience (SCR) in manufacturing, and strategic decision-making (SDM) in Indian startups. Drawing on the resource-based view, dynamic capabilities theory and organizational information processing theory (OIPT), we argue that AI matters less as a piece of automation and more as an added layer of information-processing capacity. In manufacturing that capacity shows up as earlier warning, steadier inventory and faster rerouting when something breaks. In startups it shows up as cheaper experiments, tighter control of cash and clearer signals about when to change course. The paper is conceptual and draws on published empirical work rather than new primary data. We set out a framework, compare the two settings, and offer a phased adoption roadmap with governance guidance. We also flag the claims that still need testing, because the evidence base, particularly for Indian startups, is thinner than the enthusiasm around it.
Keywords artificial intelligence; supply chain resilience; strategic decision-making; Indian startups; dynamic capabilities; information processing
Field Business Administration
Published In Volume 8, Issue 5, September-October 2026
Published On 2026-10-06
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E-ISSN 2582-2160
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CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

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