Paper Title
AI-Driven Decision-Making and Startup Performance: Empirical Evidence from IT Startups in Kerala
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Registration ID: IJNRD_326321
Published ID: IJNRD2606292
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Keywords
AI-Driven Decision-Making and Startup Performance
Abstract
The rapid diffusion of Artificial Intelligence (AI) has significantly transformed entrepreneurial decision-making, particularly within technology-driven startup ecosystems. In recent years, IT startups have increasingly adopted AI-based tools to enhance data-driven decision-making, optimize resource allocation, and improve overall business performance. This study empirically examines the impact of AI-driven decision-making on the performance of IT startups in Kerala, a region that has emerged as a vibrant technology and innovation hub in India. Using a mixed-method empirical approach, the study draws on primary data collected from founders, key decision-makers, and AI practitioners associated with IT startups operating in Kerala. Quantitative analysis is employed to examine the relationship between AI adoption and startup performance indicators such as operational efficiency, revenue growth, decision-making speed, innovation capability, and competitive advantage. Qualitative insights from interviews supplement the findings by capturing entrepreneurial perceptions, challenges, and contextual factors influencing AI integration. The findings reveal that startups leveraging AI-driven decision-making exhibit significantly higher levels of performance compared to those relying primarily on traditional, intuition-based approaches. AI adoption is found to enhance decision accuracy, reduce uncertainty, and support strategic as well as operational decisions. However, the study also identifies key constraints, including high implementation costs, limited technical expertise, and data-related challenges, which moderate the effectiveness of AI usage in startups. By providing region-specific empirical evidence, this study contributes to the growing literature on AI and entrepreneurship. It offers practical implications for startup founders, investors, and policymakers by highlighting best practices for effective AI adoption and underscoring the need for supportive ecosystems to maximize the performance benefits of AI-driven entrepreneurial decision-making. Keywords—Artificial Intelligence; Entrepreneurial Decision-Making; Startup Performance; IT Startups; Data-Driven Decisions; Kerala Startup Ecosystem
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How To Cite (APA)
Abhijith Anakavil & Prof. (Dr.) Sukhdev Singh (June-2026). AI-Driven Decision-Making and Startup Performance: Empirical Evidence from IT Startups in Kerala. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 11(6), c899-c903. https://ijnrd.org/papers/IJNRD2606292.pdf
Issue
Volume 11 Issue 6, June-2026
Pages : c899-c903
Other Publication Details
Paper Reg. ID: IJNRD_326321
Published Paper Id: IJNRD2606292
Research Area: Management All
Author Type: Indian Author
Country: Thiruvananthapuram, Kerala, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2606292.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2606292
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