Paper Title
Consumer Acceptance of the Use of Artificial Intelligence in Online Shopping: Evidence from India
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Registration ID: IJNRD_310077
Published ID: IJNRD2510254
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Keywords
Keywords: Artificial Intelligence, Online Shopping, Technology Acceptance Model (TAM), Consumer Trust, Perceived Usefulness, Secondary Research, Literature Synthesis, India.
Abstract
Artificial Intelligence (AI) is transforming e-commerce worldwide into an effortless and personalized experience of buying. It relies on being accepted by the consumers. The secondary research study employs a systematic literature review approach where in a bid to synthesize the evidence from the theory perspectives as well as empirical research literature as an attempt to formulate drivers of consumer acceptance of buying online using AI. Aging according to the theoretical frameworks of the Technology Acceptance Model (TAM), the article critically reviews and synthesizes evidence from some of the grass-root research conducted in Hungary (Nagy & Hajdú, 2021) and India (Geetha & Barathi Dasan, 2024) and others. Synthesis acknowledges that Perceived Usefulness (PU) and Trust are the most rudimentary determinants of attitude and behavior intention towards AI-based e-commerce. While the inherent TAM relationships hold true in any environment, the Indian study also demonstrates very strong direct effect of Trust over all of the inherent constructs (PU, PEOU, and Attitude), and it demonstrates greater significance towards establishing trust in emerging economies and multicultural economies such as India. Finally, the paper concludes by indicating areas of research needs and recommendations for future research on AI usage in diversified Indian e commerce.
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How To Cite (APA)
Shah Het Kanaiyalal, Raj Raghuwanshi, & Pritam Paul (October-2025). Consumer Acceptance of the Use of Artificial Intelligence in Online Shopping: Evidence from India. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(10), c497-c500. https://ijnrd.org/papers/IJNRD2510254.pdf
Issue
Volume 10 Issue 10, October-2025
Pages : c497-c500
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Paper Reg. ID: IJNRD_310077
Published Paper Id: IJNRD2510254
Research Area: Other area not in list
Author Type: Indian Author
Country: Bhukum, Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2510254.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2510254
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