Paper Title

Decoding Consumer Intentions: The Role of Trust and Consciousness in AI-Driven Marketing Using TAM

Article Identifiers

Registration ID: IJNRD_300406

Published ID: IJNRD2409162

DOI: Click Here to Get

Authors

Pranjay Bajaj , Abhishek Pathak

Keywords

AI, TAM, Consumer Behaviour, Marketing, Trust, Consciousness, Purchase Intention

Abstract

This report examines the influence of artificial intelligence (AI) on consumer decision-making through the Technology Acceptance Model (TAM), focusing on how companies can better communicate their AI-enabled digital products. As AI becomes a key driver of brand engagement, understanding consumer perceptions of trust, perceived usefulness, and awareness is critical for influencing purchase intentions and behavior. Using survey data and TAM constructs, this study identifies how trust in AI-generated content and consumer consciousness of AI technologies directly affect attitudes toward AI products, ultimately shaping purchase decisions. Key insights include the importance of clear, transparent communication and emphasizing the functional benefits of AI-driven products. The findings offer actionable recommendations for companies to strategically communicate AI technologies in ways that enhance consumer trust and drive engagement. These recommendations are designed to aid businesses in aligning their digital product messaging with consumer expectations, thereby influencing decision-making and fostering adoption. Limitations and future research directions are discussed to expand the practical applications of AI in digital marketing.

How To Cite

"Decoding Consumer Intentions: The Role of Trust and Consciousness in AI-Driven Marketing Using TAM", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 9, page no.b532-b545, September-2024, Available :https://ijnrd.org/papers/IJNRD2409162.pdf

Issue

Volume 9 Issue 9, September-2024

Pages : b532-b545

Other Publication Details

Paper Reg. ID: IJNRD_300406

Published Paper Id: IJNRD2409162

Downloads: 000121160

Research Area: Management All

Country: Gurgaon, Haryana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2409162.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2409162

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area