Transparent Peer Review By Scholar9
Decoding Consumer Intentions: The Role of Trust and Consciousness in AI-Driven Marketing Using TAM
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.
Murali Mohana Krishna Dandu Reviewer
16 Sep 2024 03:08 PM
Approved
Relevance and Originality
This report addresses the growing importance of AI in consumer decision-making, focusing on how companies can effectively communicate AI-enabled products using the Technology Acceptance Model (TAM). As AI becomes a major factor in brand engagement, understanding how trust, perceived usefulness, and awareness influence consumer behavior is highly relevant. The originality lies in applying TAM to AI-driven products and offering insights on enhancing communication strategies to boost consumer trust and engagement, which is a timely and valuable contribution to the field.
Methodology
The study utilizes survey data and the Technology Acceptance Model (TAM) to explore how trust in AI and consumer awareness impact attitudes toward AI products. This methodological approach is sound for assessing the influence of TAM constructs on consumer behavior. However, the abstract does not provide specific details on the survey design or how TAM constructs were operationalized, which would be beneficial for understanding the robustness of the methodology.
Validity & Reliability
The study appears to ensure validity and reliability by using TAM constructs and survey data to analyze consumer attitudes towards AI products. However, the abstract lacks details on how validity was assessed and how potential biases in the survey data were controlled. More information on the reliability of the survey instrument and the generalizability of the findings would strengthen the assessment of the study’s validity.
Clarity and Structure
The report is generally clear, with a structured approach to examining how AI affects consumer decision-making through TAM. The focus on trust, usefulness, and awareness in relation to AI products is well-defined. However, more detailed explanations of the specific findings and how they translate into actionable recommendations would improve clarity and provide a more comprehensive understanding of the results.
Result Analysis
The analysis highlights the importance of transparent communication and emphasizing functional benefits in AI-driven products. While the findings point to the significance of these factors in influencing consumer purchase decisions, the abstract does not include specific data or examples to illustrate these insights. A more detailed analysis of the results, including quantitative findings and their implications, would offer a clearer view of how AI communication strategies impact consumer behavior.
4o mini
IJ Publication Publisher
Ok Sir
IJ Publication Publisher
Ok Sir
Murali Mohana Krishna Dandu Reviewer