Decoding the Influence of Consumer Reviews on E-Commerce Purchase Decisions: Insights into Online Shopping Behaviour

The rise in e-commerce activity has changed consumer purchasing habits, and consumer reviews form a critical part of decision-making. This study, "Decoding the Influence of Consumer Reviews on E-Commerce Purchase Decisions: Insights into Online Shopping Behaviour," considers the dynamic interaction between review features, psychological drivers, and demographic factors in determining consumer trust and decision-making behaviour. Data analysis from 104 survey participants reveals that review features such as star ratings, trusted purchase signals, and visual opinions significantly enhance credibility and have a strong influence on consumers to make informed purchasing decisions. Findings indicate that younger generations, such as Millennials and Generation Z, are more reliant on reviews, with trust signals such as "most helpful" badges and higher volumes of reviews acting as social proof enhancers. Conversely, consumer confidence crumbles in cases of suspected review manipulation or AI-generated reviews, demonstrating the fragile balance that platforms must maintain to ensure credibility is not compromised. This work fills essential gaps in the literature by examining shifting consumer expectations and the implications of new review functionality. The study concludes by outlining actionable recommendations for e-commerce platforms to streamline review systems, enhance authenticity, and develop long-term consumer loyalty in the high-stakes digital market. Keywords: E-Commerce, Consumer Reviews, Online Shopping Behaviour, Social Proof, Trust, AI-Generated Reviews, Consumer Decision-Making

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-02
DOI
https://doi.org/10.55041/ijsrem43457
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
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0.00
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article

Decoding the Influence of Consumer Reviews on E-Commerce Purchase Decisions: Insights into Online Shopping Behaviour

Sambhurish Prasad Pattnaik
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Impact of AI and Big Data on Business and Society
article

Decoding the Influence of Consumer Reviews on E-Commerce Purchase Decisions: Insights into Online Shopping Behaviour

Sambhurish Prasad Pattnaik
article en

Abstract

The rise in e-commerce activity has changed consumer purchasing habits, and consumer reviews form a critical part of decision-making. This study, "Decoding the Influence of Consumer Reviews on E-Commerce Purchase Decisions: Insights into Online Shopping Behaviour," considers the dynamic interaction between review features, psychological drivers, and demographic factors in determining consumer trust and decision-making behaviour. Data analysis from 104 survey participants reveals that review features such as star ratings, trusted purchase signals, and visual opinions significantly enhance credibility and have a strong influence on consumers to make informed purchasing decisions. Findings indicate that younger generations, such as Millennials and Generation Z, are more reliant on reviews, with trust signals such as "most helpful" badges and higher volumes of reviews acting as social proof enhancers. Conversely, consumer confidence crumbles in cases of suspected review manipulation or AI-generated reviews, demonstrating the fragile balance that platforms must maintain to ensure credibility is not compromised. This work fills essential gaps in the literature by examining shifting consumer expectations and the implications of new review functionality. The study concludes by outlining actionable recommendations for e-commerce platforms to streamline review systems, enhance authenticity, and develop long-term consumer loyalty in the high-stakes digital market. Keywords: E-Commerce, Consumer Reviews, Online Shopping Behaviour, Social Proof, Trust, AI-Generated Reviews, Consumer Decision-Making

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
Openalex Percentile: Top 93%
Impact of AI and Big Data on Business and Society
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