BEHAVIOR AND TRUST IN ONLINE REVIEWS: ANALYZING PATTERNS AND INFLUENCES

AUTHOR – SUVOJIT DHAR, STUDENT AT GLOBAL INSTITUTE OF BUSINESS STUDIES

BEST CITATION – SUVOJIT DHAR, BEHAVIOR AND TRUST IN ONLINE REVIEWS: ANALYZING PATTERNS AND INFLUENCES, ILE MULTIDISCIPLINARY JOURNAL, 4 (1) OF 2025, PG. 433-442, APIS – 3920-0007 | ISSN – 2583-7230

ABSTRACT

This research paper delves into the intricate dynamics of consumer behavior toward online reviews. Employing a mixed-methods approach, it examines trust factors, review-checking habits, and the influential components that guide consumer decisions. Key methodologies include statistical analysis and predictive modeling, which are complemented by visual aids like graphs and charts for clarity. Findings reveal significant trends in the frequency of review engagement, the pivotal role of verified buyer reviews, and the deterrent effects of negative feedback. Implications for marketers include leveraging authenticity, encouraging detailed reviews with visuals, and adopting AI-driven sentiment analysis to refine strategies. This comprehensive study not only provides actionable insights for businesses but also lays the groundwork for future research on the evolving impact of online reviews in consumer decision-making. paper investigates consumer behavior toward online reviews, focusing on trust, influential factors, and the likelihood of avoiding products or services due to negative reviews. By analyzing original and predicted responses, we identify significant trends in review-checking frequency, trust in review types, and key influencing aspects. The study employs mixed methods, including statistical and qualitative analysis, to derive actionable insights for businesses. Graphical representations such as charts and tables complement the findings. The paper concludes with implications for marketers, limitations, and directions for future research.

Keywords – Online reviews, consumer behavior, trust in reviews, product avoidance, star ratings, review influence