Title: INDUCING FACTORS IMPACT ON CUSTOMER SATISFACTION IN THE REALM OF ONLINE SHOPPING
Author: N. Pushpalatha* and Dr. P. Kanagaraju
Abstract:

The empirical study explores encapsulates the eigenvalues, eigenvectors, factors, social and product opinion information using software technology. It influences on consumers intention to make purchase decisions via social shopping. The consumer’s behavior in shopping platform depends on various features influencing online shopping. Features: socioeconomic status, product characteristics and product marketing strategies. Technical proficiency helps in evaluation of product features in online reviews affecting the credibility and trust impacting online shopping behavior. Information technology-based Google Forms streamlines questionnaire surveys to gather insights from students and employees on online shopping habits. ORIGINPRO2024 software is implemented for the analysis of Principal Component Analysis, Partial Least Squares and Analysis of Variance. Proposed hypotheses are accepted on the merit of results. We resolve that the students and employees with technical proficiency customers satisfaction is the most powerful and essential component in online shopping.

Keywords: Online shopping; Consumer satisfaction; Principal component analysis; Eigenvalue; Eigenvector; Analysis of Variance; Partial least square.
DOI: https://doi.org/10.38193/IJRCMS.2025.7403
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Date of Publication: 11-07-2025
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Published Vol & Issue: Volume 7 Issue 4 July-Aug 2025