Year: 2025
Type: article
Study design: Observational Study
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.
Authors: N. Pushpalatha, Dr. P. Kanagaraju
Institutions: Bharathidasan University, Bishop Heber College
Language: English
Subfield: Marketing
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4413201599