Online shopping consumer perception analysis and future network security service technology using logistic regression model.

ABSTRACT: In order to understand consumer perception, reduce risks in online shopping, and maintain online security, this study employs data envelopment analysis (DEA) to confirm the relationship between evaluation and stimuli. It establishes a model of stimuli-organism response and uses regression analysis to explore the relationships among negative online shopping evaluations, consumer perception of risk, and consumer behavior. This study employs attribution theory to analyze the impact of evaluations on consumer behavior and assesses the role of perceived risk as a mediator. The independent variable is negative comments, the dependent variable is consumer behavior, and logistic regression is used to empirically analyze the factors influencing online shopping security. The results indicate a posit

SUBMITTER: Lu F 

PROVIDER: S-EPMC10803011 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature