Abstract:
This research investigates the effect of Amazon’s shopping environment on consumer purchasing behavior through the utilization of the Analytical Hierarchy Process (AHP), and regression analysis. The review plans to methodically assess and focus on the variables affecting consumer inclinations and choices in the web-based shopping climate. The progressive design focuses the fundamental target of understanding the effect for purchasing conduct, key methods, for example, ease of use, item placement, consumer feedback, and consumer choices, alongside significant sub-measures. Pairwise correlations, including primary criteria, and variable correlation are directed to evaluate the overall significance of these components. The gathered information is then used to compute standardized weights, empowering the development of an AHP model and the use of regression analysis by making use of SPSS software, that measures the impact of various variables. The outcomes add to a comprehension of the elements molding consumer decisions on e-commerce shopping platforms. Critical examination is performed to approve the significance of the model, guaranteeing its relevance and unwavering quality in directing choices for improving client encounters in the online shopping area.
