Intelligent e-commerce Framework for Consumer Behavior Analysis Using Big Data Analytics

Internet shopping gradually surpassed conventional retail shopping; it has been taken up internationally by many customers. However, e-commerce in emerging markets remains at an early stage, and thus, the factors that lead to its acceptance must be discovered. The main objective is to combine the expected theory of behavior, rational activity, and the technology model’s acceptability using big data analysis (BDA) to evaluate the main predictors of internet buying plans. The growth in online shopping raises rivalry in the area of e-commerce between various organizations. The existing enterprise planning methods became obsolete with the advent of technology. Enterprises must adapt market intelligence through big data analysis to improve the business process in e-commerce. In the e-commerce market world, the influence of BDA plays a crucial part. The proposed model addresses different methodologies and methods for data analysis e-commerce. Users are proposing several new ways of enhancing market intelligence using BDA in the e-commerce sector. The findings show the relevance of the reasonable action theory and technology acceptance model, for explaining online shopping intentions, co