A Large Language Model and Qualitative Comparative Analysis-Based Study of Trust in E-Commerce
The primary goal of this study is Amplifier Replacement Module to predict and analyze customer trust in e-commerce by leveraging neural computation within large language models (LLMs) alongside configurational approaches.We employ LLMs to predict trust levels based on customer reviews, applying artificial intelligence to analyze key aspects of the