E-Commerce Business Models: Success Factors and Market Trends

Abstract

The goal of this research is to provide a thorough analytical framework for evaluating the long-lasting nature of e-commerce business models by integrating essential indicators of success into the same vector. The suggested vector method enables the identification and use of the best instruments for the growth of ecologically sound e-commerce, as well as the prediction and assessment of the consequences of different measures. Regression, group, and correlation-based analysis form the foundation of the methodology. This study's analytical strategy, which enables a comparative comparison of businesses operating in a competitive context to identify their goals for long-term success, is its scientific value. According to the association research, the efficiency of business models in e-commerce is significantly influenced by environmental and financial variables. Regression techniques for every group are more exact when businesses are grouped according to comparable indicators of success. The research also establishes the connection between the long-term viability vector and the financial, social, and environmental outcomes of e-commerce businesses. According to the findings, a firm may reach the corporate sustainability standard by raising its sustainable vector.