The aim of this research is to analyze the effects of e-Marketing, e-CRM and e-Marketing on e-Loyalty and company performance. The study is quantitative with a questionnaire approach. Data processing tools use the SmartPLS 3.3.3 software. The primary data collection method was by distributing online questionnaires through online surveys to 286 managers of non-e-commerce companies during covid pandemic and digital era. The regression test results show the e-Marketing has a significant effect on Company Performance, e-CRM has significant effect on Company Performance, e-Marketing has no significant effect on e-Loyalty, e-CRM has no significant effect on e-Loyalty), e-Loyalty has no significant effect on Company Performance, e-CRM has no significant effect on business sustainability through e-Loyalty. Finally, e-Marketing has no significant effect on Company Performance through e-Loyalty. That means e-marketing and e-CRM have a relationship and influence on e-loyalty both individually and simultaneously.

This study aims to determine the effect of social media marketing activities on brand trust, brand equity and brand loyalty in social media. The study uses the Structural Equation Modeling (SEM) method with SPSS 3.3.3 software with a sample of 450 respondents determined by the simple random sampling method who had experience of using social media for at least six months. Data was obtained by distributing online questionnaires using google form. The results show that social media marketing has a positive effect on brand trust, social media marketing has a positive influence on brand equity, and social media marketing has a positive influence on brand loyalty. Brand trust has a positive influence on SMEs Performance, Brand equity has a positive influence on SMEs Performance and finally brand loyalty has a positive influence on SMEs Performance.

The purpose of this research is to analyze the influence of social media marketing on small market purchase decisions and to analyze the influence of the store environment on small market purchase decisions. The study also analyzes the influence of sales promotion on small market purchase decisions as well as the effect of perceived value on small market purchase decisions. The study uses a quantitative method and data collection is performed by distributing questionnaires to 170 respondents who have bought goods in the small market. The research method in this study uses structural equation modeling (SEM) analysis using SmartPLS software. The results of this study reveal that all independent variables have some positive effects on consumer buying decisions. More specifically, the variables of small market environmental conditions, sales promotions, and profit values have significant influences on consumer buying decisions, while social media marketing variables has no significant effect on consumers' buying decisions.