The aim of this research is to analyze the relationship between financial literacy and financial performance, the relationship between financial literacy and the sustainability of SMEs, the relationship between supply chain management and financial performance, the relationship between supply chain management and the sustainability of SMEs, and financial performance with the sustainability of SMEs. This research method is a quantitative survey, the research data was obtained by distributing online questionnaires to 740 SMEs owners in Indonesia. Data analysis used structural equation modeling (SEM) with SmartPLS 3.0 software tools. The stages of data analysis are validity, reliability and significance tests. The sampling technique used is non-probability sampling. The questionnaire used in this study uses the Google form, distributed to respondents. The measurement method for this questionnaire uses a Likert scale of 5, namely Strongly Disagree (STS), (2) Answers Disagree (TS), (3) Neutral Answers (N), (4) Answers Agree (S), Strongly Agree (SS). The independent variables used in this study are as follows: Financial literacy, supply chain management, the dependent variables used in this study are sustainability and financial performance. The results of this research indicate that financial literacy had a positive and significant effect on financial performance, financial literacy had a positive and significant effect on sustainability, supply chain management had a positive and significant effect on financial performance, supply chain management had a positive and significant effect on sustainability, financial performance had a positive and significant effect on sustainability. The novelty of this research is that it found a correlation model of the relationship between the variables of financial literacy, supply chain management, financial performance and sustainability in SMEs which did not exist in previous research studies.

The purpose of this study is to analyze the relationships between supply chain leadership and reverse supply chain performance, government policy and reverse supply chain performance, and finally, government policy and supply chain leadership. The research methodology is analytical, namely survey research that aims to collect, compile, analyze, interpret, and finally draw conclusions. The approach used is quantitative, which includes the development of an empirical model and its measurement based on theoretical studies. Research respondents are managers who are responsible to manage the reverse supply chain operations such as supply chain, warehouse, transportation/distribution, production, planning and control of production and inventory planning and control, procurement, and marketing in manufacturing companies. The research data was obtained by distributing online questionnaires to 560 supply chain managers of manufacturing companies who were determined using the simple random sampling method and the questionnaires were designed using a Likert scale. Data analysis used structural equation modeling (SEM) with SmartPLS 3.0 software tools. The stages of data analysis are validity test, reliability test and hypothesis testing. The results indicate that supply chain leadership had a significant effect on reverse supply chain performance, government policy had a significant effect on reverse supply chain performance and, finally, government policy had a significant effect on supply chain leadership.