The purpose of this study is to analyze the relationship between digital leadership variables and supply chain performance, supply chain innovation and supply chain performance and the relationship between electronic human resource management (E-HRM) and supply chain performance. The research method used in this study is a quantitative survey method research design. The technique used in selecting samples in this study is simple random sampling. Data collection in this study was done online by distributing questionnaires through the Google Form platform and obtaining direct responses from respondents. The number of respondents studied was 786 small and medium enterprises (SMEs) owners in Indonesia. The study uses path analysis techniques for data and hypothesis testing. Statistical testing on the path analysis model can be done using the partial least square method. The study uses a Likert scale, which is categorized into five categories: (1) strongly disagree, (2) disagree, (3) neutral, (4) agree, and (5) strongly agree. Data analysis in this study used Smart Partial Least Square (SPLS) software version 3.00. Model evaluation in testing with SPLS consists of two stages, namely, evaluation of the outer model and inner model. The evaluation of the outer model consists of factor loading tests, Average Variance Extracted, cross-loading, Cronbach's alpha, and composite reliability, while the evaluation of the inner model consists of the coefficient of determination (R2), cross-validated redundancy (Q2), Goodness of Fit (GoF), and hypothesis testing. The results of this research analysis are that digital leadership has a positive and significant relationship with supply chain performance, supply chain innovation has a positive and significant relationship with supply chain performance and e-HRM has a positive and significant relationship with supply chain performance. Digital Leadership involves leaders who can drive digital transformation and implement innovative strategies to leverage digital technologies. This involves the ability to understand and leverage technologies such as artificial intelligence, etc. In addition, digital leadership also involves sensitivity to change and the ability to drive innovation, collaboration, and technology adoption across SMEs.

The purpose of this study was to analyze the effect of financial literacy on operational performance, financial inclusion on operational performance and the effect of financial literacy on sustainable supply chains and the impact of financial inclusion on sustainable supply chains in SMEs in Indonesia. The research method is quantitative through online surveys with the Google form, data collection by distributing online questionnaires to 590 SMEs owners in Indonesia who were selected by simple random sampling. The online questionnaire was designed using a Likert scale of 5 and distributed via social media. Data analysis used structural equation modeling of partial least squares (SEM-PLS) with data processing tools using SmartPLS 3.0 software. The stages of data analysis are validity-reliability test and hypothesis, or significance test used in this study using a Google form which will be distributed to respondents. This questionnaire measurement method 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 results of this study indicate that financial literacy had a positive and significant effect on operational performance, financial inclusion had a positive and significant effect on operational performance, financial literacy had a positive and significant effect on sustainable supply chains and financial inclusion had a positive and significant effect on sustainable supply chains in SMEs in Indonesia. The novelty of this research is the model relationship between Financial Literacy and Financial Inclusion, Operational Performance, SME Sustainable Supply Chain which has never been explained in previous studies.

Research on e-government and good governance is still rarely carried out, even though e-government and good governance are important factors in government companies. This research aims to analyze the relationship between e-government and financial performance, the relationship between employee competency variables on financial performance, and the relationship that good governance variables have on financial performance. The method of this research is quantitative through surveys, research data was obtained by distributing online questionnaires to 590 managers of government companies who were selected using a simple random sampling method, and an online questionnaire was designed using statements item with a Likert scale from 1 to 7. Data analysis used Structural Equation Modelling (SEM) with the SmartPLS 3.0 software tool to analyze research data. The stages of data analysis are validity testing, reliability testing, and significance testing of hypothesis testing. The results of this research show that e-government had a positive and significant effect on financial performance, and employee competence had a positive and significant effect on financial performance. Moreover, good governance had a positive and significant effect on financial performance. The novelty of this research is the creation of a new model of the relationship between e-government and financial performance, employee competence and financial performance, and good governance and financial performance which has not existed in previous studies. The practical implication of this research is that to improve the financial performance of government companies, we must implement e-government by increasing employee competency and implementing good governance.