The primary objective of this research is to examine the relationship between Good Corporate Governance (GCG), value chain, and bank asset growth in Indonesian State-Owned banks. Additionally, this study aims to determine whether value chain mediates the relationship between GCG and bank asset growth. This research employs a quantitative method. Data is collected using a questionnaire with a Likert scale ranging from 1 to 7. The respondents in this study are employees and managers working in state-owned banks in Indonesia. The total sample size used in this research is 239 samples. Data analysis is conducted using SmartPLS 4 software. The results of this study demonstrate that GCG has a significant positive relationship with the value chain of the bank. However, the direct relationship between GCG and bank asset growth is not statistically significant. The results of the mediation analysis show that value chain mediates the relationship between GCG and bank asset growth, emphasizing the critical role of value chain in optimizing the impact of GCG on bank asset growth.

This research investigates how value chains mediate the relationship between innovation strategies and GCG to company performance. The research method used in this study uses an explanatory quantitative approach. The sample used in this study was 60 manufacturing companies in Indonesia. Each questionnaire represents a manufacturing company as a respondent in the survey. Primary data from survey distribution results that passed a validity and reliability test were used in this study. The data obtained were tested using Partial Least Square (PLS). The results show that the value chain acts as a mediator for the influence of innovation strategies and GCG on company performance.

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.

The financial performance of a company reflects its ability to run and manage its operations while strictly adhering to prudent financial administration principles. Good financial performance often mirrors the implementation of Good Corporate Governance (GCG) principles in a company. The application of GCG provides a solid foundation for a company to conduct its operations transparently, ethically, and accountability. The objective of this research is to analyze the implementation of GCG and the capabilities of big data analysis on financial performance, as well as to examine the mediating role of big data analysis in the relationship between GCG and financial performance. The research method employed is quantitative, and data were obtained through a survey questionnaire distributed using a Likert Scale of 1-5. Random sampling was employed to select 258 samples from manufacturing companies that are State-Owned Enterprises (SOE/BUMN) listed on the Indonesia Stock Exchange (ISE/BEI). Data collection took place from March 2023 to May 2023. Respondents included staff and managers from these BUMN companies. The collected data were analyzed using Structural Equation Modeling (SEM) with SmartPLS software. The research findings indicate that GCG has a positive and significant influence on big data analysis, providing a foundation for digital transformation. Furthermore, GCG also contributes positively and significantly to the financial performance of the company. Big data analysis has proven to have a positive impact on financial performance, indicating the role of technology in optimizing financial results. Another interesting finding is that big data analysis mediates the relationship between GCG and financial performance, highlighting the crucial role of technology in connecting good corporate governance practices with optimal financial outcomes.

This research discusses and analyzes scientific, macroeconomic, financial risk management, audit views, stock returns, investment decisions, funding decisions, and good corporate governance as a moderator. There are 147 samples of manufacturing companies listed on the Indonesia Stock Exchange. The results of this study indicate that there are four insignificant hypotheses. The results indicate: Macroeconomics does not have a substantial effect on Financial Risk Management, Good corporate governance (GCG) is having no significant impact on Going Concern Audit Opinion. Stock Return is having no significant effect on Going Concern Audit Opinion; GCG does not moderate the impact of Stock Return on Going Concern Audit Opinion when the level of significance is five percent.

The purpose of this study is to examine the enhancement of the competitiveness of creative industries based on information technology and good corporate governance in Central Java. In this research, it is expected to find the right selection of information technology and the application of good corporate governance to improve the competitiveness of the creative industries in the handicraft sub-sector in Central Java. The sampling technique is based on a purposive sampling method and get 112 respondents as samples that meet all the criteria. The analytical tool used to test the hypotheses in this study uses the Structural Equation Model. The results of this study indicate that it is necessary to utilize the development of information technology and the application of good corporate governance to increase the company's market competitiveness which will impact on improving company performance. In addition, transparency and accountability are also needed to build stakeholder's trust.