The study aimed to demonstrate the impact of Green Supply Chain Management (GSCM) with its dimensions (Green IT, Green Manufacturing and Packaging, Green Storing, Green Purchasing, Green Marketing) on the quality of services in renewable energy companies in Jordan. In addition, the study also aimed to measure the impact of intellectual capital on the impact of GSCM on the quality of services in renewable energy companies in Jordan. By adopting the survey/sampling method, data was collected from the study population of (482) companies, and the study sample consisted of (260) managers of renewable energy companies in Jordan using a questionnaire. The study reached several results, the most important of which are: the existence of an impact of green supply chain management on the quality of services in renewable energy companies, that intellectual capital has modified and enhanced the effect, and that renewable energy companies in Jordan seek to use environmentally friendly inputs in their production at a very high rate, several recommendations emerged from these results, most notably: that companies constantly review the production processes followed by suppliers to ensure their compliance with environmental specifications.

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.

The present study aimed at investigating the impact of liquidity management on profitability in the industrial companies listed on Amman Stock Exchange. Data was obtained from the financial statements of several industrial companies that were listed on Amman Stock Exchange during the period (2010-2018). The data was analyzed through using the SPSS program. The researcher analyzed several financial statements to collect data about liquidity and profitability. It was found that liquidity management affects profitability in the targeted companies.