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There are several important strategic projects in the field of renewable energy in Egypt. Benban project is considered as one of the largest solar generation facilities in the world, which aims to increase clean energy produced, provide electricity needs for citizens and help to increase the volume of Egypt's electricity exports. The purpose of this paper is to explore the most important drivers and barriers that affect the implementation of green supply chain management (GSCM) practices in the field of solar energy production.

It is an exploratory research that conducts a case study about solar energy companies operating in Benban, south Egypt. It adopts a mixed approach; qualitative and quantitative research strategy to test the relationship between dependent and independent variables through a survey.

This research concluded that normative drivers involving stakeholder pressure are of the greatest drivers of GSCM practice, while external barriers including lack of government regulations and government support, poor supplier commitment, customers’ unawareness of sustainable green products, lack of markets receiving and manufacturing recycled materials, lack of renewal or technological innovation in markets and lack of human resources or expertise in market are among the biggest barriers to GSCM implementation.

The researchers collected 30 responses during the field survey, which is a nonrandom sample that does not allow generalization. In addition, samples are only from companies in the solar energy sector only.

As there is a need for research that addresses sustainability practices and solutions in developing countries, especially in Egypt, this paper theoretically contributes to literature by proposing a conceptual framework that identifies the drivers and barriers of GSCM from the existing literature, then investigates and measures their impact on the implementation of GSCM on an Egyptian case study. As regards the practical contribution, this research is a trial to experimentally test the importance of top management’s role in motivating and training employees to improve the brand image of their company and making them aware of the benefits of the successful GSCM implementation.

This study focused on exploring the performance factors (PFs) that impact Infrastructure Sanitation Projects (ISSPs) in the construction sector. The aim was twofold: firstly, to identify these crucial PFs and secondly, to develop a robust performance model capable of effectively measuring and assessing the intricate interdependencies and correlations within ISSPs. By achieving these objectives, the study aimed to provide valuable insights into and tools for enhancing the efficiency and effectiveness of sanitation projects in the construction industry.

To achieve the study's aim, the methodology for identifying the PFs for ISSPs involved several steps: extensive literature review, interviews with Egyptian industry experts, a questionnaire survey targeting industry practitioners and an analysis using the Relative Importance Index (RII), Pareto principle and analytic network process (ANP). The RII ranked factor importance,  and Pareto identified the top 20% for ANP, which determined connections and interdependencies among these factors.

The literature review identified 36 PFs, and an additional 13 were uncovered during interviews. The highest-ranked PF is PF5, while PF19 is the lowest-ranked. Pareto principle selected 11 PFs, representing the top 20% of factors. The ANP model produced an application for measuring ISSP effectiveness, validated through two case studies. Application results were 92.25% and 91.48%, compared to actual results of 95.77% and 97.37%, indicating its effectiveness and accuracy, respectively.

This study addresses a significant knowledge gap by identifying the critical PFs that influence ISSPs within the construction industry. Subsequently, it constructs a novel performance model, resulting in the development of a practical computer application aimed at measuring and evaluating the performance of these projects.