Year: 2025
Type: article
Abstract: Solar energy investments involve financial and technological commitments aimed at generating electricity or heat from sunlight. Direct electricity production is achieved through solar panels, while concentrated sunlight produces high-temperature energy. The importance of solar energy investments can be assessed from multiple perspectives. These projects reduce carbon emissions by decreasing reliance on fossil fuels. Solar energy investments are becoming increasingly vital, particularly in alignment with energy transition and sustainable development goals. In short, solar energy is a sustainable and environmentally friendly power source. It also enhances energy access in rural areas through off-grid energy production. To identify the critical factors influencing procurement performance in solar energy investments, a novel decision-making model is proposed, incorporating the SIWEC technique. The findings reveal that strategy definition is the most crucial aspect of the procurement process in solar energy investments. A common digital platform should be implemented across all company units to improve coordination in project and procurement processes. This platform enables real-time tracking of business plans, ensuring timely service delivery and more effective project risk management. Additionally, robust project management software should be utilized to monitor all stages of solar energy projects. Such tools help streamline supply processes, meet material requirements on time, and optimize costs. Potential disruptions in project planning can be identified early through digital systems, further reducing operational expenses. A transparent, data-driven supplier evaluation and selection process should be established to identify the most suitable suppliers for solar energy investments. Supplier performance must be monitored, evaluated, and reviewed periodically. Selecting the right supplier enhances project quality and overall efficiency.
DOI: 10.31181/sor31202636
Institution: Istanbul Medipol University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4409187997