This study investigates the impact of green innovation strategy on project management performance in the food sector of Saudi Arabia, examining the mediating roles of strategic quality planning and strategic leadership. Using a cross-sectional quantitative approach, data were collected in January 2025 from 341 employees through a convenience sampling technique. Structural equation modeling via SmartPLS was employed to analyze the data. Results indicate that green innovation strategy positively influences strategic quality planning (β = 0.655) and strategic leadership (β = 0.541), which in turn significantly enhance project management performance (β = 0.566 and β = 0.657, respectively). Additionally, strategic quality planning (β = 0.456) and strategic leadership (β = 0.505) partially mediate the relationship between green innovation strategy and project management performance. These findings highlight the critical role of green innovation and strategic management practices in improving project outcomes within Saudi Arabia’s food industry.

This study examines the relationships between circular economy capability, green supply chain, green process innovation, and sustainable performance in the manufacturing sector of Saudi Arabia. As the country transitions toward its Vision 2030 goals, which emphasize sustainability and economic diversification, the manufacturing sector plays a critical role in adopting circular economy principles and green practices to reduce environmental impact and enhance resource efficiency. Using a cross-sectional research design, data were collected from managerial-level employees through a structured questionnaire. Data analysis was conducted using structural equation modeling (SEM) to examine the hypothesized relationships. The findings reveal that circular economy capability significantly drives green supply chain and green process innovation, which in turn enhance sustainable performance. The study also identifies green supply chain and green process innovation as critical mediators in the relationship between circular economy capability and sustainable performance. The results highlight the importance of integrating circular economy principles with green practices to achieve sustainability goals. It provides actionable insights for organizations to enhance their sustainability efforts, such as investing in resource efficiency, adopting green supply chain practices, and fostering process innovation.

This study examines the impact of artificial intelligence (AI) on project management performance, with a focus on the mediating roles of top management support and project management competence retention. A cross-sectional research design was employed, and data were collected from 309 employees using a convenience sampling technique. Conducted within the context of Saudi Arabia’s manufacturing sector, the research aligns with the nation’s Vision 2030 goals of economic diversification and technological advancement. Data analysis was performed using structural equation modeling (SEM) to examine the relationships between the constructs. The results reveal that AI has a significant direct impact on both top management support (β = 0.865) and competence retention (β = 0.827), while also indirectly enhancing project performance through these mediating factors (β = 0.666 and β = 0.471, respectively). Additionally, top management support (β = 0.771) and competence retention (β = 0.507) directly influence project performance. The findings highlight the critical role of AI in improving decision-making, resource allocation, and skill retention, ultimately leading to better project outcomes. The findings have significant implications for organizations and policymakers. Practically, organizations in Saudi Arabia’s manufacturing sector can leverage AI to enhance project outcomes by improving decision-making, resource allocation, and skill retention.