Transition to the management of Universities 5.0 is connected with transformations of social, economic, and technological development and changes in the concepts of industry functioning (transition from Industry 4.0 to Industry 5.0). This transition involves prevention of the conflict at the society-business level in the context of the protection of human resources’ interests, support for professional and personal self-realisation, and improvement of the quality of life. Human-centrism is the basis of managing Universities 5.0, in the context of which businesses and government strive towards creating the possibility for the realisation of the interests of human resources based on the use of technologies for sustainable development and based on the cooperation of human and artificial intelligence. This paper presents and theoretical and practical analysis of managing Universities 5.0 and describes the profile of this concept by its main directions (personnel training and technological support of sustainable development of innovative economy). We revealed the main phenomena accompanying personnel training, which include demassification (post-massification) which replaced the massification of higher education, and the global interaction of universities and digitalisation. The leading universities in the sphere of personnel training and technological support of the digital economy’s sustainability are presented by higher educational establishments with extensive experience and a history of activities in the market of educational services and science. The objective of this paper was to identify the profile of management of Universities 5.0 through description of its main directions (personnel training and implementation of technological support of innovative economy’s sustainable development). The novel aspect of this paper lies in improvement of the theoretical and practical support of conceptualisation of directions and specifics of Universities 5.0 profile.
The adoption of photovoltaic (PV) solar pumping systems provides a sustainable and efficient solution for agriculture, particularly in regions with high solar potential such as Morocco. This study develops an optimization model that integrates field surveys, climatic data, and mathematical modeling to enhance the technical, economic, and environmental performance of PV water pumping. Results indicate that optimized solar pumping systems can reduce energy costs by up to 75%, with a payback period ranging from 2 to 8 years, depending on the energy source replaced. Additionally, environmental analysis highlights a significant reduction in CO₂ emissions, estimated between 480 and 720 tons per year for 60 studied farms. Recommendations include energy surplus valorization, smart pump adoption, and climate forecasting integration to promote large-scale PV implementation and reduce reliance on fossil fuels.
