Life satisfaction is a concept related to an individual’s evaluation of their life, which is determined by taking into account all of the aspects that could affect it. Such an evaluation usually takes into consideration more than just economic conditions. In this paper, we present the relationship of life satisfaction with two of its main determinants, namely, self-reported health and leisure satisfaction. To exemplify this relationship, we utilize data from Mexico.

This study aims to develop a multifaceted conceptual basis for employee collaboration with regard to promoting organizational sustainability, which encompasses environmental, social, and economic dimensions. Employing a mixed-methods framework, the study integrates a thorough literature review with a qualitative content analysis. A distinctive feature of this investigation is its emphasis on incorporating collaborative methodologies into sustainability strategies across various organizational frameworks, illustrating how collaboration can be refined through adaptive leadership, interdisciplinary teams, and digital technologies. The results indicate that organizations characterized by a robust collaborative culture demonstrate greater success in fostering sustainable innovations, minimizing environmental repercussions, and enhancing employee engagement. Furthermore, the study introduces a novel model that correlates collaboration with operational sustainability, taking into account diverse levels of resource sharing, leadership engagement, and employee empowerment. By focusing on actionable strategies, this research provides novel insights into how adaptive leadership, digital tools, and shared responsibility can transform collaboration into a driver of sustainability. This research enriches the existing body of literature by presenting an evidence-based framework for cultivating sustainable organizational cultures and provides valuable insights for prospective research on harnessing collaboration to attain long-term sustainability goals.

The incorporation of graphene into cellulose matrices has emerged as a promising strategy for enhancing the structural and functional properties of composite materials. This comprehensive review provides a critical analysis of recent advances in optimizing graphene content in cellulose matrices and its impact on composite performance. Various optimization techniques, including response surface methodology, particle swarm optimization, and artificial neural networks, have been employed to identify optimal graphene concentrations and processing conditions. Quantitative analyses demonstrate significant improvements in mechanical properties, with notable increases in tensile strength and Young’s modulus reported for graphene/microfibrillated cellulose composites. Substantial enhancements in thermal stability have been observed in lysozyme-modified graphene nanoplatelet–cellulose composites. Electrical conductivity has been achieved at low graphene loading levels. Additionally, barrier properties, biocompatibility, and functionality for applications such as energy storage and environmental remediation have been substantially improved. This review explores case studies encompassing the optimization of thermal conductivity, viscosity, durability behaviors, pollutant removal, and various other properties. Despite promising results, challenges remain, including uniform dispersion, scalability, cost-effectiveness, and long-term stability. Strategies such as surface functionalization, solvent selection, and protective coatings are discussed. Future research directions, including novel processing techniques like 3D printing and electrospinning, as well as the incorporation of additional functional materials, are outlined. This review synthesizes current knowledge, identifies emerging trends, and provides a roadmap for future research in the rapidly evolving field of graphene–cellulose composites.