The purpose of this article is to describe how leadership impacts knowledge management in the context of projects. To do so, a systematic literature review (SLR) was carried out using the Scopus and Web of Science databases. The research followed a structured protocol of search, selection and analysis of articles, focusing on publications that address the intersection between leadership, knowledge management and project management. The total number of articles analysed was 103. SLR revealed that leadership is a key element in project knowledge management, impacting multiple organizational levels and acting as a key enabler in creating a culture of knowledge as a strategic asset. Furthermore, different leadership styles, such as transformational leadership, contribute to knowledge-oriented leadership and have demonstrated significant effectiveness in fostering collaborative environments and knowledge sharing. The study also identified the growing role of technology in supporting knowledge management, highlighting the importance of knowledge-oriented leadership in promoting its strategic adoption. The study offers a comprehensive overview of the enablers and barriers that impact knowledge management in projects, allowing leadership and organizations to anticipate challenges and implement more effective practices. Identifying barriers helps organizations develop preventive strategies, while understanding enablers allows them to enhance successful knowledge management practices with the help of knowledge-oriented leadership.

Projects are essential mediums for businesses, organizations and industries to reach their strategic goal, however managing multiple projects simultaneously is a complex task. There have been a number of studies conducted on developing and introducing frameworks and models to help optimize project portfolio management. This study aims to identify these frameworks and analyze them to gain an understanding of the core components of these frameworks and to introduce the recent models and approaches used to optimize project portfolios. The methodology followed the guidelines of systematic literature reviews, by identifying a substantial number of papers, screening them and analyzing them until the research goals were met. The findings included 46 of relevant articles proposing models in project portfolio context, the data of the articles were recorded and presented and the models proposed were analyzed. Bibliographical findings were provided and by analyzing the models their core components were identified and using the core components a figure presenting the key components was illustrated.

This bibliometric survey examines 200 highly cited circular economy publications indexed in the Scopus database, spanning the period 2006 to 2023. The analysis reveals the intellectual structure, research themes, and publication trends characterizing contemporary circular economy scholarship. Results indicate that the Journal of Cleaner Production, Resources Conservation and Recycling, and Sustainability serve as dominant publication outlets, while the most prolific authors emerge from diverse geographic regions including Europe, Asia, and North America. Thematic analysis identifies seven major research clusters: circular economy conceptualization and theoretical foundations, construction and demolition waste management, plastic waste recycling and packaging, electronic waste and lithium-ion battery recycling, Industry 4.0 and digital technologies enabling circular transitions, biomass and bioenergy valorization, and circular business models and supply chain management. Geographic analysis demonstrates substantial research output from China, European nations, the United States, and India, reflecting both regulatory drivers and industrial imperatives. The findings suggest that circular economy research has matured from conceptual frameworks toward applied technological solutions, with increasing emphasis on life cycle assessment, industrial symbiosis implementation, and digital technology integration. This survey provides researchers and practitioners with a systematic mapping of the circular economy knowledge landscape and identifies emerging frontiers including blockchain applications, artificial intelligence for resource management, and chemical recycling technologies.

Waste management has evolved from a local sanitation issue to a global interdisciplinary challenge, integral to circular economies, public health, and climate change mitigation. This scientometric survey analyzes the intellectual landscape of highly cited waste management research. Using a dataset of two hundred highly cited documents retrieved from Scopus, this study employs performance analysis and science mapping techniques to examine publication trends, influential authors, core journals, and dominant research themes. The analysis reveals a significant concentration of influence among a limited number of authors and journals, with a marked increase in publications after 2015. The intellectual structure is anchored by several major themes: plastic and microplastic pollution, circular economy frameworks, biological treatment technologies (anaerobic digestion, composting), chemical and thermal conversion (pyrolysis, gasification), material-specific recycling (e-waste, construction and demolition waste, batteries, steel slags), and advanced wastewater and soil remediation. A notable focus on the environmental and health impacts of pollutants, particularly from plastics and pharmaceuticals, coexists with technological solutionism. The field is shifting from end-of-pipe solutions to upstream strategies like prevention and circular design. Future research must prioritize the social and economic dimensions of implementation, develop standardized methods for emerging contaminants like microplastics, and address the challenges exacerbated by crises like the COVID-19 pandemic.

This research paper is a systematic literature review (SLR) based on a theory-grounded analysis of supply chain resilience (SCR) concerning, in particular, resilience capabilities and resilience capability logics. In accordance with PRISMA 2020, 45 peer-reviewed journal articles found in Scopus were identified, screened and analysed. In addition to classifying the resilience capabilities, this review takes a dynamic capabilities and contingency approach to theorize the role resilience capabilities play as interacting logics through the phases of disruption (pre-disruption, during disruption, and post-disruption). The results suggest 7 central resilience capabilities (flexibility, redundancy, agility, collaboration, visibility, robustness and adaptability) that are grouped into three higher-order capability logics (buffering, adaptive and transformational). It has systematic trade-offs between efficiency and resilience, is characterized by a pre-eminent focal-firm bias, and limited longitudinal and multi-tier research are revealed in the review. This study lays these contributions on process-oriented resilience capability logic framework and sequencing of capability, shifting the capability enumeration to a capability configuration and sequencing to enhance theory development in supply chain resilience. Theoretically based coding scheme drew on the dynamic capabilities theory (sensing, seizing, reconfiguring) and contingency logic in order to discover underlying capability mechanisms.