In response to the growing need for environmental stewardship, Green Human Resource Management (GHRM) has emerged to incorporate sustainability in organizational practices, with Artificial Intelligence (AI) offering transformative potential. However, a comprehensive synthesis of the intersection between AI and GHRM is notably absent, prompting this review to systematically map the existing knowledge base and identify key trends. To bride this research gap, a systematic literature review was undertaken following the PRISMA framework, employing content and bibliometric analysis on 53 relevant articles published between 2018 and 2025. The analysis revealed five primary research themes, highlighting AI’s significant role in enhancing green recruitment, training, and performance management, while also underscoring critical challenges related to ethical considerations and organizational readiness. This review offers a structured synthesis of the AI-GHRM landscape, concluding with key interpretations that guide future research toward areas including adaptive systems, big data analytics, and the development of robust ethical frameworks, thereby serving as a valuable resource for advancing sustainable HRM practices. Moreover, this study directly contributes to the United Nations Sustainable Development Goals (SDGs), particularly SDG 8 (Decent Work and Economic Growth), SDG 9 (Industry, Innovation and Infrastructure), and SDG 12 (Responsible Consumption and Production), through emphasizing the strategic significance of AI-enabled Green HRM in fostering organizational sustainability.

Sustainability has a solid understanding on a broad level; however, in construction, there is no consensus about what it encompasses. Different practitioners perceive sustainability in construction from different perspectives. There are existing debates concerning the definition and scope of sustainable construction. Therefore, the aim of this research is to set a benchmark for the perceptions governing the understanding of sustainability in construction amongst practitioners working in the UAE’s construction sector. To collect the perceptions, the reviewed literature was condensed to develop an online survey that was validated by an expert panel and collected data from 129 industry professionals in 2022. The reliability of the collected data was confirmed using Cronbach’s alpha. Upon confirming the validity and reliability of the collected data, the analysis of the perceptions was done using descriptive statistics and the relative importance index. The findings confirm that the economic and social pillars are not as recognized as the environmental pillar. Stakeholders are familiar with implementing sustainable practices in the design and construction phases whereas contract formation, procurement and demolition phases had the lowest RII ranking. Stakeholders are informed about the environmental benefits of sustainable construction, but efforts to familiarize them with the benefits of the economic and social pillars should be amplified. The main barriers were the necessity for additional research and the difficulty to implement sustainable construction due to the lack of understanding about what it is. Data collected aligns with the main problem statement which is the lack of understanding about what sustainable construction entails. The contribution that this research has added to the body of knowledge is that the exclusive collection and analysis of the perceptions governing sustainability in the UAE’s construction industry should draw the attention of policymakers that the true meaning of sustainability has not yet infiltrated the construction industry and immediate intervention is mandatory to increase the awareness levels of the stakeholders working in the UAE’s construction industry about what sustainable construction is.

This systematic literature review explores the critical role of microbiomes in the built environment (MoBE) and their impact on public health, particularly in pathogen transmission and infection control. Microbial communities in indoor and outdoor spaces are shaped by architectural design, ventilation, human occupancy, and other environmental factors. The COVID-19 pandemic has intensified the need to understand airborne, surface, waterborne, and other transmission pathways to mitigate disease spread. Despite advancements in microbial ecology, gaps remain in integrating findings with architectural and urban planning strategies. Future research should incorporate smart technologies, study long-term MoBE dynamics, explore sustainable building materials, and assess climate change impacts on microbial compositions. Strengthening policies on microbial risk management, air quality, and sanitation in high-occupancy environments, addressing these gaps, and fostering interdisciplinary collaboration will help create healthier, safer, and more resilient built environments aligned with global sustainability and public health goals.

Despite the significant potential of biomimicry to advance sustainability in the UAE’s rapidly urbanizing construction sector, its widespread adoption is hindered by critical contextual challenges and implementation barriers. Therefore, this study investigates the critical factors shaping stakeholders’ perceptions of biomimicry adoption as a sustainable construction strategy in the UAE. Given the region’s rapid urban development and environmental challenges, understanding these perceptions is essential for identifying enablers and inhibitors of adoption. A hypothetical model comprising six latent dimensions: knowledge, social, environmental, resource, regulatory, and risk, was empirically tested using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) based on data collected through a structured survey targeting UAE construction professionals. The results demonstrate that knowledge, regulatory, and risk factors significantly influence stakeholder perceptions and intentions to adopt biomimicry. To complement these insights, the Relative Importance Index (RII) was applied to rank specific indicators within each dimension, offering granular perspectives on stakeholder priorities. The findings emphasize the need for targeted educational programs, policy reforms, and risk mitigation strategies to facilitate biomimicry integration and support the UAE’s broader sustainability agenda.

Introduction: Urban livability has become a central component of sustainable development and quality-of-life (QoL) planning in rapidly growing cities. This study investigates the key urban livability dimensions influencing residents' perceived QoL in residential communities within the rapidly urbanizing United Arab Emirates (UAE). Methods: Employing a mixed-methods approach that integrates Fuzzy Delphi expert consensus and Structural Equation Modeling (SEM) of resident survey data, the research examines the influence of environmental quality, green infrastructure and ecosystems, transport and mobility, social and community services, living conditions of the built environment, and sustainability and resource management. Results: The findings reveal that green infrastructure and ecosystems, transport and mobility, and the living conditions of the built environment significantly enhance perceived QoL. Environmental quality also exerts a substantial effect, as poor air quality, excessive noise, and visual pollution negatively impact residents' wellbeing. In contrast, social and community services and sustainability and resource management do not emerge as significant direct predictors in this context. Discussion: These findings highlight the primacy of physical-environment and mobility factors in shaping livability perceptions within the UAE and underscore the need for resident-centered, evidence-based urban planning. Given that the analysis is grounded in a single-community sample, the findings are interpreted analytically and are intended to provide context-specific, exploratory insights for policymakers seeking to design sustainable and livable urban environments in the Gulf region and comparable rapidly urbanizing contexts, while signaling the need for larger, multi-community studies to confirm and extend these results.