This paper examines the sustainability practices implemented by healthcare establishments, mainly Small and Medium enterprises (SMEs), We focus on identifying opportunities with challenges involved. This systematic literature analyses 47 studies that explore sustainability practices in the healthcare system globally. The finding from the studies reveals that healthcare organizations with SMEs adopt diverse measures like renewable energy, a reduction, and a response procurement in minimizing the impact on the environment and ensuring financial stability. The challenges SMEs face comprise limited financial resources, lack of expertise, with difficulties accessing information and support. Furthermore, we suggest opportunities for SMEs to enhance sustainability practices with partnerships with other organizations and investing in educating employees. Implementation of sustainability practices will improve the financial stability, and environmental impact, with the wellbeing of healthcare stakeholders. The empirical evidence, comparative studies with cross-disciplinary are needed in exploring the effectiveness of the different suitability practices, potential trade-offs, synergies between sustainability and other organizational goals, the effect of sustainability practice in the financial with non-financial performance on SMEs in healthcare establishment are positive, with cost-effectiveness, efficiencies operations, improving brand reputations and engaging the employee. Established factors like regulating frameworks and government initiatives play a major role in the influence of adopting sustainability practices with cultural factors.

E-commerce plays an important role in many organizations and businesses, including small and medium-sized enterprises (SMEs). Although the body of scientific knowledge carries significant research in addressing the main drivers and challenges of e-commerce among SMEs, the Saudi market was untouched, especially after the official Saudi government classification of SMEs back in December of 2016. Therefore, this study aims to explore the most common factors and challenges of SMEs when utilizing e-commerce in Saudi Arabia. It focused on Jeddah City as the second-largest city and the main seaport of the country. This research is based on a quantitative survey carried out among 63 firms, due to the difficulty in reaching a larger number of participants who had dedicated time and budget. The examined factors were collected from the literature and classified using the Technology, Organization, and Environment Model (TOE). Out of 63 firms, only six were adopting e-commerce. This led us to focus more on the challenges that hindered the remaining 57 from utilizing e-commerce. The analysis results uncovered the status of e-commerce among a sample of Saudi SMEs and showed that the knowledge and awareness level of e-commerce potential for businesses play a significant factor in reaching this incredibly low number.

The debate on relocating Indonesia’s national capital from Jakarta stems from critical issues such as overpopulation, social inequality, environmental degradation, and natural disaster risks. These challenges highlight the need to reassess Jakarta’s viability as the nation’s administrative center. This study evaluates Indonesia’s readiness to address the complexities of relocation by analyzing Jakarta’s socio-economic, political, cultural, and geographical conditions. Using a systematic literature review (SLR) with a qualitative approach, the research explores key questions: Do Jakarta’s conditions necessitate relocation? What challenges might arise from the move? How prepared is Indonesia to tackle these challenges? The SLR process includes defining questions, sourcing literature from reputable databases, applying inclusion/exclusion criteria, and synthesizing data for analysis. Findings reveal Jakarta’s multifaceted challenges, including social disparities, environmental degradation, disaster risks, and governance issues, which emphasize the urgency of considering relocation. However, the study also identifies significant hurdles, such as high costs, logistical complexities, potential social conflicts, and environmental risks at the new capital site. Relocating the capital is a strategic and complex undertaking that requires meticulous planning. Indonesia must weigh Jakarta’s current issues, address potential relocation challenges, and ensure readiness for risk mitigation and sustainable development. Comprehensive and thoughtful planning is essential to achieve a successful and balanced transition.

The integration of Big Earth Data and Artificial Intelligence (AI) has revolutionized geological and mineral mapping by delivering enhanced accuracy, efficiency, and scalability in analyzing large-scale remote sensing datasets. This study appraisals the application of advanced AI techniques, including machine learning and deep learning models such as Convolutional Neural Networks (CNNs), to multispectral and hyperspectral data for the identification and classification of geological formations and mineral deposits. The manuscript provides a critical analysis of AI’s capabilities, emphasizing its current significance and potential as demonstrated by organizations like NASA in managing complex geospatial datasets. A detailed examination of selected AI methodologies, criteria for case selection, and ethical and social impacts enriches the discussion, addressing gaps in the responsible application of AI in geosciences. The findings highlight notable improvements in detecting complex spatial patterns and subtle spectral signatures, advancing the generation of precise geological maps. Quantitative analyses compare AI-driven approaches with traditional techniques, underscoring their superiority in performance metrics such as accuracy and computational efficiency. The study also proposes solutions to challenges such as data quality, model transparency, and computational demands. By integrating enhanced visual aids and practical case studies, the research underscores its innovations in algorithmic breakthroughs and geospatial data integration. These contributions advance the growing body of knowledge in Big Earth Data and geosciences, setting a foundation for responsible, equitable, and impactful future applications of AI in geological and mineral mapping.

With society’s continuous development and progress, artificial intelligence (AI) technology is increasingly utilized in higher education, garnering increased attention. The current application of AI in higher education impacts teachers’ instructional methods and students’ learning processes. While acknowledging that AI advancements offers numerous advantages and contribute significantly to societal progress, excessive reliance on AI within education may give rise to various issues, students’ over-dependence on AI can have particularly severe consequences. Although many scholars have recently conducted research on artificial intelligence, there is insufficient analysis of the positive and negative effects on higher education. In this paper, researchers examine the existing literature on AI’s impact on higher education to explore the opportunities and challenges presented by this super technology for teaching and learning in higher educational institutions. To address our research questions, we conducted literature searches using two major databases—Scopus and Web of Science—and we selected articles using the PRISMA method. Findings indicate that AI plays a significant role in enhancing student efficiency in academic tasks and homework; However, when considering this issue from an ethical standpoint, it becomes apparent that excessive use of AI hinders the development of learners’ knowledge systems while also impairing their cognitive abilities due to an over-reliance on artificial technology. Therefore, our research provides essential guidance for stakeholders on the wise use of artificial intelligence technology.

Objective/Aim: In the context of a constantly changing legislative environment and the necessity for professionals to develop their skills, the research focuses on identifying effective methods and tools that facilitate efficient learning and professional development in the field of labour law. This study aimed to propose a pedagogical technology for the preparation and training of specialists in the field of labour law and to assess the effectiveness of the training based on the specified technology. Method: The study involved 124 participants, with 63 in the experimental group and 61 in the control group. Statistical analysis was performed using Microsoft Excel. The student’s t-test indicated significant improvements in the experimental group’s training effectiveness, confirming the proposed pedagogical technology’s efficacy. Results: Consequently, implementing training and education technology for specialists in the labour law field was proposed to enhance the indicators. The criteria for the preparation of specialists in the field of labour law were delineated, including knowledge of labour legislation, consulting and support skills, analytical skills, communication skills, and continuous learning. According to the criteria above, levels of preparation for specialists in the field of labour law were established, namely high, medium, and essential. The proposed training and education technology for specialists in the field of labour encompasses the following tools: The utilisation of online platforms and educational resources, virtual classes and simulations, the incorporation of multimedia materials, the integration of adaptive learning technologies, the implementation of project- and problem-oriented teaching methodologies, the incorporation of interactive methodologies, the incorporation of cloud technologies and mobile applications, and the provision of assessment and feedback. Conclusion: The proposed pedagogical technology effectively enhances the training and education of labour law specialists. The experimental group’s significant improvement in learning outcomes confirms the technology’s efficacy. Implication: The findings of this research hold significant social implications. Improved training and education of labour law specialists leads to a more competent and effective legal workforce. This, in turn, ensures better protection of workers’ rights and fairer employer-employee relations, contributing to overall social stability.