This paper explores the role of Internet of Things (IoT) and its impact on supply chain management (SCM) through an extensive literature review. Important aspects of IoT in SCM are covered including IoT definition, main IoT technology enablers and various SCM processes and applications. We offer several categorisation of the extant literature, such as based on methodology, industry sector and focus on a classification based on major supply chain processes. In addition, a bibliometric analysis of the literature is also presented. We find that most studies have focused on conceptualising the impact of IoT with limited analytical models and empirical studies. In addition, most studies have focused on the delivery supply chain process and the food and manufacturing supply chains. Areas of future SCM research that can support IoT implementation are also identified.

In the ever-evolving era of technological advancements, generative artificial intelligence (GAI) emerges as a transformative force, revolutionizing education. This review paper, guided by the PRISMA framework, presents a comprehensive analysis of GAI in education, synthesizing key insights from a selection of 207 research papers to identify research gaps and future directions in the field. This study begins with a content analysis that explores GAI’s transformative impact in specific educational domains, including medical education and engineering education. The versatile applications of GAI encompass assessment, personalized learning support, and intelligent tutoring systems. Ethical considerations, interdisciplinary collaboration, and responsible technology use are highlighted, emphasizing the need for transparent GAI models and addressing biases. Subsequently, a bibliometric analysis of GAI in education is conducted, examining prominent AI tools, research focus, geographic distribution, and interdisciplinary collaboration. ChatGPT emerges as a dominant GAI tool, and the analysis reveals significant and exponential growth in GAI research in 2023. Moreover, this paper identifies promising future research directions, such as GAI-enhanced curriculum design and longitudinal studies tracking its long-term impact on learning outcomes. These findings provide a comprehensive understanding of GAI’s potential in reshaping education and offer valuable insights to researchers, educators, and policymakers interested in the intersection of GAI and education.

In this review, utilizing the PRISMA methodology, a comprehensive analysis of the use of Generative Artificial Intelligence (GAI) across diverse professional sectors is presented, drawing from 159 selected research publications. This study provides an insightful overview of the impact of GAI on enhancing institutional performance and work productivity, with a specific focus on sectors including academia, research, technology, communications, agriculture, government, and business. It highlights the critical role of GAI in navigating AI challenges, ethical considerations, and the importance of analytical thinking in these domains. The research conducts a detailed content analysis, uncovering significant trends and gaps in current GAI applications and projecting future prospects. A key aspect of this study is the bibliometric analysis, which identifies dominant tools like Chatbots and Conversational Agents, notably ChatGPT, as central to GAI’s evolution. The findings indicate a robust and accelerating trend in GAI research, expected to continue through 2024 and beyond. Additionally, this study points to potential future research directions, emphasizing the need for improved GAI design and strategic long-term planning, particularly in assessing its impact on user experience across various professional fields.

The drastically increasing significance of sustainability development has motivated higher education institutions (HEIs) to make efforts to achieve sustainability development goals (SDGs). This has led to the inevitable need to track and assess these efforts. This review is centered on the meticulous collection and analysis of pertinent papers within the context of HEIs, subsequently organizing and consolidating them into distinct sustainability domains by utilizing the PRISMA methodology. A collection of 83 pre-existing articles and publications retrieved from the Scopus database is employed for an in-depth exploration of the current research. This study employs both bibliometric and content analyses to explore distribution and citation dynamics and identifies six primary thematic concentrations within the field. The key findings highlight a significant increase in the importance of sustainability, emphasizing the critical need for HEIs to integrate SDGs across all departments. Additionally, the development of cross-institutional evaluation tools tailored to various sustainability aspects is underscored. These tools elucidate key competencies and broaden the application of educational sustainability in both research and curriculum development. The study also identifies a need for future research to explore how effectively these assessment methodologies drive tangible sustainability outcomes within HEIs. It suggests that developing more nuanced and adaptable evaluation tools could better meet the diverse needs of institutions globally. Additionally, the findings support HEIs’ and stakeholders’ decision making by identifying potential challenges in the implementation and assessment of sustainability.

Higher Education Institutions (HEIs) play a critical role in addressing global sustainability challenges and advancing the Sustainable Development Goals (SDGs), particularly SDG 4 (Quality Education), SDG 11 (Sustainable Cities and Communities), and SDG 13 (Climate Action), through knowledge creation and dissemination. Despite their potential, the integration of sustainability into HEIs is often hindered by fragmented indicators, stakeholder misalignment, and implementation barriers. This study adopts a mixed-methods approach to identify and validate a comprehensive set of Sustainability Indicators (SIs) tailored to the HEI context, with a case study conducted at the American University of Sharjah (AUS). Derived from an extensive literature review, the indicators were validated through semi-structured interviews with key policymakers, revealing gaps in familiarity with sustainability indicators, financial constraints, technological resistance, and decentralized reporting systems. Participants emphasized the importance of environmental initiatives such as energy efficiency and sustainable procurement, while noting the comparatively limited focus on social equity (SDG 10: Reduced Inequalities) and economic dimensions (SDG 8: Decent Work and Economic Growth). Following this, the Relative Importance Index (RII) was employed to analyze stakeholder perceptions through a survey of 81 stakeholders across three key groups (students, educators, and administrative staff) and to rank the indicators by their perceived impact. The findings reveal significant disparities in stakeholder priorities, underscoring the critical need for alignment across governance, environmental, social, economic, and academic pillars. Additionally, challenges such as cost-sustainability trade-offs and fragmented operations highlight the importance of fostering enhanced institutional communication and establishing centralized frameworks to ensure cohesive and effective sustainability efforts. This research offers actionable recommendations to address these barriers, including fostering targeted awareness initiatives, promoting interdisciplinary collaboration, and customizing sustainability frameworks to institutional contexts. By providing a replicable model, the study aligns institutional strategies with stakeholder needs, contributing directly to global sustainability objectives and reinforcing HEIs' role in advancing the UN SDGs.

This study examines integrating Enterprise Resource Planning (ERP) systems with performance management (PM) practices in the UAE healthcare sector, identifying key factors for successful adoption. It addresses a critical gap by analyzing the interplay between ERP systems and PM to enhance operational efficiency, patient care, and administrative processes. A literature review identified thirty-six critical factors, refined through expert interviews to highlight nine weak integration areas and two new factors. An online survey with 81 experts, who rated the 38 factors on a five-point Likert scale, provided data to calculate the Relative Importance Index (RII). The results reveal that employee involvement in performance metrics and effective organizational measures significantly impact system effectiveness and alignment. Mid-tier factors such as leadership and managerial support are essential for integration momentum, while foundational elements like infrastructure, scalability, security, and compliance are crucial for long-term success. The study recommends a holistic approach to these factors to maximize ERP benefits, offering insights for healthcare administrators and policymakers. Additionally, it highlights the need to address the challenges, opportunities, and ethical considerations associated with using digital health technology in healthcare. Future research should explore ERP integration challenges in public and private healthcare settings, tailoring systems to specific organizational needs.