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.

Sustainable Enterprise Resource Planning (S-ERP) systems are essential for integrating sustainability into business operations and improving environmental, social, and economic performance for any organization. Nevertheless, the implementation of S-ERP systems is complicated and presents multiple challenges. The purpose of this review is to fill the knowledge gap by thoroughly analyzing the current status and utilization of S-ERP systems through an in-depth examination of existing literature to identify critical factors for successful implementation and offer guidance to support organizations in aligning sustainability goals with ERP systems. Employing a qualitative narrative review methodology, this research examines literature from major academic databases and focusing on studies published between 2000 and 2024. The research identifies key factors crucial to the successful integration of S-ERP systems, such as comprehensive strategic planning, efficient data management, strong managerial commitment, interdisciplinary expertise, and a carefully structured implementation plan. These factors not only streamline the initial deployment process but also ensure the system’s flexibility to accommodate evolving sustainability goals and technological advancements. The study emphasizes the importance of a systematic approach to S-ERP adoption, with a focus on aligning with the organization’s sustainability objectives and structural context to optimize benefits while minimizing risks. This research provides actionable guidance for organizations seeking to implement S-ERP systems effectively, offering strategies to navigate both the opportunities and challenges in this rapidly evolving field. It also delivers critical insights for researchers, industry practitioners, and organizational leaders, equipping them with the knowledge needed to enhance sustainability efforts through the adoption and optimization of S-ERP systems.

The global growth of solar power has led to a significant increase in solar photovoltaics (PV) waste, which is expected to rise significantly in the coming years. The recommended end-of-life (EOL) management techniques for wasted PV panels include landfill disposal, recycling, or panel reuse. However, a comprehensive decision-making strategy is necessary to assess the appropriate EOL plans from various perspectives, including economic, environmental, sociological, technological, regulatory, and business. This study aims to establish a comprehensive approach for examining disposition alternatives and suggest guidelines for PV EOL management. The Analytic Hierarchy Process (AHP) is used to prioritize disposition alternatives for solar PV waste, considering five key criteria: environmental impact, economic viability, social implications, policy and legislative compliance, and technical feasibility. The AHP Aggregating Individual Priorities (AIP) aggregation approach is used to analyze data using a pairwise comparisons matrix. The research indicates that recycling is the most preferred option based on the primary criteria, achieving the highest overall score compared to other alternatives. However, discrepancies were observed in the decisions among individual stakeholder groups and subfactor evaluations. To address these variations, this study provides policy recommendations to guide the sector in adopting optimal decision-making strategies for PV EOL management.

This review paper investigates the relationship between Enterprise Resource Planning (ERP) systems and performance management in healthcare, aiming to clarify how ERP implementation affects both operational and strategic outcomes. Applying the PRISMA framework, the study analyzed 74 research papers, providing a detailed content analysis of ERP benefits, challenges, and implementation factors alongside a quantitative review of research themes and geographic focus. Findings indicate that ERP systems can streamline healthcare operations and enhance strategic management, yet a significant gap remains, indicating that limited studies address how ERP systems specifically affect performance management frameworks. This review is particularly relevant for healthcare administrators, policymakers, and system integrators, offering insights to optimize operational efficiency, allocate resources, and align ERP adoption with strategic goals. While considerable research examines ERP’s operational advantages, few studies connect these to actual performance outcomes, highlighting a need for further investigation. This review focuses on ERP systems within healthcare, recommending that future research extend to other systems to support broader healthcare improvements. The practical implications of integrating ERP with performance management frameworks extend to improving patient-centered care and driving efficient service delivery. Addressing identified gaps may strengthen ERP adoption and performance strategies, fostering a more effective healthcare environment. Moreover, integrating ERP with performance management frameworks has social implications, as it could enhance patient-centered and efficient service delivery. The originality of this study lies in its comprehensive exploration of ERP-performance relationships, providing a meaningful foundation for future research initiatives.

Spare parts management is a persistent operational challenge, often constrained by long lead times, high inventory costs, and frequent supply chain disruptions. Digital spare parts (DSP), enabled by additive manufacturing and digital technologies, provide a promising alternative through localized production and demand-driven supply. Yet, successful DSP adoption requires more than technological readiness; it depends on a systemic understanding of the ecosystem of enablers that shape both economic and operational viability. This study develops and empirically validates a structural model of DSP ecosystem readiness in the United Arab Emirates, an emerging economy pursuing industrial diversification. Data were collected from 162 industry professionals across energy, manufacturing, healthcare, automotive, and aerospace sectors. Using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM), the study examines the interdependencies among 13 critical ecosystem factors. Findings show that infrastructure readiness, cost management, vendor support, customization capability, and quality assurance significantly and positively influence DSP adoption. In contrast, material availability, scalability, and industry readiness demonstrate counterintuitive negative effects, while sustainability and risk management exhibit no significant direct impacts. The results highlight the complex interplay of economic and operational drivers, providing an empirically grounded framework for understanding DSP ecosystem readiness and offering analytical insights for researchers and industry practitioners.