The operational performance of container ports is crucial for efficient logistics and trade. However, there is limited understanding of how external integration through Customer and Supplier Integration (SCI-CI and SCI-SI) impacts port operational performance (POP), particularly in emerging markets like Oman. This study addresses this gap by examining the relationship between SCI-CI, SCI-SI, and POP, and explores the mediating role of supply chain management (SCM) practices in this context. Using the Resource-Based View (RBV) as the theoretical framework, the study employed a quantitative cross-sectional survey method. A total of 377 questionnaires were distributed to managers at Sohar and Salalah ports, with 331 usable responses obtained, representing an 88 percent response rate. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that SCI-CI and SCI-SI have significant direct and indirect positive effects on POP, and they directly influence SCM practices. SCM practices, in turn, significantly enhance POP. Notably, SCM practices partially mediate the relationship between SCI-CI and SCI-SI with POP. These findings underscore the strategic importance of external integration and SCM practices as internal resources for improving port performance. This research provides valuable insights for decision-makers and policymakers in optimizing port operations.

Objective: This study synthesizes current evidence on the role of Artificial Intelligence (AI) and, where relevant, Open Science (OS) practices in enhancing Human Resource Management (HRM) performance. It focuses on recruitment processes, ethical considerations, and employee participation. Methodology: A systematic literature review was conducted in Scopus covering the period 2019–2024, following PRISMA guidelines. The initial search yielded 1486 records. After de-duplication and screening using Rayyan, 66 studies (≈ 4.4%) met the inclusion criteria, which targeted peer-reviewed works addressing AI-supported HR decision-making. A combined content and bibliometric analysis was performed in R (Bibliometrix) to identify thematic patterns and conceptual structures. Results: Analysis revealed four thematic clusters: 1) Implementation and employee participation emphasizing human-in-the-loop approaches and effective change management; 2) ethical challenges including algorithmic bias, transparency gaps, and data privacy risks; 3) data-driven decision-making delivering higher accuracy, fewer errors, and personalized recruitment and performance assessment; 4) operational efficiency enabling faster workflows and reduced administrative workloads. AI tools consistently improved selection quality, while OS practices promoted transparency and knowledge sharing. Implications: The successful adoption of AI in HRM requires employee engagement, strong ethical safeguards, and transparent data governance. Future research should address the long-term cultural, organizational, and well-being impacts of AI integration, as well as its sustainability.

Integrated Resource Management plays a crucial role in sustainable development by ensuring efficient allocation and utilization of natural resources. Remote Sensing (RS) and Geographic Information System (GIS) have emerged as powerful tools for collecting, analyzing, and managing spatial data, enabling comprehensive and integrated decision-making processes. This review article uniquely focuses on Integrated Resource Management (IRM) and its role in sustainable development. It specifically examines the application of RS and GIS in IRM across various resource management domains. The article stands out for its comprehensive coverage of the benefits, challenges, and future directions of this integrated approach.

The continuous escalation of social risks has exacerbated the challenges faced by aging urban communities. In this context, resilience building emerges as a critical approach, offering new perspectives and innovative solutions to address these issues. This paper applies the theories of risk society and resilience governance to establish an analytical framework for resilience governance, specifically examining the current status of resilience construction within the Jin Guang Men community in Xi’an. The findings indicate that resilience building within these aging urban communities is hindered by issues such as weak grassroots governance, deficient repair mechanisms, inadequate infrastructure, and a slow pace of information technology adoption. To effectively manage social risks, it is imperative to strengthen party leadership in governance, enhance community self-repair capacities, upgrade infrastructure, and accelerate the application of information technology. These measures are essential for bolstering the risk management capabilities of aging urban communities.

Purpose: There have been many studies on corporate social responsibility. Still, research on the dual relationship showing the impact of management control on corporate social responsibility and business performance has not been exciting researchers. The article also identifies and measures the elements of management control that affect compliance with corporate social responsibility and business performance. At the same time, the paper also analyzes the influence of compliance with corporate social responsibility on business performance. From the research results, listed companies will see the importance of designing management control and complying with corporate social responsibility to maximize the business’s profits. Findings: The article demonstrates the practicality of institutional theory in the relationship between management control, corporate social responsibility, and business performance. Institutional theory influences the relationship between management control, CSR, and business performance by highlighting the role of external institutional pressures, legitimacy, and conformity to societal norms. Companies that strategically integrate institutional expectations into their management control systems can enhance their CSR efforts, improve their reputation, and contribute to better business performance. Methodology: We collect data on 195 manufacturing enterprises listed on the Vietnam stock market in 6 sectors. This study’s main data analysis method is the structural equation modeling method (SEM). The article used AMOS software to evaluate and measure the influence of each factor. Practical implications: The article has analyzed five aspects of management control to corporate social responsibility and business performance: Size of the Board of Directors (BOD), percentage of independent members in the BOD, and concurrence. CEO and Chairman of the Board of Directors, state ownership ratio and foreign shareholder ownership rate. The results show that a company with a CEO who is not the Chairman of the BOD will have a higher level of CSR compliance than a company with a CEO who is also the Chairman of the BOD. The larger the Board size, the higher the level of CSR, but This has not been verified for the company’s business performance. The higher the foreign ownership ratio, the better the CSR compliance; however, this has the opposite direction for the state ownership rate. The higher the percentage of independent members on the Board of Directors, the lower the level of CSR compliance. In terms of impact on business performance in the enterprise: The higher the company’s compliance with corporate social responsibility, the better it’s business performance. A company with a CEO who holds the position of BOD will have lower business performance than companies with a CEO who does not hold the position of Chairman of the Board of Directors. Companies with a high percentage of state ownership will have lower business performance. The higher the percentage of independent members on the Board of Directors, the lower the business performance. Originality: This attests that the research paper I submitted is the result of my original and independent work. I have duly acknowledged all sources from which the ideas and quotations have been obtained. The project does not contain any plagiarism and has not been sent elsewhere for publication.