The combination of smart technologies, such as the Internet of Things (IoT) and Building Information Modelling (BIM), however, has become the disruptive approach to improve sustainability in project management, particularly in green construction projects. The objective of this study is to assess the effect of these technologies upon sustainability end points, specifically toward outcomes, including energy efficiency betterment, cost/waste reduction, and optimization of resources use. Based on the Resource-Based View (RBV) and Stakeholder Theory, the current study, for the first time, offers, a theoretical structure to explain how smart technologies relate to sustainability goals. Employing a mixed-method design, the present study obtained quantitative data with standardized questionnaires and qualitative data through semi-structured interviews. SPSS Statistics quantified the outcomes while qualitative data were coded with NVivo to establish relevant themes, for example energy efficiency and stakeholder satisfaction. Results show that IoT-based systems and BIM has a notable effect on project sustainability by providing real-time data for decision making, decreasing operational defaults, reduced environmental impact. This study makes a contribution to the sustainable management of the project literature by presenting the economic and environmental advantages of smart technologies. It also offers practical recommendations--e.g., policy frameworks and capacity-building programs--to facilitate the meta-scale introduction of these technologies. These observations are of great use to those working in the industry, the policy makers and researchers who are contributing to the development of sustainability in the construction industry.

This research employs a qualitative technique to examine the complexities of settlement risk in Lebanese banks against the backdrop of the country's volatile economic environment. This study explores many dimensions of settlement risk, including operational, regulatory, and market elements, through comprehensive interviews with five key personnel spanning from risk analysts to senior executives in the banking sector. Given the context of economic uncertainty, political upheaval, and strict international regulations, the banking industry in Lebanon has largely focused on identifying the underlying factors contributing to settlement risk. The respondents provided insight into the management strategies used to mitigate these risks and the ongoing challenges encountered by the banking industry. The findings suggest that Lebanese banks encounter specific obstacles, including but not limited to technology deficiencies, varied regulatory frameworks, and geopolitical volatility. The presence of a complicated risk environment is evident, but it is also apparent that there are internal measures in place to mitigate settlement risks. This study presents empirical data that might be valuable for policymakers, financial analysts, and academic academics to gain a deeper understanding of the intricate characteristics of settlement risk in Lebanese banks. The need to implement a comprehensive and cohesive risk management plan to safeguard the Lebanese financial system is emphasized.

Tanzanian Government, through its national audit office in March 2020, reported the prevalence decline of two animal diseases, namely; Foot and Mouth Disease (FMD) and Contagious Bovine Pleuropneumonia (CBPP). Similarly, an increase in three animal diseases, which are African Swine Fever (ASV), Contagious Caprine Pleuropneumonia (CCPP), and Lumpy Skin Disease (LSD). The national audit office mentioned inadequate animal disease surveillance system in the country was among the challenges that hinder diseases control. Therefore, this study reviews the existing animal diseases surveillance systems global and suggests measures to enhance animal diseases surveillance systems in Tanzania. This review focuses on the possibility of sharing surveillance data among livestock stakeholders (including livestock keepers) in Tanzania, considering available resources such as animal diseases existing prediction models and mobile-based surveillance systems. Also, the availability of mobile technologies such as Short Message Service (SMS), Unstructured Supplementary Service Data (USSD) and automatic voice calls (Robocalls). Reviews synthesize the previous studies to explore strengths, opportunities, weaknesses and challenges for better future interventions through proper and timely information sharing. This study selected 46 records from the 147 identified for review. The selected records include 24 from bibliographic databases, 14 from full-text journals and other non-bibliographic databases, and 8 from the open search on websites

This quantitative research study investigates the impact of risk management practices, particularly risk identification, on the financial performance and resilience of small and medium enterprises (SMEs) amid crisis situations, with a specific focus on the case of Lebanon. The research involves 283 respondents, consisting of SME owners, managers, and key decision-makers, and employs a structured questionnaire for data collection. The primary objectives of this research are to assess the extent to which SMEs in Lebanon implement risk management practices, examine the relationship between risk identification and financial performance, and determine the role of risk management in enhancing financial resilience during times of crisis. The study acknowledges the unique challenges faced by SMEs in Lebanon, given the recent economic and political crises that have significantly impacted the business environment. The research strategy includes the use of descriptive statistics, correlation analysis, multiple regression analysis, and hypothesis testing to analyze the collected data. Preliminary findings reveal the prevalence of risk management practices among Lebanese SMEs, with risk identification being a crucial component. The analysis aims to elucidate whether robust risk identification processes positively correlate with financial resilience and improved financial performance. The outcomes of this study have significant implications for SMEs in Lebanon, providing insights into the importance of effective risk management as a means to enhance financial resilience during crises. The results will assist SME owners and managers in making informed decisions regarding risk management strategies. Furthermore, policymakers and stakeholders will gain valuable insights into the role they can play in supporting SMEs in building financial resilience in challenging economic environments.

A Educação permanente em saúde (EPS) foi a linha de frente na pandemia, qualificando os profissionais mediante dispositivos eletrônicos e Tecnologias da Informação e Comunicação, reduzindo os agravos da pandemia. Esta pesquisa objetivou descrever quais ações de EPS oferecidas pelas plataformas de aprendizagem virtual foram produzidas no período pandêmico da COVID-19, no Brasil, em 2020 a 2021. Na metodologia, realizou-se pesquisa documental com abordagem quantitativa. Buscou-se documentos na plataforma de Aprendizagem (AVASUS), 2020 a 2021. Os dados quantitativos foram analisados por estatística descritiva. Os resultados demonstraram que os cursos oferecidos pelo AVASUS foram compatíveis com as necessidades dos profissionais de saúde e da população, considerando a pandemia. Portanto, a incorporação das tecnologias, como inovação pedagógica, garantiu o acesso, autonomia e propagação do conhecimento técnico-científico aos profissionais de saúde, durante a pandemia da COVID-19.

Public institutions in Brazil have undergone a major process of digitization of their procedures and services following the precepts of Industry 4.0. In this scenario, Instituto Feral da Rondônia - IFRO sought to increase its efficiency with the adoption of the Electronic Information System - SEI, adopted in 2017. The following investigation sought to know the perception of satisfaction of users of the system through the adapted application of the Model of Technology Acceptance (TAM). This is an exploratory investigation of a quantitative nature that sought to validate or reject hypotheses through the application of a questionnaire. The collected data showed that the various analyzed constructs had a positive relationship with each other, making it possible to validate all the research hypotheses. It was concluded that IFRO employees perceived the usefulness of the SEI and that this perception significantly influenced the intention to use the system and the quality, agility and planning of work in the institution.

The advancement of information technologies in the digital age has significantly impacted human activity and various professional fields, becoming increasingly prevalent in society. Over time, technology has profoundly transformed public accounting, enabling more efficient, effective, and optimized practices. Innovative tools, such as blockchain, artificial intelligence, and cloud computing, have emerged as key drivers of this evolution. This paper aims to analyze the impact of information technologies on the accounting practices of the Vila do Conde City Council, in Portugal. The study identifies the technological systems and the changes due to the Accounting Standardization System for Public Administrations (SNC-AP) and explores the advantages and challenges of these technologies. This qualitative research method uses interviews and documentary analysis. The findings reveal that while the council has already implemented systems such as Enterprise Resource Planning, there are opportunities to introduce more advanced accounting technologies. Issues such as budgetary constraints and cultural resistance to change influence the pace of technological implementation. However, the council has taken a proactive approach in other areas, focusing on service digitalization and community engagement. This study provides a valuable reference for other public entities looking to modernize their processes and enhance community services. Identifying challenges and barriers in implementing technology enables public administrations to anticipate issues and implement effective solutions.

The rapid evolution of cyber threats has rendered conventional security approaches inadequate for managing increasingly sophisticated risks. This study introduces a Quantum Machine Learning Cybersecurity Framework that leverages quantum computing and machine learning to enhance cybersecurity across multiple dimensions. The research employs a structured methodology, beginning with the integration of Quantum Key Distribution (QKD) for secure key exchange and progressing through the deployment of Quantum Neural Networks (QNN) and Quantum Support Vector Machines (QSVM) for anomaly detection and adversarial threat management. The framework also incorporates Quantum Reinforcement Learning (QRL) for autonomous incident response, a Quantum Authentication module for securing identity verification using biometric and behavioral data, and a Policy Compliance Interface powered by Quantum Compliance Analyzers for regulatory adherence. Experimental results demonstrated substantial improvements in cybersecurity metrics, including a 96% accuracy in threat detection, a 28% reduction in incident response time, and a 96% success rate in compliance simulations. These findings underscore the framework's capacity to offer adaptive, scalable, and efficient cybersecurity solutions tailored to modern challenges. This study provides a significant step toward integrating quantum technologies into practical cybersecurity applications, paving the way for future innovations in intelligent, secure, and adaptable defense systems.

The subject of sustainable tourism has been increasingly discussed in recent years because the complex connection between the environment and the economy has been acknowledged, and there is a pressing need for the integration of these two components, which means the foundation on the premises of a deep and lasting development, which generates a positive impact on society as a whole. According to the specialized literature, the paradigms in the tourism industry are changing. This shows what are the challenges facing the tourism sector today and requires special attention from the authorities and the economic agents involved, who must guide this industry towards a sustainable development in the future.Taking these findings as a starting point, we proposed for our research to highlight, in the first part, the role of tourism on the regional development and secondly the measurement of the impact of tourism, practiced intensively and extensively, on the environmental factors through a series of qualitative and quantitative indicators, highlighted the fact that the damage of the environment over time implicitly leads to the damage of the economic growth. The results of the research allowed us to formulate, in the conclusions part, several directions of action to be followed by regions with a well-developed economy as well as less developed ones, in order to boost tourism activity in the new context of respecting the environmental factor.

Reputation and recommending systems have been widely used in e-commerce, as well as online collaborative networks, P2P networks and many other contexts, in order to provide trust to the participants involved in the online interaction. Based on a reputation score, the e-commerce user feels a sense of security, leading the person to trust or not when buying or selling. However, these systems may give the user a false sense of security due to their gaps. This article discusses the limitations of the current reputation systems in terms of models to determine the reputation score of the users. We intend to contribute to the knowledge in this field by providing a systematic overview of the main types of attack and fraud found in those systems, proposing a novel framework of classification based on a matrix of attributes. We believe such a framework could help analyse new types of attacks and fraud. Our work was based on a systematic literature review methodology.