This paper aimed to systematically review the papers on how GIS can be leveraged for sustainable urban development and related to quality of life.Google Scholar was searched to identify papers, and 25 papers were selected using the PRISMA flow process.The main points of each paper along with four parameters of quality were tabulated.Overall, the results of this review showed that many papers have discussed the role and integration of geospatial information which implies the use of GIS in many ways and contexts.Many of these papers included factors related to quality of life, some of them not using the term.Based on all observations, it can be concluded that GIS can be leveraged for a data-driven approach for sustainable urban development and enhancing Urban Quality of Life.Some limitations of this review have been mentioned in the end.

The quality management system of the digital agroindustrial complex has its specifics connected with the features of the agricultural production processes and problems farmers have to solve, given the risks peculiar to the sector.Accordingly, universal digital technological solutions are not always compatible with the systems of quality management of farms.The high level of accounting of these sectoral specifics is the basis for ensuring high parameters of the quality of agricultural products and raising or retaining yield and environmental sustainability.Growth of yield and parameters of quality determines the possibilities for raising the food security of countries and different areas.Formation of food security is a factor in the development of the agro-industrial sector, while another factor, directly connected with the first one, is the level of digitalisation of processes.In this paper, we analyse digital models of quality management systems of the participants of the digital agro-industrial complex in the selected developed countries.We reveal a range of digital models used by the leading participants of the agrarian market, namely the model of technological support of the open type, the model of production and technological support, and the network technological model.The analysis showed that each model has its advantages and specific features.The effectiveness of their application is predetermined by the high level of integration into the agro-industrial market of territories in which economic activities are conducted, and given the stakeholders' interests.The goal of this paper was to establish the directions for ensuring food security in the system of quality management in the digital agro-industrial complex of various countries of the world.To achieve this goal, we used the method of induction, comparative analysis, and context analysis.The scientific novelty of this research is due to revealing the specifics of the digital models of the digital agro-industrial complex participants in various countries, which contribute to the sectoral development.

This research explores the intricate relationships between corporate governance, economic sustainability, and firm performance within large Saudi Arabian companies.By employing a structured survey targeting senior management, this study investigates the role of corporate governance in fostering sustainable practices and enhancing business outcomes.The findings highlight a positive correlation between robust governance structures and improved firm performance, aligning with agency and resource dependency theories.Additionally, the study demonstrates that effective governance significantly influences economic sustainability, promoting quality practices like sustainable supply chain management and waste reduction.Despite these advancements, challenges such as cultural resistance and regulatory constraints persist, highlighting areas for strategic improvement.This research contributes to the understanding of corporate governance's impact on sustainability and performance, offering insights applicable to both academic and practical applications in the Saudi and broader global context.

Hospitality, which to this day still lacks a clear and unified definition, is often divided by the (non-)commercial aspect concerning the perception of the concept.A social practice beyond the tourism activity itself is an important component of gastronomic diplomacy.It is increasingly used today to raise the image, international recognition and differentiation of a given national entity in the (tourism) world.A clearer definition of the concept is also needed in the case of food diplomacy, as the core meaning is different from that of similar terms, such as culinary diplomacy.The methodological framework for exploring the embeddedness and connectivity of (non-)commercial hospitality with a specific food diplomacy form consists of the autoethnographic method, conducted on the case of the hospitableness symbol in an Arabic-speaking country, which, in conjunction with the theoretical literature review and personal observations and experiences, served as a basis for the creation of a system diagram in the field of soft system of system thinking.

This article aims to study the impact of digital transformation on the business processes of international companies, analyse the main trends and challenges that arise in implementing digital technologies, and assess their impact on financial analysis and management of enterprises in the digital economy.General scientific methods of cognition, such as the analysis of literary sources, methods of generalisation, and systematisation, were used to form the theoretical basis of the researched issue.Case analysis allowed for identifying practical aspects of digital transformation, and the results of a SWOT analysis revealed vital success factors and strategic directions.The application of SNW analysis, based on the expert assessment method, contributed to determining the relevance of digital transformation trends in business processes.The analysis indicates that digital solutions help companies respond effectively to challenges, increasing business processes' flexibility, speed, and accuracy.Integrating digital technologies improves competitiveness and customer interaction and optimises internal operations.

The purpose of the study is to conduct an analysis of the main methods of cleaning gas turbine emissions and the analysis of ensuring the efficient operation of the selective catalytic reduction system.There was calculation of the required catalyst volume and reagent consumption made to ensure the efficient operation of the selective catalytic reduction system.According to the results obtained, it can be concluded that as the Low-Pressure Turbine Gas Pumping Unit rotational speed increases, the purification efficiency increases when ammonium hydroxide is used as a reagent and decreases when carbamide is used as a reagent.The efficiency of cleaning off gases from nitrogen oxides was obtained when using the Selective Catalytic Reduction system in a mode from 0.5 to the nominal operating mode for all types of reagent.

The paper explores the intersection of accessibility, hospitality, and the rights of people with disabilities in the tourism environment.It employs a mixed methodological approach, including literature review, document analysis, expert interviews, statistical data analysis, and system dynamics modelling, to shed light on the challenges and opportunities in accessible tourism.The study underscores the need to foster inclusive environments in tourism, drawing on Aristotle's concept of equity, which advocates for the fair and equitable distribution of resources and opportunities as the basis for creating good for others.The built CLD model, a testament to the enduring relevance of classical human values in the context of eudaemonia-quality of life and tourism, presents solutions for a future of human systems thinking where equal opportunities, the overall tourism experience, the experience of people with disabilities, and the quality of life are significantly improved.

This research analyses the impact of HRM practices on service quality in customer-facing businesses. A systematic review was conducted using Google Scholar as the search engine, and search terms such as "HRM practices", "Service quality", and "Customer-facing business" were used to identify relevant papers. The inclusion and exclusion criteria were documented using the PRISMA flow diagram, and a total of 30 papers were included in the review. The findings indicate that HR practices focused on equipping employees with social skills in customer-facing encounters have a positive impact on customer perceptions of quality and satisfaction. However, certain HR and external factors may moderate this relationship. These trends were observed across all sectors of organisations. The study also found that the majority of papers were published between 2009-2014, with a recent increase in publications. The UK and the USA are the top countries as data sources, and most papers were research-based and used survey methods. Limited use of theories was also observed in the included reviews. The research also attempts to use the average number of citations per year as a measure of paper quality, acknowledging certain limitations in this approach. Overall, the findings highlight the importance of HRM practices in improving service quality in customer-facing businesses and the need for more research in this area.

Learning analytics (LA) is a rapidly growing area of research that focuses on using data from learning technologies to improve the quality of students' outcomes. This paper aims to provide a comprehensive understanding of the current state of research on learning analytics technologies and how they can positively impact student outcomes. To achieve this, a systematic review using a PRISMA methodology was conducted. Inclusion and exclusion criteria were applied to select relevant papers, resulting in a final set of 31 papers for analysis. The identified papers were then organised and analysed. The findings show that the use of learning analytics has many benefits for both learners and instructors. However, its adoption by higher educational institutions has been slow and limited due to a lack of resources, funding, and skills. Four systematic reviews on the topic have been conducted, but they do not reveal any significant changes in the status of research and practice over the years. The analysed papers highlight the use of learning analytics for predicting student learning behaviours and identifying at-risk students who may benefit from targeted interventions. These interventions have been shown to improve students' academic performance and retention rates. Furthermore, learning analytics has also been used for technology enhanced learning and to improve overall academic outcomes for students. Moving forward, it is crucial to focus on overcoming the barriers to adoption that hinder the widespread use of learning analytics in higher education. Additionally, exploring alternative options beyond the traditional dashboard-based approach could offer new insights and improve the overall effectiveness of learning analytics systems. This research has implications for universities, learning staff and students.