Utilising socio-technical system theory, this study explores the Total Quality Management 4.0 (TQM 4.0) framework on the integration of quality management principles and industry 4.0 tools. The systematic literature review technique was applied to 203 articles from the Web of Science database to establish a theoretical framework for TQM 4.0. After an indepth analysis of twenty key papers, twenty-one indicators for TQM 4.0 practices are proposed. Using the Pareto analysis, thirteen of the most important are identified. The research also explores the five major pillars of TQM 4.0, including technical elements, social elements, smart organisation, smart factory, and smart product. The study thoroughly understands TQM 4.0 and its related trending topics by employing a bibliometric technique to examine the publications' keywords. The result of the bibliometric analysis shows that TQM 4.0 research addresses not only issues associated with Industry 4.0 techniques, such as big data, artificial intelligence, and machine learning but also digital transformation, sustainability, and quality culture. Especially organisational performance has been a relatively recent topic of interest to TQM 4.0 researchers. The study provides a TQM 4.0 framework for scholars to conduct additional research and for practitioners to implement the TQM 4.0 to gain long-term sustainability, as well as provides an overview of the current TQM 4.0 and suggests possible future research trends in the TQM field.

The COVID-19 pandemic has forced many organizations to make an unprecedented shift to remote work, with virtual teams becoming an increasingly important tool for organizations to configure and manage team-based work. The way teams are configured has major implications for how individuals, teams, and organizations collect and contribute knowledge in order to innovate. By looking at team member diversity, this research paper examines the impact of different forms of diversity on the knowledge sharing processes and innovation output of virtual teams. Responses from 103 virtual team members based in the U.K. are used to assess the role of diversity inputs, on knowledge sharing processes and innovation output. Partial least squares structural equation modeling was employed to assess and validate the input-process-output model with statistically significant empirical results presented. Furthermore, the empirical results infer that knowledge sharing plays a critical role in mediating the role between diversity and innovation output in virtual team settings. Findings are discussed and implications are presented.

This study explores the critical role of boundary objects in the context of people-centred smart cities, a new paradigm in urban development that emphasises citizen participation in planning and decision-making. Boundary objects—artefacts, documents, or concepts that facilitate communication and collaboration across different knowledge domains—are increasingly recognized as essential tools in the complex, multi-stakeholder environment of urban governance. Despite extensive research on boundary objects in organizational contexts, their specific application in smart cities remains underexplored. This study addresses this gap by investigating how BOs, particularly collaborative tools and spaces, contribute to innovation, engagement, and knowledge-sharing in people-centred smart cities. Employing a Systematic Literature Review following the PRISMA protocol, this research synthesizes key insights from scholarly articles to comprehensively understand boundary objects' role in urban governance. This study offers a theoretical framework for leveraging boundary objects to enhance the inclusivity and sustainability of smart cities. It suggests avenues for future research, including empirical validation and exploration of boundary objects in diverse geographic and cultural contexts.

The aim of the study is to investigate the relationship between the spatial distribution of the selected medical equipment and the preventable mortality rate in the regions of the Slovak Republic. The main analytical approach is carried out through the cluster analysis based on a Euclidean distance technique in order to get similarity of the administrative divisions in form of a district and a pseudot2 approach aimed at the determination of a number of the districts in a cluster. A number of medical equipment had a rising tendency from the year 2008. The most extreme position according to a localisation distribution of the computed tomographs and the magnetic resonance imaging scanners is held by the Košice IV District at the level of 7.50630. From an angle of view of the preventable mortality, the Piešťany District holds the most extreme position peaking at the level of 10.97969 for the female sex and the Kežmarok District with the value of 9.44088. The study has the significant dissemination outputs for health policy interventions, especially to draw up regional health plans for computed tomography and magnetic resonance imaging deployment, mainly in locations with a high preventable mortality rate for both sexes.