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This work aims to assess the potential of a Bio-District as a model for applying the circular economy concerning the waste scope. It aims to understand the capability of organic farms to manage waste with a circular perspective, starting with the use of indicators that directly or indirectly impact the waste scope.

This study is based on previous work that identified and systematised the circular indicators of the agri-food sector within a dashboard. With this research as a basis, the indicators within the waste scope in the dashboard were extracted. Cross-linked indicators with an indirect connection to the waste scope were also systematised and tested in a case study. Primary and secondary data were used for the study. The primary data came from a semi-structured interview, and the secondary data were from official databases.

The work highlights two important results. The first allows the definition of a subclassification of indicators by product and organisation, extracting those with a cross-linked characteristic concerning the waste scope. Secondly, the indicators' application shows the farm's circular and waste valorisation potential within the Bio-District. The study also made it possible to test a new indicator, the “Potential Energy Biomass Recovery”, to measure the farm's potential to produce energy from waste.

This research proposes a new circular economy approach to evaluate waste management in the agri-food sector.

Satisfaction in the tourism sector is a highly sensitive subject, and customer satisfaction (CS) has a significant impact on the choice of destinations made by tourists and on the decision to recommend them to friends or acquaintances. The purpose of this paper is to give empirical evidence of the dimensions of service quality (technical, functional and company image (CI)) and their connections in the sector of thermal tourism. It also aims at investigating the CI, seeking to understand whether some of the technical and functional service quality variables play a role in determining it.

An empirical survey was conducted by administering a structured research questionnaire in order to collect all necessary data, which was then elaborated to test the hypotheses using factor and multiple regression analyses.

The results of the survey confirm the direct impact of service quality dimensions (technical, functional and CI) on CS also in the thermal sector when considered individually. Moreover, when the CI was analyzed further, relational quality was found to be dependent on thermal employees’ capabilities, abilities, trustworthiness, availability, etc. Finally, when considered together, functional service quality and CI have a stronger effect on CS than technical service quality.

The originality of the present research relies on the following: a further contribution to the so-called “European perspective” of service quality; the study of service quality dimensions (technical, functional and CI) in the thermal sector; and evidencing the link between thermal employee characteristics and the relational quality factor of the CI, demonstrating that many aspects of this construct need further empirical investigation, in the wellness sector.

The purpose of this paper is to present a systematic literature review to identify new avenues of research in line with the ongoing changes in quality and management required to firms, especially regarding customers.

This study uses a systematic review of the literature contained in the three databases Ebsco, JSTOR, and Springerlink and on the search engine Google Scholar.

An analysis of the literature identifies three different clusters of papers: “identification” papers, which show that customer focus has gained importance in recent times; “implementation” papers, which highlight that a general or shared model or scale to successfully implement total quality management (TQM) does not yet exist; and “impact-on-performance” papers, which show that few studies have considered the relationship between TQM and the issues of both marketing and performance, underlining the most significant gap in the TQM literature.

This study is limited by the small number of databases and search engines used and by the restricted number of keywords used in searching these sources.

This work highlights a gap in the existing research and thus an incomplete consideration of the interplay between management, marketing, and quality issues, all centered on customers and other stakeholders. Researchers and firms are thus advised to adopt a wider view that considers the role of the quality process to support the firm’s engagement of customers in activities that enhance both the customer role and customer satisfaction.

This study uses a systematic literature review to review all critical factors of TQM and identifies new research avenues and different approaches to implementing TQM, focusing on the central role that customers play in achieving firm success.

The purpose of this paper is to assess the level of total quality management (TQM) implementation in Palestinian governmental and non-governmental hospitals using the Malcolm Baldrige National Quality Award (MBNQA) framework.

The study is based on collecting data using a survey questionnaire that was designed according to the MBNQA criteria. In total, 363 questionnaires from governmental and non-governmental hospitals operating in Gaza Strip were analyzed to assess the level of TQM implementation level in all hospitals (governmental and non-governmental).

The main results of this study indicate that Palestinian hospitals operating in Gaza Strip perform at a relatively acceptable level. Comparing results shows that the performance of non-governmental hospitals is better with higher degree of TQM implementation than the governmental hospitals. Detailed analysis identifies improvement opportunities-related specific aspects of the human resources focus and the performance results.

Although this study has collected data from one Palestinian Territory, the Gaza Strip, it still identifies the critical factors and practices for TQM implementation within the Palestinian healthcare organizations to improve performance.

This paper suggests that business excellence models such as the MBNQA criteria can be used to assess the level of implementation of quality practices and identify the strengths and weaknesses to improve the quality of service delivery, processes, and performance of hospitals.

Despite the widespread use of TQM in the developed countries, little attention has been placed to implement and assess the quality initiatives by organizations in the developing countries and even fewer in low-income Arab countries (Aamer et al., 2017; Øvretveit and Al Serouri, 2006). In addition, a very few number of studies in reference to the assessment of TQM implementation in the Palestinian context, in general, and in healthcare organizations, in particular, highlight the need for this study. To move the field in that direction, the goal of this research was to assess the level of TQM implementation in the healthcare organizations (mainly hospitals) in Gaza Strip (one of the least fortunate areas of the Palestinian-occupied territories) where no prior similar research studies could be found. Therefore, this study contributes to filling this gap in the literature by providing empirical assessment of TQM level of implementation in Gaza Strip hospitals.

The purpose of this study is to propose a new mapping tool called Circular Value Stream Mapping (C-VSM) that combines Circular Economy principles with Lean tools to enhance sustainability performance in operations.

To develop the C-VSM tool, the researchers conducted a literature review and a focus group. The tool was then applied to two real case studies in the agri-food sector, specifically analyzing an artichoke and olive oil producer, to assess its validity and effectiveness.

The study introduces the Circular Resource Box (CRB) as a key innovation in the C-VSM tool. This visual representation effectively captures resource circularity and how resources and wastes are managed, making it easy to identify circularity in the production process. By combining qualitative and quantitative information with this visual representation, companies can identify improvement opportunities aligned with the CE.

The research is limited in scope as it focuses on the application of the C-VSM tool in the agri-food sector. Further research could explore its applicability in other industries and settings to understand its broader impact.

The C-VSM tool provides practical benefits to companies seeking to transition from linear to circular production processes. It enables practitioners to identify opportunities to reduce environmental impacts and optimize production operations in line with CE.

The introduction of the C-VSM tool is a novel approach that bridges the gap between Lean Manufacturing and CE concepts, advancing the understanding of how CE thinking can be effectively implemented in operations.

The purposes of this research are to study the theory and method of multi-attribute index system design and establish a set of systematic, standardized, scientific index systems for the design optimization and inspection process. The research may form the basis for a rational, comprehensive evaluation and provide the most effective way of improving the quality of management decision-making. It is of practical significance to improve the rationality and reliability of the index system and provide standardized, scientific reference standards and theoretical guidance for the design and construction of the index system.

Using modern methods such as complex networks and machine learning, a system for the quality diagnosis of index data and the classification and stratification of index systems is designed. This guarantees the quality of the index data, realizes the scientific classification and stratification of the index system, reduces the subjectivity and randomness of the design of the index system, enhances its objectivity and rationality and lays a solid foundation for the optimal design of the index system.

Based on the ideas of statistics, system theory, machine learning and data mining, the focus in the present research is on “data quality diagnosis” and “index classification and stratification” and clarifying the classification standards and data quality characteristics of index data; a data-quality diagnosis system of “data review – data cleaning – data conversion – data inspection” is established. Using a decision tree, explanatory structural model, cluster analysis, K-means clustering and other methods, classification and hierarchical method system of indicators is designed to reduce the redundancy of indicator data and improve the quality of the data used. Finally, the scientific and standardized classification and hierarchical design of the index system can be realized.

The innovative contributions and research value of the paper are reflected in three aspects. First, a method system for index data quality diagnosis is designed, and multi-source data fusion technology is adopted to ensure the quality of multi-source, heterogeneous and mixed-frequency data of the index system. The second is to design a systematic quality-inspection process for missing data based on the systematic thinking of the whole and the individual. Aiming at the accuracy, reliability, and feasibility of the patched data, a quality-inspection method of patched data based on inversion thought and a unified representation method of data fusion based on a tensor model are proposed. The third is to use the modern method of unsupervised learning to classify and stratify the index system, which reduces the subjectivity and randomness of the design of the index system and enhances its objectivity and rationality.

The future increase of chronic diseases in the world requires new challenges in the health domain to improve patients' care from the point of view of the organizational processes, clinical pathways and technological solutions of digital health. For this reason, the present paper aims to focus on the study and application of well-known clinical practices and efficient organizational approaches through an innovative model (TALIsMAn) to support new care process redesign and digitalization for chronic patients.

In addition to specific clinical models employed to manage chronic conditions such as the Population Health Management and Chronic Care Model, we introduce a Business Process Management methodology implementation supported by a set of e-health technologies, in order to manage Care Pathways (CPs) digitalization and procedures improvement.

This study shows that telemedicine services with advanced devices and technologies are not enough to provide significant changes in the healthcare sector if other key aspects such as health processes, organizational systems, interactions between actors and responsibilities are not considered and improved. Therefore, new clinical models and organizational approaches are necessary together with a deep technological change, otherwise, theoretical benefits given by telemedicine services, which often employ advanced Information and Communication Technology (ICT) systems and devices, may not be translated into effective enhancements. They are obtained not only through the implementation of single telemedicine services, but integrating them in a wider digital ecosystem, where clinicians are supported in different clinical steps they have to perform.

The present work defines a novel methodological framework based on organizational, clinical and technological innovation, in order to redesign the territorial care for people with chronic diseases. This innovative ecosystem applied in the Italian research project TALIsMAn is based on the concept of a continuum of care and digitalization of CPs supported by Business Process Management System and telemedicine services. The main goal is to organize the different socio-medical activities in a unique and integrated IT system that should be sustainable, scalable and replicable.