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Local governments (LGs) play a crucial role as policymakers and catalysts for change at the local level, making them well-positioned to connect the United Nations’ 2030 Agenda goals with local communities. Therefore, LGs should collect and analyze data to monitor progress toward the sustainable development goals (SDGs) and report on the outcomes. In this regard, webpages on the internet stand out as a valuable tool to enhance accountability in LGs and to promote stakeholder engagement with the community. Thus, this paper aims to analyze whether Portuguese municipalities disclose information regarding the SDGs on their websites, and to identify the main drivers of SDG web-reporting.

Drawing on the theoretical foundation of legitimacy theory, this study examines the relationship between SDG reporting and the characteristics of several municipalities (such as geographical location, municipality size, financial performance, political ideology and gender), as well as adherence to some programs/networks/platforms (such as CESOP_Local and ODSLocal). The websites of 306 Portuguese municipalities were analyzed using the content analysis technique. A bivariate and multivariate statistical analysis was applied.

Bivariate analysis shows that coastal, larger and financially efficient municipalities are more likely to disclose SDG information on their websites due to visibility and stakeholder pressure. Contrary to extant literature, left-wing municipalities are not necessarily more inclined to embrace the 2030 Agenda. However, the presence of women in decision-making bodies and adherence to networks and sustainable programs positively influence SDG disclosure. In multivariate analysis, logistic regression identifies two significant factors impacting online SDG disclosure: the representation of women in municipal plenaries; and adherence to the CESOP_local network. Other factors show no significant influence, highlighting these two variables as the main drivers for SDG information disclosure.

The findings are in line with the literature review and lead us to conclude that SDG reporting in LGs is still in its infancy. Therefore, policymakers and regulators need to work together to implement and standardize sustainability reporting within LGs.

Considering the significance of the gender variable, the findings could have implications for policy formulation, promoting gender diversity and its impact on the quality of SDG reporting.

Empirical research on SDG reporting remains limited, particularly within the context of LGs. To the best of the authors’ knowledge, no previous studies have delved into the reporting of SDGs specifically in this Portuguese context.

This paper aims to evaluate the measurement properties of the Employee Perception to Assess the Lean Implementation Tool (EPLIT) in the Brazilian hospital context.

A cross-sectional study was conducted in two Brazilian hospitals, adhering to COnsensus-based Standards for the selection of health Measurement Instruments (COSMIN) guidelines. Exploratory factor analysis (EFA) and Cronbach's alpha were used for construct validity and reliability.

The adapted tool comprises 27 items across five domains, explaining 63.3% of the variance. Cronbach's alpha ranged from 0.78 to 0.86, indicating satisfactory reliability.

Limitations include convenience sampling and exclusive use of EFA for validation. Future studies may employ Confirmatory Factor Analysis for further validation.

The tool aids healthcare managers in Brazil to systematically evaluate Lean implementation, contributing to process optimization and quality improvement.

Effective Lean implementation using the validated tool could lead to improved healthcare delivery and patient outcomes.

This is the first study to adapt and validate EPLIT for the Brazilian healthcare sector, offering a robust tool for managers and researchers.

This study aims to analyse the literature on the digital transformation of family businesses and the impact of artificial intelligence on this process, highlighting key areas of interest and future perspectives.

A bibliometric analysis is performed to explore the interconnection between variables and the relationships between authors, countries and journals in this research area. The Scopus database was used as of March 2024, and the data analysis was carried out with Bibliometrix for result analysis and VOSviewer for scientific mapping.

The analysis confirms the increasing relevance of the topic, with a high number of articles in 2023. Prominent journals are identified, and authors are mainly from China and Europe. Keywords “family business” and “family firms” are strongly linked, showing a connection to artificial intelligence and digital transformation. Family businesses are embracing the digital era, and research must respond accordingly.

This pioneering study offers a novel contribution, as no prior bibliometric analysis has addressed this topic. It lays the groundwork for future research, identifying emerging themes with significant future potential.

The focus of this research is to investigate if user-generated content (UGC) generated in the Booking platform can support quality management improvement within the hospitality industry by increasing customer satisfaction and eliminating defects more efficiently. Hence, it contributes to understanding how data-driven companies can rely on customer data to focus on innovation and performance improvement to meet customer requirements, eliminate defects and increase customer satisfaction.

Following the literature review, information was collected from the digital platform Booking, encompassing 15 hotel industry companies in Portugal Porto and Braga regions, selected due to their high number of customer reviews. This data was organized and categorized, eliminating all unnecessary information for the research and building an Excel database. The database was subsequently analysed with SPSS and Voyant software, performing statistical analysis, hypothesis testing and text-mining techniques to analyse the comments. After these analyses, applying quality tools allowed for more in-depth conclusions.

The research results highlight that customers' most relevant requirements in the Portuguese hospitality industry are breakfast, parking and a swimming pool. It was also possible to realize that the location is an attractive requirement, the bathroom is a must-be requirement and breakfast is a performance requirement. The results also allowed us to answer the most critical research question: “Is user-generated content a valuable aid to quality?” the answer is yes since it was possible to use the data to find improvements and faults/failures in the services.

The results of this study represent an essential step towards a complete understanding of how to take advantage of UGC within the hospitality industry by establishing a solid base of techniques, methods and quality tools for UGC analysis that can be applied in future research on different industry sectors.

Significant interest in Integrated Management Systems (IMS), as a key area within ISO-related Management System Standards (MSS) literature, has been evident from both academia and industry over the past three decades. This study aims to map the evolution and current state of IMS research and propose possible directions for future studies.

A comprehensive content and bibliometric analysis of 846 documents from the Scopus database across the period 1995 to 2023 was conducted. This included performance analysis to track publication trends and identify key contributors, and content analysis to specify dominant research methodologies and the MSS most commonly integrated. Furthermore, science mapping techniques—such as co-authorship networks, keyword co-occurrence analysis, and bibliographic coupling—were utilized to outline the collaborative networks and the conceptual and intellectual structure of the field.

The study identifies three principal IMS research themes: the practical implementation of IMS, their role in promoting sustainability and social responsibility, and their impact on continuous performance improvement. It also highlights the field’s evolution and key research constituents—including influential works, prolific authors, leading academic institutions and countries, and top publishing journals. It further reveals that IMS research exhibits strong collaboration across authors and countries, and a rich methodological plurality, notably with a marked increase in empirical surveys in recent years. Additionally, it identifies the most frequently referenced MSS for integration, prominently featuring ISO 9001, ISO 14001, and ISO 45001/OHSAS 18001.

This study is original in its application of a dual analytical approach—bibliometric and content analysis—to provide a holistic overview of IMS research. It offers new insights into the integration of diverse MSS and proposes several promising paths for future research. Among the most prominent are standardizing IMS fundamental specifications, conducting more empirical research with advanced methods to evaluate the effects of MSS integration, providing practical support for organizations in IMS implementation through tailored methodologies and tools, and exploring the potential of Industry 4.0 and 5.0 technologies to advance IMS practices.