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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 study aims to explore the direct and indirect relationships among the informal economy, innovation, entrepreneurial and initial public offering (IPO) activity.

This study uses an unbalanced sample of 30 countries over a 15-year period: 2000–2014. The proposed random-effects model is estimated using feasible generalized least squares with robust estimators of variance.

Entrepreneurial activity is positively related to IPO activity. The informal economy negatively moderates the relationships among entrepreneurship, innovation and IPOs.

IPOs are a stage in the entrepreneurial process susceptible of being influenced by country level factors. An appropriate understanding of these factors can contribute to discuss policies that improve the level of IPO activity.

The authors explore the understudied relationship of the informal economy and entrepreneurship. Although entrepreneurial activity can be higher in contexts with more informality, this relationship can turn sour in later stages since it lowers the probability of higher IPO activity by inhibiting formal entrepreneurship and innovation. Hence, the main contribution is to provide evidence of this “hangover” effect.

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.

This study aims to present a bibliometric analysis combined with a systematic review of the empirical literature to verify whether the relationship between the impact of eco-innovation and the financial performance of companies is corroborated.

This study uses bibliometric analysis and systematic review methods on 122 articles from Web of Science, Scopus and Science Direct, combining quantitative frequency and co-citation analysis with a qualitative exploration of themes in eco-innovation research.

In their research on eco-innovation, the authors found that there is a need to better understand the impact of eco-innovation on companies’ financial performance in the knowledge gaps.

Research on eco-innovation identifies knowledge gaps and directions for future studies exploring environmental strategies to boost corporate commitment to sustainability.

This study finds that eco-innovation is decisive for enhancing operational performance and understanding its effect on companies’ financial outcomes, offering perspectives on how environmental practices influence organizational finance.

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.