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This paper aims to examine the COVID-19 pandemic’s impacts on the regional progression toward the Sustainable Development Goals (SDGs) through the lens of the adoption of 2030 Agenda by firms from different Italian regions.

Mixed methods were adopted. First, a content analysis was performed on 330 nonfinancial declarations released in the 2019–2021 period by a sample of 110 Italian listed companies from different regional macroareas. Second, regression analyses were run to test the impact of regional localization of businesses on SDGs adoption over pre-/during/post-COVID era.

The regional localization of businesses does not affect the SDGs adoption in the pre-COVID-19 era because Italian firms mainly address social goals. Instead, SDGs adoption is affected by regional localization of businesses both during and post-COVID-19 age, when Northern firms prioritize economic and social goals, whereas Southern firms shift from social to environmental goals.

This study fills the need of considering the subnational specificities in literature on sustainable development by capturing connections between firms, belonging territory, SDGs and COVID-19 crisis.

The purpose of this paper is to provide comprehensive mapping of qualitative comparative analysis (QCA) applications in business and management research and to examine the sub-fields of corporate governance research in this context.

Through a systematic literature review of 22 articles, the paper describes and analyses how QCA is used in the corporate governance field, what can be learned from the methodology’s implementation in corporate governance studies and why authors justify its use.

The findings highlight that QCA in corporate governance is still at an early stage of development. The paper encourages governance scholars to use this method to transform QCA from a niche into a mainstream method because it is appropriate for understanding both complex phenomena of social reality and issues of corporate governance that require an approach able to capture configurations of conditions, asymmetric patterns and equifinal explanations.

This is the first complete overview of the existing literature concerning QCA’s application in corporate governance research and reveals implications for its future use. In this way, it extends the previous work on QCA’s benefits to management researchers and other critical reviews of applications in QCA. This study encourages scholars to renew their understanding of corporate governance issues through a new analysis method that can help to discover conceptual and empirical relations among case-oriented and variable-oriented analyses in terms of interrelations to examine corporate governance practices holistically.

The purpose of this paper is to identify and empirically examine the dynamic capabilities (DC) that drive the development of digital manufacturing capabilities (DMC) and the role of DMC in mediating their influence on firm performance.

Based on the dynamic capabilities view (DCV) of the firm, the authors develop a set of hypotheses that are tested through a survey of 110 managers in the manufacturing sector. The hypothesized model is tested through structural equation modeling.

The results indicate that although higher-order DC (HODC) have a strong influence on firm performance, their effects are partially mediated by the DMC that they generate, by positively affecting the extended production process.

The analysis contributes to a better understanding of the interplay between levels of the DC hierarchy by finding that DMC play an important role in translating HODC into enhanced firm performance.

By complementing the DCV with the disruptive innovation theory in a specific fast changing context, this study introduces a new construct (DMC) providing an original and considerable contribution to the literature. To the best of the authors’ knowledge, it is the first empirical study that includes and assesses all these elements together in the context of the manufacturing industry.

This study aims to contribute to international doctrine by testing how environmental social governance (ESG) pillars can affect marketing performance in the pharmaceutical industry.

The authors follow a pioneering approach, using a fuzzy-set qualitative comparative analysis and data from the largest European listed companies belonging to the pharmaceutical industry in 2019. Specifically, the authors contribute to international doctrine by testing how ESG pillars can affect marketing performance by presenting two configurational paths that may help to clarify not only the individual role of the pillars but also how their interrelationships predict marketing performance.

The results identify two different causal configurations that lead to higher marketing performance. These configurations allow us to think more carefully about the role of ESG pillars in the pharmaceutical sector. These results could help managers reflect upon and justify their choice to invest in specific ESG pillars, highlighting the importance of the governance pillar.

To the best of the authors’ knowledge, this study is the first to use configurational analysis to investigate combinations of ESG pillars that lead firms to achieve higher levels of marketing performance.

The purpose of this research is to identify the sustainable practices of luxury fashion brands through their communications via official reporting documents to classify practices used for communicating sustainability performance.

This research uses the qualitative content analysis of Global Reporting Initiative (GRI)-oriented sustainability reports to examine the sustainable practices of 31 companies within the top 100 global luxury brands.

The authors classify the sample into four clusters: sustainability driven, sustainability newcomers, sustainability potential and sustainability passive. Results indicate that companies in this sector are focused on the issue of sustainability even though there is a remarkable fragmentation in terms of practices.

The study contributes to a better understanding of sustainability reporting activities and approaches in the fashion luxury industry by describing best practices and the effect of sustainability in corporate communications.

Micro-municipalities are a widespread form of local government worldwide. However, research into micro-municipalities is often fragmented across various disciplines (e.g. public management, urban studies, etc.), limiting our understanding of the diverse influences impacting micro-municipal administration. Here, we review the literature on micro-municipalities and investigate the network relationships affecting their administration.

We performed a systematic literature review on micro-municipal administration. We adopted a network perspective for analysing the sample articles, which helps identify the multiple nodes that influence micro-municipalities’ administration, the drivers of relationships between the nodes, and the direction and flow of authority between these nodes.

We propose a network-based framework of micro-municipal administration that incorporates tailored interventions and support from higher government levels, adaptive stakeholder engagement, residents’ active participation, and responsive leadership.

This is the first systematic literature review of micro-municipalities and the first to propose a network-based framework for their effective governance.

The contemporary business environment is characterised by an increasing reliance on artificial intelligence, automation, optimisation, efficient communication and data-driven decision making. Based on the limited academic literature that examines the managerial perspective on enterprise chatbots, the paper aims to explore organisational needs and expectations for enterprise chatbots from a managerial perspective, assesses the relationship between managerial knowledge and managerial opinion regarding enterprise chatbots, and delivers a framework for integrating chatbots into the digital workforce.

The paper presents a quantitative design. An online, self-administered survey yielded 111 valid responses from managers in service and manufacturing organisations based on convenience and snowball sampling strategies. Given the nature of the data and the research questions, the research was conducted using principal component analysis, parallel analysis, correlation, internal consistency and difference in means tests.

This research explores the managerial perspective on enterprise chatbots from multiple perspectives (i.e., adoption, suitability, development requirements, benefits, barriers, performance and implications), presents a heat map of the average level of chatbot need across industries and business units, highlights the urgent need for education and training initiatives targeted at decision makers, and provides a strategic framework for successful chatbot implementation.

This study equips managers and practitioners dealing with enterprise chatbots with knowledge to effectively leverage the expected benefits of investing in this technology for their organisations. It offers direction for developers in designing chatbots that align with organisational expectations, capabilities and skills.

Insights for managers, researchers and chatbot developers are provided. The work complements the few academic studies that examine enterprise chatbots from a managerial perspective and enriches related commercial studies with more rigourous statistical analysis. The paper contributes to the ongoing discourse on decision-making in the context of technology development, integration and education.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Pursuing UN SDGs requires resources and commitment, which prior to the COVID-19 pandemic was growing and available. Following the pandemic, there is a growing call to reassess whether the SDGs can be achieved by 2030, or if the economic and social fall out from the pandemic means this is no longer achievable.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.