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This study investigated the in-role and extra-role performance of male and female teachers. Multigroup Analysis is applied to the unique combination of independent variable time pressures, mediating variable psychological empowerment and dependent variable teacher in-role and extra-role performance.

The reason for employing a distinctive methodology is because of male and female characteristics. In addition, data were gathered during COVID-19 using convenient sampling techniques from male and female teachers working in Pakistani higher education institutions.

The results showed that time has a significant impact on how well male and female teachers do their jobs. According to the gendered characteristics, psychological empowerment significantly intervenes between time pressure and teacher performance. Furthermore, the result provides policymakers with guidelines while assigning the task to teachers.

This article highlighted the issues of performance under time pressure imposed by an educational institution's employer and developed the mechanism for effective and efficient policies to improve the performance of teachers.

Under the lens of the cognitive theory of load, this study contributes to the literature on time pressure, psychological empowerment and teacher performance by introducing a novel concept and novel research framework.

This study conducts a meta-analysis to investigate the impact of board diversity, independence and size on carbon emission disclosure.

The results of 22 empirical investigations on the association between board qualities and carbon emission disclosure are synthesised using a meta-analysis approach. Inclusion and exclusion criteria are established, and search strategies are devised to locate relevant material. Data extraction entails gathering important information such as the names of the authors, variables and correlation coefficients. Fisher's z-transformation is used to compute and synthesise effect sizes and assumptions, sensitivity testing and subgroup analysis are performed to assess the robustness of the findings.

A substantial association was discovered between board characteristics and carbon emission disclosure. Board independence and gender diversity revealed small to medium-strength positive relationships, whilst board size had a medium-strength positive correlation. The study periods varied from 2011 to 2022, with 2018 having the most studies. However, highly heterogeneous groups were discovered; further subgroup analyses were then carried out to sort out this issue.

Several limitations were recognised due to the limited number of studies and heterogeneity, although subgroup analysis was used to reduce the influence of heterogeneity. To investigate alternate outcomes, more analysis of the heterogeneity level and potential modifications to the model assumptions may be required.

Companies should consider board size, independence and gender diversity when formulating long-term competitive strategies in the climate change movement. These characteristics can aid in bridging information gaps and garnering stakeholder support for carbon-reduction initiatives.

This meta-analysis addresses a gap in the literature by addressing prior studies' conflicting and inconsistent findings on the association between board characteristics and carbon emission disclosure. It employs a rigorous approach and synthesis strategy to provide a thorough and robust understanding of the crucial role of board characteristics in carbon emission disclosure.

Given their capacity to generate knowledge, universities can be the primary external source of knowledge and innovation for companies. Despite studies on the potential drivers of open innovation, the actors involved in these projects beyond academics and the most effective practices that universities follow for successful university–industry collaborations remain unclear. This study aims to identify the enablers and best practices universities follow to contribute to successful university–industry open innovation results, providing a conceptual framework for the management of such initiatives.

Articles from peer-reviewed academic journals identified in the Scopus and Web of Science databases were researched in this scoping review. The review used descriptive and thematic analyses and focused on 93 articles published between 2013 and 2023 that analysed universities’ enablers and practices for knowledge transfer to the industry.

Organisational factors, stakeholder attitudes, infrastructure, and external factors facilitate knowledge transfer from universities to companies. The most effective practices for promoting innovation are related to project management, policies and incentives and are relational and educational. Performance results can be evaluated through quantitative and qualitative indicators, measured at the different phases of the innovation process, considering the impacts achieved.

Previous reviews have focused on barriers, researchers’ motivations or specific enablers. The enablers and practices identified were analysed with a systemic vision, considering the university as a unit of analysis. This study suggests a comprehensive conceptual framework for the successful management of university–industry open innovation.

This paper aims to show the possibilities of implementing the idea of sustainability in the context of energy transformation using the concept of an industrial cluster. The implementation of the idea of sustainability is of particular importance from the perspective of the functioning of the meta-organisations involved in the implementation and promotion of decarbonisation processes. Industrial clusters, as collective actors initiating collective actions and providing complex governance structures, seem to have a great fit with regard to the needs of disseminating and implementing the idea of sustainable development, also in conjunction with energy development.

Empirical evidence is derived from a case study of Mazovia Clustes ICT (MC ICT). Based on the experience of this cluster, this study wants to show the evolution of the industrial cluster through the prism of its growing activity in supporting energy transition. The authors conducted the research in the period 2022–2023 using in-depth personal interviews and an analysis of the secondary data. The primary technique for data analysis and interpretation was conventional qualitative content analysis.

As a result of this study, the authors have distinguished three main areas of cluster activity covering the strategic, operational/project and institutional levels. Within the first area, the cluster’s efforts focused on the development of a strategy and involvement in lobbying and co-legislating. The second area refers to the cluster’s activity in the carrying out of national and transnational projects on the creation and implementation of various energy solutions. The activities undertaken in the third area include support for the development of start-ups in the field of energy and involvement in the launch of an energy cluster and the development of distributed energy in Poland. Although the strategic and operational/project levels are characterised by a commonality of activities and goals, there is additionally a commonality of interests at the institutional level.

This paper has its limitations, which primarily relate to the small research sample (the choice of a case study as the main research strategy) and the methods used (qualitative research). Therefore, it is impossible to generalise the results to the entire population of clusters.

This paper has considerable practical value, as the results of this study may be relevant for public authorities interested in implementing energy transition through industrial clusters. The activities described can also be a source of inspiration for other clusters interested in shaping pro-environmental attitudes.

The cluster’s activities are closely linked to the three pillars of sustainable development, including the social pillar. The solutions developed within the cluster in the context of energy development are aimed not only at increasing energy efficiency and protecting the environment but also at broader social welfare.

This paper makes an additional contribution to the state-of-the-art of the industrial cluster concept by linking it to the idea of sustainable development, in the context of energy transformation. In addition, it sheds new light on issues related to cluster co-operation, combining the case of the industrial cluster with the very fresh and as yet poorly described idea of the energy cluster.

The primary objective of this study is to consolidate the fragmented body of scholarly literature pertaining to developing entrepreneurial ecosystems, with the intent of determining prospective avenues of inquiry.

The analysis included a longitudinal distribution by category of journals with most recommendations, articles with most citations and the total number of recommendations. In addition, the authors presented a thorough explanation of the recommendations grouped by categories.

This study generated a framework that provides a comprehensive understanding of research on recommendations for the development of entrepreneurial ecosystems. The framework identified 74 recommendations in the fields of policy, support, culture, human capital, market and finance. The results indicated that the domain of recommendations for the entrepreneurial ecosystem is still in its infancy.

This study contributes to research on entrepreneurial ecosystems by focusing on recommendations for their development. The resulting framework can be used by policymakers to develop entrepreneurial ecosystems and by researchers in future studies.