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This paper aims to study the influence of leisure-time physical activity on depression crises and the difficulty in performing light household tasks.

A population-based cross-sectional study was conducted using data from the 2020 European Health Survey in Spain. A total of 1,076 individuals diagnosed with depression were selected. ANOVA, chi-square, Fisher’s exact test and Mann–Whitney U test were applied, and a simple moderation analysis was conducted using the SPSS PROCESS 4.0 macro.

Women had higher percentages of some or much difficulty in performing domestic activities (p = 0.007). Differences were found between experiencing a crisis in the past 12 months versus not having one (p < 0.001): less physical activity was performed, perceived health was worse and difficulty in performing domestic activities increased. The moderation analysis confirmed the moderating effect of physical activity on the relationship between experiencing a crisis and having difficulty with domestic activities (p = 0.017).

The usual limitation of descriptive cross-sectional studies, which cannot establish causal relationships, must be added to low sample sizes in some categories.

The analysis with gender differentiation, promoting gender-specific adapted practices, considering age and personal circumstances of the patient, appropriate exercise prescription, as well as its evaluation and follow-up, are areas where specialist nurses need to delve deeper to enhance the quality of care.

Leisure-time physical activity moderates the relationship between experiencing a crisis and having difficulty with light household tasks: those who engage in occasional physical activity have less difficulty compared to those who do not engage in it.

This study is exploratory in nature and designed to address poorly documented issues in the literature. The dimensions of regional distribution or spatial organisation of Industry 4.0 (I4.0), including the potential role of clusters, have only recently been addressed, with most available studies focusing on advanced, mainly Western European countries. Although developing fast, the literature on I4.0 in other countries, such as the Central and Eastern European or post-transition economies like Poland, needs to pay more attention to the spatial distribution or geographical and organisational aspects. In response to the identified knowledge gap, this paper aims to identify the role of clusters in the transformation towards I4.0. This explains why clusters may matter for advancing the fourth digital transformation, how advanced in implementing I4.0 solutions are the residents of Polish clusters and how they perceive the advantages of cluster membership for such implementation. Finally, it seeks to formulate policy recommendations based on the evidence gathered.

The methodology used in this study combines quantitative analysis of secondary data from a cluster benchmarking survey with a case study approach. The benchmarking survey, conducted by the polish agency for enterprise development in 2021, gathered responses from 435 cluster members and 41 cluster managers, representing an estimated 57% of the current clusters in Poland. In addition to quantitative analysis, a case study approach was used, incorporating primary sources such as interview with cluster managers and surveys of cluster members, as well as secondary sources like company documents and information from cluster organisation websites. Statistical analysis involved assessing the relationship between technology implementation and the adoption of management systems, as well as exploring potential correlations between technology use and company characteristics such as revenue, export revenue share and number of employees using Pearson correlation coefficient.

In Poland, implementing I4.0 technologies by cluster companies is still modest. The cluster has influenced the use of I4.0 technologies in 23% of surveyed companies. Every second surveyed company declared a positive impact of a cluster on technological advancement. The use of I4.0 technologies is not correlated with the revenue of clustered companies. A rather bleak picture emerges from the results, revealing a need for more interest among cluster members in advancing I4.0 technologies. This may be due to a comfortable situation in which firms still enjoy alternative competitive advantages that do not force them to seek new advanced advantages brought about by I4.0. It also reflects the sober approach and awareness of associated high costs and necessary investments, which are paramount and prevent successful I4.0 implementation.

The limitations inherent in this study reflect the scarcity of the available data. This paper draws on the elementary survey administered centrally and is confined by the type of questions asked. The empirical section focuses on an important, though only one selected sector of the economy – the automotive industry. Nevertheless, the diagnosis of the Polish cluster’s role in advancing I4.0 should complement the existing literature.

The exploratory study concludes with policy recommendations and sets the stage for more detailed studies. Amidst the research’s limitations, this study pioneers a path for future comprehensive investigations, enabling a deeper understanding of Polish clusters’ maturity in I4.0 adoption. By comparing the authors’ analysis of the Polish Automotive Group (PGM) cluster with existing literature, the authors uncover a distinct disparity between the theoretical prominence of cluster catalysis and the current Polish reality. Future detailed dedicated enquiries will address these constraints and provide a more comprehensive map of Polish clusters’ I4.0 maturity.

This study identifies patterns of I4.0 implementation and diagnoses the role of clusters in the transformation towards I4.0. It investigates how advanced is the adoption of I4.0 solutions among the residents of Polish clusters and how they perceive the advantages of cluster membership for such transformation. Special attention was paid to the analysis of the automotive sector. Comparing the conclusions drawn from the analysis of the Polish PGM cluster in this case study to those from the literature on the subject, it becomes clear that the catalytic role of clusters in the implementation of I4.0 technologies by enterprises, as emphasised in the literature, is not yet fully reflected in the Polish reality.

The research aims to explore the relationships between the digital capabilities of micro, small and medium enterprises (MSMEs), their participation in global value chains and their adoption of innovative business models. Additionally, the study investigates how the prior experiences of entrepreneurial failure may influence or moderate these relationships.

To address these research objectives, the study draws upon data obtained from the Flash Eurobarometer 486 survey, a comprehensive dataset that explores the challenges faced by 13,197 European MSMEs as they navigate the complexities of growth, the integration of sustainable business models and the incorporation of digital technologies. To test the proposed hypotheses, the research employs multivariate logistic regression analysis.

Digital capabilities are found to be positively associated with business model innovation, while integration into global value chains is linked to a higher likelihood of implementing new business models. Interestingly, entrepreneurial failure did not significantly influence the relationship between digital capabilities and the adoption of new business models. In contrast, entrepreneurial failure significantly moderated the impact of global value chain inclusion on business model innovation, particularly in MSMEs with a history of failure.

This article provides practical guidance to entrepreneurs and companies interested in enhancing their digital strategies and engagement in global value chains, considering the entrepreneurs' business histories.

The purpose of this study is to analyse the background and consequences of the Spanish job market on the employment conditions of Spanish women and on underlying attitudes on gender role in the working environment.

From the European Social Survey (2004, 2008, 2010, 2016), the authors draw a sample of 3,706 individuals aged from 25 to 64 years old living in Spain. The sample allows the authors to make estimations from several aggregation levels depending on gender (men and women) and generational cohort (baby boom and X generation).

Education improves the perception of women’s work among both men and women. The role of education is especially interesting for older people. Educational levels help women adapt to a changing context, promote female participation in the job market and protect them from unemployment situations. This study demonstrates that both gender and generational cohort moderate the impact of education on gender labour attitudes and working status.

Finally, this work is not exempt from limitations. For example, the use of cross sections does not allow the authors to obtain a richer set of causal relationships than the use of panel data would allow them. In addition, it would be interesting to replicate the study of gender labour attitudes among human resource managers and workers to have a broader view of what happens within companies.

The main contribution to the state of the art is to demonstrate that both gender and generational cohort moderate the impact of education on gender labour attitudes and working status. In addition, this study analyses whether gender labour attitudes change throughout the economic cycles, because population characteristics change (endowment effect) and/or because the same characteristics have different impacts (coefficient effect).

The rise of the coronavirus disease 2019 (COVID-19) pandemic has enabled researchers and industry professionals to reinvent their strategies for basic economic understanding. Two years after the outbreak of the pandemic, businesses are now trying to adapt to the impact it has brought, hoping to receive support as it did in the past. However, before this feat can be accomplished, it is imperative to understand the recovery hurdles created by the pandemic. This research aims to fill the literature gaps by examining the challenges during recovery within the creative small and medium-sized enterprise (SME) industry, as there are few relevant studies that focus on this field.

Through a methodical bibliometric literature review and network analysis, the paper intends to critically explore relevant recovery challenges within the field while providing answers to the appropriate research questions. A total of 43 articles were selected for an in-depth review. Using the analysis from the selected articles as a guide, a framework was developed to address the recovery challenges alongside the recommended propositions.

The findings from this paper suggest that a lack of synergy among four major categories (governmental, supply chain, organizational and stakeholders) contributes to recovery challenges within the field of research.

The review also offers clarification in understanding the current and upcoming trends within the creative industry, SMEs and COVID-19. This paper can thus help researchers, industry practitioners and managers discover and analyze the recovery challenges brought about by the COVID-19 pandemic.