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This study examines the direct influence of participatory leadership (PL) and supportive organisational culture (SOC) on employee job satisfaction (JC). Additionally, the research delves into the mediating role of work-life balance in the relationship between PL, SOC, and job satisfaction. Data was collected using 450 questionnaires through random sampling from hotels managing food security in Saudi Arabia. These findings indicate a direct correlation between participatory leadership, supportive organisational culture, and job satisfaction. Furthermore, work-life balance was found to mediate the relationship between PL, SOC, and job satisfaction. Given the importance of a supportive organisational culture for robustness, this study suggests that hotels, particularly those managing food security in Saudi Arabia, should prioritise fostering a supportive culture. They should also encourage democratic leadership and formulate strategies to help employees achieve work-life balance (WLB), leading to enhanced job satisfaction., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

The current work aims to analyze the main themes related to artificial intelligence (AI) and sustainable development during the pandemic period. This study provides an overview of the specialized literature related to AI and sustainability from the beginning of the pandemic through 2023. The present paper analyses scientific literature emphasizing both artificial intelligence's positive and negative impacts on sustainable development objectives (SDGs). To conduct the research, we employed bibliometric analysis and text-mining techniques to identify the major themes in the literature indexed in the Web of Science and Scopus databases. Firstly, we used descriptive measures to identify the authors' impact, the article production by country, the main keywords used, and other descriptive data. We further used data reduction methods based on co-word analysis (such as multiple correspondence analysis) on authors' keywords to show patterns in the themes explored in the literature. Bibliometric analysis was supplemented by text mining using Latent Dirichlet allocation (LDA) and structural topic modeling on abstracts to provide a comprehensive view of scientific debates on AI and sustainable development. Our research has identified various themes in the literature related to AI and sustainable development. These themes include social sustainability, health-related issues, AI technologies for energy efficiency, sustainability in industry and innovation, IoT technologies for smart and sustainable cities, urban planning, technologies for education and knowledge production, and the impact of technologies on SDGs. We also found that there is a significant positivity bias in the literature when discussing the impact of AI on sustainable development. Despite acknowledging certain risks, the literature tends to focus on the potential benefits of AI across various sectors. In addition, the analysis shows a growing emphasis on energy efficiency, which is facilitated by the use of AI technologies. Our study contributes to a better understanding of current scholarly discussion trends and emerging scientific avenues regarding AI and sustainable development. It also highlights the areas where research is needed and the implications for practitioners and policymakers., Competing Interests: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Nastasa Anamaria reports financial support was provided by Ministry of Research, Innovation and Digitalization. Teodora-Catalina Dumitra reports financial support was provided by Ministry of Research, Innovation and Digitalization. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors. Published by Elsevier Ltd.)

R&D intensity, per capita GDP, and per capita CO2 emissions links in the USA over the period of 1870-2020 reflects the evolution of the economic development and technology for the environment benefit. Using Time varying Granger causality, the empirical results indicate both causal links between R&D intensity and per capita CO2 emissions and between per capita GDP and per capita CO2 emissions are time varying. In addition, R&D intensity significantly affects per capita CO2 emissions since 1975, and the per capita GDP significantly influences per capita CO2 emissions since 1978. That is, these findings not only in supportive of the EKC theory, but further disentangle the subtly linkages for the R&D intensity and CO2 emissions and the per capita GDP and CO2 emissions. Finally, the policy implication is that launch the new technical innovation and increase in R&D investment to maintain its sustainable economic growth are the best government strategy to reduce CO2 emissions in the USA., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 The Authors. Published by Elsevier Ltd.)

Innovation requires creativity, risk-taking, and the ability to manage change effectively, all of which are closely linked to emotional intelligence. Individuals with high levels of emotional intelligence are more flexible, adaptable, and resilient in technological advancements and are better able to respond effectively to new challenges and opportunities. Thus, this study aims to recognize the significant role of emotional intelligence, along with the mediation of innovative work behavior (IWB) and the moderation role of cultural intelligence in the attainment of innovation performance. This is quantitative research and for data collection, a questionnaire was used in healthcare institutions. The result shows that emotional intelligence is an antecedent of innovation performance. The finding also proved that IWB mediates the linkage between emotional intelligence and innovation performance. In addition, the outcomes show that cultural intelligence strengthens the relationship between emotional intelligence and innovation performance. However, the current dynamic business world has created an urgency to understand the linkage between the employee's emotional intelligence and employee innovative performance, particularly taking into consideration the mediation effect of IWB. Emotional intelligence and innovation are closely linked, and innovative work behavior connects this link in a stronger way. This study offered a unique framework for achieving innovation performance through the nexus of emotional intelligence, innovative work behavior, and cultural intelligence.

Health crises across the globe bring dramatic changes to the lives of individuals and organizations. These crises have some psychological effects on society. The COVID-19 pandemic also caused some serious problems for individual and organizational life. Globally, the COVID-19 situation precipitated various economic and psychological issues that are far-reaching and exceptional. Health crises are increasing following the occurrence of COVID-19 due to its psychological effects on individuals worldwide. The current study highlighted the impact of COVID-19 fear on mental well-being (MWB). Most studies have examined the MWB of nursing staff and related their MWB to psychological factors. Few studies have considered the health crisis factors that are important in terms of bringing about variation in the MWB of nursing staff. Nursing staff MWB is impacted by various health crises (including COVID-19) at the global level and it has been ignored by researchers. In this study, a list of 1940 healthcare units with 6758 nursing staff was obtained. A total of 822 nurses were selected with the help of random sampling. The collected data were analyzed using correlation analysis, SPSS (statistical package for social sciences) version 23, and SEM. Thus, in this study we examined the effect of a health crisis (i.e., COVID-19) fear on the MWB of nurses. Moreover, we also examined the extent to which perceived stress (PS) influences the link between COVID-19 fear and MWB. The study's findings confirmed that COVID-19 fear shown negative effect on MWB, while PS mediated the link between COVID-19 fear and MWB.