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Air pollution, particularly particulate matter (PM2.5) levels, was a significant focus at the COP26 summit. Rampant production practices and changing lifestyles contribute to the issue globally. China's rapid urbanization and reliance on fossil fuels significantly threaten global health sustainability. This study aims to evaluate China's environmental agenda and offer policy recommendations for achieving a green and clean environment. To accomplish this, the study assesses the crucial factors contributing to China's air pollution levels, focusing specifically on fine PM2.5 from 1975 to 2020. By implementing the ARDL bounds testing approach, the study confirmed a non‐linear relationship between per capita income and PM2.5, demonstrating an inverted U‐shaped curve with a turning point observed at a per capita income level of US$3030 in the short run. Furthermore, a positive correlation between these variables was detected in the long run. The study also revealed that rapid urbanization initially leads to increased PM2.5 concentrations, whereas it has a decreasing effect in the long term. To progress towards sustainable production and consumption, China has embraced efficient environmental technologies and increasing clean energy sources in its production mix. Leveraging these strategies, the country strives to achieve its decarbonization agenda and ensure a cleaner future. By conducting an ex ante analysis, this study identified ecological technologies, renewable energy demand and oil resource rents as critical influencers on China's air pollution levels over the next decade. The findings underscore the pressing need to embrace alternative energy sources, eco‐friendly technologies and resource conservation to tackle air pollution effectively and accomplish China's decarbonization objectives. It is imperative to prioritize adopting sustainable practices, ensuring a cleaner environment for current and future generations. [ABSTRACT FROM AUTHOR]

This study aims to give an econometric analysis of the energy sector employee's innovative work behavior (IWB) with the mediation function of knowledge sharing (KS) and is mainly focused on how Network Capability (NC) plays a significant role in promoting the performance of knowledge sharing in the energy sector, which guides toward IWB. Current research also investigates the role of digital innovation (DI) in moderating the linkage between NC and IWB. For data collection, the quantitative method and 578 questionnaires were used. To test the study hypothesis, a structural equation model and bootstrapping are used. The findings prove that NC has a positive impact on IWB. Furthermore, it has been established that KS acts as a mediator in establishing the connection between network capacity NC and IWB. The results of the moderation role confirm that Digital Innovation in the energy sector strengthens the relationship between NC and IWB. By examining the potential mediating function of the KS in the NC-IWB links, this project expands the body of previous data. Current research further contributes to the better perception of NC, KS, digital innovation, and innovative work behavior in the energy sector. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Attendance is critical to the success of any business or industry. As a result, most businesses and institutions require a system to track staff attendance. On the other hand, cloud computing technology is being utilized in the human resource management sector. It may be an excellent option for processing and storing large amounts of data and improving management effectiveness to a desirable level. Hence, this paper examines cloud infrastructures for employee attendance management in which the articles are categorized into three groups. The results show that cloud infrastructure has a significant and positive impact on the management of employee attendance systems. Also, the results reveal that the radio frequency identification authentication protocol protects the privacy of tags and readers against database memory. When references operate properly, they help the people concerned and society by making workplaces more efficient and safer. [ABSTRACT FROM AUTHOR]

In the current digital era, digital technologies develop and emerge rapidly, businesses, especially the electronic sector more connected to information technology, facing challenges in the terms of its technology infrastructure and tactical directions. That's why most of them adopt the latest digital technology (DT) and design novel business strategies and models. The growing significance of AI in the transformation of manufacturing operations and the demand for a thorough knowledge of the variables affecting its adoption serve as the driving forces behind the study. Several researchers have presented that digital technology can lead toward AI adoption. Though, previous studies lack an efficient transformation pathway. Therefore, this study establishes an inventive approach and aims to investigate the direct link between digital technology and AI adoption, the mediating function of knowledge sharing (KS) between them, and explore the moderating impact of privacy and security that assist in the acceleration of AI adoption in electronics manufacturing enterprises through the antecedent of digital technology. This study is quantitative in nature, random sampling method and questionnaire is used as a survey tool. Depending on 298 questionnaire data from electronic firms of Saudi Arabia, this study performs multi-level correlation and regression analysis to evaluate study hypotheses. Findings confirm that digital technology has a positive influence on AI adoption. In addition, outcomes corroborate that knowledge sharing mediates in the linkage between digital technology and AI adoption. The results also proved that privacy and security have a positive moderation impact on the association between digital technology and AI adoption. This study enlighten that the adoption of this framework enables electronic manufacturing companies to strategically integrate digital-technologies to promote effective AI adoption, increase its operational efficiency, and sustain a competitive advantage in the constantly evolving manufacturing landscape. The outcomes as well supplement the previous study on the linkage between digital technology and AI adoption, expand application space and theoretical boundary from the perspective of knowledge sharing, privacy and security at the managerial level, and give reference for AI adoption in, as electronics manufacturing firms. [ABSTRACT FROM AUTHOR]

This research aims to investigate how customer relationship management capabilities (CRMCs) improve customer engagement and innovation performance. Customer engagement is also tested as a mediator between CRM capabilities and innovation performance. Furthermore, the distrust moderating role was studied towards the relationship between CRMCs and customer engagement. Data were collected from 491 owner/managers of SMEs working in Saudi Arabia. The findings revealed that CRMCs positively predict customer engagement and innovation performance. Customer engagement directly affects innovation performance and acts as a mediator as well. In addition, the findings proved that distrust moderates on the link between CRMCs and customer engagement. This research adds to the marketing management theory and practices and highlighted the role of CRMCs in achieving innovation performance. It explored, considering the data base collected from SME owners and managers, the mechanism of innovation performance achievement through CRMCs and customer engagement. CRMC improvements allow businesses to have sustainable development and a better integration in the market. [ABSTRACT FROM AUTHOR]

The advancement of technology offers various opportunities for business organizations to achieve sustainable growth. Through emerging technologies, business organizations are able to collect and analyze essential information vital for the acceleration of innovation. Therefore, this study investigated how big data contribute to the innovation activities of manufacturing entrepreneurs in terms of big data analytic capability (BDAC). The aim of this study was to relate BDAC to organizational readiness and innovation performance (IP). Moreover, we examined the mediating role of organizational readiness between BDAC and IP. We also examined the strengthening role of digital orientation. To collect the study data, we approached 494 frontline managers of the manufacturing sector of Saudi Arabia. The collected data were analyzed using statistical techniques such as descriptive, correlation, and hierarchical regression techniques. We found that BDAC plays a vital role in developing organizational readiness and IP. The findings also proved that organizational readiness has a significant effect on IP. The results revealed that organizational readiness mediates between BDAC and IP. [ABSTRACT FROM AUTHOR]