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This study investigates the relationship between women’s networks perceptions and job satisfaction. It also examines the mediating effects of perceived organizational support (POS) for women’s work contributions on the relationship between networks perceptions and job satisfaction.

The participants are female employees working in Scotland (n = 247). The data were collected using a survey questionnaire. PROCESS macro (model 4, Hayes, 2018) was used to test the proposed model.

The results revealed that (controlling for work time, age and sector) there is a significant relationship between women’s networks perceptions and job satisfaction. In addition, POS for women’s work contribution mediates the relationship between networks perceptions and job satisfaction. These findings show the significant effects of networks perceptions on employees’ job, satisfaction directly and through POS for women’s work contributions. Therefore, understanding the networks perceptions of employees and organizational factors will assist in improving job satisfaction.

This study is unique for examining the role of POS for women’s work contribution in the relationship between employees’ networks perceptions and job satisfaction. It addresses gender inequality in the workplace in terms of women’s career advancement and job satisfaction. In addition, this research offers insight into the development of a seven-item measurement scale related to networks perceptions.

The study aims to determine the impact of sustainable manufacturing on environmental performance through government regulation and eco-innovation in Indonesian small and medium-sized enterprises (SMEs).

The results indicate sustainable manufacturing plays a significant role in SMEs' environmental performance and regulations, and eco-innovation can moderate it. It also reveals that government regulation has a positive and significant effect on environmental performance. Moreover, eco-innovation has a positive and significant effect on environmental performance.

The findings of this study indicate that SMEs can embrace sustainable manufacturing practices and achieve their long-term sustainability goals by adhering to regulations, collaborating with stakeholders and implementing eco-friendly innovations.

This research uncovers ground-breaking perspectives on the evolution of scientific knowledge about the impact of eco-innovation, regulatory measures and sustainable manufacturing practices on the environmental performance of SMEs.

Smart grid is an integration between traditional electricity grid and communication systems and networks. Providing reliable services and functions is a critical challenge for the success and diffusion of smart grids that needs to be addressed. The purpose of this study is to determine the critical criteria that affect smart grid reliability from the perspective of users and investigate the role big data plays in smart grid reliability.

This study presents a model to investigate and identify criteria that influence smart grid reliability from the perspective of users. The model consists of 12 sub-criteria covering big data management, communication system and system characteristics aspects. Multi-criteria decision-making approach is applied to analyze data and prioritize the criteria using the fuzzy analytic hierarchy process based on the triangular fuzzy numbers. Data was collected from 16 experts in the fields of smart grid and Internet of things.

The results show that the “Big Data Management” criterion has a significant impact on smart grid reliability followed by the “System Characteristics” criterion. The “Data Analytics” and the “Data Visualization” were ranked as the most influential sub-criteria on smart grid reliability. Moreover, sensitivity analysis has been applied to investigate the stability and robustness of results. The findings of this paper provide useful implications for academicians, engineers, policymakers and many other smart grid stakeholders.

The users are not expected to actively participate in smart grid and its services without understanding their perceptions on smart grid reliability. Very few works have studied smart grid reliability from the perspective of users. This study attempts to fill this considerable gap in literature by proposing a fuzzy model to prioritize smart grid reliability criteria.