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This study relied on the job demands and resource model to understand employees’ turnover intentions. Recent studies have consistently lent support for the significant association between role ambiguity and turnover intentions; however, only a handful of studies focused on examining the potential mediators in this association. The authors argued that role ambiguity positively influences turnover intentions through affective mechanisms: job involvement and satisfaction.

To test the model, a large sample of working adults participated (N = 505).

Structural equation modeling results showed that role ambiguity, job involvement and job satisfaction were significantly associated with turnover intentions. Moreover, a serial mediation was found among the variables: employees with low levels of role ambiguity tended to report higher job involvement, which further increased their satisfaction with the job and subsequently decreased their turnover intentions.

The cross-sectional design is a limitation.

Practical suggestions regarding how organizations can reduce employee turnover are discussed.

The findings provide support for theory-driven interventions to address developing the intention to stay at work among working adults.

This research analyses the linkages between green manufacturing (GM) and manufacturing performance (MP) dimensions comprising sustainable performance (SuP) (economic [EcP], social [SP] and environmental [ENP]) and operational performance (OP) with supply chain alertness (SCAL) and supply chain preparedness (SCP) as mediators.

This deductive-quantitative approach embraces the explanatory design. It analyses 285 datasets gathered from structured questionnaires via structural equation modelling.

The study found that GM, SCAL and SCP significantly improve manufacturing firms' operational and sustainable performance. Also, SCP and SCAL partially mediate the GM-MP correlations among manufacturing firms in Ghana, a developing economy.

The paper is limited to the quantitative methodologies given its relevance in examining causal relationships among constructs. Also, it was conducted within the scope of manufacturing firms in developing economies, specifically Ghana. Despite the limitations, the study's outcomes imply that manufacturing firms can perform well in sustainable and operational aspects if they prioritise green manufacturing practices, supply chain preparedness and alertness.

This research offers new insights into the significant contributions of adopting the GM practice to MP (SuP and OP). Also, it advocates for more investments into GM, SCAL and SCP to ensure sustainability in today's highly disruptive manufacturing environment, leading to superior manufacturing performance. The study provides relevant directions for policymakers, industry players and supply chain practitioners in adopting GM throughout their production processes to attain manufacturing performance targets.

By advocating for sustainable manufacturing practices like green, the study contributes to a cleaner environment, resource conservation, and ultimately, a more sustainable future. The shift towards eco-friendly production methods can influence public attitudes towards manufacturing and promote environmentally conscious practices.

The study's originality lies in examining the mediation roles of SCAL and SCP on the GM-MP nexus of manufacturing industries in a developing economy, where environmental sustainability and disruptions along supply chains are becoming major concerns.