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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.

Sustainable management practices are crucial environmental initiatives implemented by manufacturing organisations to mitigate growing social and ecological problems and progress operational and economic successes. The theory of constraints highlights the essence of adopting sustainability practices, including green management, lean management, top management commitment and reverse logistics, to address production constraints and achieve manufacturing performance. However, more empirical evidence is required to determine whether sustainability practices affect manufacturing performance metrics in economies like Ghana. This research establishes whether adopting sustainable management practices impacts manufacturers’ operational and sustainable performance.

This deductive research adopts an explanatory research design. Survey data was administered to 285 managers in 5,329 manufacturing businesses in Ghana. The data was processed and analysed with SmartPLS4.1 and structural equation modelling.

Green management and top management commitment positively predict the performance aspects of manufacturing organisations in Ghana. Also, reverse logistics and lean management practices improve firms’ operational, social and environmental performance, except for economic performance. It is concluded that manufacturing businesses that embrace sustainable management practices can improve their performance.

Although the study’s objectives were primarily achieved, it was geographically restricted to Ghana, a developing country. Also, it was carried out within the boundaries of explanatory design and structural equation modelling.

It provides comprehensive information to assist owner-managers in prioritising heavy investments in appropriate sustainable management practices. It will also encourage them to develop a sustainability culture within their firms and supply chains to fast-track and sustain the adopted practices. These measures will enable manufacturing organisations to effectively handle growing sustainability problems to leverage their sustainable and operational performance.

This study analyses the interplay between sustainable management practices and manufacturing performance dimensions in a developing economy. Hence, the outcomes would serve as valuable guidelines for selecting relevant practices to foster sustainable production and meet performance objectives.

This paper presents the particle swarm optimization (PSO) algorithm in conjuction with the fuzzy logic method in order to achieve an optimized tuning of a proportional integral derivative controller (PID) in the DTC control loops of dual star induction motor (DSIM). The fuzzy controller is insensitive to parametric variations, however, with the PSO-based optimization approach we obtain a judicious choice of the gains to make the system more robust. According to Matlab simulation, the results demonstrate that the hybrid DTC of DSIM improves the speed loop response, ensures the system stability, reduces the steady state error and enhances the rising time. Moreover, with this controller, the disturbances do not affect the motor performances.