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Available. Open Access. Open Access
Article
Publication date: 7 May 2024

Sheak Salman, Hasin Md. Muhtasim Taqi, S.M. Shafaat Akhter Nur, Usama Awan and Syed Mithun Ali

This study aims to address the critical challenge of implementing lean manufacturing (LM) in emerging economies, where sustainability complexities on the production floor hinder…

760

Abstract

Purpose

This study aims to address the critical challenge of implementing lean manufacturing (LM) in emerging economies, where sustainability complexities on the production floor hinder production efficiency and the transition towards a circular economy (CE). Addressing a gap in existing research, the paper introduces a path analysis model to systematically identify, prioritize and overcome LM implementation barriers, aiming to enhance performance through strategic removal.

Design/methodology/approach

The authors used a mixed-method approach, combining empirical survey data with literature reviews to pinpoint key LM barriers. Using the grey-based Decision-Making Trial and Evaluation Laboratory (DEMATEL) along with the Network Knowledge (NK) method, they mapped causal relationships and barrier intensities. This formed the basis for developing a path simulation algorithm, integrating heuristic considerations for practical decision-making.

Findings

This analysis reveals that the primary barriers to LM adoption is the negative perception and inadequate understanding of lean tools and CE principles. The study provides a strategic framework for managers, offering new insights into barrier prioritization and overcoming strategies to facilitate successful LM adoption.

Research limitations/implications

This research provides a strategic pathway for overcoming LM implementation barriers, empowering managers in emerging economies to enhance sustainability and competitive advantage through LM and CE integration. It emphasizes the significance of structured barrier management in the manufacturing sector.

Originality/value

This research pioneers a systematic exploration of LM implementation barriers in the CE context, making a significant contribution to the literature. It identifies, evaluates barriers and proposes a practical model for overcoming them, enriching sustainable manufacturing practices in emerging markets.

Details

Journal of Responsible Production and Consumption, vol. 1 no. 1
Type: Research Article
ISSN: 2977-0114

Keywords

Available. Open Access. Open Access
Article
Publication date: 6 February 2024

Ana Junça Silva and Rosa Rodrigues

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…

3718

Abstract

Purpose

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.

Design/methodology/approach

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

Findings

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.

Research limitations/implications

The cross-sectional design is a limitation.

Practical implications

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

Originality/value

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

Details

International Journal of Organizational Analysis, vol. 32 no. 11
Type: Research Article
ISSN: 1934-8835

Keywords

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