发展中经济体的绿色制造、供应链警觉性、供应链准备和制造绩效

IF 7.3 2区 工程技术 Q1 ENGINEERING, INDUSTRIAL
Richard Kofi Opoku
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引用次数: 0

摘要

目的本研究分析了绿色制造(GM)与可持续绩效(SuP)(经济[EcP]、社会[SP]和环境[ENP])和运营绩效(OP)等制造绩效(MP)维度之间的联系,并以供应链警觉性(SCAL)和供应链准备性(SCP)作为中介。研究发现,GM、SCAL 和 SCP 能显著提高制造企业的运营和可持续绩效。此外,SCP 和 SCAL 部分调节了加纳(一个发展中经济体)制造企业的 GM-MP 相关性。此外,本文的研究对象是发展中经济体,特别是加纳的制造业企业。尽管存在局限性,但研究结果表明,制造企业如果优先考虑绿色制造实践、供应链准备和警觉性,就能在可持续发展和运营方面表现出色。 实际意义 这项研究为采用全球机制实践对 MP(SuP 和 OP)的重大贡献提供了新的见解。此外,它还倡导对 GM、SCAL 和 SCP 进行更多投资,以确保在当今极具破坏性的制造环境中实现可持续发展,从而实现卓越的制造绩效。本研究为政策制定者、行业参与者和供应链从业者提供了相关指导,帮助他们在整个生产流程中采用 GM,以实现制造绩效目标。 社会影响 通过倡导绿色等可持续制造实践,本研究有助于更清洁的环境、资源保护,并最终实现更可持续的未来。向生态友好型生产方法的转变可以影响公众对制造业的态度,并促进具有环保意识的实践。原创性/价值本研究的原创性在于研究了 SCAL 和 SCP 对发展中经济体制造业的 GM-MP 关系所起的中介作用,在发展中经济体中,环境可持续性和供应链中断正成为人们关注的主要问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Green manufacturing, supply chain alertness, supply chain preparedness and manufacturing performance in a developing economy

Purpose

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.

Design/methodology/approach

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

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Social implications

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.

Originality/value

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.

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来源期刊
Journal of Manufacturing Technology Management
Journal of Manufacturing Technology Management Engineering-Control and Systems Engineering
CiteScore
16.30
自引率
7.90%
发文量
45
期刊介绍: The Journal of Manufacturing Technology Management (JMTM) aspires to be the premier destination for impactful manufacturing-related research. JMTM provides comprehensive international coverage of topics pertaining to the management of manufacturing technology, focusing on bridging theoretical advancements with practical applications to enhance manufacturing practices. JMTM seeks articles grounded in empirical evidence, such as surveys, case studies, and action research, to ensure relevance and applicability. All submissions should include a thorough literature review to contextualize the study within the field and clearly demonstrate how the research contributes significantly and originally by comparing and contrasting its findings with existing knowledge. Articles should directly address management of manufacturing technology and offer insights with broad applicability.
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