{"title":"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","authors":"Richard Kofi Opoku","doi":"10.1108/jmtm-02-2024-0105","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>This deductive-quantitative approach embraces the explanatory design. It analyses 285 datasets gathered from structured questionnaires via structural equation modelling.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Research limitations/implications</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Social implications</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>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.</p><!--/ Abstract__block -->","PeriodicalId":16301,"journal":{"name":"Journal of Manufacturing Technology Management","volume":"60 1","pages":""},"PeriodicalIF":7.3000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Green manufacturing, supply chain alertness, supply chain preparedness and manufacturing performance in a developing economy\",\"authors\":\"Richard Kofi Opoku\",\"doi\":\"10.1108/jmtm-02-2024-0105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>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.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>This deductive-quantitative approach embraces the explanatory design. It analyses 285 datasets gathered from structured questionnaires via structural equation modelling.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>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.</p><!--/ Abstract__block -->\\n<h3>Research limitations/implications</h3>\\n<p>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.</p><!--/ Abstract__block -->\\n<h3>Practical implications</h3>\\n<p>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.</p><!--/ Abstract__block -->\\n<h3>Social implications</h3>\\n<p>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.</p><!--/ Abstract__block -->\\n<h3>Originality/value</h3>\\n<p>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.</p><!--/ Abstract__block -->\",\"PeriodicalId\":16301,\"journal\":{\"name\":\"Journal of Manufacturing Technology Management\",\"volume\":\"60 1\",\"pages\":\"\"},\"PeriodicalIF\":7.3000,\"publicationDate\":\"2024-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Manufacturing Technology Management\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1108/jmtm-02-2024-0105\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Manufacturing Technology Management","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1108/jmtm-02-2024-0105","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
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.
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.