Analysis of green manufacturing attributes through partial least square structural equation modelling

Q4 Engineering
Jasvinder Singh, Chandan Deep Singh, Dharmpal Deepak
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引用次数: 0

Abstract

With the rise of industrialisation and globalisation, manufacturing industries are under pressure to integrate more eco-friendly manufacturing techniques into their operations. As per literature, there are huge requirement to consider such factors which drive the green manufacturing (GM) implementation in manufacturing sectors. Therefore, in the present work, GM implementation factors are identified and modelled them in context of the Indian manufacturing industries. The data related to GM implementation factors was collected by sharing online questionnaire with the industry experts and professionals. The collected data have been analysed through partial least squares structural equation modelling (PLS-SEM). The result of study reveals that GM implementation issues, organisational style, role of legislation (RoL) in promoting GM and eco knowledge (EcoK) are the main factors that influence the 'GM implementation'. The present work influences the industrial manager and practitioners to construct smart policies and guidelines for GM adoption in the core businesses.
利用偏最小二乘结构方程模型分析绿色制造属性
随着工业化和全球化的兴起,制造业面临着将更环保的制造技术融入其运营的压力。根据文献,有巨大的需求考虑这些因素,推动绿色制造(GM)在制造业的实施。因此,在目前的工作中,转基因实施因素被确定并在印度制造业的背景下建模。通过与行业专家和专业人员共享在线问卷,收集与转基因实施因素相关的数据。通过偏最小二乘结构方程模型(PLS-SEM)对收集到的数据进行了分析。研究结果表明,转基因实施问题、组织风格、立法在促进转基因中的作用和生态知识(EcoK)是影响“转基因实施”的主要因素。本文的研究影响了行业管理者和从业者为核心业务采用通用汽车制定明智的政策和指导方针。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Internet Manufacturing and Services
International Journal of Internet Manufacturing and Services Engineering-Industrial and Manufacturing Engineering
CiteScore
0.70
自引率
0.00%
发文量
7
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