2015
DOI: 10.12660/joscmv8n1p88-97
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Drivers for implementing environmental requirements – An international explorative study in manufacturing

Abstract: ABSTRACT:Manufacturing companies need to respond to a sustainable development in view of the limitations of planet Earth. This paper explores driving forces for environmentally driven change by gathering interview data from 27 manufacturing plants in Europe and America. A proposed model connects external change triggers with required change actions within organizations.

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Cited by 2 publications
(2 citation statements)
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“…Although, in this research, the two companies are competitors, they still have issues in common; among them, the most important issues include satisfying customer demand, promoting innovations, efficient resource allocation, and cost reduction. If change is not handled in an adequate way, there is a possibility that the change process will not achieve the expected objectives [37], and the change request process should be carried out in a transversal way [38].…”
Section: Change Management and Company Performancementioning
confidence: 99%
“…Although, in this research, the two companies are competitors, they still have issues in common; among them, the most important issues include satisfying customer demand, promoting innovations, efficient resource allocation, and cost reduction. If change is not handled in an adequate way, there is a possibility that the change process will not achieve the expected objectives [37], and the change request process should be carried out in a transversal way [38].…”
Section: Change Management and Company Performancementioning
confidence: 99%
“…To meet this requirement, eco-design tools are adopted in product development. However, there are several features revealed about these tools: a great deal of data is required; because they are configured and applied in a stand-alone system, it is not appropriate to integrate the other design software used in the product generation process; and they are generated for various goals, so the heterogeneity among tools is obvious (Hu et al , 2019; Sannö et al , 2015; Vásquez et al , 2018).…”
Section: Introductionmentioning
confidence: 99%