Additive manufacturing in the apparel supply chain — impact on supply chain governance and social sustainability

供应链 持续性 业务 公司治理 社会可持续性 独创性 产业组织 德尔菲法 供应链管理 利益相关者 采购 营销 经济 定性研究 统计 管理 社会学 生物 社会科学 数学 生态学 财务
作者
Marlene M. Hohn,Christian F. Durach
出处
期刊:International Journal of Operations & Production Management [Emerald Publishing Limited]
卷期号:41 (7): 1035-1059 被引量:65
标识
DOI:10.1108/ijopm-09-2020-0654
摘要

Purpose Focusing on the apparel industry, this study extends current knowledge on how additive manufacturing (AM) may impact global supply chains regarding structures of interorganizational governance and the industry's social-sustainability issues. Design/methodology/approach Following an exploratory research design, two consecutive Delphi studies, with three survey rounds each, were conducted to carve out future industry scenarios and assess AM's impact on supply chain governance and social sustainability. Findings The implementation of AM is posited to reinforce existing supply chain governance structures that are dominated by powerful apparel retailers. Retailers are expected to use the increased production speed and heightened market competition to enforce faster fashion cycles and lower purchasing prices, providing a grim outlook for future working conditions at the production stage. Social implications Against the common narrative that technological progress increases societal well-being, this study finds that new digital technologies may, in fact, amplify rather than improve existing social-sustainability issues in contemporary production systems. Originality/value This article contributes to the nascent research field of AM's supply chain impact as one of the first empirical studies to analyze how AM introduction may impact on interorganizational governance while specifically addressing potential social-sustainability implications. The developed propositions relate to and extend the resource dependence and stakeholder perspectives on governance and social sustainability in supply chains. For managers, our results enrich the discussion about the potential use of AM beyond operational viability to include considerations on the wider implications for supply chains and the prevailing working conditions within them.

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