Lincoln International Business School, University of Lincoln, Brayford Way, Brayford Pool, Lincoln LN6 7TS, UK; Montpellier Business School, 2300 Avenue des Moulins, Montpellier, France.
Department of Administration, Federal University of São Carlos (UFSCar), Sorocaba, SP, Brazil.
Sci Total Environ. 2020 Jul 10;725:138177. doi: 10.1016/j.scitotenv.2020.138177. Epub 2020 Mar 31.
While the potential benefits of integrating digital technologies and supply chain management have been widely reported, less is known concerning the current state-of-the-art literature on big data-driven sustainable supply chains. Therefore, this study aims to systematise published studies which address the implications of big data for sustainable supply chain management. Through a systematic literature review, this work makes three significant contributions: (a) it provides an overview of extant literature on this topic in recent years; (b) it proposes seven gaps in the literature in order to foster future investigations on big data-driven sustainable supply chains; (c) it offers four lessons for business practitioners aiming to use big data for sustainable supply chain practices. These lessons suggest that: developing big data analytics capability has to become a business priority in order to effectively build competitive sustainable supply chains; big data has benefits for each of the dimensions of the triple-bottom-line in supply chains; the implementation of big data for sustainability in supply chains presents some challenges for firms; the development of complementary organizational capabilities is needed to overcome challenges and facilitate the benefits of big data technology for sustainable supply chain management.
虽然数字技术与供应链管理集成的潜在好处已被广泛报道,但对于大数据驱动的可持续供应链的最新文献研究却知之甚少。因此,本研究旨在对探讨大数据对可持续供应链管理影响的已发表研究进行系统梳理。通过系统文献回顾,本研究做出了三项重要贡献:(a)提供了近年来该主题的现有文献综述;(b)提出了文献中的七个空白领域,以促进未来对大数据驱动的可持续供应链的研究;(c)为旨在利用大数据进行可持续供应链实践的企业提供了四条经验教训。这些经验教训表明:为了有效构建具有竞争力的可持续供应链,发展大数据分析能力必须成为企业的首要任务;大数据对供应链三重底线的各个维度都有益处;大数据在供应链中的可持续性实施给企业带来了一些挑战;需要开发互补的组织能力,以克服挑战并为可持续供应链管理中的大数据技术带来的好处提供便利。