| Literature DB >> 32302825 |
Charbel Jose Chiappetta Jabbour1, Paula De Camargo Fiorini2, Nelson Oly Ndubisi3, Maciel M Queiroz4, Éderson Luiz Piato5.
Abstract
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.Keywords: Big data analytics; Circular economy; Digital; Industry 4.0; Sustainable supply chain management
Year: 2020 PMID: 32302825 DOI: 10.1016/j.scitotenv.2020.138177
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963