Digitally-enabled sustainable supply chains in the 21st century : A review and a research agenda
Copyright © 2020 Elsevier B.V. All rights reserved..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:725 |
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| Enthalten in: |
The Science of the total environment - 725(2020) vom: 10. Juli, Seite 138177 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Chiappetta Jabbour, Charbel Jose [VerfasserIn] |
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| Links: |
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| Themen: |
Big data analytics |
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| Anmerkungen: |
Date Completed 27.05.2020 Date Revised 27.05.2020 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1016/j.scitotenv.2020.138177 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM308876415 |
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| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a Copyright © 2020 Elsevier B.V. All rights reserved. | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Big data analytics | |
| 650 | 4 | |a Circular economy | |
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| 650 | 4 | |a Sustainable supply chain management | |
| 700 | 1 | |a Fiorini, Paula De Camargo |e verfasserin |4 aut | |
| 700 | 1 | |a Ndubisi, Nelson Oly |e verfasserin |4 aut | |
| 700 | 1 | |a Queiroz, Maciel M |e verfasserin |4 aut | |
| 700 | 1 | |a Piato, Éderson Luiz |e verfasserin |4 aut | |
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