{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T11:12:37Z","timestamp":1777893157475,"version":"3.51.4"},"reference-count":143,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2023,1,13]],"date-time":"2023-01-13T00:00:00Z","timestamp":1673568000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>Smart technologies have dramatically improved environmental risk perception and altered the way organizations share knowledge and communicate. As a result of the increasing amount of data, there is a need for using business intelligence and data mining (DM) approaches to supply chain risk management. This paper proposes a novel environmental supply chain risk management (ESCRM) framework for Industry 4.0, supported by data mining (DM), to identify, assess, and mitigate environmental risks. Through a systematic literature review, this paper conceptualizes Industry 4.0 ESCRM using a DM framework by providing taxonomies for environmental risks, levels, consequences, and strategies to address them. This study proposes a comprehensive guide to systematically identify, gather, monitor, and assess environmental risk data from various sources. The DM framework helps identify environmental risk indicators, develop risk data warehouses, and elaborate a specific module for assessing environmental risks, all of which can generate useful insights for academics and practitioners.<\/jats:p>","DOI":"10.3390\/systems11010046","type":"journal-article","created":{"date-parts":[[2023,1,13]],"date-time":"2023-01-13T05:09:32Z","timestamp":1673586572000},"page":"46","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Environmental Supply Chain Risk Management for Industry 4.0: A Data Mining Framework and Research Agenda"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1224-3504","authenticated-orcid":false,"given":"Jamal","family":"El Baz","sequence":"first","affiliation":[{"name":"Management Digital, Innovation et Logistique (MADILOG), \u00c9cole Nationale de Commerce et de Gestion (ENCG), Ibn Zohr University, Agadir 80000, Morocco"}]},{"given":"Anass","family":"Cherrafi","sequence":"additional","affiliation":[{"name":"\u00c9cole Sup\u00e9rieure de Technologie de Safi (EST), Cadi Ayyad University, Safi 46000, Morocco"}]},{"given":"Abla Chaouni","family":"Benabdellah","sequence":"additional","affiliation":[{"name":"Rabat Business School, Universit\u00e9 Internationale de Rabat, Rabat 11100, Morocco"}]},{"given":"Kamar","family":"Zekhnini","sequence":"additional","affiliation":[{"name":"\u00c9cole Nationale Sup\u00e9rieure d\u2019Arts et M\u00e9tiers (ENSAM), Moulay Ismail University, Meknes 50000, Morocco"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3735-6831","authenticated-orcid":false,"given":"Jean Noel","family":"Beka Be Nguema","sequence":"additional","affiliation":[{"name":"Rabat Business School, Universit\u00e9 Internationale de Rabat, Rabat 11100, Morocco"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2877-1264","authenticated-orcid":false,"given":"Ridha","family":"Derrouiche","sequence":"additional","affiliation":[{"name":"E.M. Strasbourg Business School, Humanis, 67000 Strasbourg, France"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.ijpe.2016.09.008","article-title":"Supply chain capabilities, risks, and resilience","volume":"184","author":"Brusset","year":"2017","journal-title":"Int. J. Prod. Econ."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Gurtu, A., and Johny, J. (2021). Supply Chain Risk Management: Literature Review. Risks, 9.","DOI":"10.3390\/risks9010016"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1108\/09600030410545463","article-title":"Ericsson\u2019s proactive supply chain risk management approach after a serious sub-supplier accident","volume":"34","author":"Norrman","year":"2004","journal-title":"Int. J. Phys. Distrib. Logist. 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