{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T03:08:22Z","timestamp":1785208102231,"version":"3.55.0"},"reference-count":60,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2021,6,22]],"date-time":"2021-06-22T00:00:00Z","timestamp":1624320000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JEIM"],"published-print":{"date-parts":[[2022,3,14]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>The benefits of artificial intelligence (AI) related technologies for manufacturing firms are well recognized, however, there is a lack of industrial AI (I-AI) maturity models to enable companies to understand where they are and plan where they should go. The purpose of this study is to propose a comprehensive maturity model in order to help manufacturing firms assess their performance in the I-AI journey, shed lights on future improvement, and eventually realize their smart manufacturing visions.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>This study is based on (1) a systematic review of literature on assessing I-AI-related technologies to identify relevant measured indicators in the maturity model, and (2) semi-structured interviews with domain experts to determine maturity levels of the established model.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The I-AI maturity model developed in this study includes two main dimensions, namely \u201cIndustry\u201d and \u201cArtificial Intelligence\u201d, together with 12 first-level indicators and 35 second-level indicators under these dimensions. The maturity levels are divided into five types: planning level, specification level, integration level, optimization level, and leading level.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>The maturity model integrates indicators that can be used to assess AI-related technologies and extend the existing maturity models of smart manufacturing by adding specific technical and nontechnical capabilities of these technologies applied in the industrial context. The integration of the industry and artificial intelligence dimensions with the maturity levels shows a road map to improve the capability of applying AI-related technologies throughout the product lifecycle for achieving smart manufacturing.<\/jats:p><\/jats:sec>","DOI":"10.1108\/jeim-10-2020-0397","type":"journal-article","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T07:27:57Z","timestamp":1624260477000},"page":"701-728","source":"Crossref","is-referenced-by-count":45,"title":["Establishment of a maturity model to assess the development of industrial AI in smart manufacturing"],"prefix":"10.1108","volume":"35","author":[{"given":"Wenting","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9641-4712","authenticated-orcid":false,"given":"Caihua","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7550-3540","authenticated-orcid":false,"given":"Fei","family":"Xing","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1206-5509","authenticated-orcid":false,"given":"Guochao","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8906-3638","authenticated-orcid":false,"given":"Xi","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","published-online":{"date-parts":[[2021,6,22]]},"reference":[{"issue":"3","key":"key2022031201024956800_ref001","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/s12599-009-0044-5","article-title":"Developing maturity models for IT management-a procedure model and its application","volume":"1","year":"2009","journal-title":"Business and Information Systems Engineering"},{"issue":"1","key":"key2022031201024956800_ref002","first-page":"37","article-title":"How virtualization, decentralization and network building change the manufacturing landscape: an Industry 4.0 Perspective","volume":"8","year":"2014","journal-title":"International Journal of Mechanical, Industrial Science Engineering"},{"key":"key2022031201024956800_ref003","unstructured":"CESI (2016), \u201cIntelligent manufacturing capability maturity model white paper (version 1.0)\u201d, available at: http:\/\/www.cesi.cn\/201612\/1701.html (accessed 20 June 2020)."},{"key":"key2022031201024956800_ref004","unstructured":"CESI (2018), \u201cData management capability maturity assessment model\u201d, available at: http:\/\/openstd.samr.gov.cn\/bzgk\/gb\/newGbInfo?hcno=B282A7BD34CAA6E2D742E0CAB7587DBC (accessed 20 June 2020)."},{"key":"key2022031201024956800_ref005","unstructured":"China National Standardisation Management Committee (2019), \u201cInformation security technology\u2014data security capability maturity model\u201d, available at: http:\/\/www.gb688.cn\/bzgk\/gb\/newGbInfo?hcno=3CFD5E5A14C24D303EA1E139E6EB75C8 (accessed 20 June 2020)."},{"issue":"8","key":"key2022031201024956800_ref006","doi-asserted-by":"crossref","first-page":"1468","DOI":"10.1108\/IMDS-12-2015-0495","article-title":"How organisations leverage big data: a maturity model","volume":"116","year":"2016","journal-title":"Industrial Management and Data Systems"},{"key":"key2022031201024956800_ref007","article-title":"Artificial intelligence towards future industrial opportunities and challenges","year":"2020"},{"key":"key2022031201024956800_ref008","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.compchemeng.2012.06.037","article-title":"Smart manufacturing, manufacturing intelligence and demand-dynamic performance","volume":"47","year":"2012","journal-title":"Computers and Chemical Engineering"},{"key":"key2022031201024956800_ref009","doi-asserted-by":"crossref","first-page":"47366","DOI":"10.1109\/ACCESS.2019.2909306","article-title":"Training a hidden Markov model-based knowledge model for autonomous manufacturing resources allocation in smart shop floors","volume":"7","year":"2019","journal-title":"IEEE Access"},{"key":"key2022031201024956800_ref010","article-title":"Quo Vadis, business process maturity model? 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