{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T16:15:06Z","timestamp":1776096906649,"version":"3.50.1"},"reference-count":24,"publisher":"Emerald","issue":"5","license":[{"start":{"date-parts":[[2019,12,9]],"date-time":"2019-12-09T00:00:00Z","timestamp":1575849600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMTM"],"published-print":{"date-parts":[[2019,12,9]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>In recent years, the development and application of innovative and disruptive technologies in manufacturing environments is shaping the fourth industrial revolution, also known as Industry 4.0. The purpose of this paper is to describe a tool to assess the maturity level in implementing Industry 4.0 concepts and technologies in manufacturing companies.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>Using a framework to develop maturity models found in literature, three main steps were taken: the model design from the literature review on industry 4.0 and the comparative analysis of existing models; interviews with engineers and managers of relevant industries; and pilot tests in two relevant industrial companies.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>The proposed maturity model has 41 variables considering five dimensions (organizational strategy, structure and culture; workforce; smart factories; smart processes; smart products and services). The studied companies showed different levels of Industry 4.0 implementation. According to respondents, the model is useful in making an initial diagnosis and establishes a roadmap to proceed the implementation.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title>\n<jats:p>Empirical evidence supports the relevance of the proposed model and its practical usefulness. It can be used to measure the current state (initial diagnostic and monitoring assessments), and to plan the future desired state (goal), identifying which transformational capabilities should be developed.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>The literature review did not return an enough complete maturity model to guide a self-administered assessment. Therefore, the proposed model is a valuable tool for companies and researchers to understand the I4.0 phenomenon, plan and monitor the transformation actions.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/jmtm-09-2018-0284","type":"journal-article","created":{"date-parts":[[2020,1,13]],"date-time":"2020-01-13T03:49:51Z","timestamp":1578887391000},"page":"1023-1043","source":"Crossref","is-referenced-by-count":229,"title":["An Industry 4.0 maturity model proposal"],"prefix":"10.1108","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3289-4371","authenticated-orcid":false,"given":"Reginaldo Carreiro","family":"Santos","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5777-6438","authenticated-orcid":false,"given":"Jos\u00e9 Lu\u00eds","family":"Martinho","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"issue":"4","key":"key2020111813550708300_ref001","doi-asserted-by":"crossref","first-page":"840","DOI":"10.1108\/JM2-03-2018-0042","article-title":"Development of an industry 4.0 maturity model for the delivery process in supply chains","volume":"13","year":"2018","journal-title":"Journal of Modelling in Management"},{"key":"key2020111813550708300_ref002","first-page":"8","article-title":"Understanding the main phases of developing a maturity assessment model","year":"2005"},{"key":"key2020111813550708300_ref003","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.procs.2015.07.012","article-title":"Assessment of maturity in project management: a bibliometric study of main models","volume":"55","year":"2015","journal-title":"Procedia Computer Science"},{"issue":"32","key":"key2020111813550708300_ref004","first-page":"1","article-title":"IAMM: \u2018a maturity model for measuring industrial analytics capabilities in large-scale manufacturing facilities\u2019","volume":"7","year":"2016","journal-title":"International Journal of Prognostics and Health Management"},{"key":"key2020111813550708300_ref005","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.procir.2016.04.107","article-title":"Smart adaptable assembly systems","volume":"44","year":"2016","journal-title":"Procedia CIRP"},{"issue":"6","key":"key2020111813550708300_ref006","doi-asserted-by":"crossref","first-page":"910","DOI":"10.1108\/JMTM-02-2018-0057","article-title":"The future of manufacturing industry: a strategic roadmap toward Industry 4.0","volume":"29","year":"2018","journal-title":"Journal of Manufacturing Technology Management"},{"key":"key2020111813550708300_ref024","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/S2212-5671(15)00022-2","article-title":"A case analysis on the focus on the maturity models and information technologies","volume":"19","year":"2015","journal-title":"Procedia Economics and Finance"},{"issue":"12","key":"key2020111813550708300_ref007","first-page":"4242","article-title":"A survey on concepts, applications, and challenges in cyber-physical systems","volume":"8","year":"2014","journal-title":"KSII Transactions on Internet and Information Systems"},{"key":"key2020111813550708300_ref008","first-page":"3928","article-title":"Design principles for Industrie 4.0 Scenarios","year":"2016"},{"key":"key2020111813550708300_ref009","unstructured":"Kagermann, H., Wahlster, W. and Helbig, J. 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