MATURITY MODELS TO ASSESS SMES TOWARDS INDUSTRY 4.0 DEVELOPMENT: REFLECTIONS FOR A RESEARCH AGENDA

Romio, Alexsandra Matos; Bobsin, Debora

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REAd. Revista Eletrônica de Administração (Porto Alegre)

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Artigo • REAd. Rev. eletrôn. adm. (Porto Alegre) 30 (2) • May-Aug 2024 • https://doi.org/10.1590/1413-2311.406.128297 copy

MATURITY MODELS TO ASSESS SMES TOWARDS INDUSTRY 4.0 DEVELOPMENT: REFLECTIONS FOR A RESEARCH AGENDA

Authorship SCIMAGO INSTITUTIONS RANKINGS

The research aims to present a future agenda for maturity model that assess SMEs ability to adapt to the Industry 4.0 development. To this end, a literature review was carried out, using bibliometrics to identify potential elements of Industry 4.0 that can contribute to SMEs, and the main difficulties that will be faced by these businesses in face of the transformations presented by digitalization era. In this way, data compiled from database returned 700 works, and, after applying filters defined to this study, 375 articles were read in depth to develop the research scope. The results list barriers, such as the fact that existing models do not meet SMEs context, and the opportunities since SMEs have difficulties in exploring possible benefits. Furthermore, there are highlighted determinants for successful implementations, in order to contemplate a systemic model for Industry 4.0 in SMEs as well as the points that must be considered to compose new dedicated models to assess SMEs maturity with respect Industry 4.0, such as long-term strategies, and the suggestion of an agenda for future studies.

Keywords:
Maturity Model; Maturity Assessment; Small and Medium Enterprises; Industry 4.0

Eixos	MM e PMEs	MM e I40	PMEs e I40
Áreas de pesquisa Web of Science (WoS)	Total 437	Total 164	Total 99
Engenharia	135	92	47
Economia de negócios	123	45	31
Ciência da computação	90	36	15
Ciência de gestão de pesquisa operacional	31	18	14
Ciência de materiais	35	0	3
Sistemas de controle de automação	0	10	8
Ecologia ciências ambientais	21	9	7
Ciência tecnologia e outros tópicos	15	9	8
Química	25	4	2
Física	17	6	2

Eixos	MM e PMEs	MM e I4.0	PMEs e I4.0
Ano de Publicação Web of Science (WoS)	Total 437	Total 164	Total 99
2019	48	59	38
2020	48	55	29
2018	41	35	19
2017	35	9	8
2016	19	5	5
2015	0	1	0

Eixo MM e PME		Eixo MM e I4.0		Eixo PME e I4.0
Autores	Total 437	Autores	Total 164	Autores	Total 99
Piattini, M.	7	Sihn, W.	5	Ganzarain, J.	3
Sanchez, L. E.	5	Gajsek, B.	4	Voigt, K. I.	3
Fernandez-Medina, E.	4	Mittal, S.	4	Cimini, C.	2
Pfeifer, R.	4	Oleskow-Szlapka, J.	4	Haviernikova, K.	2
Prashar, A.	4	Romero, D.	4	Hudakova, M.	2
Villafranca, D.	4	Wuest, T.	4	Ibarra, D.	2
Wuest, T.	4	Basl, J.	3	Igartua, J. I.	2
Goncalves, R. M.	3	Bley, K.	3	Khan, M. A.	2
Hurschler, C.	3	De Carolis, A.	3	Lamouri, S.	2
Malaisse, W. J.	3	Facchini, F.	3	Masar, M.	2

Eixos	MM e PMEs	MM e I4.0	PMEs e I4.0
Países/Regiões	Total 437	Total 164	Total 99
Alemanha	38	32	14
Itália	21	22	12
República Tcheca	7	11	8
Inglaterra	33	11	5
Brasil	18	16	2
EUA	68	9	0
Espanha	31	5	7
Índia	16	11	2
Polônia	0	7	6
Povos da China	34	4	3

Modelo	Autores	Características	Citações
A maturity model for Industry 4.0 Readiness	Schumacher, Erol e Sihn (2016SCHUMACHER, A.; EROL, S.; SIHNN, W. A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises. Procedia CIRP, v. 52, 2016, p.161-166. https://doi.org/10.1016/j.procir.2016.07.040. https://doi.org/10.1016/j.procir.2016.07... )	Modelo de maturidade para avaliar a prontidão e a maturidade de empresas de manufatura da Indústria 4.0. Nove dimensões sob a estrutura da Indústria 4.0, que são: clientes, produtos, tecnologia, operações, liderança, estratégia, governança, pessoas e, por último, cultura. É composto de três fases distintas: uma fase inicial para criar uma compreensão completa do domínio da Indústria 4.0, uma fase de desenvolvimento central para projetar e arquitetar a estrutura do modelo, bem como uma ferramenta de aplicação prática e uma fase de implementação para validar a ferramenta resultante em aplicação na vida real.	(Basl e Doucek, 2019BASL, J.; DOUCEK, P. A Metamodel for Evaluating Enterprise Readiness in the Context of Industry 4.0. Information, v. 10, n. 3, p. 1-13, 2019.; *Colli et al., 2018COLLI, M. ; BERGER, U.; BOCKHOLT, M.; MADSEN, O.; MOLLER, C.; VEJRUM, B. W.et al. Contextualizing the outcome of a maturity assessment for Industry 4.0. IFAC Papersonline, v. 51, n. 11, p. 1347-1352, 2018.; Rafael et al., 2020RAFAEL, L. D.; JAIOINE, G.E.; LÓPEZ, C.; IBON, S.L. An Industry 4.0 maturity model for machine tool companies. Technological Forecasting and Social Change, v. 159, 2020. https://doi.org/10.1016/j.techfore.2020.120203. https://doi.org/10.1016/j.techfore.2020.... ; Gökalp; Sener; Eren, 2017GÖLLAP, E., ŞENER, U.; EREN, P.E. Development of an Assessment Model for Industry 4.0: Industry 4.0-MM. In: MAS, A.; MESQUIDA, A.; O'CONNOR, R.; ROUT, T.; DORLING, A. (Eds.) Software Process Improvement and Capability Determination. SPICE. Communications in Computer and Information Science, vol 770. Springer, Cham, 2017. https://doi.org/10.1007/978-3-319-67383-7_10. https://doi.org/10.1007/978-3-319-67383-... ; Kiraz et al., 2020KIRAZ, A.; CANPOLAT, O.; ÖZKURT, C.; TAŞKIN, H.; SARP, E. Examination of the criteria affecting Industry 4.0 with structural equation model and a pilot study. Journal of the Faculty of Engineering and Architecture of Gazi University, v. 35, n. 4, p. 2183-2196, 2020.; Narula et al., 2020NARULA, S.; PRAKASH, S.; DWIVEDY, M.; TALWAR, V.; TIWARI, S.P. Industry 4.0 adoption key factors: an empirical study on manufacturing industry. Journal of Advances in Management Research, v. 17, n. 5, p. 697-725, 2020.; Santos e Martinho, 2019SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.; Trotta e Garengo, 2019TROTTA, D.; GARENGO, P. Assessing Industry 4.0 Maturity: An Essential Scale for SMEs. Proceedings. 8th International Conference on Industrial Technology and Management (ICITM), Cambridge, England, 2019.; Wiesner et al., 2018*WIESNER, S.; GAIARDELLI, P.; GRITTI, N.; OBERTI, G. Maturity Models for Digitalization in Manufacturing - Applicability for SMEs. In Manufacturing - Applicability for SMEs. IFIP International Conference on Advances in Production Management Systems (APMS) Proceedings.Seoul, South Korea. pp.81-88, ff10.1007/978-3-319-99707-0_11ff. ffhal-02177846f, 2018.)
Acatech	Scholz et al. (2017)	Índice de maturidade da Indústria 4.0. A maturidade da Indústria 4.0 é avaliada por meio do grau de implementação de cada capacidade de transformação. Gerencia a transformação digital de empresas. Adota como entradas a situação atual e a estratégia corporativa da empresa para fornecer um mapa de orientação digital como saída. Conta com uma abordagem de passo a passo para alcançar os benefícios. Reduz os riscos de investimento e implementação para a empresa. O MM usado para avaliar o nível de digitalização de empresas dinamarquesas e é composto por seis níveis. Cada estágio digital é considerado o necessário para evoluir para o seguinte. Para mapear os recursos digitais da organização, eles são agrupados em cinco áreas, chamadas dimensões digitais.	(Basl e Doucek, 2019BASL, J.; DOUCEK, P. A Metamodel for Evaluating Enterprise Readiness in the Context of Industry 4.0. Information, v. 10, n. 3, p. 1-13, 2019.; *Colli et al., 2019COLLI, M.; BERGER, U.; BOCKHOLT, M.; MADSEN, O.; MOLLER. C.; WAEHRENS, B.V. A maturity assessment approach for conceiving context-specific roadmaps in the Industry 4.0 era. Annual Reviews in Control, v. 48, p. 165-177, 2019.; Hofmann et al., 2019HOFMANN, C.; STAHER, T.; COHEN, S.; STRICKER, N.; HAEFNER, B.; LANZA, G. Augmented Go e See: An approach for improved bottleneck identification in production lines. (S. Herrmann, C and Thiede, Ed.) Anais research. Experience. Education. Procedia Manufacturing.9th Conference on Learning Factories (CLF), Braunschweig, Germany, 2019.; Kolla, Minufekr e Plapper, 2019KOLLA, S. S. V. K.; MINUFEKR, M.; PLAPPER, P. Deriving essential components of lean and industry 4.0 assessment model for manufacturing SMEs. (R. Butala, P and Govekar, E and Vrabic, Ed.) Anais . Procedia CIRP.52nd CIRP Conference on Manufacturing Systems (CMS), Ljubljana, Slovenia, 2019.; Santos e Martinho, 2019SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.; Scholz, 2017SCHOLZ, G. Acatech and Karlsruhe Institute of Technology are developing Industry 4.0 Guide for Business KIT wants to help with Guidelines, especially small and medium-sized Businesses to get started. ATP Edition, n. 5, p. 27, 2017. ]; Wiesner et al., 2018*WIESNER, S.; GAIARDELLI, P.; GRITTI, N.; OBERTI, G. Maturity Models for Digitalization in Manufacturing - Applicability for SMEs. In Manufacturing - Applicability for SMEs. IFIP International Conference on Advances in Production Management Systems (APMS) Proceedings.Seoul, South Korea. pp.81-88, ff10.1007/978-3-319-99707-0_11ff. ffhal-02177846f, 2018.)
IMPULS-VDMA IMPULS- Industrie 4.0 - Readiness	Lichtblau et al. (2015)	Modelo de prontidão com seis níveis, em que a classificação envolve seis fatores principais, incluindo produtos inteligentes, operações inteligentes de fábrica inteligente, serviços orientados por dados, estratégia baseada em Indústria 4.0, juntamente com a própria organização e seus funcionários. Envolve uma ferramenta online de autoverificação. Esse modelo de prontidão é baseado em princípios-chave, como produtos e serviços inteligentes.	(Basl; Doucek, 2019BASL, J.; DOUCEK, P. A Metamodel for Evaluating Enterprise Readiness in the Context of Industry 4.0. Information, v. 10, n. 3, p. 1-13, 2019.; *Colli et al., 2018COLLI, M. ; BERGER, U.; BOCKHOLT, M.; MADSEN, O.; MOLLER, C.; VEJRUM, B. W.et al. Contextualizing the outcome of a maturity assessment for Industry 4.0. IFAC Papersonline, v. 51, n. 11, p. 1347-1352, 2018.; Evans; Marshall, 1998EVANS, C. L.; MARSHALL, D. A. Monetary policy and the term structure of nominal interest rates: evidence and theory. (McCallum, BT and Plosser, CI and Leeper, EM and Sims, CA, Ed.) Anais Carnegie - Rochester Conference Series on Public Policy, Vol 49 - December 1998.; Gökalp; Sener; Eren, 2017GÖLLAP, E., ŞENER, U.; EREN, P.E. Development of an Assessment Model for Industry 4.0: Industry 4.0-MM. In: MAS, A.; MESQUIDA, A.; O'CONNOR, R.; ROUT, T.; DORLING, A. (Eds.) Software Process Improvement and Capability Determination. SPICE. Communications in Computer and Information Science, vol 770. Springer, Cham, 2017. https://doi.org/10.1007/978-3-319-67383-7_10. https://doi.org/10.1007/978-3-319-67383-... ; Narula et al., 2020NARULA, S.; PRAKASH, S.; DWIVEDY, M.; TALWAR, V.; TIWARI, S.P. Industry 4.0 adoption key factors: an empirical study on manufacturing industry. Journal of Advances in Management Research, v. 17, n. 5, p. 697-725, 2020.; Rafael et al., 2020RAFAEL, L. D.; JAIOINE, G.E.; LÓPEZ, C.; IBON, S.L. An Industry 4.0 maturity model for machine tool companies. Technological Forecasting and Social Change, v. 159, 2020. https://doi.org/10.1016/j.techfore.2020.120203. https://doi.org/10.1016/j.techfore.2020.... ; Santos e Martinho, 2019SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.; Trotta; Garengo, 2019TROTTA, D.; GARENGO, P. Assessing Industry 4.0 Maturity: An Essential Scale for SMEs. Proceedings. 8th International Conference on Industrial Technology and Management (ICITM), Cambridge, England, 2019.; Wiesner et al., 2018*WIESNER, S.; GAIARDELLI, P.; GRITTI, N.; OBERTI, G. Maturity Models for Digitalization in Manufacturing - Applicability for SMEs. In Manufacturing - Applicability for SMEs. IFIP International Conference on Advances in Production Management Systems (APMS) Proceedings.Seoul, South Korea. pp.81-88, ff10.1007/978-3-319-99707-0_11ff. ffhal-02177846f, 2018.)
SIMMI 4.0	Leyh et al. (2016);	Modelo de integração de sistemas de maturidade da Indústria 4.0: SIMMI 4.0 - System Integration Maturity Model Industry 4.0. Caracteriza o cenário de software e a tecnologia da informação em toda a empresa, com destaque para as tecnologias da Indústria 4.0. Possui cinco níveis, que são: digitalização básica; digitalização intersetorial; digitalização horizontal e vertical; digitalização completa; e digitalização completa otimizada. Além disso, possui três dimensões: a integração vertical, a integração horizontal e os critérios de tecnologia transversal.	(Basl e Doucek, 2019BASL, J.; DOUCEK, P. A Metamodel for Evaluating Enterprise Readiness in the Context of Industry 4.0. Information, v. 10, n. 3, p. 1-13, 2019.; *Colli et al., 2018COLLI, M. ; BERGER, U.; BOCKHOLT, M.; MADSEN, O.; MOLLER, C.; VEJRUM, B. W.et al. Contextualizing the outcome of a maturity assessment for Industry 4.0. IFAC Papersonline, v. 51, n. 11, p. 1347-1352, 2018.; Gökalp; Sener; Eren, 2017GÖLLAP, E., ŞENER, U.; EREN, P.E. Development of an Assessment Model for Industry 4.0: Industry 4.0-MM. In: MAS, A.; MESQUIDA, A.; O'CONNOR, R.; ROUT, T.; DORLING, A. (Eds.) Software Process Improvement and Capability Determination. SPICE. Communications in Computer and Information Science, vol 770. Springer, Cham, 2017. https://doi.org/10.1007/978-3-319-67383-7_10. https://doi.org/10.1007/978-3-319-67383-... ; Kolla, Minufekr e Plapper, 2019KOLLA, S. S. V. K.; MINUFEKR, M.; PLAPPER, P. Deriving essential components of lean and industry 4.0 assessment model for manufacturing SMEs. (R. Butala, P and Govekar, E and Vrabic, Ed.) Anais . Procedia CIRP.52nd CIRP Conference on Manufacturing Systems (CMS), Ljubljana, Slovenia, 2019.; Leyh et al., 2016aLEYH, C.; BLEY, K.; SCHÄFFER, T.; FORSTENHÄUSLER, S. SIMMI 4.0. A maturity model for classifying the enterprise-wide it and software landscape focusing on Industry 4.0. Federated Conference on Computer Science and Information Systems (FedCSIS), Proceedings, Gdansk, Poland, 2016a, pp. 1297-1302.; Leyh et al., 2016bLEYH, C., SCHÄFFER, T., BLEY, K., FORSTENHÄUSLER, S. Assessing the IT and Software Landscapes of Industry 4.0-Enterprises: The Maturity Model SIMMI 4.0. In: Ziemba, E. (eds) Information Technology for Management: New Ideas and Real Solutions. ISM AITM. Lecture Notes in Business Information Processing, v 277, 2016b. Springer, Cham. https://doi.org/10.1007/978-3-319-53076-5_6. https://doi.org/10.1007/978-3-319-53076-... ; Leyh et al., 2017LEYH, C., BLEY, K., SCHÄFFER, T., BAY, L. The Application of the Maturity Model SIMMI 4.0 in Selected Enterprises. Anais AMCIS 2017 Proceedings, 2017. 23rd Americas Conference on Information Systems (AMCIS), Boston, MA, 2017.; Narula et al., 2020*NARULA, S.; PRAKASH, S.; DWIVEDY, M.; TALWAR, V.; TIWARI, S.P. Industry 4.0 adoption key factors: an empirical study on manufacturing industry. Journal of Advances in Management Research, v. 17, n. 5, p. 697-725, 2020.)

SUGESTÃO DE ITEM OU SUBITEM	PRINCIPAIS AUTORES
A empresa adota medidas de segurança como criptografia	*Wagire et al.* (2020)**WAGIRE, A. A. et al. Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice. Production Planning e Control, 2020.
A empresa armazena e recupera as informações da rede em nuvem	*Wagire et al.* (2020)**WAGIRE, A. A. et al. Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice. Production Planning e Control, 2020.
A empresa tem a capacidade de coletar, armazenar e gerenciar dados de forma eficaz	*Wagire et al.* (2020)**WAGIRE, A. A. et al. Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice. Production Planning e Control, 2020.
A empresa usa sistemas em nuvem para conectar e compartilhar remotamente recursos físicos	*Wagire et al.* (2020)**WAGIRE, A. A. et al. Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice. Production Planning e Control, 2020.
A empresa realiza análise de dados	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
A empresa realiza análise de dados massivos	*Narula et al.* (2020)**NARULA, S.; PRAKASH, S.; DWIVEDY, M.; TALWAR, V.; TIWARI, S.P. Industry 4.0 adoption key factors: an empirical study on manufacturing industry. Journal of Advances in Management Research, v. 17, n. 5, p. 697-725, 2020.
A empresa adquire dados de forma automatizada por meio de sensores e atuadores	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
A empresa adquire dados de armazenamento	Maier, Schmiedbauer e Biedermann (2020)MAIER, H. T.; SCHMIEDBAUER, O.; BIEDERMANN, H. Validation of a Lean Smart Maintenance Maturity Model. Tehnicki Glasnik-Technical Journal, v. 14, n. 3, p. 296-302, 2020.
A empresa realiza armazenamento e computação de dados	Hizam-Hanafiah et al. (2020)
Até que ponto os dados da fase de uso são analisados é um fator considerado pela empresa	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
Autenticação e medidas de autorização são realizadas pela empresa	*Wagire et al.* (2020)**WAGIRE, A. A. et al. Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice. Production Planning e Control, 2020.
Avaliação em grande escala dos dados gerados na fábrica e coletados na cadeia de suprimentos é realizada pela empresa	*Narula et al.* (2020)**NARULA, S.; PRAKASH, S.; DWIVEDY, M.; TALWAR, V.; TIWARI, S.P. Industry 4.0 adoption key factors: an empirical study on manufacturing industry. Journal of Advances in Management Research, v. 17, n. 5, p. 697-725, 2020.
Clientes são considerados	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
Coleta de dados sobre a condição de trabalho no chão de fábrica é realizada	Schumacher, Erol e Sihn (2020)
Coleta de dados sobre a localização do funcionário no chão de fábrica é realizada	Schumacher, Erol e Sihn (2020)
Compartilhamento de dados usados é realizado	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
Comunicação eficiente é realizada	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
Dados como o gerador de valor do modelo de negócios são considerados	*Narula et al.* (2020)**NARULA, S.; PRAKASH, S.; DWIVEDY, M.; TALWAR, V.; TIWARI, S.P. Industry 4.0 adoption key factors: an empirical study on manufacturing industry. Journal of Advances in Management Research, v. 17, n. 5, p. 697-725, 2020.
Dados e análises como capacidade principal são considerados	Hizam-Hanafiah and Soomro (2021)HIZAM-HANAFIAH, M.; SOOMRO, M.A. The Situation of Technology Companies in Industry 4.0 and the Open Innovation. J. Open Innov. Technol. Mark. Complex., v.7, n. 34, 2021. https://doi.org/10.3390/joitmc7010034. https://doi.org/10.3390/joitmc7010034...
Dados, inteligência e transformação digital são considerados	Trotta e Garengo (2019)TROTTA, D.; GARENGO, P. Assessing Industry 4.0 Maturity: An Essential Scale for SMEs. Proceedings. 8th International Conference on Industrial Technology and Management (ICITM), Cambridge, England, 2019.
Desenvolvimento de sistema de recebimento e envio de dados no dispositivo, microchip ou dispositivos inteligentes são usados	Trotta e Garengo (2019)TROTTA, D.; GARENGO, P. Assessing Industry 4.0 Maturity: An Essential Scale for SMEs. Proceedings. 8th International Conference on Industrial Technology and Management (ICITM), Cambridge, England, 2019.
Design de interface baseado em tarefas é aplicado	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
Direção e controle são considerados	Trotta e Garengo (2019)TROTTA, D.; GARENGO, P. Assessing Industry 4.0 Maturity: An Essential Scale for SMEs. Proceedings. 8th International Conference on Industrial Technology and Management (ICITM), Cambridge, England, 2019.
São disponibilizados serviços baseados em dados	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
São entregues dados contextualizados	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
São estabelecidos protocolos de comunicação seguros	*Wagire et al.* (2020)**WAGIRE, A. A. et al. Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice. Production Planning e Control, 2020.
Existe estratégia de uso de dados coletados de funcionários	Schumacher, Erol e Sihn (2020)
Estrutura organizacional é considerada	Trotta e Garengo (2019)TROTTA, D.; GARENGO, P. Assessing Industry 4.0 Maturity: An Essential Scale for SMEs. Proceedings. 8th International Conference on Industrial Technology and Management (ICITM), Cambridge, England, 2019.
Fábrica inteligente é considerada	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
Ferramentas de simulação são aplicadas	*Wagire et al.* (2020)**WAGIRE, A. A. et al. Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice. Production Planning e Control, 2020.
Competências digitais são fornecidas	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
É garantida a segurança de TI e a proteção de dados	*Wagire et al.* (2020)**WAGIRE, A. A. et al. Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice. Production Planning e Control, 2020.
Existe gerenciamento de chão de fábrica baseado em dados	Schumacher, Erol e Sihn (2020)
Existe gestão da cadeia de suprimentos: comunicação, colaboração, visibilidade e envolvimento em tempo real	*Narula et al.* (2020)**NARULA, S.; PRAKASH, S.; DWIVEDY, M.; TALWAR, V.; TIWARI, S.P. Industry 4.0 adoption key factors: an empirical study on manufacturing industry. Journal of Advances in Management Research, v. 17, n. 5, p. 697-725, 2020.
Gestão de dados é realizada	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
Governança de dados é realizada	Hizam-Hanafiah and Soomro (2021)HIZAM-HANAFIAH, M.; SOOMRO, M.A. The Situation of Technology Companies in Industry 4.0 and the Open Innovation. J. Open Innov. Technol. Mark. Complex., v.7, n. 34, 2021. https://doi.org/10.3390/joitmc7010034. https://doi.org/10.3390/joitmc7010034...
Há tentativa de implementação de dados massivos	Trotta e Garengo (2019)TROTTA, D.; GARENGO, P. Assessing Industry 4.0 Maturity: An Essential Scale for SMEs. Proceedings. 8th International Conference on Industrial Technology and Management (ICITM), Cambridge, England, 2019.
Industrial Cyber Security (ICS) é implementada	*Wagire et al.* (2020)**WAGIRE, A. A. et al. Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice. Production Planning e Control, 2020.
Infraestrutura de equipamentos é considerada	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
Infraestrutura de TI resiliente é considerada	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
Insights baseados em dados são considerados	Hizam-Hanafiah and Soomro (2021)HIZAM-HANAFIAH, M.; SOOMRO, M.A. The Situation of Technology Companies in Industry 4.0 and the Open Innovation. J. Open Innov. Technol. Mark. Complex., v.7, n. 34, 2021. https://doi.org/10.3390/joitmc7010034. https://doi.org/10.3390/joitmc7010034...
Integração de dados massivos é realizada	Trotta e Garengo (2019)TROTTA, D.; GARENGO, P. Assessing Industry 4.0 Maturity: An Essential Scale for SMEs. Proceedings. 8th International Conference on Industrial Technology and Management (ICITM), Cambridge, England, 2019.
Existe integração de serviços baseados em dados com os clientes	*Narula et al.* (2020)**NARULA, S.; PRAKASH, S.; DWIVEDY, M.; TALWAR, V.; TIWARI, S.P. Industry 4.0 adoption key factors: an empirical study on manufacturing industry. Journal of Advances in Management Research, v. 17, n. 5, p. 697-725, 2020.
Integração de TI é uma realidade	Hizam-Hanafiah and Soomro (2021)HIZAM-HANAFIAH, M.; SOOMRO, M.A. The Situation of Technology Companies in Industry 4.0 and the Open Innovation. J. Open Innov. Technol. Mark. Complex., v.7, n. 34, 2021. https://doi.org/10.3390/joitmc7010034. https://doi.org/10.3390/joitmc7010034...
Integração horizontal e vertical é realizada	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
Integridade de dados é aplicada	Maier, Schmiedbauer e Biedermann (2020)MAIER, H. T.; SCHMIEDBAUER, O.; BIEDERMANN, H. Validation of a Lean Smart Maintenance Maturity Model. Tehnicki Glasnik-Technical Journal, v. 14, n. 3, p. 296-302, 2020.
Interface de dados padrão é aplicada	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
Localização de dados é facilitada	Hizam-Hanafiah and Soomro (2021)HIZAM-HANAFIAH, M.; SOOMRO, M.A. The Situation of Technology Companies in Industry 4.0 and the Open Innovation. J. Open Innov. Technol. Mark. Complex., v.7, n. 34, 2021. https://doi.org/10.3390/joitmc7010034. https://doi.org/10.3390/joitmc7010034...
Manufatura e operações são consideradas	Trotta e Garengo (2019)TROTTA, D.; GARENGO, P. Assessing Industry 4.0 Maturity: An Essential Scale for SMEs. Proceedings. 8th International Conference on Industrial Technology and Management (ICITM), Cambridge, England, 2019.
Manutenção preditiva com análise de big data é realizada	*Narula et al.* (2020)**NARULA, S.; PRAKASH, S.; DWIVEDY, M.; TALWAR, V.; TIWARI, S.P. Industry 4.0 adoption key factors: an empirical study on manufacturing industry. Journal of Advances in Management Research, v. 17, n. 5, p. 697-725, 2020.
Máquinas trocam dados automaticamente	Trotta e Garengo (2019)TROTTA, D.; GARENGO, P. Assessing Industry 4.0 Maturity: An Essential Scale for SMEs. Proceedings. 8th International Conference on Industrial Technology and Management (ICITM), Cambridge, England, 2019.
Maturidade de TI	Hizam-Hanafiah et al. (2020)
Melhorar a produtividade da planta	*Wagire et al.* (2020)**WAGIRE, A. A. et al. Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice. Production Planning e Control, 2020.
Melhorar conhecimento e habilidades dos cientistas de dados	Trotta e Garengo (2019)TROTTA, D.; GARENGO, P. Assessing Industry 4.0 Maturity: An Essential Scale for SMEs. Proceedings. 8th International Conference on Industrial Technology and Management (ICITM), Cambridge, England, 2019.
Minimizar o tempo de inatividade por meio de análises preditivas	*Wagire et al.* (2020)**WAGIRE, A. A. et al. Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice. Production Planning e Control, 2020.
Modelagem digital	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
Nível de digitalização da organização	Hizam-Hanafiah et al. (2020)
Operação e fabricação	Trotta e Garengo (2019)TROTTA, D.; GARENGO, P. Assessing Industry 4.0 Maturity: An Essential Scale for SMEs. Proceedings. 8th International Conference on Industrial Technology and Management (ICITM), Cambridge, England, 2019.
Organização de processos	Trotta e Garengo (2019)TROTTA, D.; GARENGO, P. Assessing Industry 4.0 Maturity: An Essential Scale for SMEs. Proceedings. 8th International Conference on Industrial Technology and Management (ICITM), Cambridge, England, 2019.
Os dados obtidos são usados para simular um cenário hipotético	*Wagire et al.* (2020)**WAGIRE, A. A. et al. Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice. Production Planning e Control, 2020.
Padronização de protocolos de comunicação	Hoyer, Gunawan e Reaiche (2020)HOYER, C.; GUNAWAN, I.; REAICHE, C. The Implementation of Industry 4.0-A Systematic Literature Review of the Key Factors. Systems Research and Behavioral Science, v. 37, n. 4, SI, p. 557-578, jul. 2020.
Padronização e segurança de TI	Hoyer, Gunawan e Reaiche (2020)HOYER, C.; GUNAWAN, I.; REAICHE, C. The Implementation of Industry 4.0-A Systematic Literature Review of the Key Factors. Systems Research and Behavioral Science, v. 37, n. 4, SI, p. 557-578, jul. 2020.
Participação das receitas derivadas de serviços baseados em dados	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
Preparação de dados	Hizam-Hanafiah et al. (2020)
Preparação de TI	Hizam-Hanafiah et al. (2020)
Pré-processamento descentralizado de dados do sensor	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
Previsão de demanda orientada por análise de dados massivos	*Narula et al.* (2020)**NARULA, S.; PRAKASH, S.; DWIVEDY, M.; TALWAR, V.; TIWARI, S.P. Industry 4.0 adoption key factors: an empirical study on manufacturing industry. Journal of Advances in Management Research, v. 17, n. 5, p. 697-725, 2020.
Processamento de dados em tempo real	*Wagire et al.* (2020)**WAGIRE, A. A. et al. Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice. Production Planning e Control, 2020.
Processo de desenvolvimento de produto	Trotta e Garengo (2019)TROTTA, D.; GARENGO, P. Assessing Industry 4.0 Maturity: An Essential Scale for SMEs. Proceedings. 8th International Conference on Industrial Technology and Management (ICITM), Cambridge, England, 2019.
Produtos capazes de coletar dados sobre sua própria utilização	Trotta e Garengo (2019)TROTTA, D.; GARENGO, P. Assessing Industry 4.0 Maturity: An Essential Scale for SMEs. Proceedings. 8th International Conference on Industrial Technology and Management (ICITM), Cambridge, England, 2019.
Prontidão de TIC	Hizam-Hanafiah et al. (2020)
Qualidade de dados	Maier, Schmiedbauer e Biedermann (2020)MAIER, H. T.; SCHMIEDBAUER, O.; BIEDERMANN, H. Validation of a Lean Smart Maintenance Maturity Model. Tehnicki Glasnik-Technical Journal, v. 14, n. 3, p. 296-302, 2020.
Recursos	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
Rede de computação em nuvem (CC) para armazenamento de dados	*Wagire et al.* (2020)**WAGIRE, A. A. et al. Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice. Production Planning e Control, 2020.
Rede de computação em nuvem (CC) para compartilhamento de recursos	*Wagire et al.* (2020)**WAGIRE, A. A. et al. Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice. Production Planning e Control, 2020.
Representação digital	Maier, Schmiedbauer e Biedermann (2020)MAIER, H. T.; SCHMIEDBAUER, O.; BIEDERMANN, H. Validation of a Lean Smart Maintenance Maturity Model. Tehnicki Glasnik-Technical Journal, v. 14, n. 3, p. 296-302, 2020.
Segurança de dados	Hoyer, Gunawan e Reaiche (2020)HOYER, C.; GUNAWAN, I.; REAICHE, C. The Implementation of Industry 4.0-A Systematic Literature Review of the Key Factors. Systems Research and Behavioral Science, v. 37, n. 4, SI, p. 557-578, jul. 2020.
Segurança de TI	Santos e Martinho, (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019., Hizam-Hanafiah et al. (2020)
Segurança e acesso a dados	Maier, Schmiedbauer e Biedermann (2020)MAIER, H. T.; SCHMIEDBAUER, O.; BIEDERMANN, H. Validation of a Lean Smart Maintenance Maturity Model. Tehnicki Glasnik-Technical Journal, v. 14, n. 3, p. 296-302, 2020.
Serviços baseados em dados	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019. Hizam-Hanafiah et al. (2020)
Serviços inteligentes	Trotta e Garengo, (2019)TROTTA, D.; GARENGO, P. Assessing Industry 4.0 Maturity: An Essential Scale for SMEs. Proceedings. 8th International Conference on Industrial Technology and Management (ICITM), Cambridge, England, 2019.
Sistema de TI complementar	Hizam-Hanafiah et al. (2020)
Sistema geral de TI	Maier, Schmiedbauer e Biedermann (2020)MAIER, H. T.; SCHMIEDBAUER, O.; BIEDERMANN, H. Validation of a Lean Smart Maintenance Maturity Model. Tehnicki Glasnik-Technical Journal, v. 14, n. 3, p. 296-302, 2020.
Sistemas de assistência	Maier, Schmiedbauer e Biedermann (2020)MAIER, H. T.; SCHMIEDBAUER, O.; BIEDERMANN, H. Validation of a Lean Smart Maintenance Maturity Model. Tehnicki Glasnik-Technical Journal, v. 14, n. 3, p. 296-302, 2020.
Sistemas de informação	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
Suporte à decisão de negócios	*Wagire et al.* (2020)**WAGIRE, A. A. et al. Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice. Production Planning e Control, 2020.
Suporte ao cliente	*Narula et al.* (2020)**NARULA, S.; PRAKASH, S.; DWIVEDY, M.; TALWAR, V.; TIWARI, S.P. Industry 4.0 adoption key factors: an empirical study on manufacturing industry. Journal of Advances in Management Research, v. 17, n. 5, p. 697-725, 2020.
Tomada de decisões em tempo real em todos os aspectos da manufatura	*Narula et al.* (2020)**NARULA, S.; PRAKASH, S.; DWIVEDY, M.; TALWAR, V.; TIWARI, S.P. Industry 4.0 adoption key factors: an empirical study on manufacturing industry. Journal of Advances in Management Research, v. 17, n. 5, p. 697-725, 2020.
Transferência de dados	Maier, Schmiedbauer e Biedermann (2020)MAIER, H. T.; SCHMIEDBAUER, O.; BIEDERMANN, H. Validation of a Lean Smart Maintenance Maturity Model. Tehnicki Glasnik-Technical Journal, v. 14, n. 3, p. 296-302, 2020.
Uso de dados	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
Utilização de dados do cliente - segurança/proteção	Santos e Martinho (2019)SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 2019.
Visualização e análise de dados	Maier, Schmiedbauer e Biedermann (2020)MAIER, H. T.; SCHMIEDBAUER, O.; BIEDERMANN, H. Validation of a Lean Smart Maintenance Maturity Model. Tehnicki Glasnik-Technical Journal, v. 14, n. 3, p. 296-302, 2020.

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