Industry 4.0 and micro and small enterprises: systematic literature review and analysis

References

• Agrawal, R., Wankhede, V. A., Kumar, A., Upadhyay, A., & Garza-Reyes, J. A. (2022). Nexus of circular economy and sustainable business performance in the era of digitalization. International Journal of Productivity and Performance Management, 71(3), 748–774. https://doi.org/10.1108/IJPPM-12-2020-0676
   Web of Science ®Google Scholar
• Andrade, A., Acyr, S., Rodrigues, L. H., & Souto, R. (2006). Pensamento Sistêmico Caderno de Campo. Systems Thinking: Fieldbook.
   Google Scholar
• Anshari, M., & Almunawar, M. N. (2021). Adopting open innovation for SMEs and industrial revolution 4.0. Journal of Science and Technology Policy Management 13(2), 405–427. https://doi.org/10.1108/JSTPM-03-2020-0061
   Google Scholar
• Atlas.ti 9 Windows | ATLAS.ti. (2021). https://atlasti.com/product/windows/. Retrieved from August 31 2021
   Google Scholar
• Axmann, B., & Harmoko, H. (2020). Industry 4.0 Readiness Assessment: Comparison of Tools and Introduction of New Tool for SME. Tehnički glasnik, 14(2), 212–217 https://doi.org/10.31803/tg-20200523195016.
   Web of Science ®Google Scholar
• Ayoobkhan, A. L. M. (2019). A research on cloud computing adoption practices in the context of online business SMEs in Sri Lanka. International Journal of Recent Technology and Engineering, 8(4), 12522–12528. https://doi.org/10.35940/ijrte.d5344.118419
   Google Scholar
• Barata, J., Rupino Cunha, P., & Coyle, S. (2019). Evolving manufacturing mobility in Industry 4.0: The case of process industries. Journal of Manufacturing Technology Management, 31(1), 52–71 doi:10.1108/JMTM-10-2018-0361.
   Web of Science ®Google Scholar
• Bardin, L. (1977). Análise do discurso (pp. 70). Edições.
   Google Scholar
• Bardin, L. (1993). Content analysis. Presses Universitaires de France Le Psychologue.
   Google Scholar
• Batz, A., Kunath, M., & Winkler, H. (2018). Discrepancies between cluster services and SMEs’ needs constraining the creation of a culture of innovation amidst Industry 4.0. LogForum, 14(3), 387–405. https://doi.org/10.17270/J.LOG.2018.286
   Web of Science ®Google Scholar
• Beckmann, B., Giani, A., Carbone, J., Koudal, P., Salvo, J., & Barkley, J. (2016). Developing the digital manufacturing commons: A national initiative for US manufacturing innovation. Procedia Manufacturing, 5, 182–194 https://doi.org/10.1016/j.promfg.2016.08.017.
   Google Scholar
• Berisha, G., & Pula, J. S. (2015). Defining Small and Medium Enterprises: A critical review. Academic Journal of Business, Administration, Law and Social Science, 1 (1), 17–28. www.iipccl.org
   Google Scholar
• Bhandari, D., Singh, R. K., & Garg, S. K. (2018). Justification of advanced manufacturing technologies for small and medium enterprises from auto component sector: AHP approach. International Journal of Productivity and Quality Management, 23(4), 473–491. https://doi.org/10.1504/IJPQM.2018.090260
   Google Scholar
• Cardoso Ermel, A. P., Lacerda, D. P., Morandi, M. I. W., & Gauss, L. (2021). Literature Grounded Theory (LGT). In Literature Reviews (pp. 85–146). Springer, Cham.
   Google Scholar
• Chen, C. L. (2020). Cross-disciplinary innovations by Taiwanese manufacturing SMEs in the context of Industry 4.0. Journal of Manufacturing Technology Management, 31(6), 1145–1168 https://doi.org/10.1108/JMTM-08-2019-0301.
   Web of Science ®Google Scholar
• Chiang, Y., & Lee, D. (2017). Smart manufacturing with the internet of makers. Journal of the Chinese Institute of Engineers, 40(7), 585–592 https://doi.org/10.1080/02533839.2017.1362324.
   Web of Science ®Google Scholar
• Chiarini, A., & Kumar, M. (2021). Lean Six Sigma and Industry 4.0 integration for Operational Excellence: Evidence from Italian manufacturing companies. Production Planning & Control, 32(13), 1084–1101 https://doi.org/10.1080/09537287.2020.1784485.
   Web of Science ®Google Scholar
• Cimini, C., Boffelli, A., Lagorio, A., Kalchschmidt, M., & Pinto, R. (2021). How do industry 4.0 technologies influence organizational change? An empirical analysis of Italian SMEs. Journal of Manufacturing Technology Management 32(3) 695–721. https://doi.org/10.1108/JMTM-04-2019-0135
   Web of Science ®Google Scholar
• Da Costa, L. S., Munhoz, I. P., Pereira, L., & Akkari, A. C. (2022). Assessing the digital maturity of micro and small enterprises: A focus on an emerging market (pp. 175–184). Procedia Computer Science. https://doi.org/10.1016/j.procs.2022.01.216
   Google Scholar
• Danuello, J. C., Francina, E., & Oliveira, T. (2012). Análise cientométrica: Produção científica e redes colaborativas a partir das publicações dos docentes dos programas de pós-graduação em Fonoaudiologia no Brasil. Em Questão, 18(3), 65–79. https://doi.org/10.19132/1808-5245183
   Google Scholar
• Darbanhosseiniamirkhiz, M., & Wan Ismail, W. K. (2012). Advanced manufacturing technology adoption in SMEs: An integrative model. Journal of Technology Management & Innovation, 7(4), 112–120 http://doi.org/10.4067/S0718-27242012000400009.
   Google Scholar
• Dassisti, M., Giovannini, A., Merla, P., Chimienti, M., & Panetto, H. (2019). An approach to support Industry 4.0 adoption in SMEs using a core-metamodel. Annual Reviews in Control, 47, 266–274 https://doi.org/10.1016/j.arcontrol.2018.11.001.
   Web of Science ®Google Scholar
• Dawal, S. Z. M., Tahriri, F., Jen, Y. H., Case, K., Tho, N. H., Zuhdi, A., Mousavi, M., Amindoust, A., & Sakundarini, N. (2015). Empirical evidence of AMT practices and sustainable environmental initiatives in Malaysian automotive SMEs. International Journal of Precision Engineering and Manufacturing, 16(6), 1195–1203 https://doi.org/10.1007/s12541-015-0154-6.
   Web of Science ®Google Scholar
• Denyer, D., & Tranfield, D. (2009). Producing a systematic review. The Sage handbook of organizational research methods (1. ed., pp. 671–689). SAGE Publications.
   Google Scholar
• Dresch, A., Veit, D. R., Lima, P. N. D., Lacerda, D. P., & Collatto, D. C. (2019). Inducing Brazilian manufacturing SMEs productivity with Lean tools. International Journal of Productivity and Performance Management, 68(1), 69–87 https://doi.org/10.1108/IJPPM-10-2017-0248.
   Web of Science ®Google Scholar
• Dutta, G., Kumar, R., Sindhwani, R., & Singh, R. K. (2021). Digitalization priorities of quality control processes for SMEs: A conceptual study in perspective of Industry 4.0 adoption. Journal of Intelligent Manufacturing, 32(6), 1679–1698 https://doi.org/10.1007/s10845-021-01783-2.
   Web of Science ®Google Scholar
• Dyer, J. H., & Singh, H. (1998). The relational view: Cooperative strategy and sources of interorganizational competitive advantage. Academy of Management Review, 23(4), 660–679 https://doi.org/10.5465/amr.1998.1255632.
   Web of Science ®Google Scholar
• Dyer, J. H., Singh, H., & Hesterly, W. S. (2018). The relational view revisited: A dynamic perspective on value creation and value capture. Strategic Management Journal, 39(12), 3140–3162 https://doi.org/10.1002/smj.2785.
   Web of Science ®Google Scholar
• Eidelwein, F., Piran, F. A. S., Lacerda, D. P., Dresch, A., & Rodrigues, L. H. (2018). Exploratory Analysis of Modularization Strategy Based on the Theory of Constraints Thinking Process. Global Journal of Flexible Systems Management, 19(2), 111–122 https://doi.org/10.1007/s40171-017-0177-1.
   Google Scholar
• Erasmus, J., Grefen, P., Vanderfeesten, I., & Traganos, K. (2018). Smart hybrid manufacturing control using cloud computing and the internet-of-things. Machines, 6(4), 62 https://doi.org/10.3390/machines6040062.
   Web of Science ®Google Scholar
• Finfgeld, D. L. (2003). Metasynthesis: The State of the Art—So Far. Qualitative Health Research, 13(7), 893–904 https://doi.org/10.1177/1049732303253462.
   PubMed Web of Science ®Google Scholar
• Gabriel, M., & Pessl, E. (2016). Industry 4.0 and sustainability impacts: Critical discussion of sustainability aspects with a special focus on future of work and ecological consequences. Annals of the Faculty of Engineering Hunedoara, 14(2), 131 https://annals.fih.upt.ro/pdf-full/2016/ANNALS-2016-2-21.pdf.
   Google Scholar
• Gamache, S., Abdul-Nour, G., Baril, C., & Xu, W. (2020). Evaluation of the influence parameters of Industry 4.0 and their impact on the Quebec manufacturing SMEs: The first findings. Cogent Engineering, 7(1), 1771818 https://doi.org/10.1080/23311916.2020.1771818.
   Web of Science ®Google Scholar
• Garay-Rondero, C. L., Martinez-Flores, J. L., Smith, N. R., Morales, S. O. C., & Aldrette-Malacara, A. (2020). Digital supply chain model in Industry 4.0. Journal of Manufacturing Technology Management, 31(5), 887–933 https://doi.org/10.1108/JMTM-08-2018-0280.
   Web of Science ®Google Scholar
• Gauss, L., Lacerda, D. P., & Cauchick Miguel, P. A. (2021). Module-based product family design: Systematic literature review and meta-synthesis. Journal of Intelligent Manufacturing, 32(1), 265–312 https://doi.org/10.1007/s10845-020-01572-3.
   Web of Science ®Google Scholar
• Gauss, L., Lacerda, D. P., & Sellitto, M. A. (2019). Module-based machinery design: A method to support the design of modular machine families for reconfigurable manufacturing systems. International Journal of Advanced Manufacturing Technology, 102(9–12), 3911–3936 https://doi.org/10.1007/s00170-019-03358-1.
   Web of Science ®Google Scholar
• Gavrila, S. G., & Ancillo, L. A. (2021). Spanish SMEs’ digitalization enablers: E-Receipt applications to the offline retail market. Technological Forecasting and Social Change, 162, 120381 https://doi.org/10.1016/j.techfore.2020.120381.
   PubMed Web of Science ®Google Scholar
• Ghadge, A., Kara, M. E., Moradlou, H., & Goswami, M. (2020). The impact of Industry 4.0 implementation on supply chains. Journal of Manufacturing Technology Management, 31(4), 669–686.
   Web of Science ®Google Scholar
• Ghobakhloo, M., & Ching, N. T. (2019). Adoption of digital technologies of smart manufacturing in SMEs. Journal of Industrial Information Integration, 16, 100107. https://doi.org/10.1016/j.jii.2019.100107
   Web of Science ®Google Scholar
• Ghobakhloo, M., & Fathi, M. (2020). Corporate survival in Industry 4.0 era: The enabling role of lean-digitized manufacturing. Journal of Manufacturing Technology Management, 31(1), 1–30.
   Web of Science ®Google Scholar
• Ghouri, A. M., Mani, V., Jiao, Z., Venkatesh, V. G., Shi, Y., & Kamble, S. S. (2021). An empirical study of real-time information-receiving using industry 4.0 technologies in downstream operations. Technological Forecasting and Social Change, 165 (120551), 1–14. https://doi.org/10.1016/j.techfore.2020.120551
   Google Scholar
• Gomes Júnior, M. A. (2020). MPE: Conceitos universais e desafios contemporâneos. Revista. Observatorio de la Economía Latinoamericana (6), 1–19. https://www.eumed.net/rev/oel/2020/06/conceitos-universais-empresas.html
   Google Scholar
• Gough, D., Oliver, S., & Thomas, J. (2012). An introduction to systemic reviews. SAGE Publications Ltd.
   Google Scholar
• Grau, A., Indri, M., Bello, L. L., & Sauter, T. (2021). Robots in Industry. IEEE Industrial Electronics Magazine, 21(March), 58–61. https://doi.org/10.1049/esn.1983.0038
   Google Scholar
• Grönroos, C., Helle, P., & Bettis‐Outland, H. (2012). Return on relationships: Conceptual understanding and measurement of mutual gains from relational business engagements. Journal of Business & Industrial Marketing, 27(5), 344–359. https://doi.org/10.1108/08858621211236025
   Web of Science ®Google Scholar
• Grube, D., Malik, A. A., & Bilberg, A. (2017). Generic Challenges and automation solutions in manufacturing SMES. Annals of DAAAM & Proceedings, 28, pp. 1161–1169. https://doi.org/10.2507/28th.daaam.proceedings.161.
   Google Scholar
• Gurría, A. (2017). The Next Production Revolution: Implications for Governments and Business. OECD Publishing.
   Google Scholar
• Hansen, D. G., Malik, A. A., & Bilberg, A. (2017). Generic challenges and automation solutions in manufacturing SMEs. Annals of DAAAM and Proceedings of the International DAAAM Symposium, January, 1161–1169. https://doi.org/10.2507/28th.daaam.proceedings.161.
   Google Scholar
• Huang, B., Li, C., Yin, C., & Zhao, X. (2013). Cloud manufacturing service platform for small-and medium-sized enterprises. The International Journal of Advanced Manufacturing Technology, 65(9), 1261–1272. https://doi.org/10.1007/s00170-012-4255-4.
   Web of Science ®Google Scholar
• Huang, C. J., Talla Chicoma, E. D., & Huang, Y. H. (2019). Evaluating the factors that are affecting the implementation of industry 4.0 technologies in manufacturing MSMEs, the case of Peru. Processes, 7(3), 1–24. https://doi.org/10.3390/PR7030161
   Web of Science ®Google Scholar
• Jimeno-Morenilla, A., Azariadis, P., Molina-Carmona, R., Kyratzi, S., & Moulianitis, V. (2021). Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review. Computers in Industry, 125(103390), 1–13. https://doi.org/10.1016/j.compind.2020.103390
   Google Scholar
• Kamble, S., Gunasekaran, A., & Dhone, N. C. (2020). Industry 40 and lean manufacturing practices for sustainable organizational performance in Indian manufacturing companies. International Journal of Production Research, 58(5), 1319–1337. https://doi.org/10.1080/00207543.2019.1630772
   Web of Science ®Google Scholar
• Khanzode, A. G., Sarma, P. R. S., Mangla, S. K., & Yuan, H. (2021). Modeling the Industry 4.0 adoption for sustainable production in Micro. Small & Medium Enterprises. Journal of Cleaner Production, 279 (123489), 1–14. https://doi.org/10.1016/j.jclepro.2020.123489
   Google Scholar
• Kim, H., Jung, W. K., Choi, I. G., & Ahn, S. H. (2019). A low-cost vision-based monitoring of computer numerical control (CNC) machine tools for small and medium-sized enterprises (SMEs). Sensors, 19(20), 4506. https://doi.org/10.3390/s19204506
   PubMed Web of Science ®Google Scholar
• Klingenberg, C. O., Borges, M. A. V., & Antunes, J. A. V., Jr. (2019). Industry 4.0 as a data-driven paradigm: A systematic literature review on technologies. Journal of Manufacturing Technology Management, 88881, 23. https://doi.org/10.1108/JMTM-09-2018-0325
   Google Scholar
• Kumar, R., Sindhwani, R., & Singh, P. L. (2021). IIoT implementation challenges: Analysis and mitigation by blockchain. Journal of Global Operations and Strategic Sourcing 15(3), 363–379. https://doi.org/10.1108/JGOSS-08-2021-0056
   Google Scholar
• Kumar, R., Singh, R. K., & Dwivedi, Y. K. (2020). Application of Industry 4.0 technologies in Indian SMEs for sustainable growth: Analysis of challenges. Journal of Cleaner Production, 257 (124063), 1–13.
   Google Scholar
• Lazarova‐Molnar, S., Mohamed, N., & Al‐Jaroodi, J. (2019). Data analytics framework for industry 4.0: Enabling collaboration for added benefits. IET Collaborative Intelligent Manufacturing, 1(4), 117–125. https://doi.org/10.1049/iet-cim.2019.0012
   Google Scholar
• Lazarova‐Molnar, S., Mohamed, N., & Al‐Jaroodi, J. (2019). Data analytics framework for industry 4.0: Enabling collaboration for added benefits. IET Collaborative Intelligent Manufacturing, 1(4), 117–125. doi:10.1049/iet-cim.2019.0012
   Google Scholar
• Liu, C., Zhou, Y., Cen, Y., & Lin, D. (2019). Integrated application in intelligent production and logistics management: Technical architectures concepts and business model analyses for the customized facial masks manufacturing. International Journal of Computer Integrated Manufacturing, 32(4–5), 522–532. https://doi.org/10.1080/0951192X.2019.1599434
   Web of Science ®Google Scholar
• Li, Q., Zhang, D., Wang, S., & Kucukkoc, I. (2019). A dynamic order acceptance and scheduling approach for additive manufacturing on-demand production. The International Journal of Advanced Manufacturing Technology, 105(9), 3711–3729. https://link.springer.com/article/10.1007/s00170-019-03796-x
   Web of Science ®Google Scholar
• Longo, F., Nicoletti, L., & Padovano, A. (2019). Ubiquitous knowledge empowers the Smart Factory: The impacts of a Service-oriented Digital Twin on enterprises’ performance. Annual Reviews in Control, 47, 221–236.
   Web of Science ®Google Scholar
• Lugert, A., Batz, A., & Winkler, H. (2018). Empirical assessment of the future adequacy of value stream mapping in manufacturing industries. Journal of Manufacturing Technology Management, 29, 886–906.
   Web of Science ®Google Scholar
• Lunardi, G. L., Dolci, P. C., & Maçada, A. C. G. (2010). Adoção de tecnologia de informação e seu impacto no desempenho organizacional: Um estudo realizado com micro e pequenas empresas. Revista de Administração, 45(1), 5–17. https://doi.org/10.1016/S0080-2107(16)30505-2
   Google Scholar
• Lussier, R. N., & Sonfield, M. C. (2015). Micro versus small family businesses: A multinational analysis. Journal of Small Business and Enterprise Development, 22(3), 380–396.
   Web of Science ®Google Scholar
• Mahmood, T., & Mubarik, M. S. (2020). Balancing innovation and exploitation in the fourth industrial revolution: Role of intellectual capital and technology absorptive capacity. Technological Forecasting and Social Change, 160, 120248.
   PubMed Web of Science ®Google Scholar
• Marri, H. B., Gunasekaran, A., Gopang, M. A., Nebhwani, M., & Soomro, A. S. (2017). Assessment of CIM implementation in SMEs: A multiple case study approach. The International Journal of Advanced Manufacturing Technology, 90(5), 2193–2206.
   Web of Science ®Google Scholar
• Martínez-Olvera, C., & Mora-Vargas, J. (2019). A comprehensive framework for the analysis of Industry 4.0 Value Domains. Sustainability (Switzerland), 11(10), 1–21. https://doi.org/10.3390/su11102960
   Web of Science ®Google Scholar
• Matt, D. T., Modrák, V., & Zsifkovits, H. (2020). Industry 4.0 for SMEs: Challenges, opportunities and requirements. Springer Nature.
   Google Scholar
• Michlowicz, E. (2021). Logistics engineering and industry 4.0 and digital factory. Archives of Transport, 57. https://doi.org/10.5604/01.3001.0014.7484
   Google Scholar
• Morandi, M. I. W. M., & Camargo, L. F. R. (2015). Revisão sistemática da literatura. Design science research: Método de pesquisa para avanço da ciência e tecnologia (pp. 141–175). Bookman.
   Google Scholar
• Mukhuty, S., Upadhyay, A., & Rothwell, H. (2022, January). Strategic sustainable development of Industry 4.0 through the lens of social responsibility: The role of human resource practices. Business Strategy and the Environment, 1–14. https://doi.org/10.1002/bse.3008
   Google Scholar
• Nara, E. O. B., Costa, M. B., Baierle, I. C., Schaefer, J. L., Benitez, G. B., Do Santos, L. M. A., & Benitez, L. B. (2021). Expected impact of industry 4.0 technologies on sustainable development: A study in the context of Brazil’s plastic industry. Sustainable Production and Consumption, 25, 102–122.
   Web of Science ®Google Scholar
• Narwane, V. S., Raut, R. D., Mangla, S. K., Gardas, B. B., Narkhede, B. E., Awasthi, A., & Priyadarshinee, P. (2020). Mediating role of cloud of things in improving performance of small and medium enterprises in the Indian context. Annals of Operations Research, 1–30. https://doi.org/10.1007/s10479-019-03502-w
   Web of Science ®Google Scholar
• Nasrollahi, M., Ramezani, J., & Sadraei, M. (2021). The Impact of Big Data Adoption on SMEs’ Performance. Performance. Big Data and Cognitive Computing, 5(4), 68.
   Google Scholar
• Neirotti, P., Raguseo, E., & Paolucci, E. (2018). How SMEs develop ICT-based capabilities in response to their environment: Past evidence and implications for the uptake of the new ICT paradigm. Journal of Enterprise Information Management, 31(1), 10–37. https://doi.org/10.1108/JEIM-09-2016-0158
   Web of Science ®Google Scholar
• Nguyen, X. T., & Luu, Q. K. (2020). Factors Affecting Adoption of Industry 4.0 by Small- and Medium-Sized Enterprises: A Case in Ho Chi Minh City, Vietnam. Vietnam. The Journal of Asian Finance, Economics and Business, 7(6), 255–264.
   Web of Science ®Google Scholar
• Nwaiwu, F., Duduci, M., Chromjakova, F., & Otekhile, C. A. F. (2020). Industry 4.0 concepts within the Czech SME manufacturing sector: An empirical assessment of critical success factors. Business: Theory and Practice, 21(1), 58–70. https://doi.org/10.3846/btp.2020.10712
   Google Scholar
• OECD. (2021). Discover the centre for entrepreneurship, SMEs, regions and cities. OECD Publishing. Disponível em: https://www.oecd.org/cfe/CFE-Brochure-2021-Final-web.pdf. Acesso em 16 fevereiro 2022
   Google Scholar
• Ooi, B. Y., Beh, W. L., Lee, W. K., & Shirmohammadi, S. (2020). A parameter-free vibration analysis solution for legacy manufacturing machines operation tracking. IEEE Internet of Things Journal, 7(11), 11092–11102. https://doi.org/10.1109/JIOT.2020.2994395
   Web of Science ®Google Scholar
• Pech, M., & Vrchota, J. (2020). Classification of small-and medium-sized enterprises based on the level of industry 4.0 implementation. Applied Sciences, 10(15), 1–22.
   Google Scholar
• Piran, F. A. S., Lacerda, D. P., Camargo, L. F. R., Viero, C. F., Dresch, A., & Dresch, A. (2017). Product modularity and its effects on the production process: An analysis in a bus manufacturer. The International Journal, Advanced Manufacturing Technology, 88(5–8), 2331–2343.
   Web of Science ®Google Scholar
• Pirola, F., Cimini, C., & Pinto, R. (2019). Digital readiness assessment of Italian SMEs: A case study research. Journal of Manufacturing Technology Management, 31(5), 1045–1083.
   Web of Science ®Google Scholar
• Pisar, P., & Mazo, M. E. (2020). Controlling, communication and corporate culture–the opportunities for Smes. Economics & Sociology, 13(3), 113–132.
   Web of Science ®Google Scholar
• Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review, 92(11), 64–88.
   Web of Science ®Google Scholar
• Raan, A. V. (2009). For your citations only? Hot topics in bibliometric analysis. Interdisciplinary Research and Perspectives, 3(1), 50–62. October 2014, 37-41. https://doi.org/10.1207/s15366359mea0301_7
   Google Scholar
• Rafael, L. D., Jaione, G. E., Cristina, L., & Ibon, S. L. (2020). An Industry 4.0 maturity model for machine tool companies. Technological Forecasting and Social Change, 159, 120203.
   Web of Science ®Google Scholar
• Rauch, E., Unterhofer, M., Rojas, R. A., Gualtieri, L., Woschank, M., & Matt, D. T. (2020). A maturity level-based assessment tool to enhance the implementation of industry 4.0 in small and medium-sized enterprises. Sustainability, 12(9), 3559.
   Web of Science ®Google Scholar
• Raymond, L., Bergeron, F., Croteau, A. M., & St‐Pierre, J. (2015). Developing absorptive capacity through e‐business: The case of international SMEs. Journal of Small Business Management, 53, 75–94.
   Web of Science ®Google Scholar
• Razak, D. A., Abdullah, M. A., & Ersoy, A. (2018). Small medium enterprises (SMEs) in Turkey and Malaysia a comparative discussion on issues and challenges. International Journal of Business, Economics and Law, 10(49), 2–591.
   Google Scholar
• Ren, L., Zhang, L., Tao, F., Zhao, C., Chai, X., & Zhao, X. (2015). Cloud manufacturing: From concept to practice. Enterprise Information Systems, 9(2), 186–209.
   Web of Science ®Google Scholar
• Ricci, R., Battaglia, D., & Neirotti, P. (2021). External knowledge search, opportunity recognition and industry 4.0 adoption in SMEs. International Journal of Production Economics, 240, 108234.
   Web of Science ®Google Scholar
• Saeedi, S. A. W., Sharifuddin, J., & Seng, K. W. K. Intention on Adoption of Industry 4.0 Technology Among Small And Medium Enterprises. International Journal of Scientific and Technology Research, 9(2), 4472–4478.
   Google Scholar
• Safar, L., Sopko, J., Bednar, S., & Poklemba, R. (2018). Concept of SME business model for industry 4.0 environment. Tem Journal, 7(3), 626. https://doi.org/10.18421/TEM73-20
   Google Scholar
• Salimon, M. G., Abdullah, H. H., Gorondutse, A. H., Bin Abdullah, S. S., Tafida, A., Ango, Y. I., Andow, H., & Abdul-Qadir, A. B. (2019). Empirical implementation of industry 4.0 model among Malaysian and Nigerian SMEs. International Journal of Supply Chain Management, 8(3), 622–632.
   Google Scholar
• Saniuk, S., & Saniuk, A. (2018). Challenges of industry 4.0 for production enterprises functioning within cyber industry networks. Management Systems in Production Engineering, 26(4), 212–216.
   Web of Science ®Google Scholar
• Senge, P. (1990). A quinta disciplina. 14.ed. Best Seller. 352. Trad.
   Google Scholar
• Sevinç, A., Gür, Ş., & Eren, T. (2018). Analysis of the difficulties of SMEs in industry 4.0 applications by analytical hierarchy process and analytical network process. Processes, 6(12), 1–16. htpps://doi.org/10.3390/pr6120264
   Web of Science ®Google Scholar
• Singh, S., Mahanty, B., & Tiwari, M. K. (2019). Framework and modelling of inclusive manufacturing system. International Journal of Computer Integrated Manufacturing, 32(2), 105–123.
   Web of Science ®Google Scholar
• Sivathanu, B. (2019). Adoption of industrial IoT (IIoT) in auto-component manufacturing SMEs in India. Information Resources Management Journal (IRMJ), 32(2), 52–75.
   Web of Science ®Google Scholar
• Somohano-Rodríguez, F. M., Madrid-Guijarro, A., & López-Fernández, J. M. (2020). Does Industry 4.0 really matter for SME innovation? Journal of Small Business Management, 1–28. https://doi.org/10.1080/00472778.2020.1780728
   Web of Science ®Google Scholar
• Song, T., Liu, H., Wei, C., & Zhang, C. (2014). Common engines of cloud manufacturing service platform for SMEs. The International Journal of Advanced Manufacturing Technology, 73(1), 557–569.
   Web of Science ®Google Scholar
• Srivastava, D. K., Kumar, V., Ekren, B. Y., Upadhyay, A., Tyagi, M., & Kumari, A. (2022). Adopting Industry 4.0 by leveraging organisational factors. Technological Forecasting and Social Change, 176.
   Web of Science ®Google Scholar
• Strauss, A., & Corbin, J. (1990). Basics of qualitative research. Sage publications.
   Google Scholar
• Subramanian, G., Patil, B. T., & Gardas, B. B. (2021). Evaluation of enablers of cloud technology to boost industry 4.0 adoption in the manufacturing micro, small and medium enterprises. Journal of Modelling in Management, 16(3), 944–962.
   Web of Science ®Google Scholar
• Swamy, D. R., & Nanjundeswaraswamy, T. S. (2017). Advanced Manufacturing Technology and Demographical Factors in Manufacturing Small and Medium Enterprises-an Exploratory Study. Annals of the Faculty of Engineering Hunedoara, 15(1), 175.
   Google Scholar
• Szász, L., Demeter, K., Rácz, B. G., & Losonci, D. (2020). Industry 4.0: A review and analysis of contingency and performance effects. Journal of Manufacturing Technology Management, 28. https://doi.org/10.1108/JMTM-10-2019-0371
   Google Scholar
• Taurino, T., & Villa, A. (2019). A method for applying Industry 4.0 in Small Enterprises. IFAC - Papers Online, 52(13), 439–444.
   Google Scholar
• Turk, Ž. (2021). Structured analysis of ICT adoption in the European construction industry. International Journal of Construction Management, 1–7.
   Web of Science ®Google Scholar
• Türkmen, M. (2016). Effect of manufacturing strategy on business performance. Uluslararası İktisadi ve İdari İncelemeler Dergisi, 16, 45–60. https://doi.org/10.18092/ijeas.50408
   Google Scholar
• Varela, M. L., Putnik, G. D., Manupati, V. K., Rajyalakshmi, G., Trojanowska, J., & Machado, J. (2021). Integrated process planning and scheduling in networked manufacturing systems for I4. 0: A review and framework proposal. Wireless Networks, 27(3), 1587–1599. https://link.springer.com/article/10.1007/s11276-019-02082-8
   Web of Science ®Google Scholar
• Veile, J. W., Kiel, D., Müller, J. M., & Voigt, K.-I. (2020). Lessons learned from Industry 4.0 implementation in the German manufacturing industry. Journal of Manufacturing Technology Management, 31(5), 977–997.
   Web of Science ®Google Scholar
• Vivek, M., & Chandrasekar, K. (2019). Digitalization of MSMEs in India in context to Industry 4.0: Challenges and opportunities. International Journal of Advanced Science and Technology, 28(19), 937–943.
   Google Scholar
• Wang, X. L., Wang, L., Bi, Z., Li, Y. Y., & Xu, Y. (2016). Cloud computing in human resource management (HRM) system for small and medium enterprises (SMEs). The International Journal of Advanced Manufacturing Technology, 84(1), 485–496. https://doi.org/10.1007/s00170-016-8493-8
   Web of Science ®Google Scholar
• Wang, G., Zhang, L., & Guo, J. (2021). Analysis on application level based on ordinal logistic regression and best of advanced manufacturing technologies (AMT) selection based on fuzzy-TOPSIS integration approach. Journal of Intelligent & Fuzzy Systems, Preprint, 1–11. https://doi.org/10.3233/JIFS-189663
   Google Scholar
• Wankhede, V. A., & Vinodh, S. (2021). Analysis of barriers of cyber-physical system adoption in small and medium enterprises using interpretive ranking process. International Journal of Quality & Reliability Management.
   PubMed Web of Science ®Google Scholar
• Webster, J., & Watson, R. T. (2002). Analyzing the past to prepare for the future: Writing a literature review. MIS Quarteriy, 26(2), 13–23. https://doi.org/10.1016/j.freeradbiomed.2005.02.032
   Web of Science ®Google Scholar
• Yazdi, P. G., Azizi, A., & Hashemipour, M. (2018). An empirical investigation of the relationship between overall equipment efficiency (OEE) and manufacturing sustainability in industry 4.0 with time study approach. Sustainability, 10(9), 3031.
   Web of Science ®Google Scholar
• Yazdi, P. G., Azizi, A., & Hashemipour, M. (2019). A hybrid methodology for validation of optimization solutions effects on manufacturing sustainability with time study and simulation approach for SMEs. Sustainability, 11(5), 1454. https://doi.org/10.3390/su11051454
   Web of Science ®Google Scholar
• Yunus, E. N. (2020). The mark of industry 4.0: How managers respond to key revolutionary changes. International Journal of Productivity and Performance Management, 70(5), 1213–1231.
   Web of Science ®Google Scholar