A confluência das tecnologias I.4.0 e novos modelos de negócio: uma revisão sistemática de literatura
DOI:
https://doi.org/10.5585/iji.v9i3.20619Palavras-chave:
Indústria 4.0, Modelos de negócios digitais, Plataforma digital, Inovação, Competitividade.Resumo
Objetivo do estudo: O estudo tem como objetivo apresentar a literatura sistematizada sobre a confluência dos modelos de negócios a partir das tecnologias associadas a Indústria 4.0.
Metodologia/abordagem: A pesquisa foi construída em blocos conceituais na interseção entre Indústria 4.0 (I4.0), modelos de negócios e digitalização para identificar tendências para um modelo de negócios I4.0. Por meio das técnicas de bibliometria, foram selecionados 80 artigos científicos da Scopus e WoS, utilizando software especializado.
Originalidade/relevância: Há poucos estudos sobre a interface estudada, e este artigo contribui para esta literatura emergente, proporcionando uma síntese da literatura, tanto numa componente descritiva detalhada, como da análise dos principais clusters temáticos associados.
Principais resultados: A literatura ainda está consolidando-se em relação a um framework nomeadamente dito modelo de negócios 4.0. A maioria dos trabalhos abordam modelos de negócios para específicas tecnologias associadas à Indústria 4.0. Dos 80 manuscritos analisados 56 estavam associados a modelos de negócios e Indústria 4.0, destes 24 manuscritos restringiam a investigação a modelos de negócio digitais e I4.0. Entre eles, poucos descreviam realmente um modelo de negócio I4.0.
Contribuições teóricas e metodológicas: Identificação dos principais trabalhos para a elaboração de um inovador modelo de negócios associado à I4.0. Fotografia imediata e útil do estado da arte da literatura. Identificação de principais clusters temáticos.
Contribuições sociais/ de gestão: Contribuir para os acadêmicos e profissionais da área (especialmente de Negócios/Economia) com o levantamento da literatura mais recente e relevante que perfila os principais elementos para a criação de inovadores modelos de negócios 4.0.
Downloads
Referências
Agostini, L., & Nosella, A. (2021). Industry 4.0 and business models: a bibliometric literature review. Business Process Management Journal, ahead-of-print(ahead-of-print). https://doi.org/10.1108/bpmj-03-2021-0133
Aria, M., & Cuccurullo, C. (2017). bibliometrix : An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007
Bagnoli, C., Dal Mas, F., & Massaro, M. (2019). The 4th industrial revolution: Business models and evidence from the field. International Journal of E-Services and Mobile Applications, 11(3), 34-47. https://doi.org/10.4018/IJESMA.2019070103
Bawono, M., & Mihardjo, L. W. W. (2020). Driving transformation performance through innovation and experience model. Management Science Letters, 10(6), 1259-1264. https://doi.org/10.5267/j.msl.2019.11.032
Benitez, G. B., Ayala, N. F., & Frank, A. G. (2020). Industry 4.0 innovation ecosystems: An evolutionary perspective on value cocreation. International Journal of Production Economics, 228. https://doi.org/10.1016/j.ijpe.2020.107735
Broadus, R. N. (1987). Toward a definition of “bibliometrics”. Scientometrics, 12(5-6), 373-379. https://doi.org/10.1007/bf02016680
Coreynen, W., Matthyssens, P., Vanderstraeten, J., & van Witteloostuijn, A. (2020). Unravelling the internal and external drivers of digital servitization: A dynamic capabilities and contingency perspective on firm strategy. Industrial Marketing Management, 89, 265-277. https://doi.org/10.1016/j.indmarman.2020.02.014
Cucculelli, M., Dileo, I., & Pini, M. (2021). Filling the void of family leadership: institutional support to business model changes in the Italian Industry 4.0 experience. Journal of Technology Transfer. https://doi.org/10.1007/s10961-021-09847-4
Das, P., Perera, S., Senaratne, S., & Osei-Kyei, R. (2020). Developing a construction business model transformation canvas. Engineering, Construction and Architectural Management, 28(5), 1423-1439. https://doi.org/10.1108/ECAM-09-2020-0712
De Carvalho, G. D. G., Sokulski, C. C., Da Silva, W. V., De Carvalho, H. G., De Moura, R. V., De Francisco, A. C., & Da Veiga, C. P. (2020). Bibliometrics and systematic reviews: A comparison between the Proknow-C and the Methodi Ordinatio. Journal of Informetrics, 14(3), 101043. https://doi.org/10.1016/j.joi.2020.101043
Del Giudice, M., Scuotto, V., Papa, A., Tarba, S. Y., Bresciani, S., & Warkentin, M. (2021). A Self-Tuning Model for Smart Manufacturing SMEs: Effects on Digital Innovation. Journal of Product Innovation Management, 38(1), 68-89. https://doi.org/10.1111/jpim.12560
Dolgui, A., Ivanov, D., Potryasaev, S., Sokolov, B., Ivanova, M., & Werner, F. (2020). Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain. International Journal of Production Research, 58(7), 2184-2199. https://doi.org/10.1080/00207543.2019.1627439
Dorta-Gonz Ález, P., & Dorta-González, M.-I. (2011). Aplicación empírica de un indicador bibliométrico basado en el índice h. Cultura y Educación, 23(2), 297-313. https://doi.org/10.1174/113564011795944695
Emer, A., Unterhofer, M., & Rauch, E. (2021). A Cybersecurity Assessment Model for Small and Medium-Sized Enterprises. IEEE Engineering Management Review, 1-1. https://doi.org/10.1109/EMR.2021.3078077
Esmaeilian, B., Sarkis, J., Lewis, K., & Behdad, S. (2020). Blockchain for the future of sustainable supply chain management in Industry 4.0. Resources, Conservation and Recycling, 163. https://doi.org/10.1016/j.resconrec.2020.105064
Fatorachian, H., & Kazemi, H. (2018). A critical investigation of Industry 4.0 in manufacturing: theoretical operationalisation framework. Production Planning and Control, 29(8), 633-644. https://doi.org/10.1080/09537287.2018.1424960
Fernandez, V., & Gallardo-Gallardo, E. (2021). Tackling the HR digitalization challenge: key factors and barriers to HR analytics adoption. Competitiveness Review: An International Business Journal, 31(1), 162-187. https://doi.org/10.1108/cr-12-2019-0163
Fitzgibbons, M., & Meert, D. (2010). Are Bibliographic Management Software Search Interfaces Reliable?: A Comparison between Search Results Obtained Using Database Interfaces and the EndNote Online Search Function. The Journal of Academic Librarianship, 36(2), 144-150. https://doi.org/10.1016/j.acalib.2010.01.005
Florén, H., Barth, H., Gullbrand, J., & Holmén, M. (2021). Additive manufacturing technologies and business models – a systematic literature review. Journal of Manufacturing Technology Management, 32(1), 136-155. https://doi.org/10.1108/JMTM-01-2020-0009
Frank, A. G., Mendes, G. H. S., Ayala, N. F., & Ghezzi, A. (2019). Servitization and Industry 4.0 convergence in the digital transformation of product firms: A business model innovation perspective. Technological Forecasting and Social Change, 141, 341-351. https://doi.org/10.1016/j.techfore.2019.01.014
Gottge, S., Menzel, T., & Forslund, H. (2020). Industry 4.0 technologies in the purchasing process. Industrial Management and Data Systems, 120(4), 730-748. https://doi.org/10.1108/IMDS-05-2019-0304
Götz, M. (2021). Cluster role in industry 4.0 – a pilot study from Germany. Competitiveness Review: An International Business Journal, 31(1), 54-82. https://doi.org/10.1108/cr-10-2019-0091
Groos, O. V., & Pritchard, A. (1969). Documentation notes. Journal of Documentation, 25(4), 344-349. https://doi.org/10.1108/eb026482
Hervas-Oliver, J.-L., Gonzalez-Alcaide, G., Rojas-Alvarado, R., & Monto-Mompo, S. (2021). Emerging regional innovation policies for industry 4.0: analyzing the digital innovation hub program in European regions. Competitiveness Review: An International Business Journal, 31(1), 106-129. https://doi.org/10.1108/cr-12-2019-0159
Jabbour, C. J. C., Jabbour, A. B. L. D. S., Sarkis, J., & Filho, M. G. (2019). Unlocking the circular economy through new business models based on large-scale data: An integrative framework and research agenda. Technological Forecasting and Social Change, 144, 546-552. https://doi.org/10.1016/j.techfore.2017.09.010
Jerman, A., Erenda, I., & Bertoncelj, A. (2019). The Influence of Critical Factors on Business Model at a Smart Factory: A Case Study. Business Systems Research, 10(1), 42-52. https://doi.org/10.2478/bsrj-2019-0004
Kerin, M., & Pham, D. T. (2019). A review of emerging industry 4.0 technologies in remanufacturing. Journal of Cleaner Production, 237. https://doi.org/10.1016/j.jclepro.2019.117805
Kim, J. W. (2020). Blockchain technology and its applications: Case studies. Journal of System and Management Sciences, 10(1), 83-93. https://doi.org/10.33168/JSMS.2020.010
Kohtamäki, M., Parida, V., Oghazi, P., Gebauer, H., & Baines, T. (2019). Digital servitization business models in ecosystems: A theory of the firm. Journal of Business Research, 104, 380-392. https://doi.org/10.1016/j.jbusres.2019.06.027
Kusiak, A. (2018). Smart manufacturing. International Journal of Production Research, 56(1-2), 508-517. https://doi.org/10.1080/00207543.2017.1351644
Li, Y., Dai, J., & Cui, L. (2020). The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model. International Journal of Production Economics, 229. https://doi.org/10.1016/j.ijpe.2020.107777
Linde, L., Sjödin, D., Parida, V., & Gebauer, H. (2020). Evaluation of Digital Business Model Opportunities: A Framework for Avoiding Digitalization Traps. Research Technology Management, 64(1), 43-53. https://doi.org/10.1080/08956308.2021.1842664
Llopis-Albert, C., Rubio, F., & Valero, F. (2021). Impact of digital transformation on the automotive industry. Technological Forecasting and Social Change, 162. https://doi.org/10.1016/j.techfore.2020.120343
Menon, K., Kärkkäinen, H., & Wuest, T. (2020). Industrial internet platform provider and end-user perceptions of platform openness impacts. Industry and Innovation, 27(4), 363-389. https://doi.org/10.1080/13662716.2019.1673150
Mihardjo, L. W. W., Sasmoko, S., Alamsjah, F., & Elidjen, E. (2019). Digital leadership role in developing business model innovation and customer experience orientation in industry 4.0. Management Science Letters, 9(11), 1749-1762. https://doi.org/10.5267/j.msl.2019.6.015
Moeuf, A., Pellerin, R., Lamouri, S., Tamayo-Giraldo, S., & Barbaray, R. (2018). The industrial management of SMEs in the era of Industry 4.0. International Journal of Production Research, 56(3), 1118-1136. https://doi.org/10.1080/00207543.2017.1372647
Müller, J. M. (2019). Business model innovation in small- and medium-sized enterprises: Strategies for industry 4.0 providers and users. Journal of Manufacturing Technology Management, 30(8), 1127-1142. https://doi.org/10.1108/JMTM-01-2018-0008
Müller, J. M., Buliga, O., & Voigt, K. I. (2018). Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0. Technological Forecasting and Social Change, 132, 2-17. https://doi.org/10.1016/j.techfore.2017.12.019
Müller, J. M., Buliga, O., & Voigt, K. I. (2021). The role of absorptive capacity and innovation strategy in the design of industry 4.0 business Models - A comparison between SMEs and large enterprises. European Management Journal, 39(3), 333-343. https://doi.org/10.1016/j.emj.2020.01.002
Nascimento, D. L. M., Alencastro, V., Quelhas, O. L. G., Caiado, R. G. G., Garza-Reyes, J. A., Lona, L. R., & Tortorella, G. (2019). Exploring Industry 4.0 technologies to enable circular economy practices in a manufacturing context: A business model proposal. Journal of Manufacturing Technology Management, 30(3), 607-627. https://doi.org/10.1108/JMTM-03-2018-0071
Ozdagoglu, A., Ozdagoglu, G., Topoyan, M., & Damar, M. (2020). A predictive filtering approach for clarifying bibliometric datasets: an example on the research articles related to industry 4.0. Technology Analysis & Strategic Management, 32(2), 158-174. https://doi.org/10.1080/09537325.2019.1645826
Queiroz, M. M., Pereira, S. C. F., Telles, R., & Machado, M. C. (2019). Industry 4.0 and digital supply chain capabilities: A framework for understanding digitalisation challenges and opportunities. Benchmarking-an International Journal, 28(5), 1761-1782. https://doi.org/10.1108/BIJ-12-2018-0435
Saad, G. (2010). Applying the h-index in exploring bibliometric properties of elite marketing scholars. Scientometrics, 83(2), 423-433. https://doi.org/10.1007/s11192-009-0069-z
Safar, L., Sopko, J., Bednar, S., & Poklemba, R. (2018). Concept of SME business model for industry 4.0 environment. TEM Journal, 7(3), 626-637. https://doi.org/10.18421/TEM73-20
Schwab, K. 2016. The Fourth Industrial Revolution. 1º ed., Geneva: World Economic Forum.
Ślusarczyk, B. (2018). Industry 4.0 – Are we ready? Polish Journal of Management Studies, 17(1), 232-248. https://doi.org/10.17512/pjms.2018.17.1.19
Sung, T. K. (2018). Industry 4.0: A Korea perspective. Technological Forecasting and Social Change, 132, 40-45. https://doi.org/10.1016/j.techfore.2017.11.005
Teece, D. J. (2010). Business Models, Business Strategy and Innovation. Long Range Planning, 43(2-3), 172-194. https://doi.org/10.1016/j.lrp.2009.07.003
Tian, J., Coreynen, W., Matthyssens, P., & Shen, L. (2021). Platform-based servitization and business model adaptation by established manufacturers. Technovation. https://doi.org/10.1016/j.technovation.2021.102222
Veile, J. W., Schmidt, M. C., Müller, J. M., & Voigt, K. I. (2020). Relationship follows technology! How Industry 4.0 reshapes future buyer-supplier relationships. Journal of Manufacturing Technology Management. https://doi.org/10.1108/JMTM-09-2019-0318
Weking, J., Stöcker, M., Kowalkiewicz, M., Böhm, M., & Krcmar, H. (2020). Leveraging industry 4.0 – A business model pattern framework. International Journal of Production Economics, 225. https://doi.org/10.1016/j.ijpe.2019.107588
Yang, H., Kim, S. Y., & Yim, S. (2019). A case study of the Korean government's preparation for the fourth industrial revolution: Public program to support business model innovation. Journal of Open Innovation: Technology, Market, and Complexity, 5(2). https://doi.org/10.3390/JOITMC5020035
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2021 International Journal of Innovation – IJI
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.