A confluência das tecnologias I.4.0 e novos modelos de negócio: uma revisão sistemática de literatura

Josélia Elvira Teixeira; Ana Teresa Tavares-Lehmann

doi:10.5585/iji.v9i3.20619

Authors

Josélia Elvira Teixeira Universidade Estadual do Centro-Oeste https://orcid.org/0000-0002-4501-0339
Ana Teresa Tavares-Lehmann University of Porto https://orcid.org/0000-0002-0235-4000

DOI:

https://doi.org/10.5585/iji.v9i3.20619

Keywords:

Industry 4.0, Digital business model, Digital platform, Innovation, Competitiveness.

Abstract

Objective of the study: The study’s objective is to provide a systematic literature review on the coevolution of the Technologies associated to Industry 4.0 and business models.

Methodology/approach: The research was built on conceptual blocs at the interface between Industry 4.0 (I 4.0), business models (BM) and digitalization /digital business models (DBM) in order to identify relevant trends. Through bibliometric techniques, 80 articles were selected from Scopus and WoS, using specialized software.

Originality/ Relevance: Few studies exist on the interface under analysis. This article contributes to this emerging literature, providing a synthesis of such literature, including both a detailed descriptive component and an analysis of the main thematic clusters associated to this interface.

Main results: The literature still needs to evolve into a framework of a 4.0 business model. The majority of the existing studies focus on business models to specific technologies associated to Industry 4.0. Among the 80 articles scrutinized, 56 were associated to business models and I4.0, and 24 linked business models and digitalization. Few really described a business model that could be characterized as an I4.0 business model.

Theoretical/methodological contributions: Identification of key studies underlying the elaboration of an innovative business model associated to I4.0. An immediate and useful characterization of the literature. Identification of the main thematic clusters.

Social/management contributions: To provide academics and professionals (especially in Business/Economics) with a detailed and thorough review of the most relevant literature, including the main aspects underlying the creation of innovative business models based on I4.0.

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Author Biographies

Josélia Elvira Teixeira, Universidade Estadual do Centro-Oeste

Assistant Professor at Department of Economics (Universidade Estadual do Centro-Oeste-UNICENTRO), Phd in Public Policy (UFPR). Guarapuava – PR, Brazil

Ana Teresa Tavares-Lehmann, University of Porto

Associate Professor at Faculty of Economics and Management (Universidade do Porto), Phd in Economics (University of Reading), Porto – Portugal

References

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