La confluencia de las tecnologías I4.0 y nuevos modelos de negocio: una revisión sistemática de la literatura

Autores/as

DOI:

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

Palabras clave:

Industria 4.0, Modelos de negocios digitales, Plataforma digital, Innovación, Competitividad.

Resumen

Objetivos del estudio: El estudio tiene como objetivo presentar la literatura sistemática sobre la confluencia de modelos de negocio de tecnologías asociadas a la Industria 4.0.

Metodología/abordaje: La investigación se construyó sobre bloques conceptuales en la intersección de Industria 4.0 (I4.0), modelos de negocio y digitalización para identificar tendencias hacia un modelo de negocio I4.0. Mediante técnicas bibliometricas, se seleccionaron 80 artículos científicos de Scopus y WoS, utilizando software especializado.

Originalidad/relevancia: Existen pocos estudios sobre la interfaz estudiada, y este artículo contribuye a esta literatura emergente, brindando una síntesis de la literatura, tanto en un componente descriptivo detallado como en el análisis de los principales clusters temáticos asociados.

Principales resultados: La literatura aún se está consolidando en relación con un marco denominado modelo de negocio 4.0. La mayoría de los artículos abordan modelos comerciales para tecnologías específicas asociadas con la Industria 4.0. De los 80 manuscritos analizados, 56 estaban asociados a modelos de negocio e Industria 4.0, de estos 24 manuscritos restringieron la investigación a modelos de negocio digitales e I4.0. Entre ellos, pocos realmente describieron un modelo de negocio I4.0.

Contribuciones teóricas/ metodológicas: Identificación de los principales trabajos para el desarrollo de un modelo de negocio innovador asociado a I4.0. Fotografía inmediata y útil del estado del arte de la literatura. Identificación de los principales clusters temáticos.

Contribuciones sociales / gerenciales: Contribuir a académicos y profesionales en el campo (especialmente en Negocios / Economía) con presentación de la literatura más reciente y relevante que describe los principales elementos para la creación de modelos de negocio innovadores 4.0.

Descargas

Los datos de descargas todavía no están disponibles.

Biografía del autor/a

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

Citas

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

Descargas

Publicado

2021-12-17

Cómo citar

Teixeira, J. E., & Tavares-Lehmann, A. T. (2021). La confluencia de las tecnologías I4.0 y nuevos modelos de negocio: una revisión sistemática de la literatura. International Journal of Innovation – IJI, 9(3), 664–689. https://doi.org/10.5585/iji.v9i3.20619

Número

Sección

Reviews