Gestión de proyectos y digitalización en la industria 4.0: tendencias y desafíos
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Keywords
Dirección de proyectos, innovación, inteligencia artificial, optimización de procesos, sostenibilidad, tecnologías emergentes
Resumen
Este artículo examina cómo las tecnologías de la industria 4.0 están transformando la gestión de proyectos y fomentando la sostenibilidad. Mediante un análisis bibliométrico de 87 publicaciones científicas obtenidas de la base de datos Scopus, se exploraron tendencias y contribuciones importantes utilizando herramientas como Bibliometrix, R-studio y Gephi. La metodología incluyó el análisis de citaciones, cocitaciones, coautorías y la coocurrencia de términos clave. Los resultados identifican tres áreas principales de investigación: digitalización como eje transformador, sostenibilidad integrada en la transformación digital y optimización de procesos mediante inteligencia artificial (IA). En este estudio sedestaca la alta concentración de publicaciones en revistas líderes y el papel de instituciones y colaboraciones internacionales en el avance del conocimiento. Además, la evaluación de la productividad de los autores y el análisis de clústeres muestran la importancia de términos como gestión de proyectos, industria 4.0 e inteligencia artificial. Se concluye que la convergencia tecnológica redefine la gestión de proyectos, impulsando estrategias más sostenibles, resilientes y adaptativas en un entorno empresarial dinámico.
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Allegri, S. A., McCoy, K., & Mitchell, C. S. (2022). CompositeView: A network-based visualization tool. Big data and cognitive computing, 6(2), 66. https://doi.org/10.3390/bdcc6020066
Anshari, M., & Hamdan, M. (2022). Understanding knowledge management and upskilling in Fourth Industrial Revolution: transformational shift and SECI model. VINE Journal of Information and Knowledge Management Systems, 52(3), 373-393. https://doi.org/10.1108/VJIKMS-09-2021-0203
Antony, J., Sony, M., Garza-Reyes, J. A., McDermott, O., Tortorella, G., Jayaraman, R., Sucharitha, R.S. Salentijin, W., & Maalouf, M. (2023). Industry 4.0 benefits, challenges and critical success factors: a comparative analysis through the lens of resource dependence theory across continents and economies. Journal of Manufacturing Technology Management, 34(7), 1073-1097. https://doi.org/10.1108/JMTM-10-2022-0371.
Anumbe, N., Saidy, C., & Harik, R. (2022). A Primer on the Factories of the Future. Sensors, 22(15), 5834. https://doi.org/10.3390/s22155834.
Asadollahi-Yazdi, E., Couzon, P., Nguyen, N. Q., Ouazene, Y., & Yalaoui, F. (2020). Industry 4.0: revolution or evolution? American Journal of Operations Research, 10(06), 241-268. http://www.scirp.org/journal/Paperabs.aspx?PaperID=103411
Bílková, M., Greco, G., Palmigiano, A., Tzimoulis, A., & Wijnberg, N. (2018). The logic of resources and capabilities. The Review of Symbolic Logic, 11(2), 371-410. https://doi.org/10.1017/S175502031700034X
Blayone, T. J., & VanOostveen, R. (2021). Prepared for work in Industry 4.0? Modelling the target activity system and five dimensions of worker readiness. International Journal of Computer Integrated Manufacturing, 34(1), 1-19. https://doi.org/10.1080/0951192X.2020.1836677
Broccardo, L., Zicari, A., Jabeen, F., & Bhatti, Z. A. (2023). How digitalization supports a sustainable business model: A literature review. Technological Forecasting and Social Change, 187, 122146. https://doi.org/10.1016/j.techfore.2022.122146.
Burnes, B. (2005). Complexity theories and organizational change. International journal of management reviews, 7(2), 73-90. https://doi.org/10.1111/j.1468-2370.2005.00107.x
Bushuyev, S., Bushuyeva, N., Bushuiev, D., Babayev, I., & Babayev, J. (2021). Modeling Leadership for developing information technologies based on Agile methodology. In 2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) (pp. 1-5). IEEE. https://doi.org/10.1109/SIST50301.2021.9465910
Chen, C., Tang, L. C. M., & Jin, Y. (2019). Development of 5D BIM-based management system for pre-fabricated construction in China. In International Conference on Smart Infrastructure and Construction 2019 (ICSIC) Driving data-informed decision-making (pp. 215-224). ICE Publishing. https://doi.org/10.1680/icsic.64669.215
Chenya, L., Aminudin, E., Mohd, S., & Yap, L. S. (2022). Intelligent risk management in construction projects: Systematic Literature Review. IEEE Access, 10, 72936-72954. https://doi.org/10.1109/ACCESS.2022.3189157
Dantas, T. E., de-Souza, E. D., Destro, I. R., Hammes, G., Rodriguez, C. M. T., & Soares, S. R. (2021). How the combination of Circular Economy and Industry 4.0 can contribute towards achieving the Sustainable Development Goals. Sustainable production and consumption, 26, 213-227. https://doi.org/10.1016/j.spc.2020.10.005.
Dass, A. K., Nayak, M., Pattanaik, S. R., & Panigrahi, A. (2023). Cloud Computing in Industrial Automation Systems and its Future. Research and Applications: Embedded System, 6(3), 8-18. https://doi.org/10.5281/zenodo.10208415.
Ejsmont, K., Gladysz, B., & Kluczek, A. (2020). Impact of industry 4.0 on sustainability—bibliometric literature review. Sustainability, 12(14), 5650. https://doi.org/10.3390/su12145650.
Fatimah, Y. A., Govindan, K., Murniningsih, R., & Setiawan, A. (2020). Industry 4.0 based sustainable circular economy approach for smart waste management system to achieve sustainable development goals: A case study of Indonesia. Journal of cleaner production, 269, 122263. https://doi.org/10.1016/j.jclepro.2020.122263.
Fobiri, G., Musonda, I., & Muleya, F. (2022). Reality capture in Construction Project Management: A review of opportunities and challenges. Buildings, 12(9), 1381. https://doi.org/10.3390/buildings12091381
Frank, A. G., Mendes, G. H., 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.
Gebretekle, Y. T., Kamau, D. W., Raoufi, M., & Fayek, A. R. (2022). Digitalization Opportunities Road Mapping Tool (DORMT©): A framework to assess digitalization opportunities in construction organizations. Canadian Journal of Civil Engineering, 49(2), 171-182. https://doi.org/10.1139/cjce-2020-0762
Geels, F. W. (2004). From sectoral systems of innovation to socio-technical systems: Insights about dynamics and change from sociology and institutional theory. Research policy, 33(6-7), 897-920. https://doi.org/10.1016/j.respol.2004.01.015.
Goger, G., & Bisenberger, T. (2018). Tunnelling 4.0–Construction‐related future trends: Tunnelbau 4.0–Baubetriebliche Zukunftstrends. Geomechanics and Tunnelling, 11(6), 710-721. https://doi.org/10.1002/geot.201800058
Gupta, S., Justy, T., Kamboj, S., Kumar, A., & Kristoffersen, E. (2021). Big data and firm marketing performance: Findings from a knowledge-based view. Technological Forecasting and Social Change, 171, 120986. https://doi.org/10.1016/j.techfore.2021.120986
Hargadon, A. B. (2002). Brokering knowledge: Linking learning and innovation. Research in Organizational behavior, 24, 41-85. https://doi.org/10.1016/S0191-3085(02)24003-4
Holland, J. H. (1992). Complex adaptive systems. Daedalus, 121(1), 17-30. https://www.jstor.org/stable/20025416
Hwang, S., Kim, Y. I., & Shin, J. (2018). An analysis of herding in the Korean stock market using Network Theory. Korean Journal of Financial Studies, 47(3), 505-542. https://doi.org/10.26845/KJFS.2018.06.47.3.505
Jahanger, Q. K., Louis, J., Trejo, D., & Pestana, C. (2021). Potential influencing factors related to digitalization of construction-phase information management by project owners. Journal of Management in Engineering, 37(3), 04021010. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000903
Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2022). Artificial intelligence applications for industry 4.0: A literature-based study. Journal of Industrial Integration and Management, 7(01), 83-111. https://doi.org/10.1142/S2424862221300040.
Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2022). Enabling flexible manufacturing system (FMS) through the applications of industry 4.0 technologies. Internet of Things and Cyber-Physical Systems, 2, 49-62. https://doi.org/10.1016/j.iotcps.2022.05.005
Javaid, M., Haleem, A., Singh, R. P., Suman, R., & Gonzalez, E. S. (2022). Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability. Sustainable operations and computers, 3, 203-217. https://doi.org/10.1016/j.susoc.2022.01.008
Joyce, A., & Paquin, R. L. (2016). The triple layered business model canvas: A tool to design more sustainable business models. Journal of cleaner production, 135, 1474-1486. https://doi.org/10.1016/j.jclepro.2016.06.067.
Kadirhanogullari, M., & Kose, E. (2024). A bibliometric analysis of articles on bibliometric studies in science education. International Journal of Research in Education and Science (IJRES), 10(2), 315-339. https://doi.org/10.46328/ijres.3370.
Kirchherr, J., Yang, N. H. N., Schulze-Spüntrup, F., Heerink, M. J., & Hartley, K. (2023). Conceptualizing the circular economy (revisited): an analysis of 221 definitions. Resources, conservation and recycling, 194, 107001. https://doi.org/10.1016/j.resconrec.2023.107001
Kumar, R., Singh, R. K., & Dwivedi, Y. K. (2020). Application of industry 4.0 technologies in SMEs for ethical and sustainable operations: Analysis of challenges. Journal of cleaner production, 275, 124063. https://doi.org/10.1016/j.jclepro.2020.124063.
Lawrence, P., & Lorsch, J. W. (1967). Differentiation and integration in complex organizations. Administrative science quarterly, 1-47. https://doi.org/10.2307/2391211
Lima, B. F., Neto, J. V., Santos, R. S., & Caiado, R. G. G. (2023). A socio-technical framework for lean project management implementation towards sustainable value in the digital transformation context. Sustainability, 15(3), 1756. https://doi.org/10.3390/su15031756
Lu, Y., & de Vries, W. T. (2021). A bibliometric and visual analysis of rural development research. Sustainability, 13(11), 6136. https://doi.org/10.3390/su13116136.
Marc, D., Butler-Henderson, K., Dua, P., Lalani, K., & Fenton, S. H. (2019). Global workforce trends in health informatics & information management. In MEDINFO 2019: Health and Wellbeing e-Networks for All (pp. 1273-1277). IOS Press. https://doi.org/10.3233/SHTI190431.
Martinelli, A., Mina, A., & Moggi, M. (2021). The enabling technologies of industry 4.0: examining the seeds of the fourth industrial revolution. Industrial and Corporate Change, 30(1), 161-188. https://doi.org/10.1093/icc/dtaa060.
Martínez, J., Hernández, H. y Novoa, D. J. (2024). Mecanismo de operadores logísticos en la consecución de proyectos para la generación de valor. Revista Saber, Ciencia y Libertad, 19(1), 279 – 294. https://doi.org/10.18041/2382-3240/saber.2024v19n1.11408
Mubarak, M. F., & Petraite, M. (2020). Industry 4.0 technologies, digital trust and technological orientation: What matters in open innovation? Technological Forecasting and Social Change, 161, 120-332. https://doi.org/10.1016/j.techfore.2020.120332.
Munirathinam, S. (2020). Industry 4.0: Industrial internet of things (IIOT). Advances in computers, 117(1), 129-164. https://doi.org/10.1016/bs.adcom.2019.10.010
Murguia, D., Vasquez, C., Demian, P., & Soetanto, R. (2023). BIM adoption among contractors: a longitudinal study in Peru. Journal of Construction Engineering and Management, 149(1), https://doi.org/10.1061/(ASCE)CO.1943-7862.0002424
Nakanishi, Y., Kaneta, T., & Nishino, S. (2022). A review of monitoring construction equipment in support of construction project management. Frontiers in Built Environment, 7, 632593. https://doi.org/10.3389/fbuil.2021.632593
Nardo, M., Forino, D., & Murino, T. (2020). The evolution of man–machine interaction: The role of human in Industry 4.0 paradigm. Production & manufacturing research, 8(1), 20-34. https://doi.org/10.1080/21693277.2020.1737592
Niederman, F. (2021). Project management: openings for disruption from AI and advanced analytics. Information Technology & People, 34(6), 1570-1599. https://doi.org/10.1108/ITP-09-2020-0639.
Novoa, D. J., Martínez Ventura, J. L., & Hernández Palma, H. G. (2024). Gestión de proyectos con enfoque estandarizado en instituciones de salud Colombia. Revista Venezolana De Gerencia, 29(11), 568-580. https://doi.org/10.52080/rvgluz.29.e11.45
Parsamehr, M., Perera, U. S., Dodanwala, T. C., Perera, P., & Ruparathna, R. (2023). A review of construction management challenges and BIM-based solutions: perspectives from the schedule, cost, quality, and safety management. Asian Journal of Civil Engineering, 24(1), 353-389. https://doi.org/10.1007/s42107-022-00501-4.
Perrier, N., Bled, A., Bourgault, M., Cousin, N., Danjou, C., Pellerin, R., & Roland, T. (2020). Construction 4.0: A survey of research trends. Journal of Information Technology in Construction, 25, 416-437. https://doi.org/10.36680/J.ITCON.2020.024
Pyke, G. H. (1984). Optimal foraging theory: a critical review. Annual review of ecology and systematics, 15, 523-575. https://www.jstor.org/stable/2096959.
Portela, F., Lima, L., & Santos, M. F. (2016). Why big data? Towards a project assessment framework. Procedia Computer Science, 98, 604-609. https://doi.org/10.1016/j.procs.2016.09.094
Powell, W. W., & DiMaggio, P. J. (Eds.). (2012). The new institutionalism in organizational analysis. University of Chicago press.
Rane, S. B., & Narvel, Y. A. M. (2022). Data-driven decision making with Blockchain-IoT integrated architecture: a project resource management agility perspective of industry 4.0. International Journal of System Assurance Engineering and Management, 13(2), 1005-1023. https://doi.org/10.1007/s13198-021-01377-4
Rauch, E. (2020). Industry 4.0+: The next level of intelligent and self-optimizing factories. In Advances in Design, Simulation and Manufacturing III (pp. 176-186). Springer International Publishing. https://doi.org/10.1007/978-3-030-50794-7_18
Reinbold, A., Seppänen, O., & Peltokorpi, A. (2020). The Role of Digitalized Visual Management to Empower Selfmanaged Crews in Construction Projects. In Annual Conference of the International Group for Lean Construction (pp. 925-935). International Group for Lean Construction (IGLC). https://doi.org/10.24928/2020/0021
Rodriguez-Ulcuango, O., Guerra-Flores, C., Quispe Fernandez, G., Ayaviri-Nina, D., & Giner Pérez, J. M. (2023). Bibliometric Analysis of Determining Factors in Entrepreneurial Intention. Universidad de Alicante. http://hdl.handle.net/10045/133770.
Schroeder, P., Anggraeni, K., & Weber, U. (2019). The relevance of circular economy practices to sustainable development goals. Journal of Industrial Ecology, 23(1), 77-95. https://doi.org/10.1111/jiec.12732.
Sharma, M., Luthra, S., Joshi, S., & Joshi, H. (2022). Challenges to agile project management during COVID-19 pandemic: an emerging economy perspective. Operations Management Research, 15(1), 461-474. https://doi.org/10.1007/s12063-021-00249-1
Shepherd, M., Turner, J. A., Small, B., & Wheeler, D. (2020). Priorities for science to overcome hurdles thwarting the full promise of the ‘digital agriculture’revolution. Journal of the Science of Food and Agriculture, 100(14), 5083-5092. https://doi.org/10.1002/jsfa.9346
Singh, R., Garg, V., & GPT-3. (2021). Human factors in nde 4.0 development decisions. Journal of Nondestructive Evaluation, 40(3), 71. https://doi.org/10.1007/s10921-021-00808-3
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. https://doi.org/10.1108/JM2-08-2020-0207.
Tanner, C., & Richter, S. L. (2018). Digitalizing B2B business processes—the learnings from E-invoicing. Business Information Systems and Technology 4.0: New Trends in the Age of Digital Change, 103-116. https://doi.org/10.1007/978-3-319-74322-6_7.
Teece, D. J. (2018). Dynamic capabilities as (workable) management systems theory. Journal of Management & Organization, 24(3), 359-368. https://doi.org/10.1017/jmo.2017.75.
Temkin, O. N., Zeigarnik, A. V., & Bonchev, D. G. (2020). Chemical reaction networks: a graph-theoretical approach. CRC Press. https://doi.org/10.1201/9781003067887.
Turner, P., & Turner, P. (2021). The Fourth Industrial Revolution. The Making of the Modern Manager: Mapping Management Competencies from the First to the Fourth Industrial Revolution, 131-161. https://doi.org/10.1007/978-3-030-81062-7_5
Underwood, J., & Isikdag, U. (2011). Emerging technologies for BIM 2.0. Construction Innovation, 11(3), 252-258. https://doi.org/10.1108/14714171111148990
Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A., & Trichina, E. (2023). Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review. Artificial Intelligence and International HRM, 172-201. https://doi.org/10.4324/9781003377085.
York, R., Rosa, E. A., & Dietz, T. (2010). Ecological modernization theory: Theoretical and empirical challenges. In The International Handbook of Environmental Sociology, Second Edition. Edward Elgar Publishing. https://doi.org/10.4337/9781849805520.00014
Zhao, L., Deng, J., Ma, Y., & Zhu, Y. (2021, February). Design of digital business center of enterprise project management system based on Information Technology. In Journal of Physics: Conference Series, 1744 (2). IOP Publishing. https://doi.org/10.1088/1742-6596/1744/2/022010
Zhu, J., y Liu, W. (2020). A tale of two databases: the use of Web of Science and Scopus in academic papers. Scientometrics, 123(1), 321–335. https://doi.org/10.1007/s11192-020-03387-8