Digitalización y gestión de datos en la economía circular
Resumen
El objetivo de este estudio es evaluar los documentos en Scopus sobre digitalización y gestión de datos en la economía circular entre 2018 y 2024, identificando tendencias e influencias mediante un análisis cuantitativo con enfoque bibliométrico de 400 publicaciones. Los resultados evidencian un crecimiento en la adopción de tecnologías como el Internet de las Cosas, la inteligencia artificial y blockchain, con una concentración geográfica en Asia y Europa, mientras que América Latina y África presentan brechas significativas. Se destaca que la calidad de las publicaciones es tan relevante como su cantidad, con países como Italia y Estados Unidos mostrando alta influencia a pesar de no liderar en volumen de documentos. Las implicaciones del estudio resaltan la necesidad de promover el acceso equitativo a tecnologías y fortalecer la cooperación internacional. En conclusión, la digitalización y la gestión de datos han demostrado ser factores clave en la evolución de la economía circular, optimizando la gestión de recursos e impulsando modelos de negocio sostenibles. Se recomienda futuras investigaciones sobre los efectos socioeconómicos de la digitalización y estudios longitudinales que evalúen su impacto en la transición hacia una economía circular efectiva.
Citas
Adimuthu, R., Muduli, K., Ray, M., Singh, S., & Ahmad, T. S. T. (2022). Exploring Role of Industry 4.0 Techniques for Building a Promising Circular Economy Concept: Manufacturing Industry Perspective. In Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing: Theoretical Basics, Applications, and Challenges (pp. 111–124). https://doi.org/10.1201/9781003252009-7
Agrawal, R., Wankhede, V. A., Kumar, A., Luthra, S., Majumdar, A., & Kazancoglu, Y. (2022). An Exploratory State-of-the-Art Review of Artificial Intelligence Applications in Circular Economy using Structural Topic Modeling. Operations Management Research, 15(3–4), 609–626. https://doi.org/10.1007/s12063-021-00212-0
Alkaraan, F., Albitar, K., Hussainey, K., & Venkatesh, V. G. (2022). Corporate transformation toward Industry 4.0 and financial performance: The influence of environmental, social, and governance (ESG). Technological Forecasting and Social Change, 175. https://doi.org/10.1016/j.techfore.2021.121423
Alonso-Muñoz, S., González-Sánchez, R., Medina-Salgado, M.-S., & García-Muiña, F.-E. (2023). Technology development as a tool towards circularity: a research agenda. Economic Research-Ekonomska Istrazivanja , 36(2). https://doi.org/10.1080/1331677X.2022.2142636
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
Asgari, A., & Asgari, R. (2023). Designing circular innovation ecosystems: insights from stakeholders, values, and investment policies. Frontiers in Sustainability, 4. https://doi.org/10.3389/frsus.2023.1197688
Awan, U., Shamim, S., Khan, Z., Zia, N. U., Shariq, S. M., & Khan, M. N. (2021). Big data analytics capability and decision-making: The role of data-driven insight on circular economy performance. Technological Forecasting and Social Change, 168. https://doi.org/10.1016/j.techfore.2021.120766
Awan, U., Sroufe, R., & Shahbaz, M. (2021). Industry 4.0 and the circular economy: A literature review and recommendations for future research. Business Strategy and the Environment, 30(4), 2038–2060. https://doi.org/10.1002/bse.2731
Baas, J., Schotten, M., Plume, A., Côté, G., & Karimi, R. (2020). Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative Science Studies, 1(1), 377–386. https://doi.org/10.1162/qss_a_00019
Bag, S., Yadav, G., Dhamija, P., & Kataria, K. K. (2021). Key resources for industry 4.0 adoption and its effect on sustainable production and circular economy: An empirical study. Journal of Cleaner Production, 281. https://doi.org/10.1016/j.jclepro.2020.125233
Beier, G., Matthess, M., Guan, T., Grudzien, D. I. D. O. P., Xue, B., Lima, E. P. D., & Chen, L. (2022). Impact of Industry 4.0 on corporate environmental sustainability: Comparing practitioners’ perceptions from China, Brazil and Germany. Sustainable Production and Consumption, 31, 287–300. https://doi.org/10.1016/j.spc.2022.02.017
Bouillass, G., Saidani, M., Lameh, J., & Yannou, B. (2022). Digital Technologies to Advance Circular Economy at Territorial Level: Challenges and Solutions. 2022 IEEE 28th International Conference on Engineering, Technology and Innovation, ICE/ITMC 2022 and 31st International Association for Management of Technology, IAMOT 2022 Joint Conference - Proceedings. https://doi.org/10.1109/ICE/ITMC-IAMOT55089.2022.10033241
Byers, B. S., Raghu, D., Olumo, A., De Wolf, C., & Haas, C. (2024). From research to practice: A review on technologies for addressing the information gap for building material reuse in circular construction. Sustainable Production and Consumption, 45, 177–191. https://doi.org/10.1016/j.spc.2023.12.017
Carlos, R. L., de Souza, E. B., & Mattos, C. A. (2024). Enhancing circular economy practices through the adoption of digital technologies. Business Strategy and Development, 7(1). https://doi.org/10.1002/bsd2.330
Chaouni Benabdellah, A., Zekhnini, K., Cherrafi, A., Garza-Reyes, J. A., Kumar, A., & El Baz, J. (2023). Blockchain technology for viable circular digital supplychains: an integrated approach for evaluating the implementation barriers. Benchmarking, 30(10), 4397–4424. https://doi.org/10.1108/BIJ-04-2022-0240
Colombo, B., Boffelli, A., Colombo, J., Madonna, A., & Villa, S. (2023). How Can Digitalisation Support the Circular Economy? An Empirical Analysis from the Manufacturing Industry. In IFIP Advances in Information and Communication Technology: Vol. 692 AICT (pp. 72–84). https://doi.org/10.1007/978-3-031-43688-8_6
De Bernardi, P., Bertello, A., & Forliano, C. (2023). Circularity of food systems: a review and research agenda. British Food Journal, 125(3), 1094–1129. https://doi.org/10.1108/BFJ-05-2021-0576
de Pablos, P. O. (2022). Handbook of research on developing circular, digital, and green economies in Asia. In Handbook of Research on Developing Circular, Digital, and Green Economies in Asia. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132952453&partnerID=40&md5=5abf106ee6d0d527908436d22365cd88
Derviş, H. (2020). Bibliometric Analysis using Bibliometrix an R Package. Journal of Scientometric Research, 8(3), 156–160. https://doi.org/10.5530/jscires.8.3.32
Di Vaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121, 283–314. https://doi.org/10.1016/j.jbusres.2020.08.019
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
Dwivedi, Y. K., Sharma, A., Rana, N. P., Giannakis, M., Goel, P., & Dutot, V. (2023). Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions. Technological Forecasting and Social Change, 192. https://doi.org/10.1016/j.techfore.2023.122579
Ellen MacArthur Foundation. (2013). Towards the circular economy: Economic and business rationale for an accelerated transition. Ellen MacArthur Foundation. https://www.ellenmacarthurfoundation.org/towards-the-circular-economy-vol-1-an-economic-and-business-rationale-for-an
Espina-Romero, L. (2023). Collaboration and interdisciplinarity in scientific research: fostering synergy to address current challenges. IPSA Sci Rev Científica Multidiscip, 8(2), 8–9. https://doi.org/10.25214/27114406.1627
Espina-Romero, L., Noroño Sánchez, J. G., Gutierrez Hurtado, H., Dworaczek Conde, H., Solier Castro, Y., Cervera Cajo, L., & Rio Corredoira, J. (2023). Which Industrial Sectors Are Affected by Artificial Intelligence? A Bibliometric Analysis of Trends and Perspectives. Sustain., 15(16), 12176. https://doi.org/10.3390/su151612176
Fernando, Y., Tseng, M.-L., Nur, G. M., Ikhsan, R. B., & Lim, M. K. (2023). Practising circular economy performance in Malaysia: managing supply chain disruption and technological innovation capability under industry 4.0. International Journal of Logistics Research and Applications, 26(12), 1704–1727. https://doi.org/10.1080/13675567.2022.2107188
Fraga-Lamas, P., Lopes, S. I., & Fernández-Caramés, T. M. (2021). Green iot and edge AI as key technological enablers for a sustainable digital transition towards a smart circular economy: An industry 5.0 use case. Sensors, 21(17). https://doi.org/10.3390/s21175745
Hallioui, A., Herrou, B., Santos, R. S., Katina, P. F., & Egbue, O. (2022). Systems-based approach to contemporary business management: An enabler of business sustainability in a context of industry 4.0, circular economy, competitiveness and diverse stakeholders. Journal of Cleaner Production, 373. https://doi.org/10.1016/j.jclepro.2022.133819
Ingemarsdotter, E., Jamsin, E., & Balkenende, R. (2020). Opportunities and challenges in IoT-enabled circular business model implementation – A case study. Resources, Conservation and Recycling, 162. https://doi.org/10.1016/j.resconrec.2020.105047
Järvenpää, A.-M., Salminen, V., & Kantola, J. (2021). Industrial Symbiosis, Circular Economy and Industry 4.0 - A Case Study in Finland. Management and Production Engineering Review, 12(4), 111–121. https://doi.org/10.24425/mper.2021.139999
Jauhar, S., Pratap, S., Lakshay, Paul, S., & Gunasekaran, A. (2023). Internet of things based innovative solutions and emerging research clusters in circular economy. Operations Management Research, 16(4), 1968–1988. https://doi.org/10.1007/s12063-023-00421-9
Javeed, S. A., & Akram, U. (2024). The factors behind block-chain technology that boost the circular economy: An organizational perspective. Technological Forecasting and Social Change, 200. https://doi.org/10.1016/j.techfore.2023.123194
Kayikci, Y., Kazancoglu, Y., Gozacan-Chase, N., Lafci, C., & Batista, L. (2022). Assessing smart circular supply chain readiness and maturity level of small and medium-sized enterprises. Journal of Business Research, 149, 375–392. https://doi.org/10.1016/j.jbusres.2022.05.042
Kedir, F., & Hall, D. M. (2021). Resource efficiency in industrialized housing construction – A systematic review of current performance and future opportunities. Journal of Cleaner Production, 286. https://doi.org/10.1016/j.jclepro.2020.125443
Khan, F., & Ali, Y. (2022). A facilitating framework for a developing country to adopt smart waste management in the context of circular economy. Environmental Science and Pollution Research, 29(18), 26336–26351. https://doi.org/10.1007/s11356-021-17573-5
Khan, S. A. R., Piprani, A. Z., & Yu, Z. (2022). Digital technology and circular economy practices: future of supply chains. Operations Management Research, 15(3–4), 676–688. https://doi.org/10.1007/s12063-021-00247-3
Kouhizadeh, M., Zhu, Q., & Sarkis, J. (2020). Blockchain and the circular economy: potential tensions and critical reflections from practice. Production Planning and Control, 31(11–12), 950–966. https://doi.org/10.1080/09537287.2019.1695925
Kristoffersen, E., Blomsma, F., Mikalef, P., & Li, J. (2020). The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies. Journal of Business Research, 120, 241–261. https://doi.org/10.1016/j.jbusres.2020.07.044
Krstić, M., Agnusdei, G. P., Miglietta, P. P., & Tadić, S. (2022). Evaluation of the smart reverse logistics development scenarios using a novel MCDM model. Cleaner Environmental Systems, 7. https://doi.org/10.1016/j.cesys.2022.100099
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. https://doi.org/10.1016/j.jclepro.2020.124063
Kwilinski, A., Lyulyov, O., & Pimonenko, T. (2023). Environmental Sustainability within Attaining Sustainable Development Goals: The Role of Digitalization and the Transport Sector. Sustainability (Switzerland), 15(14). https://doi.org/10.3390/su151411282
Liu, L., Gong, X., Liu, S., Yang, Y., Duan, H., Jin, R., Li, M., Zhang, Y., & Jiang, P. (2023). The impact of Water Ecological Civilization City Pilot on urban green innovation: the case of China. Environmental Science and Pollution Research, 30(27), 70803–70816. https://doi.org/10.1007/s11356-023-27264-y
Llanos-Encalada, M., Correa-Vaca, A. M., & Calderón-Cisneros, J. (2024). Economía circular y sus prácticas en la región andina. Revista Venezolana de Gerencia, 29(107 SE-EN LA MIRA: Sostenibilidad y urbanismo), 1072–1092. https://doi.org/10.52080/rvgluz.29.107.5
Lv, Z., Chen, L., Ali, S. A., Muda, I., Alromaihi, A., & Boltayev, J. Y. (2024). Financial technologies, green technologies and natural resource nexus with sustainable development goals: Evidence from resource abundant economies using MMQR estimation. Resources Policy, 89. https://doi.org/10.1016/j.resourpol.2024.104649
Lyu, Y., Wang, W., Wu, Y., & Zhang, J. (2023). How does digital economy affect green total factor productivity? Evidence from China. Science of the Total Environment, 857. https://doi.org/10.1016/j.scitotenv.2022.159428
Makarova, I., Shubenkova, K., & Pashkevich, A. (2018). The Concept of the Decision Support System to Plan the Reverse Logistics in Automotive Industry. 2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 1–6. https://doi.org/10.23919/SOFTCOM.2018.8555760
Meyer, D. Z., & Avery, L. M. (2009). Excel as a Qualitative Data Analysis Tool. Field Methods, 21(1), 91–112. https://doi.org/10.1177/1525822X08323985
Moparthi, S. S., Gokul Krishna, L., Karyappa, R., & Upadhyay, R. (2024). 3D printed meat and the fundamental aspects affecting printability. Journal of Texture Studies, 55(1). https://doi.org/10.1111/jtxs.12805
Nandi, S., Sarkis, J., Hervani, A. A., & Helms, M. M. (2021). Redesigning Supply Chains using Blockchain-Enabled Circular Economy and COVID-19 Experiences. Sustainable Production and Consumption, 27, 10–22. https://doi.org/10.1016/j.spc.2020.10.019
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
Nationsonline. (2014). Nations Online. Nations Online Project. https://nationsonline.org/oneworld/sitemap.htm
Opazo-Basáez, M., Vendrell-Herrero, F., & Bustinza, O. F. (2018). Uncovering productivity gains of digital and green servitization: Implications from the automotive industry. Sustainability (Switzerland), 10(5). https://doi.org/10.3390/su10051524
Pal, R., & Jayarathne, A. (2022). Digitalization in the textiles and clothing sector. In The Digital Supply Chain (pp. 255–271). https://doi.org/10.1016/B978-0-323-91614-1.00015-0
Parida, V., Sjödin, D., & Reim, W. (2019). Reviewing literature on digitalization, business model innovation, and sustainable industry: Past achievements and future promises. Sustainability (Switzerland), 11(2). https://doi.org/10.3390/su11020391
Patyal, V. S., Sarma, P. R. S., Modgil, S., Nag, T., & Dennehy, D. (2022). Mapping the links between Industry 4.0, circular economy and sustainability: a systematic literature review. Journal of Enterprise Information Management, 35(1), 1–35. https://doi.org/10.1108/JEIM-05-2021-0197
Pedrazzoli, P., Sorlini, M., Rovere, D., Lazaro, O., Malò, P., & Fiorello, M. (2022). Challenges and Founding Pillars for a Manufacturing Platform to Support Value Networks Operating in a Circular Economy Framework. Applied Sciences (Switzerland), 12(6). https://doi.org/10.3390/app12062995
Pirrone, L., Bionda, A., & Ratti, A. (2024). How Digital Technologies Can Support Sustainability of the Waterborne Passenger Mobility Ecosystem: A Case Study Analysis of Smart Circular Practices in Northern Europe. Sustainability (Switzerland), 16(1). https://doi.org/10.3390/su16010353
Pranckutė, R. (2021). Web of Science (WoS) and Scopus: the titans of bibliographic information in today’s academic world. Publications, 9(1). https://doi.org/10.3390/publications9010012
Putinceva, N., Kim, O., Voronina, E., Fugalevich, E., Mikhailova, M., & Ushakova, E. (2020). Introduction of innovative technologies - A factor in the development of the waste management industry in Russia. IOP Conference Series: Materials Science and Engineering, 940(1). https://doi.org/10.1088/1757-899X/940/1/012024
Quayson, M., Bai, C., Sun, L., & Sarkis, J. (2023). Building blockchain-driven dynamic capabilities for developing circular supply chain: Rethinking the role of sensing, seizing, and reconfiguring. Business Strategy and the Environment, 32(7), 4821–4840. https://doi.org/10.1002/bse.3395
Sánchez-Teba, E. M., Gemar, G., & Soler, I. P. (2021). From quantifying to managing food loss in the agri-food industry supply chain. Foods, 10(9). https://doi.org/10.3390/foods10092163
Sendros, A., Drosatos, G., Efraimidis, P. S., & Tsirliganis, N. C. (2022). Blockchain Applications in Agriculture: A Scoping Review. Applied Sciences (Switzerland), 12(16). https://doi.org/10.3390/app12168061
Shafique, M. N., Rashid, A., Yeo, S. F., & Adeel, U. (2023). Transforming Supply Chains: Powering Circular Economy with Analytics, Integration and Flexibility Using Dual Theory and Deep Learning with PLS-SEM-ANN Analysis. Sustainability (Switzerland), 15(15). https://doi.org/10.3390/su151511979
Sood, S. K., Rawat, K. S., & Sharma, G. (2022). Role of Enabling Technologies in Soft Tissue Engineering: A Systematic Literature Review. IEEE Engineering Management Review, 50(4), 155–169. https://doi.org/10.1109/EMR.2022.3195923
Svensson-Hoglund, S., Russell, J. D., & Richter, J. L. (2023). A Process Approach to Product Repair from the Perspective of the Individual. Circular Economy and Sustainability, 3(3), 1327–1359. https://doi.org/10.1007/s43615-022-00226-1
Tang, L., Jiang, H., Hou, S., Zheng, J., & Miao, L. (2023). The Effect of Enterprise Digital Transformation on Green Technology Innovation: A Quantitative Study on Chinese Listed Companies. Sustainability (Switzerland), 15(13). https://doi.org/10.3390/su151310036
Torres de Oliveira, R., Ghobakhloo, M., & Figueira, S. (2023). Industry 4.0 towards social and environmental sustainability in multinationals: Enabling circular economy, organizational social practices, and corporate purpose. Journal of Cleaner Production, 430. https://doi.org/10.1016/j.jclepro.2023.139712
Toth-Peter, A., Torres de Oliveira, R., Mathews, S., Barner, L., & Figueira, S. (2023). Industry 4.0 as an enabler in transitioning to circular business models: A systematic literature review. Journal of Cleaner Production, 393. https://doi.org/10.1016/j.jclepro.2023.136284
Trevisan, A. H., Lobo, A., Guzzo, D., Gomes, L. A. D. V., & Mascarenhas, J. (2023). Barriers to employing digital technologies for a circular economy: A multi-level perspective. Journal of Environmental Management, 332. https://doi.org/10.1016/j.jenvman.2023.117437
Vann Yaroson, E., Chowdhury, S., Mangla, S. K., Dey, P., Chan, F. T. S., & Roux, M. (2024). A systematic literature review exploring and linking circular economy and sustainable development goals in the past three decades (1991–2022). International Journal of Production Research, 62(4), 1399–1433. https://doi.org/10.1080/00207543.2023.2270586
Yin, W. (2023). Does digital transformation matter to green innovation: based on TOE framework and configuration perspective. Environmental Science and Pollution Research, 30(44), 100046–100057. https://doi.org/10.1007/s11356-023-29438-0
Zheng, P., Wang, Z., Chen, C.-H., & Pheng Khoo, L. (2019). A survey of smart product-service systems: Key aspects, challenges and future perspectives. Advanced Engineering Informatics, 42. https://doi.org/10.1016/j.aei.2019.100973
Zupic, I., & Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629

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