More than reporting: enterprise resource planning as enabler of business model transformation for climate change mitigation
DOI: https://doi.org/10.3846/jbem.2026.26451Abstract
Enterprise resource planning (ERP) systems are evolving to support organisations in addressing their climate impact. Yet, there is a paucity of empirical and cross-sectoral data on how these solutions can mitigate organisations’ negative climate impact through changes in business models. By focusing on a dataset of ERP-related patents published between 2020 and 2024, within a climate change classification, this study aims to shed light on how ERP-based solutions can enable business model transformation to improve environmental performance and to investigate Industry 4.0 technologies that facilitate such mitigations. Through a pragmatic inductive approach employing mixed methods, the study uncovers three main areas of business model transformation for climate change mitigation: production optimisation, sustainability management and monitoring, and supply chain performance improvement. While most of the examined patents prioritise production optimisation, the findings reveal the emergence of novel applications designed to enhance organisational sustainability management and monitoring. Furthermore, the research emphasises unexploited opportunities to enhance ERPs through the integration of Industry 4.0 technologies. This study provides a substantial contribution to the existing literature by focusing on a significant yet underexplored area: ERP-based solutions designed to enable business model transformation to mitigate climate change, with implications for researchers, organisational adopters, and system developers.
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enterprise resource planning (ERP), climate change mitigation, business model transformation, patent data analysis, sustainable development goals (SDGs), Industry 4.0 technologiesHow to Cite
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References
Abobakr, M. A., Abdel-Kader, M., & Elbayoumi, A. F. (2023). Integrating S-ERP systems and lean manufacturing practices to improve sustainability performance: An institutional theory perspective. Journal of Accounting in Emerging Economies, 13(5), 870–897. https://doi.org/10.1108/JAEE-10-2020-0255
Abobakr, M. A., Abdel-Kader, M., & F. Elbayoumi, A. F. (2026). An experimental investigation of the impact of sustainable ERP systems implementation on sustainability performance. Journal of Financial Reporting and Accounting, 24(2), 970–990. https://doi.org/10.1108/JFRA-04-2023-0207
Agarwal, P. (2024). Harnessing the power of enterprise resource planning (ERP) and customer relationship management (CRM) systems for sustainable business practices. International Journal of Computer Trends and Technology, 72(4), 102–110. https://doi.org/10.14445/22312803/IJCTT-V72I4P113
Alzahmi, W., Al-Assaf, K., Alshaikh, R., & Bahroun, Z. (2025). Towards sustainable ERP systems: Emerging trends, challenges, and future pathways. Management Systems in Production Engineering, 33(1), 24–38. https://doi.org/10.2478/mspe-2025-0003
Anaya, L., Hustad, E., & Olsen, D. H. (2025). How do ERP systems contribute to sustainable development? A case study of two Middle Eastern enterprises. Procedia Computer Science, 256, 407–414. https://doi.org/10.1016/j.procs.2025.02.136
Anjaria, K. (2024). Enhancing sustainability integration in sustainable enterprise resource planning (S-ERP) system: Application of transaction cost theory and case study analysis. International Journal of Information Management Data Insights, 4(2), Article 100243. https://doi.org/10.1016/j.jjimei.2024.100243
Azevedo, P., Gomes, J., & Romão, M. (2023). Supply chain traceability using blockchain. Operations Management Research, 16(3), 1359–1381. https://doi.org/10.1007/s12063-023-00359-y
Backer, C. R., Slaman, M., Haddara, M., & Langseth, M. (2023). Towards sustainable ERP systems: Bridging the gap between current capabilities and future potential. In K. Arai (Ed.), Lecture notes in computer science: Vol. 816. Proceedings of the Future Technologies Conference (FTC) 2023, Volume 4 (pp. 216–242). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-47448-4_16
Barth, C., & Koch, S. (2019). Critical success factors in ERP upgrade projects. Industrial Management & Data Systems, 119(3), 656–675. https://doi.org/10.1108/IMDS-01-2018-0016
Bartwal, S., & Kumar, R. (2025). Servitisation 4.0 for circular economy: A review study of use cases for resource-wise manufacturing. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-025-16109-2
Bhattacharya, M., Ramakrishnan, T., & Fosso Wamba, S. (2023). Leveraging ERP systems for improving ERP effectiveness in emergency service organisations: An empirical study. Business Process Management Journal, 29(3), 710–736. https://doi.org/10.1108/BPMJ-06-2022-0303
Bocken, N. M. P., & Geradts, T. H. J. (2022). Designing your circular business model. Stanford Social Innovation Review, 20, Article 3439. https://doi.org/10.48558/3NZN-SZ76
Bocken, N. M. P., De Pauw, I., Bakker, C., & Van Der Grinten, B. (2016). Product design and business model strategies for a circular economy. Journal of Industrial and Production Engineering, 33(5), 308–320. https://doi.org/10.1080/21681015.2016.1172124
Bodkhe, U., Tanwar, S., Parekh, K., Khanpara, P., Tyagi, S., Kumar, N., & Alazab, M. (2020). Blockchain for Industry 4. 0: A comprehensive review. IEEE Access, 8, 79764–79800. https://doi.org/10.1109/ACCESS.2020.2988579
Chen, D., Che, S., Wang, X., He, W., & Li, W. (2023). Circuit board detection method and device, equipment, storage medium and product (China Patent No. CN116051445A). China National Intellectual Property Administration. https://worldwide.espacenet.com/patent/search/family/086127785/publication/CN116051445A?q=CN116051445A&queryLang=en%3Ade%3Afr
Chofreh, A. G., Goni, F. A., Klemeš, J. J., Malik, M. N., & Khan, H. H. (2020). Development of guidelines for the implementation of sustainable enterprise resource planning systems. Journal of Cleaner Production, 244, Article 118655. https://doi.org/10.1016/j.jclepro.2019.118655
Chofreh, A. G., Goni, F. A., Shaharoun, A. M., Ismail, S., & Klemeš, J. J. (2014). Sustainable enterprise resource planning: Imperatives and research directions. Journal of Cleaner Production, 71, 139–147. https://doi.org/10.1016/j.jclepro.2014.01.010
Chou, H.-W., Chang, H.-H., Lin, Y.-H., & Chou, S.-B. (2014). Drivers and effects of post-implementation learning on ERP usage. Computers in Human Behavior, 35, 267–277. https://doi.org/10.1016/j.chb.2014.03.012
Da Silva, R. R., Dias, T. M. R., & De Carvalho Segundo, W. L. R. (2024). Collection and integration of patent data for analysis and validation of Brazilian technical production. Mobile Networks and Applications, 29(3), 742–753. https://doi.org/10.1007/s11036-023-02234-3
Daim, T., Yalcin, H., & Mermoud, A. (2024). Monitoring cybersecurity technology through the years: A technology mining approach through bibliometrics and patent analysis. Journal of Cyber Security Technology, 10(1), 1–37. https://doi.org/10.1080/23742917.2024.2400729
Dambrin, C., & Grall, B. (2021). La fabrication de la sous-utilisation des outils de gestion: Une étude longitudinale d’un progiciel CRM. Comptabilité Contrôle Audit, 27(3), 101–136. https://doi.org/10.3917/cca.273.0101
Dragomir, V. D., & Dumitru, M. (2024). The state of the research on circular economy in the European Union: A bibliometric review. Cleaner Waste Systems, 7, Article 100127. https://doi.org/10.1016/j.clwas.2023.100127
Dumitru, V. F., Ionescu, B.-Ș., Rîndașu, S.-M., Barna, L.-E.-L., & Crîjman, A.-M. (2023). Implications for sustainability accounting and reporting in the context of the automation-driven evolution of ERP systems. Electronics, 12(8), Article 1819. https://doi.org/10.3390/electronics12081819
El Haouat, Z., Essalih, S., Bennouna, F., Ramadany, M., & Amegouz, D. (2024). Environmental optimisation and operational efficiency: Analysing the integration of life cycle assessment (LCA) into ERP systems in Moroccan companies. Results in Engineering, 22, Article 102131. https://doi.org/10.1016/j.rineng.2024.102131
European Patent Office. (n.d). CPC classification of the application. https://www.epo.org/en/legal/guidelines-epc/2025/b_v_4.html
Forman, J., & Damschroder, L. (2007). Qualitative content analysis. Advances in Bioethics, 11, 39–62. https://doi.org/10.1016/S1479-3709(07)11003-7
Franke, S., & Riedel, R. (2023). Modeling human problem-solving behavior in complex production systems. In E. Alfnes, A. Romsdal, J. O. Strandhagen, G. Von Cieminski, & D. Romero (Eds.), Advances in production management systems. Production management systems for responsible manufacturing, service, and logistics futures (Vol. 689, pp. 602–616). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43662-8_43
Gallego-Schmid, A., Chen, H.-M., Sharmina, M., & Mendoza, J. M. F. (2020). Links between circular economy and climate change mitigation in the built environment. Journal of Cleaner Production, 260, Article 121115. https://doi.org/10.1016/j.jclepro.2020.121115
Gartner (2020). Gartner Glossary – Postmodern ERP. Gartner. https://www.gartner.com/en/information-technology/glossary/postmodern-erp
Groenewald, D., & Okanga, B. (2019). Optimising enterprise resource planning system to leverage a firm’s absorptive and adaptive capabilities. SA Journal of Information Management, 21(1). https://doi.org/10.4102/sajim.v21i1.962
Gupta, M., & Kohli, A. (2006). Enterprise resource planning systems and its implications for operations function. Technovation, 26(5–6), 687–696. https://doi.org/10.1016/j.technovation.2004.10.005
Hao, N., & Dragomir, V. D. (2024). Sustainable business models in the European energy sector. In The 7th International Conference on Economics and Social Sciences (pp. 111–122). https://doi.org/10.24818/ICESS/2024/013
Häusler, C., Peschen, A., Schulz, S., & Masternak, D. (2023). System and method for optimizing multiple at least partially interlinked production installations and/or processes of a metallurgical installation, in particular over the entire life and/or the entire metallurgical process chain (United States Patent No. US2023176554A1). United States Patent and Trademark Office. https://worldwide.espacenet.com/patent/search/family/075377742/publication/US2023176554A1?q=US2023176554A1&queryLang=en%3Ade%3Afr
He, Y., Zhang, A., Xie, Y., Zhang, J., Yang, X. (2021). Product manufacturing reliability degradation root cause identification method based on QFD decomposition and extended RPN value (China Patent No. CN113094827A). China National Intellectual Property Administration. https://worldwide.espacenet.com/patent/search/family/076672811/publication/CN113094827A?q=CN113094827A&queryLang=en%3Ade%3Afr
Hitt, L. M., Wu, D. J., & Zhou, X. (2002). Investment in enterprise resource planning: Business impact and productivity measures. Journal of Management Information Systems, 19(1), 71–98. https://doi.org/10.1080/07421222.2002.11045716
Huang, R. (2023). Enterprise carbon emission monitoring system and method (China, Patent No. CN116228171A). China National Intellectual Property Administration. https://worldwide.espacenet.com/patent/search/family/086569853/publication/CN116228171A?q=CN116228171A&queryLang=en%3Ade%3Afr
IBM. (n.d). What is Industry 4.0 and how does it work?. https://www.ibm.com/think/topics/industry-4-0
Jaradat, Z., AL-Hawamleh, A., Altarawneh, M., Al-Tahat, S., & Akram Nazzal, M. (2025). Effects of effective ERP system utilisation on enterprise economic sustainability through product life cycle cost control. Journal of Business and Socio-Economic Development, 5(3), 240–258. https://doi.org/10.1108/JBSED-10-2024-0103
Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2021). Significant applications of big data in industry 4.0. Journal of Industrial Integration and Management, 6(4), 429–447. https://doi.org/10.1142/S2424862221500135
Jinhong, Y. (2023). Method and system for managing carbon emission using blockchain (South Korea Patent No. KR20230068574A). Korean Intellectual Property Office. https://worldwide.espacenet.com/patent/search/family/086545489/publication/KR20230068574A?q=KR20230068574A&queryLang=en%3Ade%3Afr
Katuu, S. (2020). Enterprise resource planning: Past, present, and future. New Review of Information Networking, 25(1), 37–46. https://doi.org/10.1080/13614576.2020.1742770
Lara-Pérez, J. A., Canibe-Cruz, F., & Rubio, P. R. (2024). Scientific mapping of business intelligence and enterprise resource planning from 2003 to 2022. Business Management, 34(3). https://doi.org/10.58861/tae.bm.2024.3.02
Latif, S., Salleh, S. I. M., Ahmad, B., & Saif, F. (2025). ERP adoption and strengthening of management accounting and controls at a Pakistani manufacturing SME: A case study approach. South Asian Journal of Business and Management Cases, 14(2), 145–161. https://doi.org/10.1177/22779779251349974
Leal Filho, W., Frizzo, K., Eustachio, J. H. P. P., Tsani, S., & Özuyar, P. G. (2024). Integrating climate change practices in a circular economy context—The perspective from chemical enterprises. Sustainable Development, 32(3), 2489–2505. https://doi.org/10.1002/sd.2796
Leoveanu-Soare, B.-E., & Nimerenco, I. (2025). Mapping environmentally sustainable business: A bibliometric analysis. In A. M. Dima & C. Badarinza (Eds.), Innovative approaches in economics, leadership, and technology (pp. 111–124). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-86989-1_9
Maas, J., Van Fenema, P. C., & Soeters, J. (2014). ERP system usage: The role of control and empowerment. New Technology, Work and Employment, 29(1), 88–103. https://doi.org/10.1111/ntwe.12021
Mondal, S., Uyen, N. C. T., Das, S., & Vrana, V. G. (2025). Innovation dynamics and ethical considerations of agentic artificial intelligence in the transition to a net-zero carbon economy. Sustainability, 17(19), Article 8806. https://doi.org/10.3390/su17198806
Morawiec, P., & Sołtysik-Piorunkiewicz, A. (2023). ERP system development for business agility in industry 4.0 – A literature review based on the toe framework. Sustainability, 15(5), Article 4646. https://doi.org/10.3390/su15054646
Nazemi, E., Tarokh, M. J., & Djavanshir, G. R. (2012). ERP: A literature survey. The International Journal of Advanced Manufacturing Technology, 61(9–12), 999–1018. https://doi.org/10.1007/s00170-011-3756-x
O’Connor, C., & Joffe, H. (2020). Intercoder reliability in qualitative research: Debates and practical guidelines. International Journal of Qualitative Methods, 19, 1609406919899220. https://doi.org/10.1177/1609406919899220
O’Keeffe, S., Stein, S., Curran, M., Baumgart, L., Zikeli, S., & Siegmund-Schultze, M. (2025). How to square the circle? A conceptual framework synergising strategies for circular agriculture to tackle climate change and enhance overall on-farm sustainability. Ambio, 54(8), 1334–1352. https://doi.org/10.1007/s13280-025-02154-4
Ojadi, J. O., Odionu, C. S., Onukwulu, E. C., & Owulade, O. A. (2024). Big data analytics and ai for optimising supply chain sustainability and reducing greenhouse gas emissions in logistics and transportation. International Journal of Multidisciplinary Research and Growth Evaluation, 5(1), 1536–1548. https://doi.org/10.54660/.IJMRGE.2024.5.1.1536-1548
Okey, O. D., Udo, E. U., Rosa, R. L., Rodríguez, D. Z., & Kleinschmidt, J. H. (2023). Investigating ChatGPT and cybersecurity: A perspective on topic modeling and sentiment analysis. Computers & Security, 135, Article 103476. https://doi.org/10.1016/j.cose.2023.103476
Pascucci, F., Pizzichini, L., Sabatini, A., Temperini, V., & Mueller, J. (2024). Knowledge-based dynamic capabilities for managing paradoxical tensions in circular business model innovation: An empirical exploration of an incumbent firm. Journal of Knowledge Management, 28(11), 255–282. https://doi.org/10.1108/JKM-01-2024-0108
Perau, M., Seker, D., Schröer, T., & Schuh, G. (2023). Gap analysis for CO2 accounting tool by integrating enterprise resource planning system information. In E. Alfnes, A. Romsdal, J. O. Strandhagen, G. Von Cieminski, & D. Romero (Eds.), Advances in production management systems. Production management systems for responsible manufacturing, service, and logistics futures (Vol. 692, pp. 58–71). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43688-8_5
Praharaj, A., & Chhatoi, B. P. (2025). Enterprise resource planning (ERP) in business: A contextual snapshot. Global Knowledge, Memory and Communication. https://doi.org/10.1108/GKMC-07-2024-0453
Pugna, I. B., & Boldeanu, D. M. (2025). The role of ERP systems in driving corporate sustainability. Proceedings of the International Conference on Business Excellence, 19(1), 402–412. https://doi.org/10.2478/picbe-2025-0033
Qureshi, M. R. N. M. (2022). Evaluating enterprise resource planning (ERP) implementation for sustainable supply chain management. Sustainability, 14(22), Article 14779. https://doi.org/10.3390/su142214779
Rainville, A., Dikker, I., & Buggenhagen, M. (2025). Tracking innovation via green patent classification systems: Are we truly capturing circular economy progress? Journal of Cleaner Production, 486, Article 144385. https://doi.org/10.1016/j.jclepro.2024.144385
Rao, W. (2024). BOM table data processing method and device, equipment and storage medium (China Patent No. CN118446781A). China National Intellectual Property Administration.
Rashid, M. A., Hossain, L., & Patrick, J. D. (2002). The evolution of ERP systems: A historical perspective. In F. F.-H. Nah (Ed.), Enterprise resource planning (pp. 35–50). IGI Global. https://doi.org/10.4018/978-1-930708-36-5.ch003
Robert Jacobs, F., & ‘Ted’ Weston, F. C. (2007). Enterprise resource planning (ERP) – A brief history. Journal of Operations Management, 25(2), 357–363. https://doi.org/10.1016/j.jom.2006.11.005
Roberts, K., Dowell, A., & Nie, J.-B. (2019). Attempting rigour and replicability in thematic analysis of qualitative research data; a case study of codebook development. BMC Medical Research Methodology, 19(1), Article 66. https://doi.org/10.1186/s12874-019-0707-y
Rodriguez, R., Molina-Castillo, F.-J., & Svensson, G. (2019). Enterprise resource planning and business model innovation: Process, evolution and outcome. European Journal of Innovation Management, 23(4), 728–752. https://doi.org/10.1108/EJIM-04-2019-0092
Sadeghi R, K., Ojha, D., & Azadegan, A. (2025). Data systems in supply chain resilience: Moderated moderating effects of enterprise resource planning. Industrial Management & Data Systems, 125(4), 1437–1463. https://doi.org/10.1108/IMDS-08-2024-0752
Saebi, T., Lien, L., & Foss, N. J. (2017). What drives business model adaptation? The impact of opportunities, threats and strategic orientation. Long Range Planning, 50(5), 567–581. https://doi.org/10.1016/j.lrp.2016.06.006
Sardinas, J. L. (1981). Computing today: An introduction to business data processing. Prentice-Hall.
Scapens, R. W., & Jazayeri, M. (2003). ERP systems and management accounting change: Opportunities or impacts? A research note. European Accounting Review, 12(1), 201–233. https://doi.org/10.1080/0963818031000087907
Selezneva, A., Veselova, A., & Anand, A. (2025). Business model transformation: What is known and what is to be further developed? International Journal of Emerging Markets, 20(4), 1373–1392. https://doi.org/10.1108/IJOEM-08-2022-1282
Setiawan, D., Rahmawati, I. P., & Santoso, A. (2023). A bibliometric analysis of evolving trends in climate change and accounting research. Cogent Business & Management, 10(3), Article 2267233. https://doi.org/10.1080/23311975.2023.2267233
She, R.-X., Lin, Q.-Y., Zhang, Y.-R., & Lu, H. C. (2022). Information management system integrating optimized decision making of smart manufacturing and carbon emission including a carbon emission database, a carbon emission optimization system and an enterprise resource planning system (Taiwan Patent No. TWI776596B). Taiwan Intellectual Property Office. https://worldwide.espacenet.com/patent/search/family/084957931/publication/TWI776596B?q=TWI776596B&queryLang=en%3Ade%3Afr
Shen, S. (2022). Product supply inventory management method based on ERP system (China Patent No. CN114926127A). China National Intellectual Property Administration.
Singh, S., & Goyal, M. K. (2023). Enhancing climate resilience in businesses: The role of artificial intelligence. Journal of Cleaner Production, 418, Article 138228. https://doi.org/10.1016/j.jclepro.2023.138228
Sislian, L., & Jaegler, A. (2022). Linkage of blockchain to enterprise resource planning systems for improving sustainable performance. Business Strategy and the Environment, 31(3), 737–750. https://doi.org/10.1002/bse.2914
Štreimikienė, D., Mikalauskienė, A., & Macijauskaitė-Daunaravičienė, U. (2022). Role of information management in implementing the Green Deal in the EU and the US. Journal of International Studies, 15(4), 9–27. https://doi.org/10.14254/2071-8330.2022/15-4/1
Streimikiene, D., & Stankuniene, G. (2024). Climate change mitigation measure in households. Economics and Sociology, 17(4), 82–102. https://doi.org/10.14254/2071-789X.2024/17-4/5
Teece, D. J. (2023). The evolution of the dynamic capabilities framework. In R. Adams, D. Grichnik, A. Pundziene, & C. Volkmann (Eds.), Artificiality and sustainability in entrepreneurship: Exploring the unforeseen, and paving the way to a sustainable future (pp. 113–129). Springer International Publishing. https://doi.org/10.1007/978-3-031-11371-0_6
Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z
Tey, Y. S., Brindal, M., Darham, S., & Zainalabidin, S. M. (2024). Adaptation technologies for climate-smart agriculture: A patent network analysis. Mitigation and Adaptation Strategies for Global Change, 29(2), Article 15. https://doi.org/10.1007/s11027-024-10111-x
Tsai, W.-H. (2023). Balancing profit and environmental sustainability with carbon emissions management and industry 4. 0 technologies. Energies, 16(17), Article 6175. https://doi.org/10.3390/en16176175
Turner, C., Oyekan, J., Garn, W., Duggan, C., & Abdou, K. (2022). Industry 5.0 and the circular economy: Utilising LCA with intelligent products. Sustainability, 14(22), Article 14847. https://doi.org/10.3390/su142214847
Varma, A., Mancini, D., & Kaushik, S. (2024). Sustainability reporting: How consistency and interdependence in financial and managerial accounting enhance eco‐controls. Journal of Public Affairs, 24(1), Article e2910. https://doi.org/10.1002/pa.2910
Voda, A. I., Șoitu, D. T., & Cojocaru, D. C. (2025). Exploring the dynamics of knowledge ecosystem: A systematic literature review. In A. M. Dima & C. Badarinza (Eds.), Innovative approaches in economics, leadership, and technology (pp. 13–32). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-86989-1_2
Wang, H., Jiang, X., & Zhou, W. (2023). Material taking method, material taking system, electronic equipment and storage medium (China Patent No. CN116011782A). China National Intellectual Property Administration. https://worldwide.espacenet.com/patent/search/family/086026746/publication/CN116011782A?q=CN116011782A&queryLang=en%3Ade%3Afr
Wang, Y. (2024). Full-link enterprise digital intelligence system and method based on block chain big data (China Patent No. CN117495243A). China National Intellectual Property Administration. https://worldwide.espacenet.com/patent/search/family/089673357/publication/CN117495243A?q=CN117495243A&queryLang=en%3Ade%3Afr
World Economic Forum. (2022). The circular economy: How it can lead us on a path to real change. https://www.weforum.org/stories/2022/05/the-circular-economy-how-it-can-be-a-path-to-real-change/
Wustmans, M., Haubold, T., & Bruens, B. (2022). Bridging trends and patents: Combining different data sources for the evaluation of innovation fields in blockchain technology. IEEE Transactions on Engineering Management, 69(3), 825–837. https://doi.org/10.1109/TEM.2020.3043478
Xie, F., Zhou, F., Guo Z, & Li, Z. (2024). Drug data storage method, device and equipment and storage medium (China Patent No. CN117575482A). China National Intellectual Property Administration. https://worldwide.espacenet.com/patent/search/family/089889580/publication/CN117575482A?q=CN117575482A
Yuan, X., & Cai, Y. (2021). Forecasting the development trend of low emission vehicle technologies: Based on patent data. Technological Forecasting and Social Change, 166, Article 120651. https://doi.org/10.1016/j.techfore.2021.120651
Yurtay, Y. (2025). Carbon footprint management with industry 4.0 technologies and ERP systems in sustainable manufacturing. Applied Sciences, 15(1), Article 480. https://doi.org/10.3390/app15010480
Zhang, X., Liu, H., & Yang, F. (2025). Enhanced traffic carbon emissions data sharing and modeling via blockchain and personalised federated learning in IIOT ecosystem. IEEE Internet of Things Journal, 12(15), 31064–31077. https://doi.org/10.1109/JIOT.2025.3571952
Zongyuan, L., & Haiyan, H. (2024). The impact of ERP assimilation on mass customisation capability: A dynamic capabilities view. IEEE Access, 12, 36778–36792. https://doi.org/10.1109/ACCESS.2024.3364390
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