The DOI matches its Crossref record; 61 of the 62 references it cites were found in a registry or an index.
Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Despite the widely acknowledged possibilities that an integration of the CE and I4.0 can offer [34], there are no papers that examine this at a comprehensive review level.”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [34]
In the citing paper
“I4.0 has been widely accepted to be an enabler of the CE [34]”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [34]
In the citing paper
“According to [34], the topic nature of both subjects would suggest the reason for the gap in research.”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [34]
In the citing paper
“Similarly, the possibility of integrating CE principles and I4.0 can be seen in already existing product models, such as the tracking of products during use and post-consumption in order to recover components [34] or extension of the life of components.”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [34]
In the citing paper
“This research is developed from the argument that I4.0 technologies, also referred to as 'digital technologies', are able to enable circular approaches and hence, the CE.”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [34]
In the citing paper
“As I4.0 presents a number of specialist domains and technologies within cyber-physical systems, cloud computing/manufacturing, additive manufacturing, and the Internet of Things [34], which are rapidly evolving, the synthesis of I4.0 and CE approaches will be driven by various actors: academia, the government, industry, and end-users of which there would be users and lead-users [141] .”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [34]
Citations
Cites
DiMaggio, P. J., & Powell, W. W. (1983) · American Sociological Review · doi:10.2307/2095101 · Cited by 38,435
DiMaggio, P., & Powell, W. W. (2004) · Advances in strategic management · doi:10.1016/s0742-3322(00)17011-1 · Cited by 25,973
(2010) · Cited by 24,023
The Internet of Things: A survey
Atzori, L., Iera, A., & Morabito, G. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.010 · Cited by 15,613
The resource-based theory of competitive advantage: Implications for strategy formulation
Grant, R. M. (1991) · California Management Review · doi:10.2307/41166664 · Cited by 9,699
The Circular Economy–A new sustainability paradigm?
Geissdoerfer, M., Savaget, P., Bocken, N. M. P., & Hultink, E. J. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2016.12.048 · Cited by 9,360
DiMaggio, P. (1983) · American Sociological Review · Cited by 9,078
Ghisellini, P., Cialani, C., & Ulgiati, S. (2016) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2015.09.007 · Cited by 6,536
Internet of Things in industries: A survey
Xu, L. D., He, W., & Li, S. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2300753 · Cited by 5,172
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
Lee, J., Bagheri, B., & Kao, H.-A. (2015) · Manufacturing Letters · doi:10.1016/j.mfglet.2014.12.001 · Cited by 5,113
Cited by
Sorted by citations
Items 301–400 of 1,000
Sharma, M., Raut, R. D., Sehrawat, R., & Ishizaka, A. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.118501 · Cited by 80
Khan, S. A. R., Ahmad, Z., Sheikh, A. A., & Yu, Z. (2023) · International Journal of Innovation Science · doi:10.1108/ijis-10-2022-0199 · Cited by 73
Liu, Y., Farooque, M., Lee, C.-H., Gong, Y., & Zhang, A. (2023) · International Journal of Production Economics · doi:10.1016/j.ijpe.2023.108866 · Cited by 74
Ghaithan, A. M., Khan, M. A., Mohammed, A., & Hadidi, L. A. (2021) · Sustainability · doi:10.3390/su132011252 · Cited by 92
A comprehensive review on the impact of Industry 4.0 on the development of a sustainable environment
Shabur, M. A. (2024) · Discover Sustainability · doi:10.1007/s43621-024-00290-7 · Cited by 72
Nimawat, D., & Gidwani, B. D. (2021) · Benchmarking An International Journal · doi:10.1108/bij-08-2020-0429 · Cited by 72
Industry 4.0 model for integrated circular economy-reverse logistics network
Rajput, S., & Singh, S. P. (2021) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2021.1926950 · Cited by 71
Ahmed, A. A., Nazzal, M. A., & Darras, B. M. (2021) · International Journal of Precision Engineering and Manufacturing-Green Technology · doi:10.1007/s40684-021-00398-5 · Cited by 71
Dasaklis, T. K., Casino, F., & Patsakis, C. (2020) · International Conference on Information, Intelligence, Systems & Applications (IISA) · doi:10.1109/iisa50023.2020.9284394 · Cited by 70
Industry 4.0 impacts on responsible environmental and societal management in the family business
Kazançoğlu, Y., Sezer, M. D., Özkan-Özen, Y. D., Mangla, S. K., & Kumar, A. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121108 · Cited by 70
Towards Zero Solid Waste in the Sedimentary Phosphate Industry: Challenges and Opportunities
Taha, Y., Elghali, A., Hakkou, R., & Benzaazoua, M. (2021) · Minerals · doi:10.3390/min11111250 · Cited by 70
Shukla, M. P., & Shankar, R. (2021) · Computers & Industrial Engineering · doi:10.1016/j.cie.2021.107865 · Cited by 75
Parhi, S., Joshi, K., Gunasekaran, A., & Sethuraman, K. (2022) · Cleaner Logistics and Supply Chain · doi:10.1016/j.clscn.2022.100058 · Cited by 70
A two-stage metaheuristic algorithm for the dynamic vehicle routing problem in Industry 4.0 approach
Abdirad, M., Krishnan, K., & Gupta, D. (2020) · Journal of Management Analytics · doi:10.1080/23270012.2020.1811166 · Cited by 69
Okorie, O., Charnley, F., Russell, J. D., Tiwari, A., & Moreno, M. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2715 · Cited by 75
Pourmehdi, M., Paydar, M. M., Ghadimi, P., & Azadnia, A. H. (2021) · Computers & Industrial Engineering · doi:10.1016/j.cie.2021.107808 · Cited by 69
Smoothing the circular economy transition: The role of resources and capabilities enablers
Seles, B. M. R. P., Mascarenhas, J., Lopes de Sousa Jabbour, A. B., & Trevisan, A. H. (2022) · Business Strategy and the Environment · doi:10.1002/bse.2985 · Cited by 66
Digital transformation and industry 4.0 employees: Empirical evidence from top digital nations
Nadeem, K., Wong, S. I., Za, S., & Venditti, M. (2023) · Technology in Society · doi:10.1016/j.techsoc.2023.102434 · Cited by 82
Sustainable food supply chains: overcoming key challenges through digital technologies
Mahroof, K., Omar, A., & Kucukaltan, B. (2021) · International Journal of Productivity and Performance Management · doi:10.1108/ijppm-12-2020-0687 · Cited by 50
van Eechoud, T., & Ganzaroli, A. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.136665 · Cited by 68
Piron, M., Wu, J., Fedele, A., & Manzardo, A. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.170263 · Cited by 69
Rodrigues Dias, V. M., Jugend, D., de Camargo Fiorini, P., Razzino, C. D. A., & Paula Pinheiro, M. A. (2022) · Journal of Air Transport Management · doi:10.1016/j.jairtraman.2022.102227 · Cited by 68
A Review on the Lifecycle Strategies Enhancing Remanufacturing
Fofou, R. F., Jiang, Z., & Wang, Y. (2021) · Applied Sciences · doi:10.3390/app11135937 · Cited by 66
Future images of data in circular economy for textiles
Luoma, P., Penttinen, E., Tapio, P., & Toppinen, A. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121859 · Cited by 66
Jabbour, A. B. L. D. S., Latan, H., Jabbour, C. J. C., & Seles, B. M. R. P. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122672 · Cited by 71
Self-citationKannan, D., Amiri, A. S., Shaayesteh, M. T., Nasr, A. K., & Mina, H. (2024) · Business Strategy and the Environment · doi:10.1002/bse.3886 · Cited by 81
Nandi, S., Hervani, A. A., Helms, M. M., & Sarkis, J. (2021) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2021.1974365 · Cited by 81
Zils, M., Howard, M. B., & Hopkinson, P. (2023) · Production Planning & Control · doi:10.1080/09537287.2023.2280907 · Cited by 84
Arroyabe, M. F., Arranz, C. F. A., & de Arróyabe, J. C. F. (2024) · Business Strategy and the Environment · doi:10.1002/bse.3858 · Cited by 79
Riding the Digital Product Life Cycle Waves towards a Circular Economy
Subramoniam, R., Sundin, E., Subramoniam, S., & Huisingh, D. (2021) · Sustainability · doi:10.3390/su13168960 · Cited by 63
Dehshiri, S. J. H., & Amiri, M. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.121745 · Cited by 63
Laosirihongthong, T., Samaranayake, P., Nagalingam, S. V., & Adebanjo, D. (2019) · Production Planning & Control · doi:10.1080/09537287.2019.1701233 · Cited by 62
Khanzode, A. G., Sarma, P. R. S., & Goswami, M. (2021) · Production Planning & Control · doi:10.1080/09537287.2021.1980908 · Cited by 62
Pauliuk, S., Koslowski, M., Madhu, K., Schulte, S., & Kilchert, S. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.130997 · Cited by 69
Waqas, M., & Tan, L. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-022-23082-w · Cited by 62
Perotti, F. A., Dhir, A., Ferraris, A., & Klieštik, T. (2023) · Journal of Management & Organization · doi:10.1017/jmo.2023.60 · Cited by 62
Ng, A. W., Nathwani, J. S., Fu, J., & Zhou, H. X. (2021) · Sustainability Science Practice and Policy · doi:10.1080/15487733.2021.1999079 · Cited by 66
Skalli, D., Charkaoui, A., Cherrafi, A., Shokri, A., Garza‐Reyes, J. A., & Antony, J. (2023) · International Journal of Production Research · doi:10.1080/00207543.2023.2251159 · Cited by 70
Neri, A., Cagno, E., Susur, E., Urueña, A., Nuur, C., Kumar, P. V., Franchi, S., & Sorrentino, C. (2024) · R and D Management · doi:10.1111/radm.12715 · Cited by 75
Industry 4.0: defining the research agenda
Erro‐Garcés, A. (2019) · Benchmarking An International Journal · doi:10.1108/bij-12-2018-0444 · Cited by 65
Dutta, P., Chavhan, R., Gowtham, P., & Singh, A. (2022) · Supply Chain Forum an International Journal · doi:10.1080/16258312.2022.2082851 · Cited by 62
Future research avenues at the nexus of circular economy and digitalization
Burmaoğlu, S., Güngör, D. Ö., Kirbac, A., & Sarıtas, O. (2022) · International Journal of Productivity and Performance Management · doi:10.1108/ijppm-01-2021-0026 · Cited by 60
The role of technology in enabling circular supply chain management
Chen, L., Jia, F., Steward, M. D., & Schoenherr, T. (2022) · Industrial Marketing Management · doi:10.1016/j.indmarman.2022.05.013 · Cited by 60
Piyathanavong, V., Huynh, V., Karnjana, J., & Olapiriyakul, S. (2022) · Operations Management Research · doi:10.1007/s12063-022-00283-7 · Cited by 59
Barrie, J., Zawdie, G., & João, E. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.12.287 · Cited by 59
Discovering IoT implications in business and management: A computational thematic analysis
Delgosha, M. S., Hajiheydari, N., & Talafidaryani, M. (2021) · Technovation · doi:10.1016/j.technovation.2021.102236 · Cited by 63
Measuring the Implications of Sustainable Manufacturing in the Context of Industry 4.0
Ivaşcu, L. (2020) · Processes · doi:10.3390/pr8050585 · Cited by 64
Smart manufacturing: a framework for managing performance
Parhi, S., Joshi, K., & Akarte, M. (2020) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2020.1858506 · Cited by 59
Ghoreishi, M., & Happonen, A. (2021) · Lecture notes in networks and systems · doi:10.1007/978-981-16-1781-2_18 · Cited by 58
Mejía-Moncayo, C., Kenné, J., & Hof, L. A. (2023) · Computers & Industrial Engineering · doi:10.1016/j.cie.2023.109282 · Cited by 62
Narkhede, G. B., Mahajan, S., Narkhede, R., & Chaudhari, T. (2023) · Business Strategy & Development · doi:10.1002/bsd2.325 · Cited by 58
Environmental Upgrading and Suppliers’ Agency in the Leather Global Value Chain
Marchi, V. D., & Maria, E. D. (2019) · Sustainability · doi:10.3390/su11236530 · Cited by 67
Circular plastics packaging – Prioritizing resources and capabilities along the supply chain
Stumpf, L., Schöggl, J., & Baumgartner, R. J. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.122261 · Cited by 64
A fuzzy TOPSIS model for selecting digital technologies in circular supply chains
Tanveer, U., Kremantzis, M. D., Roussinos, N., Ishaq, S., Kyrgiakos, L. S., & Vlontzos, G. (2023) · Supply Chain Analytics · doi:10.1016/j.sca.2023.100038 · Cited by 57
Big Data Analytics and AI for Green Supply Chain Integration and Sustainability in Hospitals
Allahham, M. I., Sharabati, A. A., Hatamlah, H. M. A., Ahmad, A., Sabra, S., & Daoud, M. K. (2023) · WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT · doi:10.37394/232015.2023.19.111 · Cited by 83
Okorie, O., Obi, M., Russell, J. D., Charnley, F., & Salonitis, K. (2021) · Sustainable Production and Consumption · doi:10.1016/j.spc.2021.02.013 · Cited by 60
Zhou, B., Siddik, A. B., Zheng, G.-W., & Masukujjaman, M. (2023) · Systems · doi:10.3390/systems11040198 · Cited by 56
Silvério, A. C., Ferreira, J. J., Fernandes, P. O., & Dabić, M. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.137312 · Cited by 68
A spatio-temporal perspective of China's industrial circular economy development
Tang, J., Tong, M., Sun, Y., Du, J., & Liu, N. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.135754 · Cited by 56
Narwane, V. S., Raut, R. D., Mangla, S. K., Gardas, B. B., Narkhede, B. E., Awasthi, A., & Priyadarshinee, P. (2020) · Annals of Operations Research · doi:10.1007/s10479-019-03502-w · Cited by 56
Liu, A., Liu, T., Mou, J., & Wang, R. (2020) · Journal of Management Science and Engineering · doi:10.1016/j.jmse.2020.06.001 · Cited by 56
Akbari, M. (2023) · Management Decision · doi:10.1108/md-03-2023-0412 · Cited by 61
A survey of deep learning-driven architecture for predictive maintenance
Li, Z., He, Q., & Li, J. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.108285 · Cited by 71
A Comprehensive Framework for the Analysis of Industry 4.0 Value Domains
Martínez-Olvera, C., & Mora‐Vargas, J. (2019) · Sustainability · doi:10.3390/su11102960 · Cited by 57
Green sourcing in the era of industry 4.0: towards green and digitalized competitive advantages
Fallahpour, A., Yazdani, M., Mohammed, A., & Wong, K. Y. (2021) · Industrial Management & Data Systems · doi:10.1108/imds-06-2020-0343 · Cited by 54
Boateng, I. D. (2023) · Food and Bioprocess Technology · doi:10.1007/s11947-023-03171-5 · Cited by 54
Santos, A. D. M., & Sant’Anna, Â. M. O. (2024) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2024.143023 · Cited by 64
Industry 4.0 technologies in support of circular Economy: A 10R-based integration framework
Ciano, M. P., Peron, M., Panza, L., & Pozzi, R. (2025) · Computers & Industrial Engineering · doi:10.1016/j.cie.2025.110867 · Cited by 73
Gallo, H., Khadem, A., & Alzubi, A. B. (2023) · Discrete Dynamics in Nature and Society · doi:10.1155/2023/4980895 · Cited by 58
Reaidy, P., Alaeddini, M., Gunasekaran, A., Lavastre, O., & Shahzad, M. A. (2024) · Production Planning & Control · doi:10.1080/09537287.2024.2440454 · Cited by 58
Maisiri, W., Dyk, L. V., & Coetzee, R. (2021) · Sustainability · doi:10.3390/su13031013 · Cited by 60
Mahdiraji, H. A., Yaftiyan, F., Kamardi, A. A. A., & Garza‐Reyes, J. A. (2022) · Computers & Industrial Engineering · doi:10.1016/j.cie.2022.108753 · Cited by 53
Akbari, M. (2023) · Computers & Industrial Engineering · doi:10.1016/j.cie.2023.109600 · Cited by 57
The model of distribution of human and machine labor at intellectual production in industry 4.0
Inshakova, A. O., Frolova, E. E., RUSAKOVA, E. P., & Kovalev, S. I. (2020) · Journal of Intellectual Capital · doi:10.1108/jic-11-2019-0257 · Cited by 51
Kashav, V., Garg, C. P., & Kumar, R. (2021) · Annals of Operations Research · doi:10.1007/s10479-021-04371-y · Cited by 51
Sharma, R., Jabbour, A. B. L. D. S., Jain, V., & Shishodia, A. (2021) · Journal of Enterprise Information Management · doi:10.1108/jeim-07-2021-0293 · Cited by 51
Nasir, A., Zakaria, N., & Yusoff, R. Z. (2022) · Cogent Business & Management · doi:10.1080/23311975.2022.2105575 · Cited by 64
Hasan, A. S. M. M., & Trianni, A. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.138597 · Cited by 51
Digital Supply Chain, Smart Operations and Industry 4.0
Ivanov, D., Tsipoulanidis, A., & Schönberger, J. (2018) · Springer texts in business and economics · doi:10.1007/978-3-319-94313-8_16 · Cited by 62
Zoppelletto, A., Orlandi, L. B., & Rossignoli, C. (2020) · The TQM Journal · doi:10.1108/tqm-04-2020-0077 · Cited by 64
Influence of political leaders on sustainable development goals–insights from twitter
Grover, P., Kar, A. K., Gupta, S., & Modgil, S. (2021) · Journal of Enterprise Information Management · doi:10.1108/jeim-07-2020-0304 · Cited by 50
Samadhiya, A., Agrawal, R., Luthra, S., Anil Kumar, K., Garza-Reyes, J., & Srivastava, D. (2022) · International Journal of Logistics Management · doi:10.1108/ijlm-04-2022-0192 · Cited by 44
ESG Excellence in the Digital World
Singh, R., Gupta, A. K., & Kandpal, V. (2024) · Wiley eBooks · doi:10.1002/9781394234035.ch10 · Cited by 50
Filho, M. G., Monteiro, L., Mota, R. D. O., Gonella, J. D. S. L., & Campos, L. M. D. S. (2022) · Sustainability · doi:10.3390/su14052772 · Cited by 49
Virmani, N., Saxena, P., & Raut, R. D. (2022) · Business Strategy and the Environment · doi:10.1002/bse.3054 · Cited by 49
Fernando, Y., Tseng, M., Nur, G. M., Ikhsan, R. B., & Lim, M. K. (2022) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2022.2107188 · Cited by 49
Kazançoğlu, Y., Mangla, S. K., Berberoğlu, Y., Lafçı, Ç., & Madaan, J. (2023) · Information Systems Frontiers · doi:10.1007/s10796-023-10430-5 · Cited by 49
Caiado, R. G. G., Scavarda, L. F., Vidal, G., Nascimento, D. L. D. M., & Garza‐Reyes, J. A. (2023) · Operations Management Research · doi:10.1007/s12063-023-00430-8 · Cited by 52
Does R&D intensity promote the adoption of circular supply chain management? Evidence from China
Chen, X., Chen, L., Jiang, M., & Yan, J. (2021) · Industrial Marketing Management · doi:10.1016/j.indmarman.2021.10.015 · Cited by 48
Can artificial intelligence’s limitations drive innovative work behaviour?
Zirar, A. (2023) · Review of Managerial Science · doi:10.1007/s11846-023-00621-4 · Cited by 62
How does performance vary between early and late adopters of Industry 4.0? A qualitative viewpoint
Antony, J., Sony, M., McDermott, O., Furterer, S. L., & Pepper, M. (2021) · International Journal of Quality & Reliability Management · doi:10.1108/ijqrm-05-2021-0134 · Cited by 51
Aldrighetti, R., Battini, D., Das, A., & Simonetto, M. (2022) · International Journal of Production Research · doi:10.1080/00207543.2022.2075291 · Cited by 48
Gadekar, R., Sarkar, B., & Gadekar, A. (2022) · Annals of Operations Research · doi:10.1007/s10479-022-04828-8 · Cited by 55
Industry 4.0 and Sustainability: A Bibliometric Literature Review
Tavares, A. T., & Varum, C. (2021) · Sustainability · doi:10.3390/su13063493 · Cited by 47
Vimal, K. E. K., Churi, K., & Kandasamy, J. (2022) · Sustainable Production and Consumption · doi:10.1016/j.spc.2022.03.006 · Cited by 46
Industry 4.0 and supply chain. A Systematic Science Mapping analysis
Núñez‐Merino, M., Marín, J. M. M., Moyano‐Fuentes, J., & Castaño-Moraga, C. A. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121788 · Cited by 50
Sica, D., Esposito, B., Malandrino, O., & Supino, S. (2022) · The International Journal of Life Cycle Assessment · doi:10.1007/s11367-022-02104-2 · Cited by 38
Schneikart, G., Mayrhofer, W., Löffler, C., & Frysak, J. (2024) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2024.107615 · Cited by 45
Junaid, M., Du, J., Mubarik, M. S., & Shahzad, F. (2024) · Business Strategy and the Environment · doi:10.1002/bse.3777 · Cited by 49
Jesus, C., & Lima, R. M. (2020) · Applied Sciences · doi:10.3390/app10175825 · Cited by 47
Metadata
- Authors
- Lopes de Sousa Jabbour, A. B., Jabbour, C. J. C., Godinho Filho, M., & Roubaud, D.
- Affiliations
- MBS School of Business (FR)
- ORCID
- Roubaud, David
- Venue
- Annals of Operations Research
- Published
- 2018-02-01
- Volume
- 270
- Issue
- 1-2
- Pages
- 273-286
- ISSN
- 0254-5330 (ISSN-L)
- 1572-9338
- OpenAlex
- W2791930516
- Cited by
- 1,116
- References
- 62
- Citations by year
- 2026: 85 · 2025: 126 · 2024: 147 · 2023: 187 · 2022: 196 · 2021: 176 · 2020: 112 · 2019: 67 · 2018: 20
- FWCI
- 156.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Annals of Operations Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Lincoln Repository (University of Lincoln) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- Industry 4.0, circular economy, sustainable operations management, circular business models, digital technologies in manufacturing, research agenda, research roadmap
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review