Artificial intelligence for Circular Economy 2.0: Opportunities, challenges, and outlook

Babu George; Babu George

doi:10.3934/ctr.2023011

Clean Technologies and Recycling

2023, Volume 3, Issue 3: 166-171. doi: 10.3934/ctr.2023011

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Editorial Special Issues

Artificial intelligence for Circular Economy 2.0: Opportunities, challenges, and outlook

Babu George ^,

Alcorn State University, USA

Received: 12 September 2023 Accepted: 13 September 2023 Published: 14 September 2023

Citation: Babu George. Artificial intelligence for Circular Economy 2.0: Opportunities, challenges, and outlook[J]. Clean Technologies and Recycling, 2023, 3(3): 166-171. doi: 10.3934/ctr.2023011

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References

[1]	George B (2022) Progress in Green Economics, Sharjah: Bentham Science Publishers. https://doi.org/10.2174/97898150501721220101
[2]	Ghisellini P, Cialani C, Ulgiati S (2016) A review on circular economy: the expected transition to a balanced interplay of environmental and economic systems. J Cleaner Prod 114: 11–32. https://doi.org/10.1016/j.jclepro.2015.09.007 doi: 10.1016/j.jclepro.2015.09.007
[3]	Ramirez A, George B (2019) Plastic recycling and waste reduction in the hospitality industry: Current challenges and some potential solutions. JEMS 4: 6–20. https://doi.org/10.14254/jems.2019.4-1.1 doi: 10.14254/jems.2019.4-1.1
[4]	Ratner S, Gomonov K, Lazanyuk I, et al. (2021) Barriers and drivers for circular economy 2.0 on the firm level: Russian case. Sustainability 13: 11080. https://doi.org/10.3390/su131911080 doi: 10.3390/su131911080
[5]	Chidepatil A, Bindra P, Kulkarni D, et al. (2020) From trash to cash: how blockchain and multi-sensor-driven artificial intelligence can transform the circular economy of plastic waste? Adm Sci 10: 23. https://doi.org/10.3390/admsci10020023 doi: 10.3390/admsci10020023
[6]	George B, Wooden O (2023) Managing the strategic transformation of higher education through artificial intelligence. Adm Sci 13: 196. https://doi.org/10.3390/admsci13090196 doi: 10.3390/admsci13090196
[7]	Yang L, Henthorne TL, George B (2020) Artificial intelligence and robotics technology in the hospitality industry: Current applications and future trends. In: George B, Paul J, Digital Transformation in Business and Society: Theory and Cases, New York: Springer International Publishing, 211–228. https://doi.org/10.1007/978-3-030-08277-2_13
[8]	Chen M, Liu Q, Huang S, et al. (2022) Environmental cost control system of manufacturing enterprises using artificial intelligence based on value chain of circular economy. Enterp Inf Syst 16: 1856422. https://doi.org/10.1080/17517575.2020.1856422 doi: 10.1080/17517575.2020.1856422
[9]	Torres PS, George B (2023) Disruptive transformation in the transport industry: Autonomous vehicles and transportation-as-a-service. Int J Emerg Trends Soc Sci 14: 28–37. https://doi.org/10.55217/103.v14i1.614 doi: 10.55217/103.v14i1.614
[10]	Ebong J, George B (2020) Demand for credit in high-density markets in Kampala: Application of digital lending and implication for product innovation. J Int Stud 13: 295–313. https://doi.org/10.14254/2071-8330.2020/13-4/21 doi: 10.14254/2071-8330.2020/13-4/21
[11]	Trevisan AH, Zacharias IS, Liu Q, et al. (2021) Circular economy and digital technologies: A review of the current research streams, Proceedings of the design society, 1: 621–630. https://doi.org/10.1017/pds.2021.62 doi: 10.1017/pds.2021.62
[12]	Ramadoss TS, Alam H, Seeram R (2018) Artificial intelligence and internet of things enabled circular economy. Int J Eng Sci 7: 55–63.
[13]	Sarkar SK, Toanoglou M, George B (2020) The making of data-driven sustainable smart city communities in holiday destinations, In: George B, Paul J, Digital Transformation in Business and Society: Theory and Cases, New York: Springer International Publishing, 273–296. https://doi.org/10.1007/978-3-030-08277-2_16
[14]	Wilson M, Paschen J, Pitt L (2022) The circular economy meets artificial intelligence (AI): Understanding the opportunities of AI for reverse logistics. Manag Environ Qual 33: 9–25. https://doi.org/10.1108/MEQ-10-2020-0222 doi: 10.1108/MEQ-10-2020-0222
[15]	Chauhan C, Parida V, Dhir A (2022) Linking circular economy and digitalisation technologies: A systematic literature review of past achievements and future promises. Technol Forecast Soc Change 177: 121508. https://doi.org/10.1016/j.techfore.2022.121508 doi: 10.1016/j.techfore.2022.121508
[16]	Friant MC, Vermeulen WJ, Salomone R (2020) A typology of circular economy discourses: Navigating the diverse visions of a contested paradigm. Resour Conserv Recy 161: 104917. https://doi.org/10.1016/j.resconrec.2020.104917 doi: 10.1016/j.resconrec.2020.104917
[17]	Ghoreishi M, Happonen A (2020) New promises AI brings into circular economy accelerated product design: a review on supporting literature, E3S web of conferences, EDP Sciences, 158: 06002. https://doi.org/10.1051/e3sconf/202015806002 doi: 10.1051/e3sconf/202015806002
[18]	Jose R, Panigrahi SK, Patil RA, et al. (2020) Artificial intelligence-driven circular economy as a key enabler for sustainable energy management. Mater Circ Econ 2: 1–7. https://doi.org/10.1007/s42824-020-00009-9 doi: 10.1007/s42824-020-00009-9
[19]	Agrawal R, Wankhede VA, Kumar A, et al. (2022) An exploratory state-of-the-art review of artificial intelligence applications in circular economy using structural topic modeling. Oper Manag Res 15: 609–626. https://doi.org/10.1007/s12063-021-00212-0 doi: 10.1007/s12063-021-00212-0
[20]	Chowdhury M, Sadek AW (2012) Advantages and limitations of artificial intelligence, Artificial intelligence applications to critical transportation issues, 6: 360–375.
[21]	Itza N, George B (2023) Advancing performance management in digital enterprises: exploring challenges, opportunities, and recommendations for the digital age. EFJ 12: 8–24.
[22]	Shahriar S (2020) Digital transformation in business and society: Theory and cases. Asia Pac Bus Rev 26: 523–525. https://doi.org/10.1080/13602381.2020.1738074 doi: 10.1080/13602381.2020.1738074
[23]	Aguilar S, George B (2021) Labor market trends, EdTech, and the need for digitally reengineering higher education, In: Khan BA, Kuofie MH, Suman S, Handbook of Research on Future Opportunities for Technology Management Education, 1 Ed., Hershey: IGI Global, 18–27. https://doi.org/10.4018/978-1-7998-8327-2.ch002
[24]	Sharma M, Luthra S, Joshi S, et al. (2022) Implementing challenges of artificial intelligence: Evidence from public manufacturing sector of an emerging economy. Gov Inf Q 39: 101624. https://doi.org/10.1016/j.giq.2021.101624 doi: 10.1016/j.giq.2021.101624

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