An Insight into AI and ICT Towards Sustainable Manufacturing-Reference-Cited by-同舟云学术

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An Insight into AI and ICT Towards Sustainable Manufacturing

Published:2023 Issue: Volume: Page:271-280
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Ikumapayi Omolayo M.,Laseinde Opeyeolu T.,Ogedengbe Temitayo S.,Afolalu Sunday A.,Ogundipe Adebayo T.,Akinlabi Esther T.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-7753-4_21

Reference22 articles.

1. Borges AFS, Laurindo FJB, Spínola MM, Gonçalves RF, Mattos CA (2021) The strategic use of artificial intelligence in the digital era: systematic literature review and future research directions. Int J Inf Manage 57:102225. https://doi.org/10.1016/J.IJINFOMGT.2020.102225

2. Mikalef P, Fjørtoft SO, Torvatn HY (2019) Developing an artificial intelligence capability: a theoretical framework for business value. In: Lecture notes in business information processing (LNBIP), vol 373, pp 409–416. https://doi.org/10.1007/978-3-030-36691-9_34

3. Jamwal A, Agrawal R, Sharma M, Giallanza A (2021) Industry 4.0 technologies for manufacturing sustainability: a systematic review and future research directions. Appl Sci 11(12):5725. https://doi.org/10.3390/app11125725

4. Mikalef P, Pateli A (2017) Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: findings from PLS-SEM and fsQCA. J Bus Res 70:1–16. https://doi.org/10.1016/J.JBUSRES.2016.09.004

5. Machado CG, Winroth MP, Ribeiro da Silva EHD (2020) Sustainable manufacturing in Industry 4.0: an emerging research agenda. Int J Prod Res 58(5):1462–1484. https://doi.org/10.1080/00207543.2019.1652777

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1. Development and Performance Evaluation of Gmelina-Arborea based Cutting Fluid for the Turning of AISI 1405 Steel;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02

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