Adoption of artificial intelligence and cutting-edge technologies for production system sustainability: A moderator-mediation analysis

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Publication date
2023
Author
Chatterjee, S.
Chaudhuri, R.
Kamble, S.
Gupta, S.
Sivarajah, Uthayasankar cc
Keyword
Artificial intelligence
Production system sustainability
Operational sustainability
Technology turbulence
Firm performance
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© The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
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openAccess

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Abstract
Cutting-edge technologies like big data analytics (BDA), artificial intelligence (AI), quantum computing, blockchain, and digital twins have a profound impact on the sustainability of the production system. In addition, it is argued that turbulence in technology could negatively impact the adoption of these technologies and adversely impact the sustainability of the production system of the firm. The present study has demonstrated that the role of technological turbulence as a moderator could impact the relationships between the sustainability the of production system with its predictors. The study further analyses the mediating role of operational sustainability which could impact the firm performance. A theoretical model has been developed that is underpinned by dynamic capability view (DCV) theory and firm absorptive capacity theory. This model was verified by PLS-SEM with 412 responses from various manufacturing firms in India. There exists a positive and significant influence of AI and other cutting-edge technologies for keeping the production system sustainable.
URI
http://hdl.handle.net/10454/19113
Version
Published version
Citation
Chatterjee S, Chaudhuri R, Kamble S et al (2023) Adoption of artificial intelligence and cutting-edge technologies for production system sustainability: A moderator-mediation analysis. Information Systems Frontiers. 25: 1779-1794.
Link to publisher’s version
https://doi.org/10.1007/s10796-022-10317-x
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Article
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