AI Adoption in the Printing Industry: A FVM perspective

Abstract

Despite its application in high-profile areas, AI's utilisation in the print manufacturing sector is still scarce. Competitiveness and advances in this sector urgently require higher value-added processes, including digitisation, incorporation of advanced manufacturing technologies, and efficient resource utilisation. This paper outlined challenges in organisational adoption of AI demands systematic assessment of the fit and viability of software implementations in heterogeneous, concurrent, and integrated systems while accounting for the performance, efficiency, stability, and sustainability of the sector. We develop a working framework for further assessment based on multiple theories and case studies, with particular attention to the Fit-Viability Model (FVM).

Keywords: AI technologies adoption and implementation; Fit-Viability Model; printing industry; Industry 4.0

eISSN: 2398-4287© 2021. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.

DOI: https://doi.org/10.21834/ebpj.v6iSI5.2945