AI Adoption in the Printing Industry: A FVM perspective

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.v6iSI5.294

A MULTI-LEVEL MODEL OF ENTERPRISE SYSTEMS ADOPTION

During past decades, enterprise systems (ES) are becoming increasingly popular and numerous IS researchers have investigated the adoption of ES. Most of them investigated ERP adoption at the firm level. Few papers investigate ES adoption at multi-level. On the basis of TOE model, this paper propose a multi-level framework that specifies the country-level, the firm-level, and the cross-level effects, examining the effects of two country-level variables and three firm-level factors on ES adoption. We found that a country’s uncertainty avoidance orientation has a positive impact on ES adoption. In addition, the positive impacts of firm size and technology competence on ES adoption become stronger with the increase in a country’s maturity of IT-related law. The study extends the TOE framework by using a multi-level perspective to understand ES adoption. The authors conclude the paper with a discussion of the study’s implications for practice and future research