Technology Acceptance Model of ERP software in Small Business: A Systematic Literature review

Abstract

Adopting an ERP system could become a task that does not necessarily lead to success. In this work, we have conducted a systematic review of the literature considering the technology acceptance model (TAM) in an exhaustive search of 11 scientific databases, applying the PRISMA method. A total of 341 articles were obtained, and 53 were selected as eligible. The Iramuteq tool under R was applied to perform text analysis to quantify the results. We conclude that the relevant factors to consider in implementing an ERP become the mitigation of computational anxiety. The literature identifies some strategies, such as adequate end-user formation programs, documentation, technical facilitation conditions, social influence, and organizational motivators.

Digital Transformation and Risk Management for SMEs: A Systematic Review on Available Evidence

“…Previous study claimed that 89% of SMEs are in the exploration stage of digital transformation, 8% of SMEs are in the practice stage of digital transformation, and only 3% of SMEs are in the deep applied stage of digital transformation [42]. This is mainly because the technical complexity arises in adjusting existing ERP systems to be compatible with the advanced technology and to achieve a high level of automation [45][46] [47]. The combination of complexity of technologies, cyber-space and outsourcing in many business activities may increase hazard problems and lead to failure in operation [48].…”

Factors Affecting User Acceptance of ERP Systems in SMEs

“…ERP is the most effective information management system as it enhances the effectiveness and efficiency of a company's operation and processes and positively impacts employee performance. Implementing ERP software in a small or medium-sized business might provide considerable advantages compared to other firms, but certain circumstances may result in significant downsides (Crespo et al, 2023). In many organisations, user behaviour and adoption are influenced by the high cost and complexity of the system, (Chou & Hong, 2013) end-user acceptance, and possible managerial and socio-environmental factors during the implementation phase (Kwak et al, 2012).…”