Effective Cloud Resource Utilisation in Cloud ERP Decision-Making Process for Industry 4.0 in the United States

Abstract

Cloud enterprise resource planning (C-ERP) represents an evolution of traditional ERP, which also offers the advantages of cloud computing (CC) such as ease of use and resource elasticity. This article presents the opportunities and challenges of the C-ERP adoption for industry 4.0 in the United States as well as the factors that boost or hinder such a decision. The quantitative research method is used to gather the predictor factors and correlation amongst them. An online survey questionnaire received 109 responses, mainly decision-makers and professionals from the US consumer goods industry. Statistical analysis has been carried out to rank the different levels of influence in the C-ERP adoption decision. The predictor’s complexity and regulatory compliance positively influence C-ERP private service deployment, whereas technology readiness is a good predictor of community service deployment. This paper also proposes a decision support system (DSS), tailored to industry 4.0, and aimed at assisting decision-makers in adopting C-ERP as an effective resource for decision-making. The DSS is built upon the predictors using the analytic hierarchy process (AHP) and it supports decision-makers in the selection of services and deployment models for C-ERP as a resource.

Prioritising Organisational Factors Impacting Cloud ERP Adoption and the Critical Issues Related to Security, Usability, and Vendors: A Systematic Literature Review

“…Moreover, the introduction of cloud computing strategies will introduce more uncertainty into the ICT labour market [70]. Cloud skills such as transmitting and receiving data using data-sharing programs and web storage systems such as OneDrive or Dropbox necessitate employees having a solid general technical understanding of cloud products and services [71].…”

Influential Characteristics and Benefits of Cloud ERP Adoption in New Zealand SMEs: A Vendors’ Perspective

“…For organizational dimension, the study participants, and researcher [90] concur that the size of an organization influences adoption of cloud ERP by SMEs since they are usually short on knowledge and resources such as human and financial. This study has disclosed that top management support affects cloud ERP adoption as the senior management, who are typically the team leaders or owners, possess comprehensive information about what resources (technological and human) are available in the company.…”

“…Several researchers have proposed approaches which integrate multiple theoretical frameworks to examine the IS adoption of innovative technologies [e.g., 19,88,89]. Each of the theoretical frameworks focusing on either the individual or organizational levels may not be comprehensive enough on their own because each neglect to emphasize dimensions at both individual and organizational levels [90,91]. Table 2 highlights the focusing and neglecting dimensions for each of the IS adoption frameworks.…”

“…In this model, the clients usually rent out the service or application on a recurring fee basis with the deployment of server-centric data across the network from the CSPs or third party [10,88,89]. This has become a popular application model in SME [90,91]. Figure 1 highlights the areas managed by the clients or CSPs in the three service models.…”

Optimization of Industry 4.0 Implementation Selection Process towards Enhancement of a Manual Assembly Line

“…Hou et al [34,47] focus on the benefits that digital instructions bring compared to paper based instruction in terms of assembly time and number of error. Yoo et al [48] investigate the important factors for cloud computing adoption, while Marinho et al [49] proposed decision support for I4.0 that guides decision makers in adoption of cloud enterprise resource planning. Majdzik et al [50] proposed approach that focused on the concurrency and synchronization problem between assembly line and AGV.…”