Cloud Computing, Big Data, and Blockchain Technology Adoption in ERP Implementation Methodology

Understanding continuance intention of enterprise resource planning (ERP): TOE, TAM, and IS success model

This paper aims to identify the key factors influencing the intention to continue using enterprise resource planning (ERP) systems. Extending the Technology-Organization-Environment framework, the model integrates variables from both the Technology Acceptance Model and the Information Systems Success Model. We employed Partial Least Squares Structural Equation Modeling to analyze empirical data collected from 237 participants who use ERP systems in their workplaces. Our findings suggest that perceived usefulness has a positive impact on the intention to continue using ERP. Both system quality and information quality are pivotal in shaping perceived usefulness and perceived ease of use. Additionally, we found that top management support is a crucial determinant of continuance intention. The integrated model combines technological factors, organizational context, and environmental components to explain the ongoing use of ERP systems. This research enriches the existing literature on information systems, offering academics and managers deeper insights into the mechanisms driving continued ERP usage.

Evaluation of Critical Success Factors for Enterprise Resource Planning Implementation Using Quantitative Methods in Agricultural Processing Companies

This study aims to evaluate critical success factors (CSFs), considering the perspectives of various stakeholders who are involved in enterprise resource planning (ERP) implementation in agricultural processing companies in Central Macedonia (Greece). This evaluation—combined with aspects from the literature—may show how a digital production system can be managed and redesigned to become sustainable for a company. Research was conducted through the use of a specially designed questionnaire that was addressed to various stakeholders in the ERP implementation in agricultural processing companies. Descriptive statistics, Grey Relational Analysis (GRA), and Friedman test methods were used in order for relevant information to be identified and valid conclusions to be drawn. Given the results of the grey relational analysis (GRA), respondents consider 33 out of 37 critical success factors to be “very important”. Friedman test results seem to differ from GRA results in 19 out of 37 factors with regard to their ranking. Based on this, and using two different methods, the most important ERP critical success factors are highlighted. For the objective aim of this paper to be fulfilled, there is a contribution giving insights into stakeholders’ perspectives regarding the management of a digital production system in the field of agricultural processing companies. It also contributes to the literature, as it highlights methods that refer to the evaluation of critical success factors for ERP implementation.