Technology Acceptance and User Experience in Enterprise Resource Planning Systems
Summary
Enterprise Resource Planning (ERP) systems have become indispensable for organisations seeking to integrate core business functions—such as finance, human resources, supply chain and customer relationship management—into a unified digital platform. Despite substantial investments, many deployments fail to deliver anticipated benefits owing to suboptimal end-user uptake and challenging user interfaces. Research into technology acceptance within ERP contexts has thus focused on understanding the determinants of user adoption, including perceived usefulness, perceived ease of use, social influence and organisational support. Concurrently, advances in user experience (UX) design have emphasised the importance of intuitive interfaces, personalised workflows and accessibility to foster sustained engagement. Investigations employ theoretical frameworks—such as the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT)—alongside quantitative methods like Partial Least Squares Structural Equation Modelling (PLS-SEM) to identify critical success factors. Recent work also explores hybrid analytical approaches, incorporating artificial neural networks and importance-performance matrix analysis to capture nonlinear relationships and to prioritise improvement initiatives. The global significance of this field lies in its capacity to enhance operational efficiency, support digital transformation strategies and improve employee satisfaction by aligning system capabilities with user expectations.
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Technology Acceptance and User Experience in Enterprise Resource Planning Systems publication trend
The graph below shows the total number of articles in technology acceptance and user experience in enterprise resource planning systems across all publications each year (not limited to Nature Index journals).
Technical terms
Enterprise Resource Planning (ERP) system: Integrated software platform that centralises data and processes across organisational functions.
Technology Acceptance Model (TAM): Theoretical framework positing that perceived usefulness and perceived ease of use predict technology adoption.
Unified Theory of Acceptance and Use of Technology (UTAUT): Model integrating multiple acceptance theories to explain behavioural intention through performance expectancy, effort expectancy, social influence and facilitating conditions.
Partial Least Squares Structural Equation Modelling (PLS-SEM): Statistical technique for estimating complex multivariate relationships, particularly in exploratory research.
Artificial Neural Network (ANN): Computational model inspired by biological neural networks, capable of capturing nonlinear associations among variables.
Importance–Performance Matrix Analysis (IPMA): Tool that maps the relative importance and performance of predictors to prioritise improvement efforts.
References
- Workhorse or White Elephant? End User Acceptance of ERP System in a Shared Service Center. HighTech and Innovation Journal (2023).
- Enhancing PLS-SEM-Enabled Research with ANN and IPMA: Research Study of Enterprise Resource Planning (ERP) Systems’ Acceptance Based on the Technology Acceptance Model (TAM). Mathematics (2022).
- A structural model of technology acceptance. SA Journal of Industrial Psychology (2015).
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