Computer Aptitude, Positive Affect, and Openness Personality Traits on Learning Enterprise Resource Planning Systems
Abstract
Enterprise resource planning (ERP) systems are intricate information systems integral to organisations, supporting functions like accounting, sales, materials management, and HR. This study explores the relationships between computer aptitude, positive affect, and the openness personality trait in successfully learning ERP systems. Data from students at two US universities were analysed using structural equation modelling. Findings indicate that users' computer aptitude and positive affect positively correlate with ERP learning performance, with openness influencing positive affect, which in turn impacts learning success. One significant contribution of this research is the exploration of non-technical factors, such as affect and personality, in learning complex systems. Additionally, the study supports the notion that positive affect and openness personality traits are influential predictors of ERP system learning success, emphasising the importance of critical thinking and analytical skills. This research provides a deeper understanding of the cognitive and emotional components that contribute to ERP system learning performance.
Recommended Citation
Lea, B., Sumner, M., & Mirchandani, D. A. (2025). Computer Aptitude, Positive Affect, and Openness Personality Traits on Learning Enterprise Resource Planning Systems. International Journal of Business and Systems Research, 19(1), pp. 1-22. Inderscience.
The definitive version is available at https://doi.org/10.1504/IJBSR.2025.143550
Department(s)
Business and Information Technology
Keywords and Phrases
computer aptitude; enterprise systems; personality traits; positive affect
International Standard Serial Number (ISSN)
1751-2018; 1751-200X
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2025 Inderscience, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Jan 2025
