Predicting Success in using ERP Systems
Abstract
This research explores the influence of personality types on ERP system learning performance. Four personality types were identified using cluster analysis based on the Big Five personality traits, i.e., conscientiousness, neuroticism, extraversion, openness, and agreeableness. These four personality types were found to be significantly associated with ERP learning performance. Additionally, prior knowledge, learning motivation, demographic factors (such as gender, age, year in school), and social as well as culture influences were found to moderate the relationships between the personality types and ERP learning performance. These findings can provide valuable insights for the organizational success of ERP systems by helping to identify which users can learn to utilize these systems effectively.
Recommended Citation
Lea, B., Mirchandani, D., & Sumner, M. (2020). Predicting Success in using ERP Systems. Proceedings of the 2020 Computers and People Research Conference (2020, Nuremberg, Germany), pp. 162-163. Association for Computing Machinery (ACM).
The definitive version is available at https://doi.org/10.1145/3378539.3393843
Meeting Name
Computers and People Research Conference, SIGMIS-CPR '20 (2020: Jun. 19-21, Nuremberg, Germany)
Department(s)
Business and Information Technology
Keywords and Phrases
ERP; Information Systems; Learning Performance; Personality Traits
International Standard Book Number (ISBN)
978-145037130-8
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2020 Association for Computing Machinery (ACM), All rights reserved.
Publication Date
21 Jun 2020
