Goundar, Sanmugam and Reddy, Karuna G. and Khan, Mohammad G.M. (2024) A Logistic Regression Classification Model to Predict ERP Systems Adoption by SMEs in Fij. In: PRICAI 2023: Trends in Artificial Intelligence. Lecture Notes in Computer Science . Springer Nature, Singapore, pp. 447-452. ISBN 978-981-99-7024-7
Full text not available from this repository.Abstract
This study applies a popular data mining algorithm, as a branch of Artificial Intelligence (AI), to investigate the characteristics that influence the adoption of Enterprise Resource Planning (ERP) systems within SMEs in Fiji. A logistic regression classifier is utilised to identify the key determinants that contribute to the adoption of ERP systems. The study incorporates a comprehensive analysis of various demographic, organizational, technological and behavioral factors that provide valuable insights into the ERP-adoption patterns. From the model evaluations, the learnt model reveals that key influencing factors include SMEs knowledge and awareness, attitudes and beliefs, competitive pressure, perception of business process improvements, having high job specifications, and also having about 21–50 employees. All of these predictors have substantial effects on ERP adoption.
| Item Type: | Book Chapter |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | School of Information Technology, Engineering, Mathematics and Physics (STEMP) |
| Depositing User: | Ms Shalni Sanjana |
| Date Deposited: | 31 Mar 2025 21:35 |
| Last Modified: | 31 Mar 2025 21:35 |
| URI: | https://repository.usp.ac.fj/id/eprint/14887 |
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