Generative AI-Powered Predictive Analytics Model: Leveraging Synthetic Datasets to Determine ERP Adoption Success Through Critical Success Factors

Generative AI-Powered Predictive Analytics Model: Leveraging Synthetic Datasets to Determine ERP Adoption Success Through Critical Success Factors

Data scarcity is a significant problem in Enterprise Resource Planning (ERP) adoption prediction, limiting the accuracy and reliability of traditional predictive models. This study addresses this issue by integrating Generative Artificial Intelligence (AI) technologies, specifically Generative Adver...

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Bibliographic Details
Main Authors: Hong K.C., Shibghatullah A.S.B., Ling T.C., Sarsam S.M.
Other Authors: 58774564500
Format: Article
Published: Science and Information Organization 2025
Subjects:
Computational complexity
Correlation methods
Decision trees
Enterprise resource planning
Resource allocation
Support vector machines
Auto encoders
Data scarcity
Enterprise resource planning adoption
Enterprise resources planning
Generative artificial intelligence
Pearson correlation coefficients
Predictive models
Random forests
Synthetic data
Variational autoencoder
Predictive analytics
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