Academic work related to ARIES focuses on the development, validation, and application of AI-driven decision support models in digital marketing and managerial decision-making.
The research direction connects artificial intelligence, decision support systems, hybrid SEM–Machine Learning models, simulation-based validation, and decision stability as a criterion for evaluating decision-oriented models.
This section presents evaluated academic papers, conference submissions, doctoral research outputs, published articles, and author-approved versions of papers where public sharing is permitted.
Research Focus
Hybrid SEM–Machine Learning Models → Simulation-Based Validation → Decision Stability → ARIES Decision Support
The central research idea behind ARIES is that predictive models should not only generate outputs, but should also support stable, explainable, and strategically relevant decisions.
Key research themes include:
- AI-driven decision support systems
- Digital marketing analytics
- Hybrid SEM–Machine Learning modelling
- Simulation-based validation
- Decision stability
- Intelligent chatbot systems for managerial decision-making
- ARIES as a methodological decision layer
Available Research Work
This section will include academic papers and research outputs related to ARIES, digital marketing decision support, AI-based decision systems, and simulation-supported model validation.
Where possible, each research item will include the title, authors, abstract, research status, relation to ARIES, and an official publication link or author-approved version.