Journal of Information Systems Engineering and Management

The Indian automobile industry has experienced rapid growth over the past decade, driven by rising disposable incomes, urbanization, technological advancements, and supportive government policies. These developments have significantly transformed consumer behaviour, making car purchase decisions increasingly complex and multidimensional. This study examines the key factors in...

This study proposes a multimodal approach to the prediction of customer frustration and escalation risk in call centres of financial institutions based on voice (prosody) and text (sentiment) as well as interaction (metadata). Low, medium and high frustration class es were generated using the IEMOCAP dataset, and various machine-learning models were tested on it. These result...

The proposed approach in this research combines machine learning-based anomaly detection, safety evaluation and rollback mechanisms to create an autonomy-based framework for remediation of the distributed cloud systems which has verification constraints. It is used to assess the situation of the infrastructure, warn of abnormal conditions, assess operations, and assess recove...

The research utilizes explainable AI-based framework of reliability engineering for predictive failure management and self-healing operation to be developed and evaluated in hyper scale GPU clusters. The telemetry data produced were synthetic to model hardware, thermal, fabric, workload and maintenance condition. Random Forest, XGBoost and Random Survival Forest were used wit...

Healthcare information technology (IT) infrastructure has grown substantially in complexity alongside the accelerating adoption of electronic health records, clinical decision support systems, telehealth platforms, and patient-facing digital services. Managing this infrastructure reliably under high availability expectations, strict privacy obligations, and patient safety con...