Optimization Model Under Uncertainty for Competitive Merchant to Customer Behavior in Financial Technology Using Business Metrics

Abstract

Uncertainty of diverse merchant business actors is very much characteristic nowadays; its variants very much depend on the type of business actors, especially digital businesses. In this study we refer to E-Metrics, where every merchant and biller are netted in user behavior activities under the term Financial Technology “acquisition.” Business actors tend to continue to compete in prioritizing innovation so that a Knowledge Acceleration Estimator (KAE) model is needed as performance to facilitate the acceleration of sustainable business under uncertainty in business opportunities, in challenges of electronic kind, or so-called e-metrics.