A Fiscal Policy Foresight Tax Model, Shadow Economy Reduction, and E-Payment Institutionalization as a Result of Knowledge Management

Abstract

Foresight is the key for the economy, the business environment, and by extension society and politics to face various risks under conditions of uncertainty, which is becoming the norm as we progress through the 21st century. This paper proposes a wealth-based income tax model with an obligatory electronic transaction legal framework to advance fiscal knowledge management in Greek government. The research was conducted using an online questionnaire that was distributed to Greek tax payers via the snowball method. Linear regression was used to examine the associations between the variables. The research results provide insight into the factors driving the enhancement of tax revenue collection via artificial intelligence software after the widespread adoption of e-transactions. A fiscal tax e-payment reform policy based on an artificially intelligent tax foresight model succeeds in reducing income disparities caused by overtaxing honest taxpayers, thereby shrinking the shadow economy. With the widespread adoption of e-payments and complete digitization of financial transactions, the results of this study can serve as a foundation for the advancement of fiscal knowledge management and compliance with tax behavior. This study emphasizes the importance of planning ahead for taxes and coordinating information in order to reform fiscal policy for the better.