The use of machine learning (ML) methods has been widely discussed for over a decade. The search for the optimal model is still a challenge that researchers seek to address. Despite advances in current work that surpass the limitations of previous ones, research still faces new challenges in...

Banks' primary goal is to gain profit for survival and to thrive. Therefore, they have to take various measures, such as data analysis, to maintain their sustainable competitiveness. Along with the rapid development of information technology, big data analytics capabilities (BDAC) is considered...

Process Mining (PM) is a modern approach for analyzing business processes and associated with far-reaching improvements (such as increased internal control evaluation, or more efficient analysis of process activities within a workflow). It can thus leverage the capabilities of auditors to...

Process Mining has become a standard in many companies as part of process control in various areas. Previous papers for specific areas have discussed its use to ensure good governance. This paper proposes generic use cases of process mining in the context of assurance activities in the...

Taking the digital transformation of commercial banks as the entry point and the effective prevention of systemic risk as the landing point, this paper attempts to analyze the impact of digital transformation of commercial banks on systemic risk and its mechanism of action. This paper selected...