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...

In this study, we explore the impact of COVID-19 pandemic on the default risk of loan portfolios of the Greek banking system, using cutting edge machine learning technologies, like deep learning. Our analysis is based on loan level monthly data, spanning a 42-month period, collected through the...

This Article introduces macro contract research, a new methodology using big-data analytics to study private law. In doing so, it reveals significant trends that suggest the outsized role of corporations and the slide towards textualism in the development of contract law. This Article thereby...

Poor scheduling and operations management can be very costly for clinics. There is a trade-off between the preference of patients for short waiting times and the preference of facilities for minimal idle times of medical staff. In outpatient scheduling, the common practice of assigning time...

Japan's feed self-sufficiency rate is the lowest among developed countries. The Japanese government has introduced a feed rice subsidy, a flagship agricultural policy, to address this issue. However, unlike expectations, the perceived benefit of growing feed rice is low, and about 60% of farmers...

With the extensive volume of data accumulation, the need for a powerful, and effective data management tool became prominent. As a result, Big Data Analytics became a major choice of data management for different industries. However, the adoption of Big Data Analytics has been slow in the...

This paper aims to propose a web-based intelligent packaging evaluation (WIPE) platform as an alternative method for assessing the performance of product and packaging systems during e-commerce distribution. The packaging industry primarily relies on laboratory evaluations to evaluate packaging...

Data-driven approaches to root cause analysis (RCA) have received attention recently due to their ability to exploit increasing data availability for more effective root cause identification in complex processes. Advancements in the field of causal inference enable unbiased causal investigations...